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This is a self-study guide for the {HP2-I08 Implementing HP Command Center for HP Workpath app management 2020} Video Course. It covers all the information that candidates need to know in order to pass this certification examination.
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Hyderabad (Andhra Pradesh)
3. How will you find which operating system your system is running on in UNIX? By using command "uname -a" in UNIX 4. How will you run a process in background? How will you bring that into foreground and how will you kill that process? For running a process in background use "&" in command line. For bringing it back in foreground use command "fg jobid" and for getting job id you use command jobs, for killing that process find PID and use kill -9 PID command. This is indeed a good Unix Command interview questions because many of programmer not familiar with background process in UNIX. 5. How do you know if a remote host is alive or not? You can check these by using either ping or telnet command in UNIX. This question is most asked in various Unix command Interview because its most basic networking test anybody wants to do it. 6. How do you see command line history in UNIX? Very useful indeed, use history command along with grep command in UNIX to find any relevant command you have already executed. Purpose of this Unix Command Interview Questions is probably to check how familiar candidate is from available tools in UNIX operation system. 7. How do you copy file from one host to other? Many options but you can say by using "scp" command. You can also use rsync command to answer this UNIX interview question or even sftp would be ok. 8. How do you find which process is taking how much CPU? By using "top" command in UNIX, there could be multiple follow-up UNIX command interview questions based upon response of this because “TOP” command has various interactive options to sort result based upon various parameter. 9. How do you check how much space left in current drive ? By using "df" command in UNIX. For example "df -h ." will list how full your current drive is. This is part of anyone day to day activity so I think this Unix Interview question will be to check anyone who claims to working in UNIX but not really working on it. Read more: http://javarevisited.blogspot.com/2011/05/unix-command-interview-questions.html#ixzz3W1H6kWrg
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Hyderabad (Andhra Pradesh)
6. How do you see command line history in UNIX? Very useful indeed, use history command along with grep command in UNIX to find any relevant command you have already executed. Purpose of this Unix Command Interview Questions is probably to check how familiar candidate is from available tools in UNIX operation system. 7. How do you copy file from one host to other? Many options but you can say by using "scp" command. You can also use rsync command to answer this UNIX interview question or even sftp would be ok. 8. How do you find which process is taking how much CPU? By using "top" command in UNIX, there could be multiple follow-up UNIX command interview questions based upon response of this because “TOP” command has various interactive options to sort result based upon various parameter. Read more: http://javarevisited.blogspot.com/2011/05/unix-command-interview-questions.html#ixzz3W1KOcqlC
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Hyderabad (Andhra Pradesh)
UNIX Interview Questions and Answers UNIX or Linux operating system has become default Server operating system and for whichever programming job you give interview you find some UNIX command interview questions there. These UNIX command interview questions are mostly asked during Java development and Support role interviews on various investment banks mostly because most of electronic trading systems or stock trading system works on Unix servers. As we know that high volume low latency systems which wants to take advantage of little bit of volatility in market for Equity , Futures and options or Foreign exchange trading need a stable server side operating system and Redhat Linux is doing great job there. with the advent of Algorithmic trading this speed factor becomes more important so getting someone who has good knowledge of operating system and commands on which these trading system runs is definitely required. but these UNIX command interview questions are equally applicable for any job interview which requires some work on Unix Operating System. With the growing use of Linux in form of RedHat, Solaris and IBM AIX its must to keep you familiar with essential Linux commands available on various platforms. Unix and Linux Command Interview Questions and AnswersLong back I had once asked one of my friend why are you preparing Unix Command interview questions if you going for a Java Interview and he told me that this job doesn't only require knowledge of Java but also knowledge of Unix, Linux, SQL and other scripting language , which is quite true. After that I thought to collect various UNIX command interview questions asked to Java developers or trading system support interviews and this is the result of that compilation. This list of UNIX command interview questions are by means complete and would be great if you guys contribute some genuine and good Unix Command Interview questions and answers asked during interviews. I have divided the questions on three categories for sake of managing and keeping this list of Unix Interview questions up to date. Read more: http://javarevisited.blogspot.com/2011/05/unix-command-interview-questions.html#ixzz3W1UbYiXn
