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Big Data Hadoop Spark Developer (BDHS)

Live Online (VILT) & Classroom Corporate Training Course

The Big Data Hadoop training course will teach you the concepts of the Hadoop framework, its formation in a cluster environment, and prepares you for Cloudera's Big Data certification.

Expert-Led VILT & Classroom Hands-On CloudLabs Certification Voucher Available
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Overview

With this Big Data Hadoop course, you will learn the big data framework using Hadoop and Spark, including HDFS, YARN, and MapReduce. The course will also cover Pig, Hive, and Impala to process and analyse large datasets stored in the HDFS and use Sqoop and Flume for data ingestion.

Objectives

At the end of BDHS training, participants will be able to understand:

  • The different components of Hadoop ecosystem such as Hadoop 2.7, Yarn, MapReduce, Pig, Hive, Impala, HBase, Sqoop, Flume, and Apache Spark
  • Hadoop Distributed File System (HDFS) and YARN architecture
  • MapReduce and its characteristics and assimilate advanced MapReduce concepts
  • Different types of file formats, Avro schema, using Avro with Hive, and Sqoop and Schema evolution
  • Flume, Flume architecture, sources, flume sinks, channels, and flume configurations
  • HBase, its architecture and data storage, and learn the difference between HBase and RDBMS
  • The common use cases of Spark and various interactive algorithms

Prerequisites

There are no prerequisites for this course. However, it’s beneficial to have some knowledge of Core Java and SQL.

Course Outline

  • Apache Hadoop Overview
  • Data Processing
  • Introduction to the Hands-On Exercises

  • Apache Hadoop Cluster Components
  • HDFS Architecture
  • Using HDFS

  • YARN Architecture
  • Working With YARN

  • What is Apache Spark?
  • Starting the Spark Shell
  • Using the Spark Shell
  • Getting Started with Datasets and DataFrames
  • DataFrame Operations

  • Creating DataFrames from Data Sources
  • Saving DataFrames to Data Sources
  • DataFrame Schemas
  • Eager and Lazy Execution

  • Querying DataFrames Using Column Expressions
  • Grouping and Aggregation Queries
  • Joining DataFrames

  • RDD Overview
  • RDD Data Sources
  • Creating and Saving RDDs
  • RDD Operations

  • Writing and Passing Transformation Functions
  • Transformation Execution
  • Converting Between RDDs and DataFrames
  • Key-Value Pair RDDs
  • Map-Reduce
  • Other Pair RDD Operations

  • Datasets and DataFrames
  • Creating Datasets
  • Loading and Saving Datasets
  • Dataset Operations

  • Writing a Spark Application
  • Building and Running an Application
  • Application Deployment Mode
  • The Spark Application Web UI
  • Configuring Application Properties

  • Review: Apache Spark on a Cluster
  • RDD Partitions
  • Example: Partitioning in Queries
  • Stages and Tasks
  • Job Execution Planning
  • Example: Catalyst Execution Plan
  • Example: RDD Execution Plan

  • Apache Spark Streaming Overview
  • Creating Streaming DataFrames
  • Transforming DataFrames
  • Executing Streaming Queries
  • Receiving Kafka Messages
  • Sending Kafka Messages

Testimonials

Shamsudeen Bawa

Synergific Software Team has been very supportive, and working with them has been a best decision that we could ever made, They are just a call away. You guys are AWESOME, Thank You, Keep up the Good Work!!!

Shamsudeen Bawa

Vice President, J.P Morgan, CIS, USA

Farhan Hafiz

Synergific Software has been of great help and I plan to continue to use your services in the future for my business needs.

Farhan Hafiz

Data Architect, Fiserv

Dr. Sahdev Singh

I think Synergific Software is great. I liked that it was hassle free and easy to set up. Again, it's a great feature for a fast and cheap set up, which gives me peace of mind, as I know have a terms of use agreement.

Dr. Sahdev Singh

Under Secretary, Ministry of Law & Justice, Govt. of India

M Chikanna Swamy

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M Chikanna Swamy

Director & Learning Head, Mindtree

Why Synergific

The Synergific Training Advantage

Expert Instructors

OEM-certified trainers with 10+ years avg enterprise experience.

Hands-On CloudLabs

Real AWS, Azure & GCP environments. Practice, don't just watch.

Certification Vouchers

1,100+ official vouchers from 50+ OEMs at enterprise pricing.

Flexible Scheduling

VILT, classroom, weekends. Custom schedules for enterprise teams.

500+
Enterprises
50K+
Trained
95%
Satisfaction
92%
Pass Rate
FAQ

Frequently Asked Questions

What delivery formats are available?

We offer Live Online (VILT), in-person classroom at your premises or ours, and self-paced via our LMS. Custom blended formats are also available for enterprise teams.

Is a certification voucher included?

Certification vouchers can be included or purchased separately at enterprise pricing from our store (store.synergificsoftware.com). We offer 1,100+ vouchers from 50+ OEMs.

Can this course be customized for my team?

Absolutely. We customize curriculum, labs, case studies, and assessments to match your tech stack, team level, and business goals. Contact us for a custom proposal.

Do participants get hands-on lab access?

Yes. All courses include CloudLab access — real AWS, Azure, or GCP environments with pre-configured tools, time-boxing, and automatic cleanup.

What is the minimum batch size?

For public batches, individuals can enroll (no minimum). For custom in-house training, we recommend a minimum of 5 participants for the best experience.

Do you provide post-training support?

Yes. Participants get 30-day post-training Q&A access, session recordings (for VILT), and continued CloudLab access for practice.