Hadoop system

Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation. Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes. Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure. This approach lowers the risk of catastrophic system failure, even if a significant number of nodes become inoperative. Hadoop was inspired by Google's MapReduce, a software framework in which an application is broken down into numerous small parts. Any of these parts (also called fragments or blocks) can be run on any node in the cluster. Doug Cutting, Hadoop's creator, named the framework after his child's stuffed toy elephant. The current Apache Hadoop ecosystem consists of the Hadoop kernel, MapReduce, the Hadoop distributed file system (HDFS) and a number of related projects such as Apache Hive, HBase and Zookeeper. The Hadoop framework is used by major players including Google, Yahoo and IBM, largely for applications involving search engines and advertising. The preferred operating systems are Windows and Linux but Hadoop can also work with BSD and OS X. Thanks & Regards, Sky InfoTech Corporate Office: A-50,Sec-64,Noida(U.P) Noida- , / Delhi –/ Gurgaon – / Website- http://skyinfotech.in/HADOOP.aspx

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-

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Hadoop Training Course in Mumbai Techdata solution is a brand and providing quality Hadoop trainings with experiance faculty with support for students and employees in Mumbai. Techdata solution providing Best Hadoop online training in Mumbai Topics Covered: HADOOP Course topics that covered by our professionals: Introduction to Hadoop: 1.What is Hadoop? 2.History of Hadoop. 3.Who is behind Hadoop? 4.Configuring HDFS. 5.Interacting With HDFS. 6.HDFS Permissions and Security. 7.Additional HDFS Tasks. 8.HDFS Installation. 9.Hadoop File System Shell. 10.File System Java API. Techdata solution provideing The Following Services:   •Soft Copy Material •Access To Recording Sessions On Demand Basis •Certification Material And Guidelines •Consultancy Guidelines •Interview Questions& Answers (or) FAQs •Mock Interviews •Sample Resumes & Resume Guidance •24x7 Online Technical Support •Online Training For Week End And Regular Batches   For more details please go through the website.               +91 – 9702066624

Hadoop Online Training by Techdata solution. Learners can attend the Hadoop Training through Online classes and Online training as per their convenient timings. As all our faculty is real time professionals our trainer will cover all the real time scenarios. Apart from direct Training, we even offer SAS Online Training in. This is to make sure that even professionals can join our class from their home, as per their convenience. Topics Covered: HADOOP Course topics that covered by our professionals: Introduction to Hadoop: 1.What is Hadoop? 2.History of Hadoop. 3.Who is behind Hadoop? 4.Configuring HDFS. 5.Interacting With HDFS. 6.HDFS Permissions and Security. 7.Additional HDFS Tasks. 8.HDFS Installation. 9.Hadoop File System Shell. 10.File System Java API. Techdata solution provideing The Following Services: •Soft Copy Material •Access To Recording Sessions On Demand Basis •Certification Material And Guidelines •Consultancy Guidelines •Interview Questions& Answers (or) FAQs •Mock Interviews •Sample Resumes & Resume Guidance •24x7 Online Technical Support •Online Training For Week End And Regular Batches For more details please go through the website. +91 – 9702066624

