Big Data and Hadoop Training Institute in Chennai


Best Big Data Hadoop Training in Chennai

The amount of data produced by internet is rising every day. Enterprises need highly skilled Hadoop professionals to handle this huge data. Softlogic provides Big Data Hadoop Training in Chennai which is structured to offer you hands-on experience on essential elements of Hadoop Framework including HDFS, Yarn and MapReduce. You will understand how to store and process data on Hadoop cluster through HDFS and MapReduce algorithms.

Best Big Data Hadoop Training Institute in Chennai

A technology that has become one of the major forces for handling Big Data processing is Hadoop. This amazing platform assists in storing, dealing with and retrieving huge sums of data in diverse applications. This also assists in deep analytics. Several organizations are adopting Hadoop, and the demand for Hadoop Developers is seeing a raise. Softlogic’s Big Data Hadoop Training in Chennai will assist you in grasping the crucial aspects and the tools and procedures to make the best use of its power. Enroll with us today for a great career in Big Data Analytics.

Lay the Foundation for an Excellent Career with the Leading Big Data Hadoop Training in Chennai

Technology changes at a swift rate and also the demands in the job scenario. To keep yourself updated you should be aware of the functioning of Big Data Hadoop; you can also be in pace with the changing trends. Controlling data is a challenging task and companies need skilled people to deal with their data to tackle these challenges.

There is a great demand for Big Data Hadoop experts in big companies.  People who can grasp and ace components of Hadoop ecosystems are much in need. The sooner you learn the skill the greater the chance of getting placed in a top organization. This is the exact reason Softlogic, which is the Best Big Data Hadoop Training Institute in Chennai offers you with a holistic course package from fundamental to high-level Hadoop training.

The salary provided to Big Data Hadoop trained participants is high; when you possess an experience of six months to a year then you can get lucrative salary. Hence, the scope of progressing and earning is really big. Learn Big Data Hadoop from Softlogic and enter into your  desired job.

Learning Objectives of Hadoop Training in Chennai

Our Big Data Hadoop Course in Chennai is intended to equip the learners with a complete big data framework using Hadoop with YARN, HDFS, and MapReduce components. The students will learn the Hadoop concepts with practical implementations on real-time projects. The learners will get practiced with various datasets that are stored in HDFS using Sqoop and Flume for data ingestion. Big Data Hadoop Training in Chennai makes proficient and well-versed with the following course benefits for the learners around the world.

  • In-depth knowledge of various parts of Hadoop conditions such as Hadoop 2.7, Impala, YARN, Pig, Hive, HBase, Sqoop, Flume, MapReduce, and Apache Spark.
  • Understanding how to function with HDFS and YARN for limit and resource organization.
  • Learn MapReduce and its qualities to retain advanced MapReduce thoughts
  • Practice data ingestion using Sqoop and Flume.
  • Strong understanding of Pig and its parts.
  • Hands-on practice on functional programming in Spark to execute and create Spark apps
  • Understanding of adaptable spread datasets (RDD) with practical implementations
  • Thorough knowledge in Parallel with Spark and Spark RDD upgrade systems.
  • Experience in the creation of databases and tables in Hive and Impala and Fathom HBase.
  • Fundamental understanding of record positions and Avro schema with Hive, Avro, Sqoop, and Schema Improvement.
  • Strong knowledge in Fathom Flume along with its configuration setup, sources, sinks, channels, and active cases.
  • Practical understanding of HBase along with its outline and data accumulating with RDBMS.
  • Implementation practices with typical use occasions of Spark and distinctive natural estimations.
  • Thorough understanding of Spark SQL for making changes and addressing data diagrams efficiently.

Learn the Best Big Data Hadoop Course in Chennai at Softlogic Systems to gain field exposure through complete hands-on exposure with real-time datasets and industry projects.

Prerequisites to learn Big Data Hadoop Training in Chennai

No hard prerequisites for learning Hadoop Course in Chennai. We are offering in-person classroom-based training and instructor-led online live classes through Softlogic Systems for the benefit of local and global learners. Both freshers and working professionals gain the learning benefits through our Hadoop Training in Chennai and we offer the course with a customized Hadoop Syllabus to provide complete hands-on exposure. However, the following skills are suggested for the learners who are learning through the fast-track mode of Hadoop Classes to enjoy the best coursework.

