Installations batching

With 2.6 quintillion bytes of data being produced on a daily basis, there is a fast growing need of big data & Hadoop training to nurture professionals who can manage and analyse massive (tera/petabytes) data-sets to bring out business insights. To do this requires specialized knowledge on various tools like the Hadoop ecosystem. Through this big data & Hadoop training course, the participants will gain all the skills requisite to be a Hadoop Developer. The participant will learn the installation of Hadoop cluster, understand the basic and advanced concepts of Map Reduce tools used by Big Data analysts like Pig, Hive, Flume, Sqoop and Oozie. The course will train you towards global certifications offered by Cloudera, Hortonworks etc. The course will be very useful for engineers and software professionals with a programming background. HADOOP Online Training by Peopleclick with an excellent and real time faculty. Our Hadoop Big Data course content designed as per the current IT industry requirement. Apache Hadoop is having very good demand in the market, huge number of job openings are there in the IT world. We provide regular and weekend classes as well as Normal track/Fast track based on the learners requirement and availability. As all our faculty is real time professionals our trainer will cover all the real time scenarios. We have trained many students on Apache Hadoop Big Data, We provide Corporate Trainings and Online trainings throughout the world. We will give you 100% satisfaction guarantee, After completion of Hadoop Training we provide days technical support for required candidates. We will provide 100% certification support, resume preparation and Placements. HADOOP ONLINE TRAINING COURSE CONTENT: We provide both Hadoop Development and Admin Training. 1. INTRODUCTION What is Hadoop? History of Hadoop Building Blocks – Hadoop Eco-System Who is behind Hadoop? What Hadoop is good for and why it is Good 2. HDFS Configuring HDFS Interacting With HDFS HDFS Permissions and Security Additional HDFS Tasks HDFS Overview and Architecture HDFS Installation Hadoop File System Shell File System Java API 3. MAPREDUCE Map/Reduce Overview and Architecture Installation Developing Map/Red Jobs Input and Output Formats Job Configuration Job Submission Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms) 4. Getting Started With Eclipse IDE Configuring Hadoop API on Eclipse IDE Connecting Eclipse IDE to HDFS 5. Hadoop Streaming 6. Advanced MapReduce Features Custom Data Types Input Formats Output Formats Partitioning Data Reporting Custom Metrics Distributing Auxiliary Job Data 7. Distributing Debug Scripts 8.Using Yahoo Web Services 9. Pig Pig Overview Installation Pig Latin Pig with HDFS 10. Hive Hive Overview Installation Hive QL Hive Unstructured Data Analyzation Hive Semistructured Data Analyzation 11.HBase HBase Overview and Architecture HBase Installation HBase Shell CRUD operations Scanning and Batching Filters HBase Key Design 12.ZooKeeper Zoo Keeper Overview Installation Server Mantainace 13.Sqoop Sqoop Overview Installation Imports and Exports 14.CONFIGURATION Basic Setup Important Directories Selecting Machines Cluster Configurations Small Clusters: 2-10 Nodes Medium Clusters: Nodes Large Clusters: Multiple Racks 15.Integrations 16.Putting it all together Distributed installations Best Practices Benefits of taking the Hadoop & Big Data course •Learn to store, manage, retrieve and analyze Big Data on clusters of servers in the cloud using the Hadoop eco-system •Become one of the most in-demand IT professional in the world today •Don't just learn Hadoop development but also learn how to analyze large amounts of data to bring out insights •Relevant examples and cases make the learning more effective and easier •Gain hands-on knowledge through the problem solving based approach of the course along with working on a project at the end of the course Who should take this course? This course is designed for anyone who: •wants to architect a big data project using Hadoop and its Eco System components •wants to develop Map Reduce programs to handle enormous amounts of data •you have a programming background and want to take your career to another level Pre-requisites •The participants need basic knowledge of core Java for this course. (If you do not have Java knowledge, then do not worry. We provide you with our 'Java Primer for Hadoop' course complimentary with this course so that you can learn the requisite Java skills) •Any experience of Linux environment will be helpful but is not necessary

