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Noida (Uttar Pradesh)
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India (All cities)
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Gurgaon (Haryana)
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Chennai (Tamil Nadu)
WHAT IS SAS? SAS (Statistical Analysis System) BASE is developed for business intelligence. It is integrated software for access data, manage data and generating reports. It SAS BASE training in Peridot systems gives in depth knowledge on subject. In this program we teach you the basics of data warehousing before starting SAS BASE class. In this training we cover syllabus in modules of SAS, accessing data, creating data. Course Structure BASICS BEFORE STARTING SAS: • DATAWAREHOSING Concepts. • What is ETL? SAS INTRODUCTION: • What is SAS? • History of SAS. • Modules available SAS. • Create temporary and permanent SAS data set. • Combining SAS Data Set. • Understanding How Data Sets Are Read. MANAGING DATA • Investigate SAS data libraries using base SAS utility procedure • Sort observations in a SAS data set. • Conditionally execute SAS statement. • Use assignment statement in the DATA step. GENERATING REPORT • Generate list report using the PRINT procedure. • Generate summary reports and frequency tables using base. HANDLING ERRORS • Identify logic errors. • Recognize correct syntax errors. • Examine data errors. Venue: Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Mobile : 8056102481/96000-63484 Mail: papitha.v@peridotsystems.in
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India (All cities)
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India
Ibm datapower online training in hyderabad india bangalore pune
Course Contents
DAY 1
Introduction to IBM WebSphere DataPower SOA Appliances
DAY 2
DataPower services
Exercise: Creating a simple XML firewall
XML firewall service
Exercise: Content-based routing using XML firewalls
Multi-Protocol Gateway service
Exercise: Configuring a Multi-Protocol Gateway service
Web service proxy service
Exercise: Configuring a Web Service Proxy service
Service level monitoring
Web application firewall service
Exercise: Creating a Web Application firewall service
DAY 3
Introduction to XSL & XML
Exercise: Creating an XSLT Stylesheet
DAY 4
DataPower cryptographic tools
Exercise: Creating cryptographic objects
Securing connections using SSL
Exercise: Configuring SSL on DataPower services
XML threat protection
Exercise: Protecting against XML threats
XML and Web services security overview
Exercise: Web service encryption and digital signatures
Authentication, authorization, and auditing
Exercise: Web service authentication and authorization
Configuring LDAP using AAA
Exercise: Creating an AAA policy using LDAP
DAY 5
DataPower SOA Appliance administration
Exercise: Exercise setup
Problem determination tools and error handling
Exercise: Debugging errors using the troubleshooting tools and managing errors using error handlers
Monitoring objects
Exercise: Creating, configuring, and managing monitors
.............................................
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Coimbatore (Tamil Nadu)
Dear IT Students, Cegonsoft, Coimbatore/Bangalore - Pioneers in software training programs, which has quality training and infrastructure up to the mark of the IT industry requirements. The technologies are picked after a thorough research and analysis based upon the existing and prospective IT industry in mind and Training Cum Placement Assurance and Assistance. SOFTWARE TESTING Testing is a process of identifying defects where a defect is any variance between actual and expected results. Find errors and ensure that all the functionalities are implemented and working as per user requirement. Benefits of SOFTWARE TESTING in Cegonsoft • Not much programming codes • Easy to Learn • More practical classes • Evergreen Placements • Global placements with Attractive salary packages • Placements in both IT and Production Companies. • Any graduates can learn SOFTWARE TESTING Cegonsoft provides you the distinction is to a large extent, subjective. Here are a few characteristics often noted as descriptive of SOFTWARE TESTING: • Latest Versions of Automated tools are handled here • Selenium IDE, RC, Web driver and Selenium Grid • Winrunner,Load Runner Latest Version • Quality Center with Detailed Notes • Manual Testing Experience with Real Time project • Focus is laid upon the advanced concepts of QTP • ISTQB (International Software Testing Qualifications Board) certified trainers • Real time Projects using Automation Tools • Exhilarating placements immediately after training • Crash Course (10 days/15 days) • Assistance in ISTQB Certification • Enthusiastic and energetic Software development team to absorb you based on your performance • Pleasing infrastructure and comforting ambience • Classes at your convenience PLACEMENTS: Cegonsoft has made an extensive research to learn the expectations of IT industry and our syllabuses are framed with that on grounds so as to make the entry or re-entry of any candidate a cakewalk. IT industry is vast, but the psychology is simple. In order to make the HR consultancy more effective, Cegonsoft has a Placement Cell in all its offices. Every Placement Cell constitutes a team of sensible and prudent team of HR specialists headed by an expert Placement Co-ordinator. Why Cegonsoft? CEGONSOFT PVT LTD, Coimbatore has quality training and infrastructure up to the mark of the IT industry requirements. Cegonsoft is a way proud to mention that the Job oriented IT Training is inclusive of platforms that have wider scope in the prevailing and forthcoming IT Job Market. These platforms are picked after a thorough research and analysis based upon the existing and prospective IT industry in mind and Training Cum Placement Assurance. 