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Pune (Maharashtra)
Microstrategy Traning at learning hub Magarpatta city /FC Road Pune (+91-93257-93756) www.learninghub.co.in Microstrategy Course Content at Learning Hub Introduction Business Intelligence OLAP Introduction of BI tools Database Overview Introduction to Microstrategy Microstrategy Architecture Microstrategy Desktop Microstrategy Web Microstrategy Servers Administration Folder Structure My Personal Objects Public Object Schema Object Metadata Report View Data – Export Auto Styles Custom Groups Facts Tables Update Scheme Microstrategy Tutorial (Direct) Advance Features Project Configuration Attribute Creation Metric Creation Drill Map Templates Prompt Filter Administration Facts Creation Of Reports Grid Report Analyzing Data Transformations Hierarchies Data Explorer Adhoc Reports Report Creation On Web Searches Documents Joins Experts Features and Administration Project Installation Intelligence Server User Privilege Security Implementation Object Manager Command Manager Formatting Report Administrative Configurations Web Creating Documents Document Properties Dashboards Working with dashboards Narrowcast Server Creating services Configuring Narrowcast server Scheduling reports through narrowcast server Narrowcast server Administration Different execution procedures in Narrowcast server Administration Command manager Enterprise manager Object manager Migration of reports to different environment Security filters Creation of users and Privileges Please Contact- Microstrategy Traning at learning hub Magarpatta city /FC Road Pune (+91-93257-93756) www.learninghub.co.in Microstrategy Course Content at Learning Hub Introduction Business Intelligence OLAP Introduction of BI tools Database Overview Introduction to Microstrategy Microstrategy Architecture Microstrategy Desktop Microstrategy Web Microstrategy Servers Administration Folder Structure My Personal Objects Public Object Schema Object Metadata Report View Data – Export Auto Styles Custom Groups Facts Tables Update Scheme Microstrategy Tutorial (Direct) Advance Features Project Configuration Attribute Creation Metric Creation Drill Map Templates Prompt Filter Administration Facts Creation Of Reports Grid Report Analyzing Data Transformations Hierarchies Data Explorer Adhoc Reports Report Creation On Web Searches Documents Joins Experts Features and Administration Project Installation Intelligence Server User Privilege Security Implementation Object Manager Command Manager Formatting Report Administrative Configurations Web Creating Documents Document Properties Dashboards Working with dashboards Narrowcast Server Creating services Configuring Narrowcast server Scheduling reports through narrowcast server Narrowcast server Administration Different execution procedures in Narrowcast server Administration Command manager Enterprise manager Object manager Migration of reports to different environment Security filters Creation of users and Privileges Please Contact- Learning Hub, S-12,Destination Centre, 2nd Floor, Above HDFC Bank, Next to Noble Polyclinic, MAGARPATTA CITY, PUNE – 411013, PH: +91- 93257-93756. Skype id : learning.hub01 Email: learninghub01@gmail.com www.learninghub.co.in Microstrategy Online Training, Microstrategy Class Room Training, Microstrategy Training in Magarpatta City, Microstrategy Jobs and Placement, MicrostrategyRemote Support, MicrostrategyOnline Help, Microstrategy Videos training, Microstrategyt raining by Learning Hub, Fast track classes in Microstrategy, Best Microstrategy training institutes in Pune, Best Faculty inMicrostrategy, Best online Faculty in Microstrategy, Professional classroom training inMicrostrategy, Professional online trainingMicrostrategy, Microstrategy Certification ,Microstrategy training in Dubai,MicrostrategyTraining in Melbourne, Microstrategy Training in Dubai, MicrostrategyTraining,MicrostrategyWorkflow Training Microstrategy Training, MicrostrategyOnline Training,Microstrategycertfication and support
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Chennai (Tamil Nadu)
PERIDOT SYSTEM is the NO.1 training institute in Chennai with expert professional trainers. Excellent environment is available for the students to learn shell scripting. Training is provided for both fresher and working professional who wants to make their career in IT industry. Technical support is provided till placement and we offer 70% of practical classes and 30% of theory classes. Definitely we satisfy the student requirement through our best quality of training. COURSE HIGHLIGHTS • Certificate will provide after completion of training • Free demo class for 2 days • LCD projector is available • Free interview preparation • 100% placement • Immediate response • Interactive classes • Limited batch size • Technical support upto 1 year SHELL SCRIPTING UNIX shell designed a computer program which is named as Shell Script and it provide different types of system command where command operation, special environment settings and post processing apply automatically but it allows the new script to act as a normal unix command. SYLLABUS OF SHELL SCRIPTING • Basics of shell script • Writing shell script • Loops • Conditional statement • Functions and manipulations • Command line arguments • SED and AWK • Misc • Processes • Regular expressions • Filters • parameters Mobile No:8056102481 (student advisor) Landline No: 044-42115526 Mail us: papitha.v@peridotsystems.in Tags: best shell scripting training institute in Chennai, best training institute in Chennai, shell scripting training institute