Through this big data & Hadoop training course, the participants will gain all the skills requisite to be a Hadoop Developer. The participant will learn the installation of Hadoop cluster, understand the basic and advanced concepts of Map Reduce tools used by Big Data analysts like Pig, Hive, Flume, Sqoop and Oozie. The course will train you towards global certifications offered by Cloudera, Hortonworks etc. The course will be very useful for engineers and software professionals with a programming background. HADOOP Online Training by Peopleclick with an excellent and real time faculty. Our Hadoop Big Data course content designed as per the current IT industry requirement. Apache Hadoop is having very good demand in the market, huge number of job openings are there in the IT world. We provide regular and weekend classes as well as Normal track/Fast track based on the learners requirement and availability. As all our faculty is real time professionals our trainer will cover all the real time scenarios. We have trained many students on Apache Hadoop Big Data, We provide Corporate Trainings and Online trainings throughout the world. We will give you 100% satisfaction guarantee, After completion of Hadoop Training we provide days technical support for required candidates. We will provide 100% certification support, resume preparation and Placements. HADOOP ONLINE TRAINING COURSE CONTENT: We provide both Hadoop Development and Admin Training. 1. INTRODUCTION What is Hadoop? History of Hadoop Building Blocks – Hadoop Eco-System Who is behind Hadoop? What Hadoop is good for and why it is Good 2. HDFS Configuring HDFS Interacting With HDFS HDFS Permissions and Security Additional HDFS Tasks HDFS Overview and Architecture HDFS Installation Hadoop File System Shell File System Java API 3. MAPREDUCE Map/Reduce Overview and Architecture Installation Developing Map/Red Jobs Input and Output Formats Job Configuration Job Submission Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms) 4. Getting Started With Eclipse IDE Configuring Hadoop API on Eclipse IDE Connecting Eclipse IDE to HDFS 5. Hadoop Streaming 6. Advanced MapReduce Features Custom Data Types Input Formats Output Formats Partitioning Data Reporting Custom Metrics Distributing Auxiliary Job Data 7. Distributing Debug Scripts 8.Using Yahoo Web Services 9. Pig Pig Overview Installation Pig Latin Pig with HDFS 10. Hive Hive Overview Installation Hive QL Hive Unstructured Data Analyzation Hive Semistructured Data Analyzation 11.HBase HBase Overview and Architecture HBase Installation HBase Shell CRUD operations Scanning and Batching Filters HBase Key Design 12.ZooKeeper Zoo Keeper Overview Installation Server Mantainace 13.Sqoop Sqoop Overview Installation Imports and Exports 14.CONFIGURATION Basic Setup Important Directories Selecting Machines Cluster Configurations Small Clusters: 2-10 Nodes Medium Clusters: Nodes Large Clusters: Multiple Racks 15.Integrations 16.Putting it all together Distributed installations Best Practices Benefits of taking the Hadoop & Big Data course •Learn to store, manage, retrieve and analyze Big Data on clusters of servers in the cloud using the Hadoop eco-system •Become one of the most in-demand IT professional in the world today •Don't just learn Hadoop development but also learn how to analyze large amounts of data to bring out insights •Relevant examples and cases make the learning more effective and easier •Gain hands-on knowledge through the problem solving based approach of the course along with working on a project at the end of the course Who should take this course? This course is designed for anyone who: •wants to architect a big data project using Hadoop and its Eco System components •wants to develop Map Reduce programs to handle enormous amounts of data •you have a programming background and want to take your career to another level Pre-requisites •The participants need basic knowledge of core Java for this course. (If you do not have Java knowledge, then do not worry. We provide you with our 'Java Primer for Hadoop' course complimentary with this course so that you can learn the requisite Java skills) •Any experience of Linux environment will be helpful but is not necessary

BIG DATATraining @ObjectArena Chennai We at OBJECT ARENA offer advanced IBM courses as well as programming languages in the Industry designed for both fresher and corporate folks. Our courses are created to be the most effective with an objective to provide the best ROI possible. Courses range from taking an individual from introduction to certification, while advanced classes provide a test play ground to refresh their knowledge using intense break-it fix-it lab exercises. We balance lectures with extensive business case oriented intense labs along with daily computerized testing to gauge a student’s progress. Our goal is to provide the best ROI possible. ADVANTAGES Globally Recognized Program Structured & result-oriented training Interactive training