12 Years of Expertise in Training & Placement Quality Training with Good Infrastructure Placement Assistance & Assurance for Job seekers Industry based Syllabus (IT companies) Experienced Technical Faculty/Trainers Shunmathi.S Cegonsoft Pvt.Ltd, #108, Nehru Street, Near Senthilkumaran Theatre, Ramnagar, Coimbatore-641 009 Tele: 0422-4206205 Mob: 8681968889 www.cegonsoft.co.in Dear IT Students, Cegonsoft, Coimbatore/Bangalore - Pioneers in software training programs, which has quality training and infrastructure up to the mark of the IT industry requirements. The technologies are picked after a thorough research and analysis based upon the existing and prospective IT industry in mind and Training Cum Placement Assurance and Assistance. SOFTWARE TESTING Testing is a process of identifying defects where a defect is any variance between actual and expected results. Find errors and ensure that all the functionalities are implemented and working as per user requirement. Benefits of SOFTWARE TESTING in Cegonsoft • Not much programming codes • Easy to Learn • More practical classes • Evergreen Placements • Global placements with Attractive salary packages • Placements in both IT and Production Companies. • Any graduates can learn SOFTWARE TESTING Cegonsoft provides you the distinction is to a large extent, subjective. Here are a few characteristics often noted as descriptive of SOFTWARE TESTING: • Latest Versions of Automated tools are handled here • Selenium IDE, RC, Web driver and Selenium Grid • Winrunner,Load Runner Latest Version • Quality Center with Detailed Notes • Manual Testing Experience with Real Time project • Focus is laid upon the advanced concepts of QTP • ISTQB (International Software Testing Qualifications Board) certified trainers • Real time Projects using Automation Tools • Exhilarating placements immediately after training • Crash Course (10 days/15 days) • Assistance in ISTQB Certification • Enthusiastic and energetic Software development team to absorb you based on your performance • Pleasing infrastructure and comforting ambience • Classes at your convenience PLACEMENTS: Cegonsoft has made an extensive research to learn the expectations of IT industry and our syllabuses are framed with that on grounds so as to make the entry or re-entry of any candidate a cakewalk. IT industry is vast, but the psychology is simple. In order to make the HR consultancy more effective, Cegonsoft has a Placement Cell in all its offices. Every Placement Cell constitutes a team of sensible and prudent team of HR specialists headed by an expert Placement Co-ordinator. Why Cegonsoft? CEGONSOFT PVT LTD, Coimbatore has quality training and infrastructure up to the mark of the IT industry requirements. Cegonsoft is a way proud to mention that the Job oriented IT Training is inclusive of platforms that have wider scope in the prevailing and forthcoming IT Job Market. These platforms are picked after a thorough research and analysis based upon the existing and prospective IT industry in mind and Training Cum Placement Assurance. 12 Years of Expertise in Training & Placement Quality Training with Good Infrastructure Placement Assistance & Assurance for Job seekers Industry based Syllabus (IT companies) Experienced Technical Faculty/Trainers Shunmathi.S Cegonsoft Pvt.Ltd, #108, Nehru Street, Near Senthilkumaran Theatre, Ramnagar, Coimbatore-641 009 Tele: 0422-4206205 Mob: 8681968889 www.cegonsoft.co.in
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Coimbatore (Tamil Nadu)
Dear IT Students, Cegonsoft, Coimbatore/Bangalore - Pioneers in software training programs, which has quality training and infrastructure up to the mark of the IT industry requirements. The technologies are picked after a thorough research and analysis based upon the existing and prospective IT industry in mind and Training Cum Placement Assurance and Assistance. SOFTWARE TESTING Testing is a process of identifying defects where a defect is any variance between actual and expected results. Find errors and ensure that all the functionalities are implemented and working as per user requirement. Benefits of SOFTWARE TESTING in Cegonsoft • Not much programming codes • Easy to Learn • More practical classes • Evergreen Placements • Global placements with Attractive salary packages • Placements in both IT and Production Companies. • Any graduates can learn SOFTWARE TESTING Cegonsoft provides you the distinction is to a large extent, subjective. Here are a few characteristics often noted as descriptive of SOFTWARE TESTING: • Latest Versions of Automated tools are handled here • Selenium IDE, RC, Web driver and Selenium Grid • Winrunner,Load Runner Latest Version • Quality Center with Detailed Notes • Manual Testing Experience with Real Time project • Focus is laid upon the advanced concepts of QTP • ISTQB (International Software Testing Qualifications Board) certified trainers • Real time Projects using Automation Tools • Exhilarating placements immediately after training • Crash Course (10 days/15 days) • Assistance in ISTQB Certification • Enthusiastic and energetic Software development team to absorb