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Learn Hadoop Training in Chennai Are you excited and want to learn big data technologies. Do you feel that internet is all littered free materials but it’s complicated for a newbie? Free internet learning material can be a can worms for a beginner and training is advised for a jump start but then do you feel that big data company offered trainings would cost you an arm and a leg? When you look at webinar trainings by other than institutes, you find it of poor quality and dodgy without guarantee. The world can go upside down while learning a new complicated technology as Hadoop. Become a certified Hadoop developer covers everything you need to know to start a career in Hadoop technology and achieve expertise to a level where you can face certification like Cloudera and Hortonworks with confidence. You can start as a beginner and this course would help you to become a certified professional. This course would take you through the nee and event of big data technologies. Why Choose Hadoop? How to setup Hadoop details HDFS mechanism, how Map Reduce program works in MapReduce classic and YARN. Important consideration you need to take to write Map Reduce program and intro to Hadoop ecosystem. This course has all 30 lectures divided into eight sections with the course, you get the code of all the examples discussed in the course and at the end of each lesson, there are quizzes and questions which will prepare you to face and clear cloudera and Hortonworks certification exams. Who should do this course? Programming Engineers, who are into ETL/Programming and investigating for awesome openings for work in Hadoop. Managers, who are searching for the most recent advancements to be implemented in their association, to meet the momentum & up and coming difficulties of information administration. Any Graduate / Post-Graduate, who is trying an incredible profession towards the front line technologies in IT. Why Hadoop Training in Peridot Systems? Strongly believe that you need not burn a hole in your pocket to learn Hadoop. Our Goal is to create best in class courses to learn Hadoop and related technologies. I am confident that you all love this course as I ensured high standards while creating it but just in case, if you find the course is not right for you, don’t worry. This course come with money back guarantee but if you choose to stay, you have unlimited lifetime access to the course and special offers on my upcoming courses. So get started with the course. Get on track to clear certifications & get flooded with job offers and bag the coolest IT Jobs in the current times, avoid wrong turns, and make the right decision. For details Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu - 600020. Landline : 044 - 4211 5526 , 044- 4550 1165 , 044 - 4265 7099 Mobile : +91- 8056102481 Landmark : 2 Minutes walk able distance from Adyar Telephone Exchange / Adyar Bus depot

Why Choose Hadoop? How to setup Hadoop details HDFS mechanism, how Map Reduce program works in MapReduce classic and YARN. Important consideration you need to take to write Map Reduce program and intro to Hadoop ecosystem. This course has all 30 lectures divided into eight sections with the course, you get the code of all the examples discussed in the course and at the end of each lesson, there are quizzes and questions which will prepare you to face and clear cloudera and Hortonworks certification exams. Learn Hadoop Training in Chennai Are you excited and want to learn big data technologies. Do you feel that internet is all littered free materials but it’s complicated for a newbie? Free internet learning material can be a can worms for a beginner and training is advised for a jump start but then do you feel that big data company offered trainings would cost you an arm and a leg? When you look at webinar trainings by other than institutes, you find it of poor quality and dodgy without guarantee. The world can go upside down while learning a new complicated technology as Hadoop. Become a certified Hadoop developer covers everything you need to know to start a career in Hadoop technology and achieve expertise to a level where you can face certification like Cloudera and Hortonworks with confidence. You can start as a beginner and this course would help you to become a certified professional. This course would take you through the nee and event of big data technologies. Who should do this course? Programming Engineers, who are into ETL/Programming and investigating for awesome openings for work in Hadoop. Managers, who are searching for the most recent advancements to be implemented in their association, to meet the momentum & up and coming difficulties of information administration. Any Graduate / Post-Graduate, who is trying an incredible profession towards the front line technologies in IT. Why Hadoop Training in Peridot Systems? Strongly believe that you need not burn a hole in your pocket to learn Hadoop. Our Goal is to create best in class courses to learn Hadoop and related technologies. I am confident that you all love this course as I ensured high standards while creating it but just in case, if you find the course is not right for you, don’t worry. This course come with money back guarantee but if you choose to stay, you have unlimited lifetime access to the course and special offers on my upcoming courses. So get started with the course. Get on track to clear certifications & get flooded with job offers and bag the coolest IT Jobs in the current times, avoid wrong turns, and make the right decision. For details Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu - 600020. Landline : 044 - 4211 5526 , 044- 4550 1165 , 044 - 4265 7099 Mobile : +91- 8056102481 Landmark : 2 Minutes walkable distance from Adyar Telephone Exchange / Adyar Bus depot