  • Java Programming Language
  • Understanding of Data Warehousing
  • Good Grasp of Business Intelligence
  • Python, Scala

You would know that Hadoop is written in Java so knowledge of this powerful programming language is essential. Without the knowledge of Java it is quite difficult to learn Hadoop/Big data but it is not an impossible task. You can do so by investing some effort and commitment towards understanding the technology. This would assist you in shaping your career in a good way so as to get an amazing future and accomplish your career goals. Develop your big data skills in our Hadoop Training Institute in Chennai with 100% Placement Assistance.

Who can attend Hadoop Big Data Training in Chennai

Hadoop is the major force of almost very data handling tasks. It’s not a concern whether you belong to an IT background or a Non-IT background. You can become the preferred choice in every organization’s wish list by embracing a Hadoop certification course. Following professionals can gain benefits through our job-focused and best Big Data Hadoop Training Course in Chennai and we are accepting applications from global learners.

  • Analytics Professionals
  • Business Intelligence, ETL, Data Warehousing Professionals
  • Project Managers of IT companies
  • Mainframe Professionals
  • Testing Professionals
  • Software Developers
  • Freshers (Btech, BE, BCA, Mtech, ME)
  • System Administrators
  • Software Testing Professionals
  • Big Data Services Aspirants
  • Architects
  • Senior IT professionals
  • Data Management Professionals
  • Aspiring Data Scientists

What are the pre-requisites for this Course?

To learn Hadoop in any of the Bigdata Hadoop training Institutes in Chennai, it is needed to have sound knowledge in Core Java concepts, which is a must to understand the foundations about Hadoop. Anyhow, Essential concepts in Java will be provided by us to get into the actual concepts of Hadoop. As foundation of Java is very much important for effective learning of Hadoop technologies.
Having good idea about Pig programming will make Hadoop run easier. Also Hive can be useful in performing Data warehousing. Basic knowledge on Unix Commands also needed for day-to-day execution of the software.

How will I execute the Practicals?

The practical experience here at Softlogic will be worth and different than that of other Hadoop training Institutes in Chennai. Practical knowledge of Hadoop can be experienced through our virtual software of Hadoop get installed in your machine.As, the software needs minimum system requirements, with the virtual class room set up learning will be easier. Either with your system or with our remote training sessions you can execute the practical sessions of Hadoop.

Hadoop / Bigdata Course Fee and Duration

The course fees of the leading Big Data Hadoop Training Center in Chennai is reasonable. The student has the flexibility to pay it in two installments. Do you have problem in time and place compatibility? Then don’t hesitate to contact our educational counselor. They will not only help you with the time and place constraints but also give you clarity regarding the duration.

Training Mode

Regular Track

45 – 60 Days

2 hours a day

Live Classroom

Weekend Track

8 Weekends

3 hours a day

Live Classroom

Fast Track

5 Days

6+ hours a day

Live Classroom

This is an approximate course fee and duration for Big Data Hadoop. Please contact our team for current Big Data Hadoop course fee and duration.

Download Hadoop and Big data Course Syllabus

Hadoop / Big Data Training Course Syllabus

The Big Data Hadoop course syllabus from the best Big Data Hadoop training center in Chennai at Softlogic is designed keeping the industry expectations in mind. Though our  foremost concentration is on basic concepts i.e. why Big Data and Hadoop, MapReduce Architecture, HDFS Architecture, etc. we also cover advanced topics including Hadoop Framework, Hive, Pig, Flume, Sqoop, YARN cluster in detail. Keeping in pace with the technology, our trainers will provide you with the updated knowledge regarding challenges of the industry and provide practical experience to students.

