Industry Growth

The global Hadoop Big Data market is projected to grow from US$ 4.91 billion in 2015 to US$ 40.69 billion by 2021, recording a CAGR (Compound Annual Growth Rate) of 43.4% during the forecast period.

Salary Range

Entry-level Engineers earn around ₹6,00,000 per annum. When they go to mid-level, The Engineer's average salary is ₹20,00,000 per annum. Senior engineers earns more than ₹30,00,000 per annum

Hiring Companies

IBM India, Accenture, Oracle, Wipro, Infosys, TCS, HCL

Overview

Big Data refers to voluminous, unstructured, and complex data sets that can’t be processed using traditional data processing software. Such software falls short when it comes to handling big data capture, analysis, curation, sharing, visualization, security, and storage. Due to its unstructured nature, any attempt to use traditional software in big data integration leads to errors and clumsy operations.

What you will learn?

Basics of Hadoop along with Hadoop architecture
Hadoop or HDFS and MapReduce framework
Writing MapReduce programs and install Hadoop clusters
Flourishing in applications for Big Data using Hadoop Technology
Developing YARN programs on the Hadoop 2.X version
Working on Big Data analytics using Hive or Pig and YARN
Advanced usage and Indexing to be made possible using MapReduce integration and HBase
Spark framework and it's functioning
Learn about RDD in Apache Spark
Grasp knowledge of Hadoop development best practices
Scheduling of Job using Oozie
The process to get the Cloudera Spark and Hadoop developer certification

Pricing

Pre-requisites

Programming Skills, SQL Knowledge, Linux

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