Big Data Hadoop Developer

Department
IT Programs
Method
Online

The Big Data Hadoop Certification course is designed to give you in-depth knowledge of the Big Data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. You will learn to use Pig, Hive, and Impala to process and analyze large datasets stored in the HDFS, and use Sqoop and Flume for data ingestion with our big data training.

You will master real-time data processing using Spark, including functional programming in Spark, implementing Spark applications, understanding parallel processing in Spark, and using Spark RDD optimization techniques. With our big data course, you will also learn the various interactive algorithms in Spark and use Spark SQL for creating, transforming, and querying data forms.

As a part of the big data course, you will be required to execute real-life industry-based projects using CloudLab in the domains of banking, telecommunication, social media, insurance, and e-commerce. This Big Data Hadoop training course will prepare you for the Cloudera CCA175 big data certification.

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Course structure and modules

Big Data Hadoop training will enable you to master the concepts of the Hadoop framework and its deployment in a cluster environment. You will learn to :

Understand the different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark with this Hadoop course.

Understand Hadoop Distributed File System (HDFS) and YARN architecture, and learn how to work with them for storage and resource management

Understand MapReduce and its characteristics and assimilate advanced MapReduce concepts

Ingest data using Sqoop and Flume

Create database and tables in Hive and Impala, understand HBase, and use Hive and Impala for partitioning

Understand different types of file formats, Avro Schema, using Arvo with Hive, and Sqoop and Schema evolution

Understand Flume, Flume architecture, sources, flume sinks, channels, and flume configurations

Understand and work with HBase, its architecture and data storage, and learn the difference between HBase and RDBMS

Gain a working knowledge of Pig and its components

Do functional programming in Spark, and implement and build Spark applications

Understand resilient distribution datasets (RDD) in detail

Gain an in-depth understanding of parallel processing in Spark and Spark RDD optimization techniques

Understand the common use cases of Spark and various interactive algorithms

Learn Spark SQL, creating, transforming, and querying data frames

Prepare for Cloudera CCA175 Big Data certification

Career opportunities

The field of big data and analytics is a dynamic one, adapting rapidly as technology evolves over time. Those professionals who take the initiative and excel in big data and analytics are well- positioned to keep pace with changes in the technology space and fill growing job opportunities. Some trends in big data include:

Global Hadoop Market to Reach $84.6 Billion by 2021 – Allied Market Research

Shortage of 1.4 -1.9 million Hadoop Data Analysts in the US alone by 2018– McKinsey

Hadoop Administrators in the US receive salaries of up to $123,000 – indeed.com