Big Data Introduction:
  • What is Big Data
  • Evolution of Big Data
  • Benefits of Big Data
  • Operational vs Analytical Big Data
  • Need for Big Data Analytics
  • Big Data Challenges
Hadoop cluster:
  • Master Nodes
    • Name Node
    • Secondary Name Node
    • Job Tracker
  • Client Nodes
  • Slaves
  • Hadoop configuration
  • Setting up a Hadoop cluster
  • Introduction to HDFS
  • HDFS Features
  • HDFS Architecture
  • Blocks
  • Goals of HDFS
  • The Name node & Data Node
  • Secondary Name node
  • The Job Tracker
  • The Process of a File Read
  • How does a File Write work
  • Data Replication
  • Rack Awareness
  • HDFS Federation
  • Configuring HDFS
  • HDFS Web Interface
  • Fault tolerance
  • Name node failure management
  • Access HDFS from Java
  • Introduction to Yarn
  • Why Yarn
  • Classic MapReduce v/s Yarn
  • Advantages of Yarn
  • Yarn Architecture
    • Resource Manager
    • Node Manager
    • Application Master
  • Application submission in YARN
  • Node Manager containers
  • Resource Manager components
  • Yarn applications
  • Scheduling in Yarn
    • Fair Scheduler
    • Capacity Scheduler
  • Fault tolerance
  • What is MapReduce
  • Why MapReduce
  • How MapReduce works
  • Difference between Hadoop 1 & Hadoop 2
  • Identity mapper & reducer
  • Data flow in MapReduce
  • Input Splits
  • Relation Between Input Splits and HDFS Blocks
  • Flow of Job Submission in MapReduce
  • Job submission & Monitoring
  • MapReduce algorithms
    • Sorting
    • Searching
    • Indexing
    • TF-IDF
Hadoop Fundamentals:
  • What is Hadoop
  • History of Hadoop
  • Hadoop Architecture
  • Hadoop Ecosystem Components
  • How does Hadoop work
  • Why Hadoop & Big Data
  • Hadoop Cluster introduction
  • Cluster Modes
    • Standalone
    • Pseudo-distributed
    • Fully – distributed
  • HDFS Overview
  • Introduction to MapReduce
  • Hadoop in demand
HDFS Operations:
  • Starting HDFS
  • Listing files in HDFS
  • Writing a file into HDFS
  • Reading data from HDFS
  • Shutting down HDFS
HDFS Command Reference:
  • Listing contents of directory
  • Displaying and printing disk usage
  • Moving files & directories
  • Copying files and directories
  • Displaying file contents
Java Overview For Hadoop:
  • Object oriented concepts
  • Variables and Data types
  • Static data type
  • Primitive data types
  • Objects & Classes
  • Java Operators
  • Method and its types
  • Constructors
  • Conditional statements
  • Looping in Java
  • Access Modifiers
  • Inheritance
  • Polymorphism
  • Method overloading & overriding
  • Interfaces
MapReduce Programming:
  • Hadoop data types
  • The Mapper Class
    • Map method
  • The Reducer Class
    • Shuffle Phase
    • Sort Phase
    • Secondary Sort
    •  Reduce Phase
  • The Job class
    • Job class constructor
  • JobContext interface
  • Combiner Class
    • How Combiner works
    • Record Reader
    • Map Phase
    • Combiner Phase
    • Reducer Phase
    • Record Writer
  • Partitioners
    • Input Data
    • Map Tasks
    • Partitioner Task
    • Reduce Task
    • Compilation & Execution

