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" Join Hadoop Training in Chennai @ Kyros Technologies Big -Data and Hadoop Developer Course Outline: Big Data & Hadoop is an ideal training package for every aspiring professional who wants to make his/her career in Big Data Analytics using Hadoop Framework. The course equips participants to work on the Hadoop environment with ease and learn vital components such as Flume, Apache Oozie workflow scheduler and other advance concepts like Hadoop 2.0: Hbase, Zookeeper and Sqoop. Learn Hadoop Training in Chennai @ Kyros Technologies Who should attend this course? Analytics professionals, IT professionals, ETL developers, Project managers, testing novices and experts will find the course ideal. Any professional or a fresh graduate interested to enter the Big Data analytics field can also pursue this Course. Prerequisites : Fundamental programming skills are a minimum requirement while working knowledge of Java would be an added advantage. ALL ABOUT Hadoop @ Kyros Technologies 1. Training with the most experienced trainer working in Top MNC's 2. Course content is designed to match with most of the MNC Companies requirements 3. Flexible batch timings (for week days /weekend). 4. Low Cost and Quality Training Training Options: Class Room Online Corporate Crash Course Training Options: Class Room Online Corporate Crash Course For course contents and duration please visit our website. Contact Us: Kyros Technologies New No:28,old No.32,2nd Main Road, Kasturibai Nagar,Adyar ,Chennai – 600 020 Land Mark: Near Adyar Ambika Appalam Signal / Above Central Bank of India / Near Kasturibai Nagar Railway Station/ opp To Nilgris ,KFC Mail Id: info@kyrostechnologies.com Website: www.kyrostechnologies.com, www.kyrostechnologies.in Phone: 044 65152555 Mobile: 9600116576 Join Hadoop Big Data Training in Chennai By Kyros and Get Placed Posted by Kyros. http://www.kyrostechnologies.in/big-data-and-hadoop-developer-training/ "

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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 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class

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,

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

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...

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

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 ..........

HADOOP TRAINING INSTITUTE IN CHENNAI ADYAR WITH PLACEMENT... Peridot systems is one of the best training institute in Chennai providing more numbers of software and hardware training courses by real time experienced professionals...For more details you need about the course syllabus please contact papitha (8056102481)... “PERIDOT SYSTEMS IS POWER OF VICTORY” Our Official Website: www.peridotsystems.in PERIDOT SUPPORTS:  We provide real time training  We provide online, classroom and corporate training classes  We offer both weekdays and weekend batches  We provide 2 days demo classes HADOOP SYLLABUS: • Introduction to Distributed systems • Introduction to Big Data • Introduction to Hadoop • The Hadoop Distributed File System (HDFS) • Map/Reduce Programming – Java For more details information about the course details please contact us, Contact Numbers: 8056102481/9600063484 , 044-42115526 (papitha) Mail to: Papitha.v@peridotsystems.in Website: www.peridotsystems.in TAGS: Hadoop Training Institute in Chennai with Placement |Best Hadoop training in Chennai adyar.

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​ 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.,

​ 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.,

​ 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 Chennai is the best training institute for hadoop.Learn Hadoop from beginning to advanced techniques taught by experienced professionals. Big Data hadoop in chennai will be very useful for you to learn more about Hadoop .With our Hadoop course in chennai you will learn concept in practical manner. Big Data Hadoop opening in chennai http://www.peridotsystems.in/hadoop-training-in-chennai.php What is hadoop? Hadoop is java based programming framework which will support the processing of large data set in computing environment.It’s a part of Apache project with sponsored by Apache software foundation. Why big band training in Chennai at thinkIT? More Practical knowledge Course taught by hadoop professionals Provide Hadoop tutorial pdf Provide Hadoop Video tutorial Benefits of hadoop Course in chennai? Our training syllabus will enclose all the industry need training.A brief tutorial offer you a introduction to Big Data ,Mapreduce algorithm, and Hadoop Distributed file system. We will be providing Hadoop Video tutorial and hadoop tutorial pdf. It’s a best way to learn Hadoop.We will guide you to get Big data Hadoop jobs in chennai and it makes you to develop your careers skills. Huge Hadoop opening in chennai and get offers by our experts. Our Hadoop course in chennai will be more useful to get placements. For further details about Hadoop Training in chennai please contact us 8056102481 and for more details visit our website