Are you excited and want to learn big data technologies. Do you feel that internet is all littered free materials but it’s complicated for a newbie? Free internet learning material can be a can worms for a beginner and training is advised for a jump start but then do you feel that big data company offered trainings would cost you an arm and a leg? When you look at webinar trainings by other than institutes, you find it of poor quality and dodgy without guarantee. The world can go upside down while learning a new complicated technology as Hadoop. Become a certified Hadoop developer covers everything you need to know to start a career in Hadoop technology and achieve expertise to a level where you can face certification like Cloudera and Hortonworks with confidence. You can start as a beginner and this course would help you to become a certified professional. This course would take you through the nee and event of big data technologies. Who should do this course? Programming Engineers, who are into ETL/Programming and investigating for awesome openings for work in Hadoop. Managers, who are searching for the most recent advancements to be implemented in their association, to meet the momentum & up and coming difficulties of information administration. Any Graduate / Post-Graduate, who is trying an incredible profession towards the front line technologies in IT. Why Hadoop Training in Peridot Systems? Strongly believe that you need not burn a hole in your pocket to learn Hadoop. Our Goal is to create best in class courses to learn Hadoop and related technologies. I am confident that you all love this course as I ensured high standards while creating it but just in case, if you find the course is not right for you, don’t worry. This course come with money back guarantee but if you choose to stay, you have unlimited lifetime access to the course and special offers on my upcoming courses. So get started with the course. Get on track to clear certifications & get flooded with job offers and bag the coolest IT Jobs in the current times, avoid wrong turns, and make the right decision. Why Choose Hadoop? How to setup Hadoop details HDFS mechanism, how Map Reduce program works in MapReduce classic and YARN. Important consideration you need to take to write Map Reduce program and intro to Hadoop ecosystem. This course has all 30 lectures divided into eight sections with the course, you get the code of all the examples discussed in the course and at the end of each lesson, there are quizzes and questions which will prepare you to face and clear cloudera and Hortonworks certification exams. For details Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu - 600020. Landline : 044 - 4211 5526 , 044- 4550 1165 , 044 - 4265 7099 Mobile : +91- 8056102481 Landmark : 2 Minutes walkable distance from Adyar Telephone Exchange / Adyar Bus depot

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Best Hadoop Training Institute In Chennai Peridot Systems is proudly introduces the job oriented real time training in Chennai adyar with 100% placement ...call to syed(9790855020) for more information about the course details. Benefits of Peridot systems: 100% Placement Assistance Free Demo Class Online, Weekdays and weekend Classes Good LAB facilities Free Software installation MNC working Faculty Website: www. bigdatahadooptrainingchennai.com 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 For Interested , Contact for more details about course content please view our website www.peridotsystems.in Contact 9790855020 Land Line No : 044-42115526 Mail Id :syed.noor@peridotsystems.in Our WebSite: http://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 |

Best Hadoop Training Institute In Chennai Peridot systems One of the best IT course training institute in Chennai adyar.. All our sessions are completely real time and practical training..Our Trainer working in MNC companies… Peridot systems provide 100% assured placemet Highlights Of Peridot Systems: MNC Employees with Min. 10+ Years of Industry Experts are trainers here Practical oriented / Job oriented Training. Practice on Software Testing Tools & Real Time project We are the Best Manual and QTP Training institute in CHENNAI with Lowest Fees Ever. Mostly Practical Sessions for every course in our institute. More interaction with student to Testing faculty and student to student Weekly mock interviews / group discussions / interview related questions. Back up Classes Available. Attend classes multiple times until student has learned each topic comfortably. Website: www. bigdatahadooptrainingchennai.com 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 For Interested , Contact for more details about course content please view our website www.peridotsystems.in Contact 9790855020 Land Line No : 044-42115526 Mail Id :syed.noor@peridotsystems.in Our WebSite: http://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 |

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, 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 • 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

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 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-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