Big Data Essentials Training Certification


4 Weeks
Total Duration
Course Price



Introduction to Big Data – What is Big Data, Importance, Problems, Opportunities & More (15 Mins)

  • What Is Big Data
  • Big Data Problems
  • Opportunities
  • Why Data Is Important
  • Past and Historical Data to Make Decisions
  • Real time Examples: E-commerce
  • Big Bank: Big Challenge
  • Customer Churn Analysis
  • Transaction Analysis
  • 5 V's of Big Data
  • Exploding Data Problem
  • Possible Solutions – Scale Up and Scale out
  • Solution for Storing and Processing Big Data – Hadoop
  • Hadoop Introduction

HDFS Big Data –Introduction to the File Sharing System, its Architecture, Design & MapReduce (44 Mins)

  • Big Data Challenges - Revision Motivation Behind Using HDFS Challenges
  • Cost Effective
  • Fault Tolerant
  • Differences Between Normal File System and HDFS
  • Why Hadoop Cluster
  • HDFS Architecture
  • Design Of HDFS
  • Q and A – Section
  • Building Principles
  • MapReduce Introduction
  • Finding Maximum Temperature Example
  • Pseudo Code
  • MapReduce Program Execution

Introduction to Apache Hive with Examples, Code Explanation & Execution (21 Mins)

  • Introduction
  • Hive DDL
  • Example - GeoLocation
  • Hive Example: Code Explanation and Execution

Introduction to Apache Pig with Advantages, Uses & Examples (23 Mins)

  • Introduction
  • Advantages
  • Adages/Philosophy of Pig
  • Use Cases
  • Why Pig?
  • Example - GeoLocation
  • Pig Execution Modes: Local and HDFS Mode
  • Pig Example: Code Explanation and Execution

Introduction to Apache Spark – What is Apache Spark, Installation, Driver, Workers, Examples (20 Mins)

  • Introduction
  • MapReduce vs Spark
  • Spark Installation
  • Spark RDD (RDD in Spark) the Most Active Open Source Project in Big Data
  • Resilient Distributed Datasets
  • Spark RDD - Examples
  • Creating a Spark RDD
  • Spark RDD Driver and Workers
  • Spark Code: Example Explanation and Execution

NoSQL Databases – What is NoSQL, Features, Challenges, Workings (14 Mins)

  • Challenges with traditional RDBMS
  • Features of NoSQL
  • Types of NoSQL
  • Question and Answers
  • Working of NoSQL: CAP

Apache HBase – What is HBase Architecture, Components, Client Coordination & More (9 Mins)

  • What is HBase
  • Components
  • Architecture
  • Coordination Between Client and Hbase
  • Metatable
  • Regionserver
  • Writing to HBase

Introduction to Apache HBase Commands – Structure, Maintenance & More (11 Mins)

  • Firing up HBase
  • Basic Apache HBase Shell Commands
  • Explanation to Command Structure
  • Put and Get
  • Create and Delete
  • Maintaining Version

Introduction to Apache Sqoop – Architecture, Import-Export, Connecting with Mysql (10 Mins)

  • What is Sqoop?
  • Apache Sqoop Architecture
  • Import: HandsOn
  • Connection With Mysql
  • Export: HandsOn

What is Apache Flume – Configuration, Architecture, Agent, Examples (17 Mins)

  • Introduction to Agent
  • Setting Up Flume
  • Example
  • Architecture
  • Explanation to Configuration File
  • Transactions Inside Agent
  • Execution of Agent

Apache Kafka – What is Kafka Architecture, Log Data, Challenges & More (17 Mins)

  • Why is Log Data Important
  • Challenges with Analysis
  • Architecture
  • HandsOn
  • Kafka Vs Traditional System
  • Kafka Vs Log Aggregators
  • Topics and Partitions
  • Consumer Group
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What is this Big Data Essentials Training about?

The Big Data Essentials Training program is a self-paced course that covers all the fundamental concepts and tools in big data. It will make you proficient in HDFS and MapReduce, Hive, Pig, Spark, Flume, Sqoop, and other big data technologies.

Who should take up the Big Data Essentials Training program?

The Big Data Essentials Training program is for anyone interested in big data. It is ideal for aspiring big data engineers/developers. Our students are generally analysts, developers, managers, information architects, researchers, and other working professionals looking to advance in the field of business or big data.

What are the prerequisites for the Big Data Essentials Training?

Basic knowledge of databases, Java and SQL would be useful during the Big Data Essentials Training.

What are the software and hardware requirements?

• Microsoft® Windows® 7/8/10 (32- or 64-bit).
• 4GB RAM minimum, 8 GB RAM (recommended).
• Intel Core i3 or higher processor.
• Internet speed: Minimum 1 Mb/s.
• Intel® VT-x (Virtualization Technology) enabled.