Hadoop Training in chennai is offered in our institute, the training that we offer will be from the basics to most advanced level. Trainers in our institute are having more than 8 years of working experience in respective domains, we offer this Hadoop course in Chennai with affordable fee structure. Hadoop is one of the open source framework which allows to process and store all the big data over an distributed environment with an cluster of computers by using the simple programming language models. It is also designed to scale up all the data from the single server to numerous machines, offering all the local storage and computation. We offer Hadoop Tutorial those are prepared by our experienced professionals aspiring to learn all the fundamentals of Big data with the aid of Hadoop Framework that helps in becoming a Hadoop Developer. Analytics professionals, Software professionals are the main Key benefits of this Hadoop Course. Prerequisites for learning this Hadoop is Knowledge in Basics of Java, Linux Operating systems and Database concepts. Big Data Means offering really a Big Data, it is also a collection of a wide range of Database that are not able to be processed with the help of Traditional computing devices, these Big data are not merely data, rather these are a complete subject of things that includes, Techniques, tools and the related framework. We, offer this Hadoop Training in chennai from Industry experts, large number of benefits are offered to each and every students, Practical based training, one year technical support and much more . For more details Regarding this Hadoop course please visit:http://peridotsystems.in/hadoop-training-in-chennai.php

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

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….

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

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

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

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

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.,,..

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

FINAL YEAR PROJECTS IN IEEE, EMBEEDED, VLSI, BIG DATA, HADOOP, IMAGE PROCESSING AND WEB APPLICATION & WINDOWS APPLICATION|COIMBATORE We offer the latest IEEE projects for research and final year academic projects. We provide all kinds of services like academic final year projects for all BE, BTECH & other UG graduates. We offer the research projects for ME, M.Tech & PhD staffs. Our Services include various technologies JAVA, Cloud Computing, Dotnet, PHP, Android Mobile applications, Web application development, Embedded Systems, Matlab Power electronics & power systems. Matlab Image processing, Network Simulator and much more. Apart from project development, we offer the students adequate training facilities on the technologies related to the project. Students Benefits doing project at Cegonsoft Real time project development Full practical training Hardware and software tools full support Technology Training Placement Training Personality Development Full documentation and report analysis Industrial exposure Endorsing Corporate skills Technology specializations & Certification The training facilities includes individual desktop, software’s support ,Hardware support , learning materials, Report preparation, Documentation, full time technical support, project display for better Presentation . Students are trained with experienced trainers. We offer practical training before every project review. We help students choose best title for your project. Training is carefully designed with viva questions for better project presentation for students. We support student’s own project development ideas. Our infrastructure facilitates best atmosphere for student in learning & Development student’s work along with our staff as a project trainee and are given training at corporate level. Apart from projects, we guide them for placement preparation with aptitude, group discussion and technical skills. We proud to say, our projects all are based upon latest technology IEEE papers. We advised students to make this golden opportunity as a useful one for their fruitful career ahead. Technologies ANDROID, ASP .NET,VB .NET,C# .NET,EMB – C,BIG DATA,HADOOP,PHP,MATLAB,SQL SERVER, ORACLE, Open CV JAVA IEEE- DOMAINS IEEE- CLOUD COMPUTING IEEE- DATA MINING IEEE- TRANSACTIONS ON NETWORKING IEEE- NETWORK SECURITY IEEE- DEPENDABLE AND SECURED COMPUTING IEEE- NETWORKING COMMUNICATION IEEE- PARALLEL AND DISTRIBUTED SYSTEM IEEE- MOBILE COMPUTING IEEE- WIRELESS COMMUNICATION IEEE TRANSACTIONS ON DEPENDABLE AND SECURED COMPUTING PROJECTS IEEE TRANSACTIONS ON NETWORKING COMMUNICATION PROJECTS IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEM PROJECTS IEEE TRANSACTIONS ON MOBILE COMPUTING PROJECTS IEEE TRANSACTIONS ON WIRELESS COMMUNICATION PROJECTS IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING PROJECTS WINDOWS APPLICATION PROJECTS NETWORKING APPLICATION PROJECTS DOTNET IEEE-TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING IEEE- TRANSACTIONS ON NETWORKING IEEE-TRANSACTIONS ON DEFENDABLE AND SECURED COMPUTING IEEE- TRANSACTIONS ON CLOUD COMPUTING IEEE- TRANSACTIONS ON NETWORK SECURITY WEB APPLICATION IN DIFFERENT TECHNOLOGIES J2EE WITH ADVANCED CONCEPTS ASP.NET PHP/MYSQL WITH AJAX WE PROVIDE THE PROJECTS FOR THE STUDENTS STUDYING THE FOLLOWING DEGREE DIPLOMA (ECE, E&I, EEE, MECHANICAL, CSE, IT, ) B.E, B.TECH, M.TECH, M.E, DIPLOMA, MS, BSC, MSC, BCA, MCA, MBA, BBA, PHD. B.E (ECE, EEE, E&I, ICE, MECH, PROD, CSE, IT, THERMAL, AUTOMOBILE, MECATRONICS, ROBOTICS) B.TECH(ECE, E&I, EEE, MECH , CSE, IT) M.TECH(EMBEDDED SYSTEMS, COMMUNICATION SYSTEMS, COMPUTER SCIENCE, SOFTWARE ENGINEERING)M.E(COMMUNICATION SYSTEMS, COMPUTER SCIENCE, SOFTWAREENGINEERING) Thanks & Regards For Further Detail Contact CEGONSOFT PVT LTD #108, Nehru Street, Near Senthilkumaran Theatre, Ramangar, Coimbatore-641 009 Mob No: +91- 8523900459 Tel: 0422 -4206205 Website: http://www.cegonsoft.co.in/ MAIL ME ON: divya.r@cegonsoft.in