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Pune (Maharashtra)
Linux Course Content at Learning Hub (+91-9325793756) www.learninghub.co.in 1.Introduction to Unix & Linux • History of Unix & Linux • Basic Concepts of Operating Systems, Kernel, shell and file system structure • Basic Concepts of Linux • Basic Commands of Linux • Advanced Linux Commands 2.Installation of Linux • Interactive Installation • Kickstart Installation • Network based Installation • 3.Startup and Shutdown scripts • Boot Sequence • Kernel Initialization • INIT Process 4.Software Package Administration • Installing and deleting software packages • Querying and updating software packages 5.Dynamic Host Configuration Protocol (DHCP) • Configuring Linux as DHCP server • Configuring various clients for dhcp server (Windows & Linux) • 6.NFS • Configuring NFS server • Mounting NFS exports on NFS clients 7.Network Information Service (NIS) • Basics of NIS • Configuring NIS master server, slave server and client • Creating NIS users • 8.DNS with Bind • Basis of Internet • Basic of DNS and BIND • Configuring DNS primary server, and secondary servers • Configuring DNS for multiple domains and sub domains • Configuring various clients ( Windows & Linux) • 9.Web Server ( Apache) • Basics of web service • Introduction to Apache • Configuring Apache for main site • Configuring Apache for multiple sites using IP-based, port-based and name-based virtual hosting 10.FTP server (vsftp daemon) • Basics of File Transfer protocol • Configuring samba to act as member server for Windows Network • Configuring samba service for file sharing with windows systems 11.RAID (Redundant Array of Inexpensive Disks) • Implementing RAID on Linux • Pre installation / Post Installation • RAID levels (0, 1, and 5) configuration using RAID tools. 12.Disk Partitioning and Mounting File System • Using fdisk, disk druid utilities for disk partitioning • Using mkfs, dd commands to create file systems • Mounting various file systems • Auto mounting of file system • Logical Volume Manager (LVM) 13.Quotas • Enabling Quotas on partitions • Creating Quotas for users • Auditing quotas 14.Introduction to Graphical Environment • Use and customize the GNOME interface • Perform command tasks using the GNOME GUI • Launch applications from command line and GNOME interface • Customize X Window System 15.User and group administration • Creating and deleting users from the system • Modifying users profile • Creating and deleting groups • Important system files related to user administration 16.Advanced file permissions (ACL) • Assigning advanced files permissions i.e. SUID, SGID and Sticky bit • Creating, modifying and deleting ACL's 17.Backup and recovery • Introduction to various types of backup media • Backup and restoring data using dump / restore commands • Backup and restoring using tar and cpio commands • Automation of Jobs • 18.Securing your Linux Server • Implementing local security • Implementing network security • Implementing data security • Basic elements of Fire Wall using IP Tables • Configuring proftpd for anonymous ftp services 19.Mail Server(SMTP,POP3,IMAP) • Basics of Mail servers • Configuring SMTP services • Configuring POP3/IMAP service on Linux • Integrating Antivirus and Antispam. 20.Proxy Server (Squid) • Basics of proxy services • Configuring proxy services • Creating ACL's for controlling access to internet 21.Samba service • Basics of file sharing in Windows 22.Web Based Administration • Installing Webmin on Linux • Administrating the Linux machine remotely • Using Webmin as a Tool for configuring various services on Linux 23.Troubleshooting your system • Recovering the super user password • Recovering the boot loader (GRUB) • Troubleshooting Xserver problems • Troubleshooting network related problems Please Contact Learning Hub, S-12,Destination Centre, 2nd Floor, Above HDFC Bank, Next to Noble Polyclinic, MAGARPATTA CITY, PUNE – 411013, PH: +91- 93257-93756. Skype id : learning.hub01 Email: learninghub01@gmail.com www.learninghub.co.in Linux Course Online Training, Linux Course Class Room Training Linux Course Training in Magarpatta City, Linux Course Jobs and Placement, Linux Course Remote Support, Linux Course Online Help, Linux Course Videos training, Linux Course Training by Learning Hub, Fast track classes in Linux Course, Best Linux Course training institutes in Pune, Best Faculty in Linux Course, Best online Faculty in Linux Course, Professional classroom training in Linux Course, Professional online training in Linux Course, Linux Course Certification, Linux Course training in Dubai, Linux Course Training in Melbourne, Linux Course Training in Dubai, Linux Course Training, Linux Course Workflow Training, Training, Linux Course Online Training, Linux Course certfication and supporta
