Big Data & Hadoop

Become a Expert & Specialization in Big Data & Hadoop

100% Placement Assistance | 1000+ Hiring Partners

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About Big Data & Hadoop

Big Data is emerging as a significant source of business because of Hadoop, Spark and NoSQL technologies to accelerate big data processing. Every day, the world generates 2.99 quintillion bytes of information. The data are growing exponentially on Customer data, sales data, and stocks data, Email, social network links, and instant messages spew from a billion personal devices. Still more data is being collected in the format of Text, photos, music, and video divide and multiply in constant digital world. That’s Big Data. Big Data solutions are designed to capture, process, store, and analyze data so that the right person gets the right information, at the right time.

Who Need This Training?
Fresher’s / Experienced / Diploma / Graduate /Post-Graduate in any Stream.
Duration
450 Hrs (2hrs/Day 12 Months, 4hrs/Day 6 Months or 8hrs/Day 3 Months).
Course Fee Details
$325

Course Overview

  • This course will provide support on Preparing Hadoop Pre-Installed Environment for the industry requirement where everyone can work with the set of technology tools (and analysis techniques) that are built on these “Big Data” environments.

  • Deep understating about Hadoop Distributed file system or HDFS.

  • Providing specific privileges to a user that enables that user to administer Ambari.

  • This course offers you to learn about data fundamentals using Office 365 Excel, MySQL, PostgreSQL, MongoDB very detailed with real time data. Users can learn so many practical applications of pivot tables and Formulas, Function, Queries, Filtering data, String operations, Constraints, Partitioning and Charting.

  • Also this course offers you the deep knowledge into Data ingestion, Data transformation and Data analysis such important role on Sqoop in Hadoop ecosystem.

  • Understating and developing a software framework that allows process massive amounts of unstructured data in parallel across a distributed cluster of processors or stand-alone computers.

  • Implementing the advanced concept of Pig as a boon for programmers who were not good with Java or Python.

  • Implementing the advanced concept of Hive data warehouse system which used for analyzing structured and semi-structured data.

  • Understanding the features of Flume tool for data ingestion in HDFS. This course will provide a fundamental of Storm and Kafka use.

  • Implementing the advanced concept Apache Spark and Scala for parallel processing and data analytics applications across clustered systems.

  • Enterprises are now looking to leverage the big data environment require Big Data Architect who can design and build large-scale development and deployment of Hadoop applications.

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