Hadoop for Developers and Administrators Hadoop for Developers and Administrators Syllabus COURSE CONTENT Traning at hadoop school of training Magarpatta city Pune. (+91-93257-93756) www.hadoopschooloftraining.co.in Next level of development and administration Schedule: Day 1:BigData • Why is Big Data important • What is Big Data • Characteristics of Big Data • How did data become so big • Why should you care about Big Data • Use Cases of Big Data Analysis • What are possible options for analyzing big data • Traditional Distributed Systems • Problems with traditional distributed systems • What is Hadoop • History of Hadoop • How does Hadoop solve Big Data problem • Components of Hadoop • What is HDFS • How HDFS works • What is Mapreduce • How Mapreduce works • How Hadoop works as a system Day2: Hadoop ecosystem • Pig • What is Pig • How it works • An example • Hive • What is Hive • How it works • An example • Flume • What is Flume • How it works • An example • Sqoop • What is Sqoop • How it works • An example • Oozie • What is Oozie • How it works • An example • HDFS in detail • Map Reduce in details Day3: Hands On-¬‐ • VMsetup • Setting up Virtual Machine • Installing Hadoop in Pseudo Distributed mode Day 4: Hands On-¬‐ • Programs • Running your first MapReduce Program • Sqoop Hands on • Flume Hands Day 5: • Multinode cluster setup • Setting up a multimode cluster Day 6: • Planning your Hadoop cluster • Considerations for setting up Hadoop Cluster • Hardware considerations • Software considerations • Other considerations Day 7: Disecting the Wordcount Program • Understanding the Driver • Understanding the Mapper • Understanding the Reducer Day 8: • Diving deeper into MapReduce • API • Understanding combiners • Understanding partitioners • Understanding input formats • Understanding output formats • Distributed Cache • Understanding Counters Day 9: • Common Mapreduce patterns • Sorting Serching • Inverted Indexes Day 10: • Common Mapreduce patterns • TF-IDF • Word-Cooccurance Day 11: • Hands on Mapreduce Day 12: • Hands on Mapreduce Day 13: • Introduction to Pig and Hive • Pig program structure and execution process • Joins • Filtering • Group and Co-Group • Schema merging and redefining schema • Pig functions • Motivation and Understanding Hive • Using Hive Command line Interface • Data types and File Formats • Basic DDL operations • Schema Design Day 14: • Hands on Hive and Pig Day 15: • Advanced Hadoop Concepts • Yarn • Hadoop Federation • Authntication in Hadoop • High Availbability Day 16: • Administration Refresher • Setting up hadoop cluster - Considerations • Most important configurations • Installation options Day 17: • Scheduling in Hadoop • FIFO Scheduler • Fair Scheduler Day 18: • Monitoring your Hadoop Cluster • Monitoring tools available • Ganglia • Monitoring best practices Day 19: • Administration Best practices • Hadoop Administration best practices • Tools of the trade Day 20: • Test • Test – 50 questions test (20- Development releated, 20- • Administration related and 10 Hadoop in General Please Contact- Hadoop School of Training Destination Center, Second Floor Magarpatta City Pune: 411013 Phone: India: +91-93257-93756 USA: 001-347-983-8512 www.hadoopschooloftraining.co.in Email: learninghub01@gmail.com Skype: learning.hub01

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 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 Big Data Training Institute In Chennai - What is Big Data? Everyday, we create quintillion bytes of large data that to 90% of the data in the world today has been created in the last two years only. According to IBM, 80% of data captured today are unstructured, from sensors used to gather climate information, posts to social media sites, digital pictures and videos. What does Hadoop solve? Organizations are discovering that important predictions can be made by sorting through and analyzing. Big Data. However, since 80% of this data is "unstructured", it must be formatted (or structured) in a way that makes it suitable for data mining and subsequent analysis.Hadoop is the core platform for structuring Big Data, and solves the problem of making it useful for analytics purposes. Pre-requisites Some of the prerequisites for learning Hadoop include hands-on experience in Core Java and good analytical skills to grasp and apply the concepts in Hadoop. We provide a complimentary Course "Java Essentials for Hadoop" to all the participants who enroll for the Hadoop Training. This course helps you brush up your Java Skills needed to write Map Reduce programs. Course Objectives After the completion of the Big Data and Hadoop Course at JPA Solutions, you should be able to: •Master the concepts of Hadoop Distributed File System •Setup a Hadoop Cluster •Write MapReduce Code in Java •Perform Data Analytics using Pig and Hive •Understand Data Loading Techniques using Sqoop and Flume •Implement HBase, MapReduce Integration, Advanced Usage and Advanced Indexing •Have a good understanding of ZooKeeper service •Use Apache Oozie to Schedule and Manage Hadoop Jobs •Implement best Practices for Hadoop Development and Debugging •Develop a working Hadoop Architecture •Work on Big Data Analytics and gain Hands on Project Experience Venue Details: Peridot Systems Kamatchi Krupa Apts, No: 84/8, Ground Floor, Venkatarathinam main street, Venkatarathinam Nagar, LB Road, Adyar, Chennai. Tamil Nadu - .