₹ 25
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Pune (Maharashtra)
Linux Administration Syllabus Linux Administration Syllabus Course ContentTraning at learning hub Magarpatta city /FC Road Pune. (+91-93257-93756) www.learninghub.co.in Introduction to Unix & Linux History of Unix & Linux Basic Concepts of Operating Systems, Kernel, shell and file system structure Basic Concepts of Linux Basic Commands of Linux Advanced Linux Commands Installation of Linux Interactive Installation Kickstart Installation Network based Installation Startup and Shutdown scripts Boot Sequence Kernel Initialization INIT Process Software Package Administration Installing and deleting software packages Querying and updating software packages Dynamic Host Configuration Protocol (DHCP) Configuring Linux as DHCP server Configuring various clients for dhcp server (Windows & Linux) NFS Configuring NFS server Mounting NFS exports on NFS clients Network Information Service (NIS) Basics of NIS Configuring NIS master server, slave server and client Creating NIS users DNS with Bind Basis of Internet Basic of DNS and BIND Configuring DNS primary server, and secondary servers Configuring DNS for multiple domains and sub domains Configuring various clients ( Windows & Linux) Web Server ( Apache) Basics of web service Introduction to Apache Configuring Apache for main site Configuring Apache for multiple sites using IP-based, port-based and name-based virtual hosting FTP server ( vsftp daemon) Basics of File Transfer protocol Configuring proftpd for anonymous ftp service Mail Server(SMTP,POP3,IMAP) Basics of Mail servers Configuring SMTP services Configuring POP3/IMAP service on Linux Integrating Antivirus and Antispam. Proxy Server (Squid) Basics of proxy services Configuring proxy services Creating ACL's for controlling access to internet Samba service Basics of file sharing in Windows Configuring samba to act as member server for Windows Network Configuring samba service for file sharing with windows systems RAID (Redundant Array of Inexpensive Disks) Implementing RAID on Linux Pre installation / Post Installation RAID levels ( 0, 1, and 5) configuration using RAID tools. Disk Partitioning and Mounting File System Using fdisk, disk druid utilities for disk partitioning Using mkfs, dd commands to create file systems Mounting various file systems Auto mounting of file system Logical Volume Manager (LVM) Quotas Enabling Quotas on partitions Creating Quotas for users Auditing quotas Introduction to Graphical Environment Use and customize the GNOME interface Perform command tasks using the GNOME GUI Launch applications from command line and GNOME interface Customize X Window System User and group administration Creating and deleting users from the system Modifying users profile Creating and deleting groups Important system files related to user administration Advanced file permissions (ACL) Assigning advanced files permissions i.e. SUID, SGID and Sticky bit Creating, modifying and deleting ACL's Backup and recovery Introduction to various types of backup media Backup and restoring data using dump / restore commands Backup and restoring using tar and cpio commands Automation of Jobs Securing your Linux Server Implementing local security Implementing network security Implementing data security Basic elements of Fire Wall using IP Tables Web Based Administration Installing Webmin on Linux Administrating the Linux machine remotely Using Webmin as a Tool for configuring various services on Linux Troubleshooting your system Recovering the super user password Recovering the boot loader (GRUB) Troubleshooting Xserver problems Troubleshooting network related problems. Please Contact- Learning Hub, S-12,Destination Centre, 2nd Floor, Above HDFC Bank, Next to Noble Polyclinic, MAGARPATTA CITY, PUNE – 411013, PH: +91- 93257-93756. Skype id : learning.hub01 Email: learninghub01@gmail.com www.learninghub.co.in Linux Administration SyllabusOnline Training, Linux Administration SyllabusClass Room Training, Linux Administration SyllabusTraining in Magarpatta City, Linux Administration SyllabusJobs and Placement, Linux Administration SyllabusRemote Support, Linux Administration SyllabusOnline Help, Linux Administration SyllabusVideos training, Linux Administration Syllabustraining by Learning Hub, Fast track classes in, Best Linux Administration Syllabustraining institutes in Pune, Best Faculty inLinux Administration Syllabus, Best online Faculty in Linux Administration Syllabus, Professional classroom training in Linux Administration Syllabus, Professional online training in Linux Administration Syllabus, Linux Administration SyllabusCertification, Linux Administration Syllabustraining in Dubai, Linux Administration SyllabusTraining in Melbourne, Linux Administration SyllabusTraining in Dubai, Linux Administration SyllabusTrainingLinux Administration SyllabusWorkflow TrainingLinux Administration SyllabusTraining, Linux Administration SyllabusOnline Training, Linux Administration Syllabus cacertfication and support