you based on your performance • Pleasing infrastructure and comforting ambience • Classes at your convenience PLACEMENTS: Cegonsoft has made an extensive research to learn the expectations of IT industry and our syllabuses are framed with that on grounds so as to make the entry or re-entry of any candidate a cakewalk. IT industry is vast, but the psychology is simple. In order to make the HR consultancy more effective, Cegonsoft has a Placement Cell in all its offices. Every Placement Cell constitutes a team of sensible and prudent team of HR specialists headed by an expert Placement Co-ordinator. Why Cegonsoft? CEGONSOFT PVT LTD, Coimbatore has quality training and infrastructure up to the mark of the IT industry requirements. Cegonsoft is a way proud to mention that the Job oriented IT Training is inclusive of platforms that have wider scope in the prevailing and forthcoming IT Job Market. These platforms are picked after a thorough research and analysis based upon the existing and prospective IT industry in mind and Training Cum Placement Assurance. 12 Years of Expertise in Training & Placement Quality Training with Good Infrastructure Placement Assistance & Assurance for Job seekers Industry based Syllabus (IT companies) Experienced Technical Faculty/Trainers Shunmathi.S Cegonsoft Pvt.Ltd, #108, Nehru Street, Near Senthil kumaran Theatre, Ramnagar, Coimbatore-641 009 Tele: 0422-4206205 Mob: 8681968889 www.cegonsoft.co.in Dear IT Students, Cegonsoft, Coimbatore/Bangalore - Pioneers in software training programs, which has quality training and infrastructure up to the mark of the IT industry requirements. The technologies are picked after a thorough research and analysis based upon the existing and prospective IT industry in mind and Training Cum Placement Assurance and Assistance. SOFTWARE TESTING Testing is a process of identifying defects where a defect is any variance between actual and expected results. Find errors and ensure that all the functionalities are implemented and working as per user requirement. Benefits of SOFTWARE TESTING in Cegonsoft • Not much programming codes • Easy to Learn • More practical classes • Evergreen Placements • Global placements with Attractive salary packages • Placements in both IT and Production Companies. • Any graduates can learn SOFTWARE TESTING Cegonsoft provides you the distinction is to a large extent, subjective. Here are a few characteristics often noted as descriptive of SOFTWARE TESTING: • Latest Versions of Automated tools are handled here • Selenium IDE, RC, Web driver and Selenium Grid • Winrunner,Load Runner Latest Version • Quality Center with Detailed Notes • Manual Testing Experience with Real Time project • Focus is laid upon the advanced concepts of QTP • ISTQB (International Software Testing Qualifications Board) certified trainers • Real time Projects using Automation Tools • Exhilarating placements immediately after training • Crash Course (10 days/15 days) • Assistance in ISTQB Certification • Enthusiastic and energetic Software development team to absorb you based on your performance • Pleasing infrastructure and comforting ambience • Classes at your convenience PLACEMENTS: Cegonsoft has made an extensive research to learn the expectations of IT industry and our syllabuses are framed with that on grounds so as to make the entry or re-entry of any candidate a cakewalk. IT industry is vast, but the psychology is simple. In order to make the HR consultancy more effective, Cegonsoft has a Placement Cell in all its offices. Every Placement Cell constitutes a team of sensible and prudent team of HR specialists headed by an expert Placement Co-ordinator. Why Cegonsoft? CEGONSOFT PVT LTD, Coimbatore has quality training and infrastructure up to the mark of the IT industry requirements. Cegonsoft is a way proud to mention that the Job oriented IT Training is inclusive of platforms that have wider scope in the prevailing and forthcoming IT Job Market. These platforms are picked after a thorough research and analysis based upon the existing and prospective IT industry in mind and Training Cum Placement Assurance. 12 Years of Expertise in Training & Placement Quality Training with Good Infrastructure Placement Assistance & Assurance for Job seekers Industry based Syllabus (IT companies) Experienced Technical Faculty/Trainers Shunmathi.S Cegonsoft Pvt.Ltd, #108, Nehru Street, Near Senthil kumaran Theatre, Ramnagar, Coimbatore-641 009 Tele: 0422-4206205 Mob: 8681968889 www.cegonsoft.co.in
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Noida (Uttar Pradesh)
Python training institute in noida Python training of Inovi Technologies is designed to help you master this highly popular programming language easily. Python is a simple interpreter based, top-level object-oriented general programming language and can be used to easily design and build applications and prototypes. Python is used primarily for web development applications today and has gained the base in the form of a replacement or Java. With a large reusable components and nuggets and every growing library, Python is continuously getting the base as a simple and easy to work with web programming language. The best python training institute in Noida has been carefully prepared to make the curriculum content tailored to the needs of the industry. The topics covered in Python training include the latest and best real-time examples, whose purpose is to help students get the right job after completing the