Hadoop has become a central platform to store big data through its Hadoop Distributed File System (HDFS) as well as to run analytics on this stored big data using its MapReduce component. Hadoop On-Demand Training offers full-length courses on a range of Hadoop technologies Apache Hadoop's scalability,reliability & enhances basic Hadoop by adding data integration services hadoop certification, big data certification training, big data training in chennai, Hadoop hands-on training, Big data hadoop certification training, big data hadoop, certification training, hadoop chennai Hadooptrainingchennai.IN has today grown to be amongst world�s leading talent development companies offering learning solutions to Individuals, Institutions & Corporate Clients. After completion of this course, you will be able to design and implement Big Data solutions to solve complex data problems. Learn the way Industry Wants � Big data training with Production Level Use Cases Hadoop Bigdata training,chennai,India Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20 To register for upcoming classes weekends(Classroom) September - Fast Track (Classroom)- September Online Class - E-Learning Tutorial

HADOOP trainers Required in elegant it services good salary in partime • 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,

Hadoop Big Data Training Attend a free Demo session on BIG DATA ECO SYSTEM What is Hadoop Big Data Training? In the current era of computing technology every thread of information that you receive via the means of the internet is important. It is even more important to be able to make sense out of the data that you get to study the market trends and make informed decisions to ensure that your company makes good business strategies. Hadoop Big Data Training will help you being an expert in the field of data collection and processing using Hadoop application. Course Focus The Hadoop Big Data Training focuses on developing the Hadoop application usage skills. It also allows you to study the current market trends to make informed decisions before investing in a particular business. How Will Hadoop Big Data Training Help You? The field of Big Data Analysis is constantly growing and will help you in going for top-level positions in IT-based companies. The Hadoop Big Data Training will help you in getting jobs at several MNCs that deal with market trends on a daily basis. You can easily get jobs in social media companies that deal with studying the market trends to know about the perfect timing for the launch of a product or an update for an application. The course also involves a project at the end of the completion of training to give you a fair idea about the practical applications of Big Data Analysis. Job Opportunities The Hadoop Big Data training gives a provision for jobs in several IT-based companies which deal with huge chunks of data on a daily basis. You can also get a job in MNC that needs to make decisions after studying the demographics of several countries to make informed choices about business strategies. For further queries, contact 7550194475 Venue Details: No 18, 1st floor, Siddhi Vinayagar Complex, Kalaignar Karunanidhi Road, Sholinganallur. Chennai – 600119.

HADOOP TRAINING INSTITUTE IN CHENNAI ADYAR “PERIDOT SYSTEMS” 8056102481... Peridot systems is the best software and hardware training institute in Chennai with complete placement...call to papitha (8056102481) for more information about the course details. Our main aim is to satisfy the student’s needs and expectations... We provide complete practical training when compare to theoretical training... BENEFITS:  We provide practical oriented training  We provide both weekdays and weekend batches  We provide 45 days training classes  We provide 100% placement guidance HADOOP SYLLABUS:  Introduction to Big Data and Hadoop  Understanding the Cluster  Best Practices for Cluster Setup  Routine Admin procedures  Monitoring the Cluster  Introduction to Distributed systems  The Hadoop Distributed File System (HDFS) For more details information about the course details please contact us, Contact Numbers: 8056102481/9600063484 (papitha) Landline: 044-42115526 Mail to: Papitha.v@peridotsystems.in Website: www.peridotsystems.in TAGS: Hadoop Training Institute in Chennai with Placement |Best Hadoop training in Chennai adyar.