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Hyderabad (Andhra Pradesh)
Splunk Course Topics phno:8179736190 040-40154733 A. Machine Data Basics • Application Logs • Web Access Logs • Web Proxy Logs • Call Detail Records • Clickstream Data • Message Queuing • Packet Data • Configuration Files • Database Audit Logs and Tables • File System Audit Logs • Management and Logging APIs • OS Metrics, Status, and Diagnostic Commands • Other Machine Data Sources B. The Story of Splunk • Splunk to the Rescue in the Datacenter • Splunk to the Rescue in the Marketing Department • Approaching Splunk • Splunk: The Company and the Concept • How Splunk Mastered Machine Data in the Datacenter • Operational Intelligence • Operational Intelligence at Work C. Getting Data In • Machine Data Basics • Types of Data Splunk Can Read • Splunk Data Sources • Downloading, Installing, and Starting Splunk • Bringing Data in for Indexing • Understanding How Splunk Indexes Data D. Searching with Splunk • The Search Dashboard • SPL™: Search Processing Language • Pipes • Implied AND • top user • fields – percent • The search Command • Tips for Using the search Command • Subsearches E. SPL: Search Processing Language • Sorting Results • sort • Filtering Results • where • dedup • head • Grouping Results • transaction • Reporting Results • top • stats • chart
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Hyderabad (Andhra Pradesh)
PART I: EXPLORING SPLUNK Machine Data Basics Application Logs Web Access Logs Web Proxy Logs Call Detail Records Clickstream Data Message Queuing Packet Data Configuration Files Database Audit Logs and Tables File System Audit Logs Management and Logging APIs OS Metrics, Status, and Diagnostic Commands Other Machine Data Sources The Story of Splunk Splunk to the Rescue in the Datacenter Splunk to the Rescue in the Marketing Department Approaching Splunk Splunk: The Company and the Concept How Splunk Mastered Machine Data in the Datacenter Operational Intelligence Operational Intelligence at Work Getting Data In Machine Data Basics Types of Data Splunk Can Read Splunk Data Sources Downloading, Installing, and Starting Splunk Bringing Data in for Indexing Understanding How Splunk Indexes Data Searching with Splunk The Search Dashboard SPL™: Search Processing Language Pipes Implied AND top user fields – percent The search Command Tips for Using the search Command Subsearches SPL: Search Processing Language Sorting Results sort Filtering Results where dedup head Grouping Results transaction Reporting Results top stats chart timechart Filtering, Modifying, and Adding Fields fields replace eval rex lookup Enriching Your Data Using Splunk to Understand Data Identifying Fields: Looking at the Pieces of the Puzzle Exploring the Data to Understand its Scope Preparing for Reporting and Aggregation Visualizing Data Creating Visualizations Creating Dashboards Creating Alerts Creating Alerts through a Wizard Tuning Alerts Using Manager Customizing Actions for Alerting The Alerts Manager
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Hyderabad (Andhra Pradesh)
sadguru technologies--040-40154733 Splunk to the Rescue in the Datacenter Splunk to the Rescue in the Marketing Department Approaching Splunk Splunk: The Company and the Concept How Splunk Mastered Machine Data in the Datacenter Operational Intelligence Operational Intelligence at Work A.Getting Data In Machine Data Basics Types of Data Splunk Can Read Splunk Data Sources Downloading, Installing, and Starting Splunk Bringing Data in for Indexing Understanding How Splunk Indexes Data B.Searching with Splunk The Search Dashboard SPL™: Search Processing Language Pipes Implied AND top user fields – percent The search Command Tips for Using the search Command Subsearches C.SPL: Search Processing Language Sorting Results
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Hyderabad (Andhra Pradesh)
A.Getting Data In Machine Data Basics Types of Data Splunk Can Read Splunk Data Sources Downloading, Installing, and Starting Splunk Bringing Data in for Indexing Understanding How Splunk Indexes Data B.Searching with Splunk The Search Dashboard SPL™: Search Processing Language Pipes Implied AND top user fields – percent The search Command Tips for Using the search Command Subsearches C.SPL: Search Processing Language Sorting Results sort Filtering Results where dedup head Grouping Results transaction Reporting Results top stats chart timechart Filtering, Modifying, and Adding Fields fields replace
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Hyderabad (Andhra Pradesh)
The Search Dashboard SPL™: Search Processing Language Pipes Implied AND top user fields – percent The search Command Tips for Using the search Command Subsearches C.SPL: Search Processing Language Sorting Results sort Filtering Results where dedup head Grouping Results transaction Reporting Results top stats chart timechart Filtering, Modifying, and Adding Fields fields replace eval
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India