FINAL YEAR PROJECTS IN IEEE, EMBEEDED, VLSI, BIG DATA, HADOOP, IMAGE PROCESSING AND WEB APPLICATION & WINDOWS APPLICATION|COIMBATORE We offer the latest IEEE projects for research and final year academic projects. We provide all kinds of services like academic final year projects for all BE, BTECH & other UG graduates. We offer the research projects for ME, M.Tech & PhD staffs. Our Services include various technologies JAVA, Cloud Computing, Dotnet, PHP, Android Mobile applications, Web application development, Embedded Systems, Matlab Power electronics & power systems. Matlab Image processing, Network Simulator and much more. Apart from project development, we offer the students adequate training facilities on the technologies related to the project. Students Benefits doing project at Cegonsoft Real time project development Full practical training Hardware and software tools full support Technology Training Placement Training Personality Development Full documentation and report analysis Industrial exposure Endorsing Corporate skills Technology specializations & Certification Students are trained with experienced trainers. We offer practical training before every project review. We help students choose best title for your project. Training is carefully designed with viva questions for better project presentation for students. We support student’s own project development ideas. Our infrastructure facilitates best atmosphere for student in learning & Development student’s work along with our staff as a project trainee and are given training at corporate level. Apart from projects, we guide them for placement preparation with aptitude, group discussion and technical skills. We proud to say, our projects all are based upon latest technology IEEE papers. We advised students to make this golden opportunity as a useful one for their fruitful career ahead. Technologies ANDROID, ASP .NET,VB .NET,C# .NET,EMB – C,BIG DATA,HADOOP,PHP,MATLAB,SQL SERVER, ORACLE, Open CV JAVA IEEE- DOMAINS IEEE- CLOUD COMPUTING IEEE- DATA MINING IEEE- TRANSACTIONS ON NETWORKING IEEE- NETWORK SECURITY IEEE- DEPENDABLE AND SECURED COMPUTING IEEE- NETWORKING COMMUNICATION IEEE- PARALLEL AND DISTRIBUTED SYSTEM IEEE- MOBILE COMPUTING IEEE- WIRELESS COMMUNICATION IEEE TRANSACTIONS ON DEPENDABLE AND SECURED COMPUTING PROJECTS IEEE TRANSACTIONS ON NETWORKING COMMUNICATION PROJECTS IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEM PROJECTS IEEE TRANSACTIONS ON MOBILE COMPUTING PROJECTS IEEE TRANSACTIONS ON WIRELESS COMMUNICATION PROJECTS IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING PROJECTS WINDOWS APPLICATION PROJECTS NETWORKING APPLICATION PROJECTS DOTNET IEEE-TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING IEEE- TRANSACTIONS ON NETWORKING IEEE-TRANSACTIONS ON DEFENDABLE AND SECURED COMPUTING IEEE- TRANSACTIONS ON CLOUD COMPUTING IEEE- TRANSACTIONS ON NETWORK SECURITY WEB APPLICATION IN DIFFERENT TECHNOLOGIES J2EE WITH ADVANCED CONCEPTS ASP.NET PHP/MYSQL WITH AJAX WE PROVIDE THE PROJECTS FOR THE STUDENTS STUDYING THE FOLLOWING DEGREE DIPLOMA (ECE, E&I, EEE, MECHANICAL, CSE, IT, ) B.E, B.TECH, M.TECH, M.E, DIPLOMA, MS, BSC, MSC, BCA, MCA, MBA, BBA, PHD. B.E (ECE, EEE, E&I, ICE, MECH, PROD, CSE, IT, THERMAL, AUTOMOBILE, MECATRONICS, ROBOTICS) B.TECH(ECE, E&I, EEE, MECH , CSE, IT) M.TECH(EMBEDDED SYSTEMS, COMMUNICATION SYSTEMS, COMPUTER SCIENCE, SOFTWARE ENGINEERING)M.E(COMMUNICATION SYSTEMS, COMPUTER SCIENCE, SOFTWAREENGINEERING) Thanks & Regards For Further Detail Contact CEGONSOFT PVT LTD #108, Nehru Street, Near Senthilkumaran Theatre, Ramangar, Coimbatore-641 009 Mob No: +91- 8523900459 Tel: 0422 -4206205 Website: http://www.cegonsoft.co.in/ MAIL ME ON: divya.r@cegonsoft.in

