Hadoop training class room

Classroom and Online based training handled by experienced proficient trainer.Our Hadoop training in Chennai is the space for individuals to fabricate information aptitudes and chance to work on real time projects. Our Hadoop training Class session give space for the learners to learn in most appropriate way and help them to get more information in Hadoop. Expansive number of data is simultaneously utilized by hadoop by utilizing ease PCs for increasing better results.The hadoop utilization is to store data and execute the applications on equipment clusters.Hadoop have more capacity and huge measure of data stockpiling and capacity to handle more number of errands which has given. Hadoop is evergreen developing industry and lots of competition in Hadoop field among Hadoop Learners.This is the perfect spot for the general population to experienced training on Big data to support their profession. We are the best Hadoop training institute in Chennai where we offer best enormous information hadoop training at Affordable cost. Free Professional Resume Preparation training offered and help them to fabricate the resume.This will give included advantage for landing position in organizations.Learn how to pull in the organizations by giving the information in your expert resume.Here at Peridot,provided preparing for how to handle the troublesome meeting challenges which has directed by top level organizations. Hadoop Modules Hadoop Admin Hadoop Developer Hadoop Architecture Tremendous Offer Price on Hadoop by taking three modules as Combo pack.If you have to know more insights about hadoop preparing in Chennai course,then call me to understudy guide's 9566293201 or you can visit our site here: www.peridotsystems.in/hadoop-preparing 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

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 • 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

" 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/ "

​ 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.,

i FOCUS IT SOLUTIONS is one of the leading Software IT Training with Placement Center in Hyderabad. HADOOP , QLIKVIEW,ADF,ODI,IBM Cast Iron,SALESFORCE CRM,OBIEE 11g,SAP BO,SAP FICO,MS-BI,TERADATA,ABINITIO, INFORMATICA,MQ-SERIES,IPHONE,ANDROID,SAO,OAF,other technologies. We strive to help develop the skills and knowledge needed to compete in the current employment market and adapt to future changes. At i FOCUS, each aspiring person is individually, trained to the highest global standards, then gains professional experience in quality local and international standards. We provide trainings for Class room, online & corporate. Our Trainers profile - Real Time Faculties well experienced with certified 100% Job Assistance after the course .

Online and Classroom based training handled by experienced professional trainer.Our Hadoop training in Chennai is the space for people to build knowledge skills and opportunity to work on real time projects. Our Hadoop tutorial Class give space for the learners to learn in smartest way and help them to receive more knowledge in Hadoop. Large number of information is concurrently used by hadoop by using low cost computers for gaining better results.The hadoop usage is to store information and execute the applications on hardware clusters.Hadoop have more capability and enormous amount of information storage and ability to handle more number of tasks which has given. Hadoop is ever green growing industry and there is lot of competitors in Hadoop field among Hadoop Learners.This is the right place for the people to undergone training on Big data to boost their career. We are the leading Hadoop training in Chennai where we offer best big data hadoop training at Affordable price. Free Professional Preparation training offered and help them to build the reume.This will give added benefit for getting job in organizations.Learn how to attract the companies by giving the data in your professional resume.Here at Peridot,provided training for how to handle the difficult interview challenges which has conducted by top level companies. Hadoop Modules Hadoop Architecture Hadoop Admin Hadoop Developer Huge Offer Price on Hadoop by taking three modules as Combo pack.If you need to know more details about hadoop training in Chennai course,then give me a call to student counsellor’s 9566293201 or you can visit our website here: www.peridotsystems.in/hadoop-training-in-chennai.php

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Peridot systems offer best Hadoop training with good placement. We have team of trainers working in top IT industries. Our training is best of all institutes in Chennai. We care for each and every student to achieve their dream goals. Our class timings and batch size are flexible. Course highlights  Free trial on courses for two days  100% placement assistance  Flexible Timings  Classroom Training  Online Training  Resume preparation  Certification support SYLLABUS  Introduction  HDFS  Map reduce  Architecture of map reduce  Admin  HBase  Hive  Hadoop ecosystems For further detail PAPITHA Contact: 8754597596/ 044-42657099 Visit us on: www.peridotsystems.in Venue: Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam Main Street, Venkatarathinam Nagar, LB Road, Adyar, Chennai

Best Hadoop Training Institute In Chennai … Providing high quality interactive and cost effective IT Technologies Training in adyar .Our institute undertaking Online Training, Class Room Training, Corporate Training and Free demo class for Students call syed(9790855020). “Peridot systems “NEVER STOP LEARNING BECAUSE LIFE NEVER STOP TEACHING”” Benefits of Peridot systems:  Highly skilled and experienced IT Professionals as trainers.  Real time and Job oriented Software Training  Very nominal fees compared to other the best software training institutes in Chennai.  free career guidance from IT industry experts Website: www. bigdatahadooptrainingchennai.com ADVANTAGES FOR STUDENTS:  We provide a real time training classes.  We provide a two days free demo classes  We have a real time working professional experts.  We take special care each student... Course Syllabus : • Introduction to Distributed systems • Introduction to Big Data • Introduction to Hadoop • The Hadoop Distributed File System (HDFS) • Hadoop Administration • Map/Reduce Programming – Java Mail: syed.noor@peridotsystems.in Mobile No: 9790855020 Visit Our Website: www.peridotsystems.in Related Tags: Best Hadoop Online Training in Chennai| Hadoop Training in Chennai | Best Hadoop Training in Chennai | Corporate Training for Hadoop | Corporate Training for Hadoop |

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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 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