Overview: Microsoft Windows PowerShell command line shell and scripting language helps IT professionals achieve greater control and productivity. Using a new admin-focused scripting language, more than 130 standard command line tools, and consistent syntax and utilities, Windows PowerShell allows IT professionals to more easily control system administration and accelerate automation. ABOUT ECORPTRAININGS: Ecorp Trainings are one of the best institute providing quality level of training in E-learning process.This is instructor led online training. We also provide corporate training , if group of people interested in same technology. Contact us for detailed course content & register for a free demo. We also provide support in client interviews , resume preparation , ticket resolving. Contact us for custom designed training course by experts exclusively for yourself. We provide training for almost all IT technologies i.e ; JAVA , DOTNET , SAP ,ORACLE , PEOPLESOFT ,HYPERION etc, contact us if you have any particular need. ECORP TRAININGS. Gtalk ID : ecorptrainings Skype ID : ecorptrainings
Free
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Kanpur (Uttar Pradesh)
Studying abroad is not an easy thing. You have to move to an entirely different country to study. So, if you have good skills and command over a particular subject that's good, but In case you are still confused about selecting a particular course, preparation and study strategies.  Don't worry contact with us We help you in improving your personality and your command over spoken that you can able to live your dreams. Visit here: https://bit.ly/2AwnOYa Contact with us: 8009000014
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Chennai (Tamil Nadu)
Peridot Systems Course outline of Sales force Developer Training Design SAAS Applications on Force.com • Considerations when building a data model • Develop custom objects and fields, encrypted fields, field help, and field history tracking • Create a user interface for custom applications using the Custom Object tab, Page Layout, and Customization options • Field attributes on the page layout • Use the Custom Object queue and event-based workflow rules with field update actions • Develop custom formulas and validation rules Designing Applications for Multiple Users • Considerations when designing applications for multiple users • Record types and page layouts • Control access to records • Employ Organization Wide Defaults (OWD), sharing rules and levels, roles, public groups, and manual share • Apply profiles, OWDs, role hierarchy, and sharing to restrict access to sensitive data • Apply OWDs, public groups, and manual sharing to create conditional access to data • When to use Field Level Security (FLS), page layouts, and record types Implementing Business Processes • Validation rules • Functions for data format and data consistency • Approval workflows and escalations • Parallel approval workflows and workflow approvals with dynamic approval routing • Outbound messages as part of an approval workflow • Approval workflow with cross object formulas • Set up field history tracking • Prevent or record data changes Managing Data • Learn when and how to use upsert • Configure the Data Loader via command line • Encrypt passwords using encrypt.bat • Data Loader to create mapping files and to upsert data Visual force Pages • Capabilities of the Visual force framework • Using Visual force pages into Sales force • Construct expression bindings and incorporate • Visual force pages with Visual force tags • Use Visual force tags to create page layouts, input forms, output tables, custom components, and more • Create partial page refreshes on JavaScript events • Visual force standard controllers • Need for Apex to create custom controllers or extensions Venue: Peridot Systems #84/8 Venkatarathinam Main Street, Venkatarathinam Nagar, Adyar, Chennai - 600 020. (Near Adyar BSNL Telephone Exchange) CONTACT: 9952954654
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in HIVE
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in HIVE II. PIG • Basics • Installation and Configurations • Commands….
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering,
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join and...
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce
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Bangalore (Karnataka)
We offer training on STAAD-Pro by realtime trainer. Course details Introduction Problem initiation, unit specification Material Specification Member Specification Listining members, joints etc., Load specification Analysis Specification Selection Specification Finite element information Mesh generation, member property Element load specification for joints Concrete design as per IS-456, Design of beams, columns etc. Design initiation, design commands, take off command Steel design as per IS-800 parameter specification Analysis of plane , truss, simple beam cantilever beam Analysis of plane frame, plane truss, multilevel plane frame etc. For details contact : Arun 9845382820 Location : Techsys,Basaveshwar nagar,near hotel pavitra paradise Bangalore - 79, India
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Hyderabad (Andhra Pradesh)
HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau  1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in
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