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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

About Hadoop: It is an java based programming language, Which is specifically designed in processing of large set of data base over a distributed range of systems. It is a part of apache project sponsored by Apache software foundation. Concepts with Hadoop: Admin Developer Architect These are the concepts included with hadoop technology and my faculties are capable in handling all the concepts mentioned above. All my faculties are working professionals and holding lot of years working with hadoop and java also they are all certified professionals. Our training will offers you the full technical knowledge with the support of our excellent lab infrastructure. After completing the course if you want to appear for the certification exam means we can provide you the training and assistance to get appear for the certification. For details contact 9566183028 or www.peridotsystems.in cone and attend a free demo to check with my faculty

JavaTportal is a specialized java online consulting institute in India. We are one of the greatest hadoop online tutorial in Delhi and we are also working as an java consultant in India. JavaTportal of Integrated Learning is an innovative educational Group in India. The javatportal of Integrated Learning has consistently displayed full awareness of its social responsibilities.

HADOOP DEVELOPER TRAINING IN CHENNAI, PERIDOT SYSTEMS, 100%JOB Peridot systems provide both offline and online mode of training. To join please contact ruban(9952010141).We will provide you free demo classes. Trainers are MNC working professionals. We will give you 100% job assurance Pre-requisites: To learn hadoop developer, core java and good analytical skills are needed. We provide a complimentary Course “Java Essentials for Hadoop” to all learners to brush up java skills needed to write Map reduce Programs. Target learners: If you are interested in Architecture & Fundamentals, Map reduces Programming and real time Analytics then you can be a Hadoop developer. Content: Introduction Hadoop Motivation Basic concepts and HDFS Map Reduce Hadoop cluster and ecosystems Writing a Map Reduce Program using Java Writing a Map Reduce Program Using Streaming Unit Testing Map Reduce Programs Unit Testing Map Reduce Programs Practical Development Tips and Techniques Practical Development Tips and Techniques Practical Development Tips and Techniques Common Map Reduce Algorithms Joining Data Sets in Map Reduce Jobs Integrating Hadoop into the Enterprise Workflow An Introduction to Hive, Imapala, and Pig An Introduction to Oozie Conclusion For More Details, Visit Our Website: www.peridotsystems.in Venue: KamatchiKrupaApts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu – 600020 Selvakumar – 9952010141

Learn Hadoop from beginner to expert level. Course includes (Hadoop Yarn, Hadoop Developer, Hadoop Administrator, Hadoop Analyst, Hadoop QA, Java for Hadoop). Source URL - https://intellipaat.in/

" 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/ "

Our Hadoop Training in Chennai will be highly supported with the guidance of certified and working professionals from top companies. Also we will provide you the Free software installation so that you can practice at home also we are holding lab facilities with us for free practice. Modules with Hadoop: Admin Developer Architech These are the modules with Hadoop technology. Java is the prerequisite to learn hadoop. Admin is the most basic with hadoop. Developer is the next level with admin. All the students are advised to learn developer part with admin which help for getting placement very easily. About us: 100% job based training Instructors working with top companies More practical classes Free software installation Training material soft copy will be provided flexible timing with minimum batch strength Different time slots available These are all about our institute. Attend a free demo session contact us at 9566183028 or www.peridotsystems.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 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 ..........

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