Hadoop Ecosystems

  • What is Apache Pig?
  • Why Apache Pig?
  • Pig features
  • Where should Pig be used
  • Where not to use Pig
  • The Pig Architecture
  • Pig components
  • Pig v/s MapReduce
  • Pig v/s SQL
  • Pig v/s Hive
  • Pig Installation
  • Pig Execution Modes & Mechanisms
  • Grunt Shell Commands
  • Pig Latin – Data Model
  • Pig Latin Statements
  • Pig data types
  • Pig Latin operators
  • CaseSensitivity
  • Grouping & Co Grouping in Pig Latin
  • Sorting & Filtering
  • Joins in Pig latin
  • Built-in Function
  • Writing UDFs
  • Macros in Pig
  • What is HBase
  • History Of HBase
  • The NoSQL Scenario
  • HBase & HDFS
  • Physical Storage
  • HBase v/s RDBMS
  • Features of HBase
  • HBase Data model
  • Master server
  • Region servers & Regions
  • HBase Shell
  • Create table and column family
  • The HBase Client API
  • Introduction to Apache Spark
  • Features of Spark
  • Spark built on Hadoop
  • Components of Spark
  • Resilient Distributed Datasets
  • Data Sharing using Spark RDD
  • Iterative Operations on Spark RDD
  • Interactive Operations on Spark RDD
  • Spark shell
  • RDD transformations
  • Actions
  • Programming with RDD
    • Start Shell
    • Create RDD
    • Execute Transformations
    • Caching Transformations
    • Applying Action
    • Checking output
  • GraphX overview
  • Introducing Cloudera Impala
  • Impala Benefits
  • Features of Impala
  • Relational databases vs Impala
  • How Impala works
  • Architecture of Impala
  • Components of the Impala
    • The Impala Daemon
    • The Impala Statestore
    • The Impala Catalog Service
  • Query Processing Interfaces
  • Impala Shell Command Reference
  • Impala Data Types
  • Creating & deleting databases and tables
  • Inserting & overwriting table data
  • Record Fetching and ordering
  • Grouping records
  • Using the Union clause
  • Working of Impala with Hive
  • Impala v/s Hive v/s HBase
MongoDB Overview:
  • Introduction to MongoDB
  • MongoDB v/s RDBMS
  • Why & Where to use MongoDB
  • Databases & Collections
  • Inserting & querying documents
  • Schema Design
  • CRUD Operations
Oozie & Hue Overview:
  • Introduction to Apache Oozie
  • Oozie Workflow
  • Oozie Coordinators
  • Property File
  • Oozie Bundle system
  • CLI and extensions
  • Overview of Hue
  • What is Hive?
  • Features of Hive
  • The Hive Architecture
  • Components of Hive
  • Installation & configuration
  • Primitive types
  • Complex types
  • Built in functions
  • Hive UDFs
  • Views & Indexes
  • Hive Data Models
  • Hive vs Pig
  • Co-groups
  • Importing data
  • Hive DDL statements
  • Hive Query Language
  • Data types & Operators
  • Type conversions
  • Joins
  • Sorting & controlling data flow
  • local vs mapreduce mode
  • Partitions
  • Buckets
  • Introducing Sqoop
  • Scoop installation
  • Working of Sqoop
  • Understanding connectors
  • Importing data from MySQL to Hadoop HDFS
  • Selective imports
  • Importing data to Hive
  • Importing to Hbase
  • Exporting data to MySQL from Hadoop
  • Controlling import process
  • What is Flume?
  • Applications of Flume
  • Advantages of Flume
  • Flume architecture
  • Data flow in Flume
  • Flume features
  • Flume Event
  • Flume Agent
    •  Sources
    •  Channels
    •  Sinks
  • Log Data in Flume
Zookeeper Overview:
  • Zookeeper Introduction
  • Distributed Application
  • Benefits of Distributed Applications
  • Why use Zookeeper
  • Zookeeper Architecture
  • Hierarchial Namespace
  • Znodes
  • Stat structure of a Znode
  • Electing a leader
Kafka Basics:
  • Messaging Systems
    • Point-to-Point
    • Publish – Subscribe
  • What is Kafka
  • Kafka Benefits
  • Kafka Topics & Logs
  • Partitions in Kafka
  • Brokers
  • Producers & Consumers
  • What are Followers
  • Kafka Cluster Architecture
  • Kafka as a Pub-Sub Messaging
  • Kafka as a Queue Messaging
  • Role of Zookeeper
  • Basic Kafka Operations
    • Creating a Kafka Topic
    • Listing out topics
    • Starting Producer
    • Starting Consumer
    • Modifying a Topic
    • Deleting a Topic
  • Integration With Spark
Scala Basics:
  • Introduction to Scala
  • Spark & Scala interdependence
  • Objects & Classes
  • Class definition in Scala
  • Creating Objects
  • Scala Traits
  • Basic Data Types
  • Operators in Scala
  • Control structures
  • Fields in Scala
  • Functions in Scala
  • Collections in Scala
    • Mutable collection
    • Immutable collection


Job Profiles of Big Data and Hadoop Professionals after getting Big Data Hadoop Training in Chennai

The Big Data domain is rising exponentially with tremendous job opportunities and next-gen innovations. Hadoop is one of the popular technologies used in the Big Data platform and equipping professionals is our primary goal for bridging the skills of global big data industries. If you are passionate to build your career in Big Data Hadoop technology, you must know the roles and responsibilities for various job profiles along with their salary options. Following are the popular job titles that create numerous job openings on famous job portals and we equip every individual according to the requirements of each job profile in our Big Data Hadoop Training Institute in Chennai.

Big Data Architect: Responsible for the complete lifecycle of Hadoop technology that includes requirement analysis, designing of technical architecture, and platform selection. This role involves application design and development, testing of the developed application, and designing the proposed solution. The candidate should have a strong understanding of the pros and cons of the Hadoop platform along with use cases and recommendations. The average salary of a Big Data Architect with Hadoop skills is around US$145,286 per annum. Equip your big data skills in our Hadoop Training in Chennai with Hands-on Exposure to perform well as Big Data Architect in top companies.