HADOOP TRAINING INSTITUTE IN CHENNAI ADYAR WITH PLACEMENT... Peridot systems is one of the best training institute in Chennai providing more numbers of software and hardware training courses by real time experienced professionals...For more details you need about the course syllabus please contact papitha (8056102481)... “PERIDOT SYSTEMS IS POWER OF VICTORY” Our Official Website: www.peridotsystems.in PERIDOT SUPPORTS:  We provide real time training  We provide online, classroom and corporate training classes  We offer both weekdays and weekend batches  We provide 2 days demo classes HADOOP SYLLABUS: • Introduction to Distributed systems • Introduction to Big Data • Introduction to Hadoop • The Hadoop Distributed File System (HDFS) • Map/Reduce Programming – Java For more details information about the course details please contact us, Contact Numbers: 8056102481/9600063484 , 044-42115526 (papitha) Mail to: Papitha.v@peridotsystems.in Website: www.peridotsystems.in TAGS: Hadoop Training Institute in Chennai with Placement |Best Hadoop training in Chennai adyar.

HADOOP TRAINING INSTITUTE IN CHENNAI... Peridot systems is the leading software and hardware training institute in Chennai adyar with guaranteed placement. Our trainers providing real time based practical training to our students...for more syllabus details contact papitha (8056102481). Our Official Website: www.peridotsystems.in Benefits: • Online and corporate training classes • Weekdays and weekend batches • Company based mini project • Well experienced trainers. HADOOP:  Introduction to Distributed systems  The Hadoop Distributed File System (HDFS)  Hadoop Administration  Map/Reduce Programming – Java For more syllabus details you need contact us, Mobile Numbers: 8056102481/9600063484 Land-Line: 044-42115526 Contact Name: papitha Mail to: Papitha.v@peridotsystems.in TAGS: Hadoop Training Institute in Chennai with Placement |Best Hadoop training in Chennai adyar

Hadoop is an open-source project administered by the Apache Software Foundation. Hadoop's contributors work for some of the world's biggest technology companies. � That diverse, motivated community has produced a genuinely innovative platform for consolidating, combining and understanding data. � Enterprises today collect and generate more data than ever before. Relational and data warehouse products excel at OLAP and OLTP workloads over structured data. � https://www.facebook.com/BigDataTraining http://learnhadoop.in/contact.html Big Data and Hadoop training course is designed to provide knowledge and skills to become a successful Hadoop Developer. � In-depth knowledge of concepts such as Hadoop Distributed File System, Setting up the Hadoop Cluster, Map-Reduce,PIG, HIVE, HBase, Zookeeper, SQOOP etc. will be covered in the course Big Data Weekend Classroom Training in Chennai, Registrations Open Call: +91 https://twitter.com/BigDataInfo Visit Us: #67, 2nd Floor, Gandhi Nagar 1st Main Road, Adyar, Chennai-20 To register for upcoming classes weekends(Classroom) June - Fast Track (Classroom)- June

Hadoop and Bigdata Online & Classroom Training is allocating by SBR Trainings from Hyderabad. We are providing Instructor lead training. They’ve 7+ years of experience in Real time and also we providing live interaction with instructor by 24*7. From our institute pupils can expect services like Course Content, Live Recording Sessions, time flexibility, and live project with assistance, course materials along with Hospitality. Hadoop is open source software, it is developed with java framework for processing Large amount of Data sets. Main concepts in Course: •Introduction to Big Data and Analytics •Introduction to Hadoop •Reporting Tool •HDFS- Hadoop distributed File System •Hadoop Programming Languages •OVERVIEW HADOOP DEVELOPER Do not hesitate ask your query: Phone: +

Hadoop is one of the hot selling courses at ASIT. •Well designed course structure and curriculum. •Excellent Hadoop training in affordable fee structure. •Get a good introduction to Hadoop distributed computing system useful for data processing. •Lifetime access - No limits. •Placement powered by FIRMNXT.COM, FRESHERSWORLD.COM. •This course is suitable for professionals applying to make a career in Bigdata analytics using Hadoop framework. •Be one of the Hadoop professionals, as the Bigdata market revenue will hit the $23.8 billion mark in . Training Hours: 240hrs Fees Structure: Rs. Office: (+ Mobil No: (+91) 0 Wise Machines India Pvt Ltd, # 360, Sri Sai Padma Arcade, Varthur Main Road, Ramagondanahalli, Whitefiled,Bangalore

