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Hadoop Big Data Training Program Leading Big Data Hadoop Training Institute in Hyderabad, India. Join Today! ________________________________________ Internet marketing saw a huge change with the emergence of Big Data. Huge volumes of data collected from numerous sources are being used to create and develop marketing strategies that have the competitive edge. But how can one manually consolidate and correlate literarily millions of units of data. This brought about the development of Best Institute for Hadoop in hyderabad An open source framework, Hadoop allows you to store and process data in large scale. Developed by Doug Cutting and Mike Cafarella, this software is a registered under the Apache Software Foundation. The programming language used in Java, though in some places user interfaces such as like Pig Latin and a SQL variant have found use. The various modules of a Hadoop framework include Hadoop Distributed File System (HDFS), Hadoop Common, Hadoop YARN and Hadoop MapReduce. Hadoop is now being used by Facebook, Amazon, Yahoo and other major websites to cluster and consolidate all the data they collect. When you take up a Big Data training online program, you will be able to study the various facets of this open source program. You can also learn how to use this software framework to consolidate data and convert it into measurable information. Learning Big Data Hadoop training in Hyderabad will give you a competitive edge in the job market as data will always be in demand, thanks to the growing network of Internet and its related branches. Some of the topics that you will cover when you take up a Big Data Training program include concepts of Hadoop Distributed File System, MapReduce framework, MapReduce, Data Loading Techniques and the other features of this software program. You will also learn to analyze data using techniques such as Pig and Hive. The other components of the training program will probably include Hadoop administrative and developer tasks. You will also learn the basics of HBase and Hive architecture. This training will prove useful for developers, administrators as well as data analysts. When you are well versed in the basic functionalities of this software program, you will be able to analyze loads of data to find reliable information. So, who can study this program? Software professionals, software testers, and even managers can take up this program to develop specialized skills. You should have a good working knowledge of Java in order to study Hadoop Big Data Training Now that you know the importance of Big Data, take up a Big Data training online program and improve your working knowledge and chances for a better job opportunity. To know more about the syllabus and training program from Hadoop Training in Hyderabad Ameerpet visit http://hadooptraininginhyderabad.co.in/ Contact Hadoop Training in Hyderabad Address: Flat No. 302, Annapurna Block, Ameerpet, Hyderabad 16 Phone: +91-

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

Learn in just One month Big Data Hadoop,Hadoop,Hadoop by Industry experts in Elegant it Introduction to Big Data and Hadoop • Hadoop ecosystem - Concepts • Hadoop Map-reduce concepts and features • Developing the map-reduce Applications • Pig concepts • Hive concepts • HBASE Concepts • Mongo DB Concepts • Sqoop Concepts • Real Life Use Cases Introduction to Big Data and Hadoop • What is Big Data? • What are the challenges for processing big data? • What technologies support big data? • What is Hadoop? • Why Hadoop? • History of Hadoop • Use Cases of Hadoop • Hadoop eco System • HDFS • Map Reduce • Statistics Understanding the Cluster •Typical workflow • Writing files to HDFS • Reading files from HDFS • Rack Awareness • 5 daemons Let's talk Map Reduce • Before Map reduce • Map Reduce Overview • Word Count Problem • Word Count Flow and Solution • Map Reduce Flow • Algorithms for simple problems • Algorithms for complex problems Developing the Map Reduce Application • Data Types • File Formats • Explain the Driver, Mapper and Reducer code • Configuring development environment - Eclipse • Writing Unit Test • Running locally • Running on Cluster • Hands on exercises c • Anatomy of Map Reduce Job run • Job Submission • Job Initialization • Task Assignment • Job Completion • Job Scheduling • Job Failures • Shuffle and sort • Oozie Workflows • Hands on Exercises Map Reduce Types and Formats • MapReduce Types • Input Formats - Input splits & records, text input,binary input, multiple inputs & database input. • Output Formats - text Output, binary output, multiple outputs, lazy output and database output • Hands on Exercises. Map Reduce Features •Counters • Sorting • Joins - Map Side and Reduce Side • Side Data Distribution • MapReduce Combiner • MapReduce Partitioner • MapReduce Distributed Cache • Hands Exercises Hive and PIG • Fundamentals • When to Use PIG and HIVE • Concepts • Hands on Exercises HBASE • CAP Theorem • Hbase Architecture and concepts • Programming and Hands on Exercises Case Studies Discussions Thanks&Regards Elegant IT Services, #nd Floor,Aswath Nagar Varthur main road,Near Railway Fly Over Maratha halli,Land mark: Chemmunar Jewellers, Bangalore -

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

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

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

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 ..........

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Learn Hadoop Training in Chennai and get update your knowledge with the most booming technology and enter into the evergreen technology. Learn from the experts to become a same over short duration. Our training will be practical based and offering you full technical knowledge. We will start with the basic concepts to advanced level. Modules with Hadoop: Admin Developer Architect These are the modules with Hadoop that we are handling with our best trainers. Our trainer is capable of handling all the three modules starts with the basic to advanced topics. Benefits with Us: 100% placement based training More practical sessions Placement assistance will be provided Training material soft copy and software will be given Certification guidance will be provided Technical support for one year These are the few benefits with us. Contact us and enrol for free demo. We are reachable at 9566183028 or www.peridotsystems.in

Hadoop is the most widely used Apache open source framework for large data processing in clustered data systems. SkillUp Hadoop programming course incorporates MapReduce and YARN, an introduction to Apache Pig, and working on data pipelines with Apache Kafka. This program includes 2 courses: Course 1: MapReduce and YARN Course 2: Simplifying Data Pipelines with Apache Kafka This learning path is designed to convey what you need to know about Hadoop, what you have learned, and where to go next. To learn  more about Hadoop programming language course, Visit Our Website “ SkillUp Online ”.