We offer the latest IEEE projects for research and final year academic projects. We provide all kinds of services like academic final year projects for all BE, BTECH & other UG graduates. We offer the research projects for ME, M.Tech & PhD staffs. Our Services include various technologies JAVA, Cloud Computing, Dotnet, PHP, Android Mobile applications, Web application development, Embedded Systems, Matlab Power electronics & power systems. Matlab Image processing, Network Simulator and much more. Apart from project development, we offer the students adequate training facilities on the technologies related to the project. Students Benefits doing project at Cegonsoft  Real time project development  Full practical training  Hardware and software tools full support  Technology Training  Placement Training  Personality Development  Full documentation and report analysis  Industrial exposure  Endorsing Corporate skills  Technology specializations & Certification The training facilities includes individual desktop, software’s support ,Hardware support , learning materials, Report preparation, Documentation, full time technical support, project display for better presentation . Students are trained with experienced trainers. We offer practical training before every project review. We help students choose best title for your project. Training is carefully designed with viva questions for better project presentation for students. We support student’s own project development ideas. Our infrastructure facilitates best atmosphere for student in learning & Development student’s work along with our staff as a project trainee and are given training at corporate level. Apart from projects, we guide them for placement preparation with aptitude, group discussion and technical skills. We proud to say, our projects all are based upon latest technology IEEE papers. We advised students to make this golden opportunity as a useful one for their fruitful career ahead. Technologies ANDROID, ASP .NET,VB .NET,C# .NET,EMB – C,BIG DATA,HADOOP,PHP,MATLAB,SQL SERVER, ORACLE, Open CV JAVA IEEE- DOMAINS IEEE- CLOUD COMPUTING IEEE- DATA MINING IEEE- TRANSACTIONS ON NETWORKING IEEE- NETWORK SECURITY IEEE- DEPENDABLE AND SECURED COMPUTING IEEE- NETWORKING COMMUNICATION IEEE- PARALLEL AND DISTRIBUTED SYSTEM IEEE- MOBILE COMPUTING IEEE- WIRELESS COMMUNICATION IEEE TRANSACTIONS ON DEPENDABLE AND SECURED COMPUTING PROJECTS IEEE TRANSACTIONS ON NETWORKING COMMUNICATION PROJECTS IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEM PROJECTS IEEE TRANSACTIONS ON MOBILE COMPUTING PROJECTS IEEE TRANSACTIONS ON WIRELESS COMMUNICATION PROJECTS IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING PROJECTS WINDOWS APPLICATION PROJECTS NETWORKING APPLICATION PROJECTS DOTNET IEEE-TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING IEEE- TRANSACTIONS ON NETWORKING IEEE-TRANSACTIONS ON DEFENDABLE AND SECURED COMPUTING IEEE- TRANSACTIONS ON CLOUD COMPUTING IEEE- TRANSACTIONS ON NETWORK SECURITY WEB APPLICATION IN DIFFERENT TECHNOLOGIES J2EE WITH ADVANCED CONCEPTS ASP.NET PHP/MYSQL WITH AJAX WE PROVIDE THE PROJECTS FOR THE STUDENTS STUDYING THE FOLLOWING DEGREE DIPLOMA (ECE, E&I, EEE, MECHANICAL, CSE, IT, ) B.E, B.TECH, M.TECH, M.E, DIPLOMA, MS, BSC, MSC, BCA, MCA, MBA, BBA, PHD. B.E (ECE, EEE, E&I, ICE, MECH, PROD, CSE, IT, THERMAL, AUTOMOBILE, MECATRONICS, ROBOTICS) B.TECH(ECE, E&I, EEE, MECH , CSE, IT) M.TECH(EMBEDDED SYSTEMS, COMMUNICATION SYSTEMS, COMPUTER SCIENCE, SOFTWARE ENGINEERING)M.E(COMMUNICATION SYSTEMS, COMPUTER SCIENCE, SOFTWAREENGINEERING) Thanks & Regards CEGONSOFT PVT LTD For Further Detail Contact CEGONSOFT PVT LTD #108, Nehru Street, Near Senthilkumaran Theatre, Ramangar, Coimbatore-641 009 Mob No: +91- 8681968889 MAIL ME ON: shunmathi.s@cegonsoft.co.in