training. Our expert trainers will highlight key topics from Python training on the basis of those questions, which the interviewer can be asked during the job selection process; It provides confidence to students while facing the job interview. https://www.inovitechnologies.com/python_training_institute_in_noida/ Course Content: An Introduction to Python 1.Introductory Remarks about Python 2.A Brief History of Python 3.How python is differ from other languages 4.Python Versions 5.Installing Python 6.IDLE 7.Getting Help 8.How to execute Python program 9.Writing your first program Python Basics 1.Python keywords and Identifiers 2.Python statements 3.Python indentation 4.Comments in python 5.command line arguments 6.Getting user input 7.Exercise Variables and data types 1.Introduction 2.Variables 3.Data types 4.Numbers 5.Strings 6.Lists, tuples & Dictionary 7.Exercise Decision making & Loops 1.Introduction 2.Control Flow and Syntax 3.The if Statement 4.Python Operators 5.The while Loop 6.break and continue 7.The for Loop 8.Pass statement Functions,Modules,Packages and- Exception Functions 1.Introduction 2.Calling a function 3.Function arguments 4.Built in functions 5.Scope of variables 6.Decorators 7.Passing Functions to a Function 8.Lambda 9.Closures Modules and Packages 1.Modules 2.Importing module 3.Standard Module - sys 4.Standard Module - OS 5.The dir Function 6.Packages Exception Handling 1.Errors 2.Run Time Errors 3.Handling IO Exceptions 4.Try.... except statement 5.Raise 6.Assert Files,Classes,Regular Expressions and- Socket programming Files and Directories 1.Introduction 2.Writing Data to a File 3.Reading Data From a File 4.Additional File Methods 5.Working with files 6.Working with Directories 7.The pickle Module Classes Objects 1.Introduction classes and objects 2.Creating Classes 3.Instance Methods 4.Special class method 5.Inheritance 6.Method overriding 7.Data hiding Regular Expressions 1.Introduction 2.Match function 3.Search function 4.Grouping 5.Matching at Beginning or End 6.Match Objects 7.Flags Socket programming 1.What are sockets? 2.Creating sockets 3.Server-client socket methods 4.Connecting client server 5.Client-server chatting program Our Courses: Java Mean Stack Artificial Intelligence Hadoop Devops Python RPA Machine learning Salesforce Linux And Red Hat Data Scientist Web Designing Contact: Email:-info@inovitechnologies.com Address: F-7, Sec-3 Noida UP 201301 Mobile No: 9354482334 ,8810643463 Phone No: +91-120-4213880
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Mumbai (Maharashtra)
How to Avoid Typical Mistakes while Organizing Your Dissertation Bibliography Numerous students commit errors when writing bibliography for their dissertation. Some don't try taking in the formats, though others discover it truly hard to comprehend them. Hitting the nail on the head the first run through is intense, however not impossible. Here are some helpful rules on the best way to compose a dissertation bibliography without committing the most widely recognized errors. (BBG29820) Make a List with All the Sources Cited It is imperative to have a complete list of sources for your dissertation with a specific end goal to maintain a plagiarism free. Adhere to a Format Wring a bibliography for a dissertation should be possible in a few distinctive ways. This generally relies on upon the topic of your paper. More often than not, educators give their students with guidance Check for Updates When Citing Sources Designing styles for writing dissertation and bibliographies abide by a set of strict controls. Notwithstanding, in time dissertation rules can change. It is imperative to check for upgrades frequently keeping in mind the end goal to make certain that you're organizing your dissertation bibliographies effectively. Alphabetize Your Sources While including bibliographies for a paper, the student is required to arrange alphabetically the sources utilized. Contact Us- 450, Mastermind 1, Royal Palms, Aarey Colony, Mumbai, Maharashtra - 65 Call/ WhatsApp: +919137256150
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India (All cities)
Regardless of whether you are confronting issues identified with your QuickBooks software or managing errors, you can reach out to us in this Covid time. We have the group of specialists and star counsels who are consistently prepared to help you. Ordinarily individuals are confronting errors that reason system accidents or some other issue that become a snag in the functioning interaction. Around then, we offer a consistent arrangement in this. Dial our all Quickbooks Support Phone Number +1(877) 207-5101 and get the best service. In case you are looking for the privilege Quickbooks Support Phone Number +1(877) 207-5101 to fix your QB issues.
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India (All cities)
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India (All cities)
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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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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
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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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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 ..........
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India
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.,
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