Why learnBig Data and Hadoop?

IDC predicts that Big Data Technology and Services Market will grow at 26.4 % annually to $41.5 billion through 2018. Hadoop is the leading Big Data Platform used by most of the organizations globally and Hadoop professionals typically command salaries in excess of $110 K!

Every day, 2.5 quintillion bytes of data get created globally.Demand for Hadoop and related technologies are projected to exceed supply by more than 50 percent by 2018. The exponential growth in data across various industriesand advanced processing capabilities present Big Data and Hadoop Professionals with sought after positions for deriving valuable insights from big data analysis.
Having Big Data and Hadoop Developer Certification can accelerate your career in Analytics and Data Engineering. Through this course, you will be able to understand the capabilities of Hadoop for processing large volumes of data with various industry use cases. Starting as a Hadoop Developer, one can choose varied career options as Data Analysts, Hadoop Administrators, Big Data Architects or Data Scientists.

Who should join Big Data and Hadoop Certification?

• This course is designed for individuals seeking to gain expertise in the concepts of big data, tools and the platform of Hadoop needed for processing large data sets.
• If you are an IT professional with a minimum of 2 year’s experience in programming with an interest in developing a career in analytics, this course is a good place to start.
• If you are from other technology backgrounds and have a need to work on big data to derive insights, this course will be of help.
• Professionals working in Data Warehousing / Mining technologies will be able to advance their career in Big Data Engineering and Data Science roles.

Prerequisites for Big Data and Hadoop online training

Though not mandatory, basic knowledge of Java or other programming language is recommended.

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Srinivas Kopparapu is an internationally recognized faculty, with 31 years of industry experience. He is a  Franklin Covey Certified faculty and an evangelist of Big Data, Hadoop, Mark Logic (Enterprise NoSQL Database), Bitcoin, Java, Python, .NET, SQL Server and Oracle . Srinivas has also been an entrepreneur for more than a decade and consulting many Information Technology firms.  Presently, he is serving as Vice President Asia Pacific Project Delivery Management at Broad Ridge Financial Solutions (India) Private Limited, Hyderabad. He has held many Certification including but not limited to Microsoft Certified Systems Engineer (MCSE), Microsoft Certified Solution Developer (MCSD – Web & Application), Microsoft Certified Database Administrator (MCDBA) and Java Certified Programmer and PMP.

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WHAT YOU GET

  • 48 hours of Live Instructor Led Online sessions
  • 6 months of Free Access to e-learning library (LMS)
  • 40 hours Hands-on projects execution
  • Access to On Demand support by experts
  • Get completion certificate in Big Data & Hadoop

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  • 232 Lessons.

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Course Contents for Big Data and Hadoop Online Training

  1. Brief background of Hadoop
  2. Apache Hadoop and evolution
  3. Data storage and Analysis
  4. Comparison with (Relational Data Base Management System) RDBMS.
  1. Counters
  2. Sorting
  3. Joins
  4. Side data distribution
  5. MapReduce Library Classes
  1. MapReduce Types
  2. Input formats
  3. Output formats
  1. Anatomy of a Map Reduce Job RUN
  2. Failures
  3. Job Scheduling
  4. Shuffle and Sort
  5. Task execution
  1. HDFS concepts
  2. The design of HDFS
  3. Hadoop File systems
  4. The command line interface
  5. The java interface
  6. Data Flow
  1. Data Integrity
  2. Compression
  3. Serialization
  4. File based data structure
  1. Cluster specification
  2. Cluster setup and Installation
  3. Hadoop Configuration
  4. Security
  5. Hadoop in the cloud
  1. Persistent data structure
  2. Monitoring
  3. Maintenance
  1. Basic features of Hive
  2. Comparison with traditional databases
  1. Basics of Hbase
  2. Comparison with traditional databases
  1. Basics of Pig
  2. Comparison with Hive as well as with other programming languages
  1. Basics of Sqoop
  2. Understanding purposes and utilisation
  1. Basics of Scala
  2. Comparison with Java
  1. Basics of Spark and programming in Spark
  2. Understand the different ways Spark uses Hadoop

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FAQs

This course is designed for individuals seeking to gain expertise in the concepts of big data, tools and the platform of Hadoop needed for processing large data sets. However, basic understanding of Java or some programming is recommended.

It is not mandatory that you need a technical background to learn Hadoop. If you have a need to derive insights from large volume of data in your current job or if you like to switch to a career in Data Science or Analytics, this course will help you.

A certification in Big Data & Hadoop can definitely complement your job search. However having a few years’ experience will be an added advantage for most of the practical implementation of Hadoop.

Definitely! In fact you can consider Hadoop Administration roles who manages infrastructure, Hadoop Clusters etc.

While a basic working knowledge of Java will be of help, it is not mandatory to know Java programming for learning Hadoop. Some of the Hadoop components like Pig, Hive etc. can be learned without knowledge of Java. There are some rare requirements to use Java which can be learned easily.

The purpose of the course is to provide high level understanding and the capabilities of Hadoop (MapReduce, HDFS), Hive, HBase, Pig, Sqoop, Scala & Spark for processing large volume of data workloads with various industry use cases.

Yes. During the course, we will provide you instructions to install Hadoop and associated tools.