Hadoop Data Engineer: Responsible for Hadoop Development along with its scope to deliver various big data solutions for global clients. The role is involved in the designing of solutions on high-level architecture. They must know about technical communications between clients and internal systems. They should be experts in Kafka, Cassandra, and Elasticsearch. The Hadoop Data Engineer will earn around US$135,961 per annum as an average. Discover how to build a cloud-based platform for allowing easy development of new applications through our Big Data Hadoop Training in Chennai with Industry-Valued Certification.

Big Data Analyst: Responsible for implementing Big Data Analytics for evaluating companies as per their technical performance. The role involves proving useful suggestions and recommendations for the system enhancement. They should focus on issues related to the streaming of live data and data migrations and they should collaborate with data scientists and data architects efficiently. The average salary of a Big Data Analyst with Hadoop skills is around US$ 125, 097 per annum. Gain expertise in ensuring the streamlined implementations of services and profiling along with in-depth knowledge in data processing such as parsing, text annotation, and filtering enrichment by learning in our Big Data Hadoop Training in Chennai with 100% Placement Assistance.

Big Data Scientist: Responsible for analytical and statistical programming to collect and interpret well with big data. The role involves utilizing the information to develop data-driven solutions for complicated business challenges. They should work efficiently and closely with stakeholders and organization leaders to help in their data-driven business solutions. The Big Data Scientist is earning around US$100,560 Per year as an average. Equip yourself with mining and analyzing data from various company databases to empower product development, business strategies, and market techniques through our Best Hadoop Course in Chennai.

Database Administrator: Responsible for setting up a Hadoop Cluster, Backup and Recovery, and Maintenance of Hadoop Systems. This role involves keeping track of cluster connectivity and security of Hadoop systems. They are responsible for adding up new users, capacity planning, and screening of Hadoop cluster job performances. The database administrator with Big Data Hadoop skills is earning an average of US$131,691 per annum. Learn to maintain and support with Hadoop Cluster for companies through our experiential-based and Best Hadoop Training in Chennai.

Database Manager: Responsible for strategic thinking of organizational success by developing and managing data-oriented systems for business operations. This role involves ensuring a high level of data quality and accessibility with business intelligence tools and technologies. They are earning around US$ 146,000 per annum as an average. Learn to manage Business Intelligence and Big Data Analytics in our Hadoop Training Institute in Chennai.

Become a skilled Hadoop Engineer after the Big Data Hadoop Training in Chennai from Softlogic

The major responsibility of a Hadoop Engineer is to work in good coordination with the database team, quality analyst team and network team. They supervise the big data applications and also deal with Apache Frameworks, HDFS sites, YARN sites etc When you get training from the Top  Big Data Hadoop Training Center in Chennai you will get the confidence to be a skilled Hadoop Engineer.

Why take up Big Data Hadoop Training in Chennai from Softlogic?

Data is crucial for data management, It is an integral aspect of analysis, Taking into account the current requirement of processing structured, unstructured and semi-structured data the companies move to Big Data. There is no restriction to data storage volume in Big Data Hadoop. There is also the facility of parallel processing through Big Data Hadoop. Softlogic is aware of the significance of Big Data Hadoop and hence provides a comprehensive course.

Best Big Data Hadoop Certification in Chennai  

When you get Big Data Hadoop certification from Softlogic you can boost your career prospects. You can eventually work in a reputed company. Hadoop is the path to a number of big data technologies and Softlogic prepares you in such a way that you become adept in this revolution solution for Big data. We know what the industries demand and make you confident to handle diverse Hadoop roles and titles. Hadoop is an easy platform to learn and if you have the passion to make it big in Hadoop, then Softlogic is your best educator. We know the value of our certification and have the responsibility to provide quality training. Learn Hadoop with us for a fat paycheck. Several domain are being impacted by Hadoop and gaining comprehensive training from Softlogic will make you ready for any job title in this field.

Softlogic makes sure that you learn the current technology from efficient trainers. We are here to fulfill your requirements and assist you learn and progress in your professional and personal life.

Enhance your big data skills by enrolling in our Hadoop Training Institute in Chennai with 100% Placement Assistance and Industry-Accredited Course Completion Certification.