session Certified Instructors from the Industry Industry standard Course Materials Industry Certification Frequently Asked questions Industry tour for top students Project exposure for top students Industry mentors for Top students Course content for Big Data BIG DATA - Simple Definition to the technology, 3 V’s of Big Data Big Data Use Cases -Social media, Log files etc., What can be done with the big data -Importance of big data, insights from the data, how is it associated in day-to-day life Big Data Architecture -Introduction to Hadoop, Pig, JAQL, Hive, Hbase, Zookeeper etc., Big data is not just hadoop -The complete picture of how it is done IBM’s proceedings in Big Data Platform -Introduction to BigInsights, InfoStreams etc., BigInsights -Explain about Big sheets (i.e., Live Demo) Text Analytics -Introduction and an example of the terminology Importance of the technology -Some statistical information about the shortage of employees with these skills Case Studies -Case studies in real time scenarios and the future of Big Data. Course content for hadoop Course Content Introduction and Overview of Hadoop What is Hadoop?  History of Hadoop Building Blocks – Hadoop Eco-System Who is behind Hadoop? What Hadoop is good for and what it is not Hadoop Distributed File System (HDFS) HDFS Overview and Architecture HDFS Installation Hadoop File System Shell File System Java API Map/Reduce Map/Reduce Overview and Architecture Installation Developing Map/Red Jobs Input and Output Formats Job Configuration Job Submission HDFS as a Source and Sink HBase as a Source and Sink Hadoop Streaming HBase HBase Overview and Architecture HBase Installation HBase Shell CRUD operations Scanning and Batching Filters HBase Key Design Pig Pig Overview Installation Pig Latin Pig with HDFS Hive  Hive Overview Installation Hive QL Sqoop Sqoop Overview Installation Imports and Exports Zoo Keeper  Zoo Keeper Overview Installation Server Mantainace Putting it all together Distributed installations Best Practices

BIG DATATraining @ObjectArena Chennai We at OBJECT ARENA offer advanced IBM courses as well as programming languages in the Industry designed for both fresher and corporate folks. Our courses are created to be the most effective with an objective to provide the best ROI possible. Courses range from taking an individual from introduction to certification, while advanced classes provide a test play ground to refresh their knowledge using intense break-it fix-it lab exercises. We balance lectures with extensive business case oriented intense labs along with daily computerized testing to gauge a student’s progress. Our goal is to provide the best ROI possible. ADVANTAGES Globally Recognized Program Structured & result-oriented training Interactive training session Certified Instructors from the Industry Industry standard Course Materials Industry Certification Frequently Asked questions Industry tour for top students Project exposure for top students Industry mentors for Top students Course content for Big Data BIG DATA - Simple Definition to the technology, 3 V’s of Big Data Big Data Use Cases -Social media, Log files etc., What can be done with the big data -Importance of big data, insights from the data, how is it associated in day-to-day life Big Data Architecture -Introduction to Hadoop, Pig, JAQL, Hive, Hbase, Zookeeper etc., Big data is not just hadoop -The complete picture of how it is done IBM’s proceedings in Big Data Platform -Introduction to BigInsights, InfoStreams etc., BigInsights -Explain about Big sheets (i.e., Live Demo) Text Analytics -Introduction and an example of the terminology Importance of the technology -Some statistical information about the shortage of employees with these skills Case Studies -Case studies in real time scenarios and the future of Big Data. Course content for hadoop Course Content Introduction and Overview of Hadoop What is Hadoop?  History of Hadoop Building Blocks – Hadoop Eco-System Who is behind Hadoop? What Hadoop is good for and what it is not Hadoop Distributed File System (HDFS) HDFS Overview and Architecture HDFS Installation Hadoop File System Shell File System Java API Map/Reduce Map/Reduce Overview and Architecture Installation Developing Map/Red Jobs Input and Output Formats Job Configuration Job Submission HDFS as a Source and Sink HBase as a Source and Sink Hadoop Streaming HBase HBase Overview and Architecture HBase Installation HBase Shell CRUD operations Scanning and Batching Filters HBase Key Design Pig Pig Overview Installation Pig Latin Pig with HDFS Hive  Hive Overview Installation Hive QL Sqoop Sqoop Overview Installation Imports and Exports Zoo Keeper  Zoo Keeper Overview Installation Server Mantainace Putting it all together Distributed installations Best Practices For further details: go through this url Object Arena Software Solutions.pvt.ltd Address:no 1 nehru street co-operative nagar adambakkam,chennai-(Off Velachery Inner ring road) phone: - prasanna:

