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Learn online R programming course and complete R certification course from experts at Rs. 6270/USD 110 with 24*7 support and Lifetime access. Build skills & knowledge and become a R certified professional. Source URL - https://intellipaat.in/r-programming-training/

Learn online R programming course and complete R certification course from experts at Rs. 6270/USD 110 with 24*7 support and Lifetime access. Build skills & knowledge and become a R certified professional. Source URL - https://intellipaat.com/r-programming-training/

2 Courses DOWNLOAD Size: 4.33 GB (2 PART DOWNLOAD) Duration: 15 Hours Course 01 Overview and Design Installation of BIG-IP LTM (VM only) Management Interface Setup Utility Server Load Balancing Monitoring and Viewing Stats Load Balancing Methods Health Monitors Persistence using Cookies and Source IP SSL Termination (Client-Side) Using iRules Using iApps Course 02: 01 - Welcome 02 - What's an ADC 03 - Preparing Your Lab Environment 04 - Deploy the BIG-IP Appliance 05 - License and Base Configuration 06 - 11.6 Startup Configuration 07 - Adding Web Servers to Your Lab 08 - LTM Nodes, Pools, and Members 09 - Creating a Virtual Server Object 10 - Static Load Balancing 11 - Dynamic Load Balancing 12 - Priority-based Pool Member Activation 13 - Destination NAT 14 - Profile Fundamentals 15 - Persistence Profiles 16 - SNAT with Auto Map 17 - OneConnect 18 - SSL Profiles 19 - iRules 20 - Client-side IPv6 21 - Wildcard IP Forwarding Virtual Server 22 - One-Armed Mode 23 - SNAT Pools 24 - HA Concepts 25 - HA Configuration 26 - HA ConfigSync 27 - iApps 28 - CLI Fundamentals 29 - QKView Files and iHealth 30 - Client-side Network Components 31 - Troubleshooting LTM 32 - Status Indicators 33 - F5 Support 34 - Stateful HA 35 - Virtual Server Order of Precedence 36 - S W Updates and Patches 37 - BIG-IP Modules 38 - TCPDUMP Packet Capture 39 - ACME Inc - Scenario 40 - Packet Filtering 41 - Management Tools.

Hi Friends, Class room Training on Weblogic 12c & SOA Admin @ RISE ‘N’ SHINE TECHNOLOGIES New Batch starts on February 26th at 5:00 pm Online Training on Weblogic 12c & SOA Admin @ RISE ‘N’ SHINE TECHNOLOGIES New Batch starts on February 27th at 7:00 am Welcome to Oracle Fusion Middleware Administrators School. We are Providing Level 1 & 2 (Essential & Advanced) Trainings on Oracle Fusion Middleware 11g Admin, OIAM Admin, Oracle SOA 11g Admin, Web Logic Admin (Classroom & online) Training By Mr.Venkat working in CMMI Level 5 Company with 8 years of Middleware Admin Experience. Successfully placed so many members as SOA Administrators and Weblogic Administrators in CMM Level 5 companies in last 3 Years. We are providing Real Time Lab facility with excellent infrastructure i.e. with the required tools for Administrators to get the Real Time exposure. Offered Courses: 1) Oracle Fusion Middleware 11g Admin 2) Oracle Weblogic 11g Essential and Advanced Admin 3) Oracle SOA 11g Admin (Weblogic + SOA) 4) Oracle OSB 11g Admin (Weblogic + OSB) 5) Oracle Web center 11g Admin (Weblogic + Web center) 6) Oracle Identity and Access Mgmt Admin 7) JBoss Administration 8) OBI 11g 9) Apache Tomcat Administration 10) SOA Development 11SCM build and release Special Feature: We are providing Real Time Lab facility with excellent infrastructure i.e. with the required tools for Administrators to get the Real Time exposure. Features: Job oriented real time Training. Exercise Real time project explanation & Practical Resume preparation & Work Assistance. Address: Rise 'n' Shine Technologies, Flat No 403, IV Floor, Koushik Sai Rama Residency, Srinivasa Nagar Colony East, Beside ICICI Bank lane, S.R.Nagar, Hyderabad 500038.