RCP Technologies is a unique and pioneer institute mainly started with the soul objective of imparting cutting edge, technologically superior and state-of-art, high-end, and career oriented curriculum based courses in Big Data Hadoop and other courses like Data Science, Apache Storm, Spark, Python, Agile, MongoDB, SOA, OSB, Tableau, Cassandra, ADF, Informatica, Obiee, Obia etc. We have trainers who consultants worked in MNC companies. We make sure the best trainers are selected and students gain a lot of knowledge once the training is completed. We don't target lot of students for our training classes but will make sure the exact number of students who are the best fit for carrying out a curriculum are selected. We are not quantity oriented but quality oriented. If you are looking for a professional training in the IT, then we are the best in the business. We have inhouse training facilities along with server setup which makes it a complete corporate environment. For more details call us at share your contact details. What is Hadoop? Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation. Hadoop was born out of a need to process big data, as the amount of generated data continued to rapidly increase. As the Web generated more and more information, it was becoming quite challenging to index the content, so Google created MapReduce in , then Yahoo! created Hadoop as a way to implement the MapReduce function. Hadoop is now an open-source Apache implementation project. Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes. Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure. This approach lowers the risk of catastrophic system failure, even if a significant number of nodes become inoperative. As for the more specific functions, Hadoop has a large scale file system (Hadoop Distributed File System or HDFS), it can write programs, it manages the distribution of programs, then accepts the results, and generates a data result set. Only RCP technologies provides training designed by the leaders and committers of Hadoop. We present valuable real world scenario-based training developed by the core architects, builders and operators of Hadoop with unmatched depth and expertise so that you can be assured you are learning from the experts. RCP technologies is a Interactive Learning Portal started by industry experts with an aim to provide Quality Training in Hadoop Technology. RCP Technologies is offering quality Training services to hadoop to students worldwide. HADOOP Classroom & Online Training by RCP Technologies with an excellent and real time faculty. Our Big Data Hadoop course content designed as per the current IT industry requirement. Apache Hadoop is having very good demand in the market. We provide regular and weekend classes as well as Normal track/Fast track based on the learners requirement and availability Visit us at: RCP technologies Pvt Ltd, #302, Annapurna Block,Aditya Enclave, Near Mitrivanam, Ameerpet, Hyderabad. Helpline:

Best Hadoop Training Institute Hadoop is a free, Java-based programming framework that supports the processing of large data sets in a distributed computing environment. It is part of the Apache project sponsored by the Apache Software Foundation. Hadoop makes it possible to run applications on systems with thousands of nodes involving thousands of terabytes. Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure. This approach lowers the risk of catastrophic system failure, even if a significant number of nodes become inoperative. Hadoop was inspired by Google's MapReduce, a software framework in which an application is broken down into numerous small parts. Any of these parts (also called fragments or blocks) can be run on any node in the cluster. Doug Cutting, Hadoop's creator, named the framework after his child's stuffed toy elephant. The current Apache Hadoop ecosystem consists of the Hadoop kernel, MapReduce, the Hadoop distributed file system (HDFS) and a number of related projects such as Apache Hive, HBase and Zookeeper. The Hadoop framework is used by major players including Google, Yahoo and IBM, largely for applications involving search engines and advertising. The preferred operating systems are Windows and Linux but Hadoop can also work with BSD and OS X. Thanks & Regards, Sky InfoTech Corporate Office: A-50,Sec-64,Noida(U.P) Noida- 0120 4242224, 9717292598/9717292599 Delhi –9717292601/9717292602 Gurgaon – 9810866624/9810866642

