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We peridot systems located at Adyar is offering the best SOFTWARE TESTING training with the expert trainers from top MNCs and certified too. Our syllabus will comes across all the basic to advance level concepts that helps you in getting 100% technical knowledge. Modules in Software Testing: Manual Automation QTP/QC Selenium Protocol Testing Loadrunner Companies where our students got placed: Here comes the list of companies where our students got placed after the successful completion of course M.S infoware, Bangalore Flipkart, Bangalore Talent corner HR solution, Chennai TCS, Chennai and so on Why PERIDOT SYSTEMS: Experienced and certified professionals from Industries Excellent lab facilities Free software will be provided Free soft copy of the training material will be provided 100% job assurance will be provided Flexible timing - Weekdays, weekends batch Minimum number of students per batch Practical oriented classes (working with live projects) Batch strength : Minimum 2 students, Maximum 3 students Batch Timing: Weekdays - 1 hr per day (Monday to Friday) Weekends - 4 hrs per day (Saturday and sunday) Fast track Batch Total Course Duration: 45 Hrs Total Course Fees: Each module 8K Call us at 9566183028 or visit our website www.peridotsystems.in enrol your name today and attend free demo class and get eligible for the offers and discounts.

We are offering the best training for SAS with the certified and working professionals as instructors. Our syllabus will be designed in such a way that it covers all the basic to advanced concepts which helps us to get 100% technical knowledge that will guide in your career. Modules with SAS: Basic Advance Clinical These are the modules with SAS that we are handling in our institute. The classes will be fully practical session with industrial exposure. About our institute (PERIDOT SYSTEMS, ADYAR): 100% job based Training Guaranteed Technical knowledge Software Installation for free Soft copy training material will be provided Certification guidance Technical support - one year Excellent lab facilities for free These are the few benefits with us. So don’t delay contact us and get benefited with us attend a free demo session and know about my faculty. We will be available at 9566183028 or www.peridotsystems.in

We are offering the best training with the support of instructors from top companies. Our sharepoint trainer is holding around 9 years of experience with the particular technology and certified professional which promises you to get 100% technical knowledge at the end of the course. Also our training session will be fully practical basis. Modules with SHAREPOINT: Admin Developer These are the two different modules with SHAREPOINT. Reasons to choose our institute: 100% job based training Training with industrial experts syllabus with basic to advanced concepts Technical support for one year Excellent lab facilities Students can use the lab at any time free of cost These are about our institute. We also providing free demo class before registration. We are available at 9566183028 or www.peridotsystems.in and enroll for free demo.

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

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering,

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join and...

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau  1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map Reduce Application • Phases in Map Reduce Framework • Map Reduce Input and Output Formats • Advanced Concepts • Sample Applications • Combiner 8. Joining datasets in Mapreduce jobs • Map-side join • Reduce-Side join 9. Map reduce – customization • Custom Input format class • Hash Partitioner • Custom Partitioner • Sorting techniques • Custom Output format class 10. Hadoop Programming Languages :- I.HIVE • Introduction • Installation and Configuration • Interacting HDFS using HIVE • Map Reduce Programs through HIVE • HIVE Commands • Loading, Filtering, Grouping…. • Data types, Operators….. • Joins, Groups…. • Sample programs in

HADOOP Training in Hyderabad @Sadguru Technologies Course Objective Summary During this course, you will learn: • Introduction to Big Data and Analytics • Introduction to Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • Sqoop concepts • Flume Concepts • Oozie workflow concepts • Impala Concepts • Hue Concepts • HBASE Concepts • ZooKeeper Concepts • Real Life Use Cases Reporting Tool • Tableau 1. Virtualbox/VM Ware • Basics • Installations • Backups • Snapshots 2. Linux • Basics • Installations • Commands 3. Hadoop • Why Hadoop? • Scaling • Distributed Framework • Hadoop v/s RDBMS • Brief history of hadoop 4. Setup hadoop • Pseudo mode • Cluster mode • Ipv6 • Ssh • Installation of java, hadoop • Configurations of hadoop • Hadoop Processes ( NN, SNN, JT, DN, TT) • Temporary directory • UI • Common errors when running hadoop cluster, solutions 5. HDFS- Hadoop distributed File System • HDFS Design and Architecture • HDFS Concepts • Interacting HDFS using command line • Interacting HDFS using Java APIs • Dataflow • Blocks • Replica 6. Hadoop Processes • Name node • Secondary name node • Job tracker • Task tracker • Data node 7. Map Reduce • Developing Map ..........

HADOOP ANALYST TRAINING IN CHENNAI,PERIDOT SYSTEMS, 100% JOB Warm greetings from PERIDOT, Join with us to get placed in MNC.Give a call to ruban(9952010141) to know more. Peridot systems offer a software training course to get job easily in MNC. Trainers are MNC working proffesionals. We are providing a certified course at affordable cost. First your welcome to attend a free demo classes.... Pre-requisites: To learn hadoop admin, basic knowledge of SQL is needed. We provide a complimentary Course “SQL basic” to all learners to brush up SQL. Target learners: If you are Interested in SQL & Scripting Languages, Large Scale Date set operation, Creating values then you can be a Hadoop data analyst. Content: Introduction Hadoop Fundamentals Basic Data Analysis with Pig Processing Complex Data with Pig Multi-Dataset Operations with Pig Extending Pig Pig Troubleshooting and Optimization Introduction to Hive Relational Data Analysis with Hive Hive Data Management Text Processing with Hive Hive Optimization Extending Hive Introduction to Impala Analyzing Data with Impala Choosing the Best Tool for the Job Conclusion For More Details, Visit Our Website: www.peridotsystems.in Venue: KamatchiKrupaApts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai, Tamil Nadu – 600020 Selvakumar – 9952010141

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

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

​ 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.,

​ 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.,