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Talend is one the most promising data integration tool which evolved in datawarehousing space from past 3-4 years. Talend Open Studio for Data Integration was launched in October 2006 and was the first commercial open source vendor of data integration software. We offer both online Talend training and Classroom Talend training in Bangalore mainly inclined with practical implementation and examples. This course include project with end-to-end ETL solutions along framework implementation. If u r interested plz visit the below link: http://hopwaves.com/online-talend-training-bangalore-marathahalli-btm/

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Oracle WebLogic Server 11g: Administration Duration: 25hours What you will learn This course trains Web administrators on techniques for installing and configuring Oracle WebLogic Server 11g. It alsotrains Web administrators to deploy Java EE applications to Oracle WebLogic Server 11g using Administration Consoleand command-line and scripting tools like WLST. Course Objectives: • Describe the architecture of WebLogic Server including domains, servers and machines • Install, configure and use WebLogic Server • Perform routine Oracle WebLogic Server administration functions • Set up a cluster of servers and distribute applications and resources to the cluster • Configure Oracle HTTP Server as the Web-tier front end for Oracle WebLogic Server instances and clusters • Deploy different types of Java EE applications to Oracle WebLogic Server • Deploy and manage large-scale Java EE applications to servers or clusters through the entire development andproduction lifecycle • Configure basic resource and application security • Backup and recover from various failures • Monitor application server using GUI and command-line tools such as automation scripts Thanks & Regards, SADGURU TECHNOLOGIES H. No: 7-1-621/10, Flat No: 102, Sai Manor Apartment, S.R. Nagar Main Road, Hyderabad-500038, Landmark: Beside Umesh Chandra Statue, Approach Road Parallel to Main Road Mob: 91-8179736190, Ph: 040-40154733

Oracle Business Intelligence Enterprise Edition@Sadguru technologies Oracle Business Intelligence Enterprise Edition 11g (OBIEE) is a comprehensive business intelligence platform that delivers a full range of analytic and reporting capabilities. For New Batch Contact Us: Mob: 08179736190 (OR) Mail: SDTECH.SOA@GMAIL.COM Address: SADGURU TECHNOLOGIES H. No: 7-1-621/10, Flat No: 102, Sai Manor Apartment, S.R. Nagar Main Road, Landmark: Beside Umesh Chandra Statue, Hyderabad-500038, Mob: 91-8179736190,Ph: 040-40154733.

mso-bidi-theme-font:minor-latin">Apache Spark has become one of the key cluster-computing frame works in the world. Spark can be deployed in numereous ways like in machine Learning, Streaming data and graphic processing. Spark supports programming languages like Python, Scala, Java, and R. Apache Hadoop mso-bidi-theme-font:minor-latin"> is an open-source framework written in Java that allows us to store and process Big Data in a distributed environment, across various clusters of computers using simple programming constructs. To do this, Hadoop uses an algorithm called  Map Reduce mso-bidi-theme-font:minor-latin">, which divides the task into small parts and assigns them to a set of computers. Hadoop also has its own file system,  Hadoop Distributed File System (HDFS),  which is based on  Google File System (GFS). HDFS is designed to run on low-cost hardware. Apache Spark mso-bidi-theme-font:minor-latin"> is an open-source distributed cluster-computing framework. Spark is a data processing engine developed to provide faster and easy-to-use analytics than  Hadoop Ma pReduce. mso-bidi-theme-font:minor-latin;color:#222222;mso-ansi-language:EN-GB">Apache Spark in the big data industry is because of its in-memory data processing that makes it high-speed data processing engine compare to Map Reduce. Apache Spark has huge potential to contribute to Big data related business in the industry.  Apache Spark is a Big data processing interface which provides not only programming interface in the data cluster but also adequate fault tolerance and data parallelism. This open-source platform is efficient in speedy processing of massive datasets. Calibri;mso-bidi-theme-font:minor-latin;color:#222222"> 115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Contact us: mso-bidi-theme-font:minor-latin">  http://www.monstercourses.com/ mso-bidi-theme-font:minor-latin">USA:  + 1 772 777 1557 line-height:115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin; color:red"> & +44 702 409 4077 line-height:115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Skype ID: MonsterCourses Calibri;mso-bidi-theme-font:minor-latin"> mso-bidi-theme-font:minor-latin"> 

​ 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…...

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

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...

mso-bidi-theme-font:minor-latin">Apache Spark has become one of the key cluster-computing frame works in the world. Spark can be deployed in numereous ways like in machine Learning, Streaming data and graphic processing. Spark supports programming languages like Python, Scala, Java, and R. Apache Hadoop mso-bidi-theme-font:minor-latin"> is an open-source framework written in Java that allows us to store and process Big Data in a distributed environment, across various clusters of computers using simple programming constructs. To do this, Hadoop uses an algorithm called  Map Reduce mso-bidi-theme-font:minor-latin">, which divides the task into small parts and assigns them to a set of computers. Hadoop also has its own file system,  Hadoop Distributed File System (HDFS),  which is based on  Google File System (GFS). HDFS is designed to run on low-cost hardware. 115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Contact us: mso-bidi-theme-font:minor-latin">  http://www.monstercourses.com/ mso-bidi-theme-font:minor-latin">USA:  + 1 772 777 1557 line-height:115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin; color:red"> & +44 702 409 4077 line-height:115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Skype ID: MonsterCourses Calibri;mso-bidi-theme-font:minor-latin"> mso-bidi-theme-font:minor-latin">