mso-bidi-theme-font:minor-latin">Hadoop is an open source platform that provides excellent data management provision. It is a framework that supports the processing of large data sets in a distributed computing environment. It is designed to expand from single servers to thousands of machines, each providing computation and storage.  Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure, which minimizes the risk of catastrophic system failure, even if a significant number of nodes become out of action. Hadoop is very valuable for large scale businesses basing on its proven benefits mso-bidi-theme-font:minor-latin">Hadoop provides more accurate facts and figures. Hadoop supports advanced features like data visualization and predictive analytics in order to provide and represent the useful insights in a best graphical manner. It can help to optimize the performance using a single server and handle huge volume of information. mso-bidi-theme-font:minor-latin">Hadoop is considered affordable for both enterprise and small business which makes it an attractive solution with endless potential. With the passage of time, companies and enterprises are getting closer to Hadoop. They are moving to implement big data to support the marketing and other efforts and resources. Monstercourses Online training which is instructor-led is useful for learning Big Data technology. Also, the training with hands-on projects would give a good grip on the technology. Hadoop started off with just two components i.e. HDFS and MapReduce mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Visit the site for more details mso-bidi-theme-font:minor-latin;color:#0070C0">http://www.monstercourses.com/hadoop-training/ 115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin;color:#0000CC"> 115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Calibri; mso-bidi-theme-font:minor-latin">Contact us: mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">USA:  + line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family: Calibri;mso-bidi-theme-font:minor-latin;color:red">1 772 777 1557 mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin"> & 14.0pt;line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family: Calibri;mso-bidi-theme-font:minor-latin;color:red">+44 702 409 4077 115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Calibri; mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Skype ID: MonsterCourses mso-bidi-theme-font:minor-latin"> 

mso-bidi-theme-font:minor-latin">and storage.  Its distributed file system facilitates rapid data transfer rates among nodes and allows the system to continue operating uninterrupted in case of a node failure, which minimizes the risk of catastrophic system failure, even if a significant Hadoop is an open source platform that provides excellent data management provision. It is a framework that supports the processing of large data sets in a distributed computing environment. It is designed to expand from single servers to thousands of machines, each providing computation number of nodes become out of action. Hadoop is very valuable for large scale businesses basing on its proven benefits mso-bidi-theme-font:minor-latin">Hadoop provides more accurate facts and figures. Hadoop supports advanced features like data visualization and predictive analytics in order to provide and represent the useful insights in a best graphical manner. It can help to optimize the performance using a single server and handle huge volume of information. mso-bidi-theme-font:minor-latin">Hadoop is considered affordable for both enterprise and small business which makes it an attractive solution with endless potential. With the passage of time, companies and enterprises are getting closer to Hadoop. They are moving to implement big data to support the marketing and other efforts and resources. Monstercourses Online training which is instructor-led is useful for learning Big Data technology. Also, the training with hands-on projects would give a good grip on the technology. Hadoop started off with just two components i.e. HDFS and MapReduce mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Visit the site for more details mso-bidi-theme-font:minor-latin;color:#0070C0">http://www.monstercourses.com/hadoop-training/ 115%;mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin;color:#0000CC"> 115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Calibri; mso-bidi-theme-font:minor-latin">Contact us: mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">USA:  + line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family: Calibri;mso-bidi-theme-font:minor-latin;color:red">1 772 777 1557 mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin"> & 14.0pt;line-height:115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family: Calibri;mso-bidi-theme-font:minor-latin;color:red">+44 702 409 4077 115%;mso-fareast-font-family:"Times New Roman";mso-bidi-font-family:Calibri; mso-bidi-theme-font:minor-latin"> mso-bidi-font-family:Calibri;mso-bidi-theme-font:minor-latin">Skype ID: MonsterCourses mso-bidi-theme-font:minor-latin"> 

Bytes Online Training is one of the leading IT training Institutions.Bytes Online Training offers Hadoop Online Training. Our trainers are well experienced and Highly talented in their Respective field. Our team trainer’s expertise in each phase of the e-Learning modules. HADOOP Online Training Course Concepts: 1.What is Hadoop? 2.Distributed file system of Hadoop 3.Map reduction of Hadoop works 4.Hadoop cluster and its anatomy 5.Hadoop demons 6.Master demons 7.Name node 8.Tracking of job 9.Secondary node detection 10.Slave daemons 11.Tracking of task 12.HDFS(Hadoop Distributed File System) 13.Spilts and blocks for More Details Please Contact us: Phone: + USA Line: +