With 2.6 quintillion bytes of data being produced on a daily basis, there is a fast growing need of big data & Hadoop training to nurture professionals who can manage and analyse massive (tera/petabytes) data-sets to bring out business insights. To do this requires specialized knowledge on various tools like the Hadoop ecosystem. Through this big data & Hadoop training course, the participants will gain all the skills requisite to be a Hadoop Developer. The participant will learn the installation of Hadoop cluster, understand the basic and advanced concepts of Map Reduce tools used by Big Data analysts like Pig, Hive, Flume, Sqoop and Oozie. The course will train you towards global certifications offered by Cloudera, Hortonworks etc. The course will be very useful for engineers and software professionals with a programming background. HADOOP Online Training by Peopleclick with an excellent and real time faculty. Our Hadoop Big Data course content designed as per the current IT industry requirement. Apache Hadoop is having very good demand in the market, huge number of job openings are there in the IT world. We provide regular and weekend classes as well as Normal track/Fast track based on the learners requirement and availability. As all our faculty is real time professionals our trainer will cover all the real time scenarios. We have trained many students on Apache Hadoop Big Data, We provide Corporate Trainings and Online trainings throughout the world. We will give you 100% satisfaction guarantee, After completion of Hadoop Training we provide days technical support for required candidates. We will provide 100% certification support, resume preparation and Placements. HADOOP ONLINE TRAINING COURSE CONTENT: We provide both Hadoop Development and Admin Training. 1. INTRODUCTION What is Hadoop? History of Hadoop Building Blocks – Hadoop Eco-System Who is behind Hadoop? What Hadoop is good for and why it is Good 2. HDFS Configuring HDFS Interacting With HDFS HDFS Permissions and Security Additional HDFS Tasks HDFS Overview and Architecture HDFS Installation Hadoop File System Shell File System Java API 3. MAPREDUCE Map/Reduce Overview and Architecture Installation Developing Map/Red Jobs Input and Output Formats Job Configuration Job Submission Practicing Map Reduce Programs (atleast 10 Map Reduce Algorithms) 4. Getting Started With Eclipse IDE Configuring Hadoop API on Eclipse IDE Connecting Eclipse IDE to HDFS 5. Hadoop Streaming 6. Advanced MapReduce Features Custom Data Types Input Formats Output Formats Partitioning Data Reporting Custom Metrics Distributing Auxiliary Job Data 7. Distributing Debug Scripts 8.Using Yahoo Web Services 9. Pig Pig Overview Installation Pig Latin Pig with HDFS 10. Hive Hive Overview Installation Hive QL Hive Unstructured Data Analyzation Hive Semistructured Data Analyzation 11.HBase HBase Overview and Architecture HBase Installation HBase Shell CRUD operations Scanning and Batching Filters HBase Key Design 12.ZooKeeper Zoo Keeper Overview Installation Server Mantainace 13.Sqoop Sqoop Overview Installation Imports and Exports 14.CONFIGURATION Basic Setup Important Directories Selecting Machines Cluster Configurations Small Clusters: 2-10 Nodes Medium Clusters: Nodes Large Clusters: Multiple Racks 15.Integrations 16.Putting it all together Distributed installations Best Practices Benefits of taking the Hadoop & Big Data course •Learn to store, manage, retrieve and analyze Big Data on clusters of servers in the cloud using the Hadoop eco-system •Become one of the most in-demand IT professional in the world today •Don't just learn Hadoop development but also learn how to analyze large amounts of data to bring out insights •Relevant examples and cases make the learning more effective and easier •Gain hands-on knowledge through the problem solving based approach of the course along with working on a project at the end of the course Who should take this course? This course is designed for anyone who: •wants to architect a big data project using Hadoop and its Eco System components •wants to develop Map Reduce programs to handle enormous amounts of data •you have a programming background and want to take your career to another level Pre-requisites •The participants need basic knowledge of core Java for this course. (If you do not have Java knowledge, then do not worry. We provide you with our 'Java Primer for Hadoop' course complimentary with this course so that you can learn the requisite Java skills) •Any experience of Linux environment will be helpful but is not necessary For Further query call us @ or