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Big Data using Hadoop & Spark Course Training

Become a Big Data developer and get familiarized with the architecture of the Distributed Framework.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 40+ Hours of Intensive Classroom & Online Sessions
  • 2 Capstone Live Projects
  • Receive Certificate from Technology Leader - IBM
  • Receive Certificate from Top University - UTM, Malaysia
  • Job Placement Assistance
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"Demand for the fast-growing new roles of data scientist, data developers, and data engineers will increase to 700,000 openings annually by 2020." - (Source). Companies today have realized the gravity of a data-driven business approach to help them examine the stream of collected information and provide valuable insight. Therefore, the need for talented candidates with data skills will only grow by leaps and bounds as we continue to digitize our ecosystem. The rapid scale of digital penetration over the last 10 years has changed the landscape of our universe. The size of the digital universe was roughly 140 billion gigabytes in 1995. In 2020 this number will swell to 50 trillion gigabytes. In this scenario, millions of new workers are needed to manage this digital world and companies will vie with each other for hundreds of thousands of workers.

Big Data

Program Cost

INR 33,700 23,600/-

Big Data Training Overview

Migrating to Big Data is inevitable for Organizations in the Information age. Big Data Hadoop training course combined with Spark training course is designed to give you in-depth knowledge of the Distributed Framework was invited to handle Big Data challenges. The Hadoop training along with its Eco-System tools and the super-fast programming framework Spark are explained, including the basics of Linux OS which is treated as the Server OS in industry. You will also learn to use Pig, Hive, Python and Spark to process and analyse large datasets stored in the HDFS and also learn to use Sqoop for data ingestion from & to RDBMS and Big Data based Database - HBase which is a No-SQL Database. The best Spark training institute will help you master in processing real-time data using Spark. Implementing Spark applications, understanding parallel processing in Spark using Spark RDDs and Sparks capabilities in Big Data environment. There is a huge shortage of professionals in the area of Big Data, make the best use of time to cease the opportunity.

Big Data Course Learning Outcomes

This course gives you an outlook towards the various techniques facilitating data analytics on huge datasets. Learners will assess the application of these technologies that provide scalable systems for storing and processing huge amounts of data. This Big Data Hadoop and Spark course helps the student understand what Big Data is and how Hadoop solves Big Data problems. Due importance is given to the Hadoop Ecosystem, Hadoop Architecture, HDFS, and the working of MapReduce. This Big Data Hadoop and Spark course will make the aspirant familiar with the installation of Hadoop and Hadoop Ecosystem employed to store and process Big Data. The merits of a distributed batch processing using HDFS is also explained as a part of the course. Students will be comfortable using Apache Pig, Hive, and MapReduce. They will be introduced to the NoSQL database as well. They will learn the many facets of the popular data ingestion tool SQOOP and understand the functioning of the centralized repository - Zookeeper. Finally, they will learn the functionality of Apache Spark, the Spark Context, and Spark RDD. In the span of this course, they will become very comfortable working with structured and unstructured data. This is truly the best Big Data Hadoop and Spark course in India

Be able to install, setup Hadoop, Hadoop Eco-system tools & Spark environment for storing and processing the data
Be able to understand the advantages of distributed batch processing for storage using Hadoop Distributed File System (HDFS)
Be able to understand the differences in Hadoop 1x and Hadoop 2x version and the advantages of the latest version (3x)
Be able to perform exploratory queries on data batches using Pig, Hive and Spark
Be able to understand the differences between SQL and No-SQL Database systems
Be able to understand Spark RDD optimization techniques
Be able to write programs in Big Data domain as per system architecture

Block Your Time

big data analytics training

40 hours

Classroom Sessions

big data analytics course

80 hours

Assignments &

big data analytics certification - 360digitmg

80 hours

Live Projects

Who Should Sign Up?

  • Candidates aspiring to get into Big Data Analytics
  • Analytics professionals, Business Analysts, Software developers
  • Graduates looking for a career in Data Science and related fields
  • Professionals who want to shift to Big Data
  • Professionals who add Big Data skills to their profile

Big Data Course with Hadoop Spark Modules

In this module while working with Hadoop, you will learn about Hadoop Cluster Architecture and Data Loading techniques using SQOOP. The Hadoop MapReduce framework is demystified and the working of MapReduce on data stored in HDFS is explained. A core module on Apache Pig, Pig Latin scripting, Pig running modes, Pig UDF, Pig Streaming, and Testing is included. The data warehousing tool Hive and loading and querying data in Hive is also elaborated. The concluding modules talk about the challenge of processing distributed data with Apache Spark. The modules illustrate the features of Apache Spark, Spark Context, and Spark Ecosystem. Students will also learn to work with RDD in Spark and use the Mllib feature in Spark.

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