What are the objectives of the Big Data Essentials Training program?

The Big Data Essentials Training program is built to bestow a comprehensive idea about Big Data frameworks. It uses Hadoop and Spark, as well as HDFS and MapReduce. In our Big Data Essentials HDFS MapReduce and Spark RDD (RDD in Spark) training program, you will study the use of Pig and Hive for processing and scrutinize large datasets stored in the HDFS. Also, as a part of the big data course, you must execute realistic, industry-based project work.

How can Acadgild’s Big Data Hadoop Essentials Training help my career?

Whether you are a seasoned professional, fresher or someone seeking to upskill in new technologies. This big data training should help you gain insight into the real-world use cases of big data. Additionally, with Hadoop knowledge you gain from the big data training will unfold new career options and transitions to more challenging roles.
What’s more exciting is that all industries are already showing interest in Hadoop and big data. They are eager to learn from their data and prepare solutions that will help them gain a competitive edge in their industry. We at Acadgild deliver both offline and online big data training to can reach to students from any corner of the world. Enroll Now for the course Big Data Essentials HDFS MapReduce and Spark RDD Training.

What are the objectives of the Big Data Hadoop and apache spark certification?

The Big Data Hadoop and apache spark certification course is built to bestow a comprehensive idea about Big Data frameworks. It uses Hadoop and Spark, as well as HDFS, YARN, and MapReduce. In our Big Data Hadoop and apache spark certification program, you will study the usage of Pig, Hive, and Impala for processing and scrutinize large datasets stored in the HDFS. Also, as a part of the big data course, you must execute realistic, industry-based project work.

How relevant is the Big Data Essentials Training for freshers?

The digital age is evolving at a rapid pace. Therefore, it is essential to keep up to date about the latest developments in data sciences. Data analysts and programmers who have completed Big Data Essentials Training are sought after by premier organizations. Big data is both the present and the future. The big data and Hadoop training is considered to be at the forefront of the evolution of the field. It would not be a stretch to say that a big data career for freshers would be lucrative.

What are few popular companies using Hadoop?

Yahoo! - the biggest contributor to the creation of Hadoop – uses Hadoop, Facebook – Developed Hive for analysis, Amazon, Netflix, Adobe, eBay, Spotify, Twitter, Adobe and many more.

What separates Data Scientists from Big Data Developers?

Data scientists work with data according to business needs. They are responsible for data analysis. Big data developers design and implement programs that make the analysis possible.

What is the difference between Big Data Analytics & Big Data Engineering?

Big Data Engineering includes all processes that aim to increase the accessibility of data from various sources and optimize it for analysis. Big Data Engineers use tools like Hadoop, MapReduce, NoSQL and MySQL for their tasks.
Big Data Analytics, on the other hand, focuses primarily on the process of data analysis. It involves creating reports that include graphs and infographics to effectively communicate insights from data. Data Analysts use programs like SQL, Hive, Pig, Matlab, R, Excel, etc.

How much do Big Data Developers earn?

Big Data Developers earn Rs 5,50,000 on average according to Glassdoor. Experienced Big Data Developers make as much as Rs 17,00,000 - 20,00,000.

How will Acadgild make me a Big Data expert?

Acadgild is a leading tech education website that provides expertise in big data education. Students of Acadgild also are offered round the clock services and support including lifetime access to course material as well as internationally recognized certification. They receive around 25 hours of expert training from industry mentors and over 50 hours of cases and projects from the industry to help ensure what is learnt can be applied. In addition to these services, Acadgild also ensures that the quality and efficiency of videos are world class. With this, we have ensured that all students are given the best big data essentials training material, support and instructions possible. Acadgild's big data essentials training is also designed to get the best out of those attending the classes.

How does Acadgild ensure practical experience is gained through its big data essentials training online?

Acadgild offers a comprehensive and in-depth understanding of the various aspects of Big Data through its Big Data Essentials HDFS MapReduce and Spark RDD (RDD in Spark) training self-paced program. Anyone looking forward to work in the Big Data realm will need a host of skills. Acadgild is an institute that hosts both classroom big data training as well as big data training online, with skilled trainers with years of professional experience. We also understand that big data training online should be imparted through hands-on projects and cases studies on big data. Thus, making the students of big data training truly proficient with necessary skills.

How do I pay the Big Data course fees?

You can pay the Big Data Essentials Training fees after registering for the course. We accept most credit and debit cards. You can also pay via net banking. Our payment portal has an EMI option if you wish to pay in installments.

What is the Refer and Earn program?

Our ‘Refer and Earn’ program gives you a discount on the course fees when your references join us. You may refer students by writing to us at The details of the Refer and Earn policy can be found at

How do I request for more information?

You can write to us at with your contact details. Our representatives generally respond to requests within 24 hours.