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WHERE IN THE WORLD THE JOBS HAVE GONE ?      For those who have lost the jobs due to COVID – 19, Pandemic, or  looking for a new career opportunity.  Don’t lose heart.  Indeed, the world of BIG DATA is waiting for you. Now the question is whether you are skilled enough to dive into the ocean of BIG DATA? If not, contact us we do have opportunities. We have specially formulated the career opportunities for • Students • Working Professionals, who wish to enhance skills  • Professionals looking to change in career  • Corporate Training. • Hands-on-Training for interns. • Live Projects.  We Provide Career Counselling, Training, Consultation & Placement Assistances in the domain of. DATA INTEGRATION | DATA SCIENCE | BIG DATA IN MYSORE      With Following Features  Training Facilities – Online & Interactive (Students, Professionals & Corporates.  In-House Training Facility with fully sterilised environment and implementing COVID PRECAUTIONARY MEASURES.  Expert Panel Counselling & Guidance for the best career options.  Mock Tests. And customizable training modules, all at highly economical & flexible fee structure. WAIT IS OVER, PICK YOUR PHONE AND CONTACT US. 97430 93667/ 97437 10644

Data is classified as big if the total size is more than 1 GB/TB/PB/EX. A large organization with a huge amount of data uses Hadoop, Spark software, processed with the help of a large cluster of commodity hardware. Cluster term refers to a group of systems that are connected via LAN and multiple nodes on this cluster helps in performing the jobs. Hadoop, Spark has gained popularity worldwide in managing big data and at present, it has covered nearly 90% market of big data.   Categories of BigData: 1) Structured 2) Unstructured 3) Semi-structured   Example of BigData: 1) New York Exchange generates about 1 TB of new trade data per day. 2) Social Media:  Statistics shows that 500+ terabytes of data get ingested into the database of social media site Facebook, every day. 3) Jet Engine /Travel Portals: Single Jet Engine generates 10+ terabytes(TB) of data in 30 minutes of a flight per day.  Generation of data reaches up to many Petabytes (PB). Overview of Hadoop Ecosystem:   The Hadoop ecosystem consists of 1) HDFS (Hadoop Distributed File System) 2) Apache MapReduce 3) Apache PIG 4) Apache HBase 5) Apache Hive 6) Apache Sqoop 7) Apache Flume, and 8) Apache Zookeeper 9) Apache Kafka 10) Apache OOZIE     iClass Gyansetu provides classes with corporate trainers working with top companies.   Placement Gyansetu provides free placement services.   Duration Big Data Hadoop, Spark takes around 4-5months to learn   Contact Phone No- +91-8130799520/ 9999201478 Website- www.gyansetu.in  

Top Enterprises using Hadoop-Yahoo, Facebook, Twitter, LinkedIn, Ebay, IBM, amazon, AOL etc. How Important is Big Data Analytics Relative to other Priorities in your Company? INTELLIPAAT is a young dynamic online training provider driving Education for Employability & Career advancement across the globe Known as a "one stop, training shop" for high end technical training. Since we started our journey, we have trained over 1,20,000+ professionals with 50 corporate clients across the globe. Intellipaat has offices in India ( Jaipur , Bangalore), US, UK, Canada. http://visual.ly/hadoop-jobs-intellipaatin https://intellipaat.com/

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

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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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

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 • 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 • 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

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 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…...

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Best Hadoop Training Institute In Chennai Peridot Systems is proudly introduces the job oriented training in Chennai adyar with 100 % guaranteed jobs .Our goal is to provide the best quality education to professionals. . Our course syllabus includes basic to advanced level and course syllabus is designed to get the placement in MNC companies in Chennai for more details about course content call 9952010141(Ruban) 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 Real Time Training Free Demo classes 100% free assistance for Microsoft Certification 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 Mail: ruban@peridotsystems.in Mobile No: 9952010141 Visit Our Website: www.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 |

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