Big Data Online Course

Big Data Online Course Training in Chennai

Learn Big Data Analytics using Hadoop and Apache Spark at NeedInTech, one of the leading Big Data online course training institutes in Chennai, offering experienced faculty, real-world projects, and job placement assistance to help you become a big data engineer.

Our Big Data Hadoop course covers the most important tools and technologies in the field, including SQL, NoSQL, Hadoop, Spark, and Cloud computing. Whether you are looking for Spark training in Chennai or a full Hadoop certification program, you can attend this Big Data Hadoop certification training course through our classroom or online training with an instructor.

NeedInTech’s Big Data course in Chennai is taught by industry experts. As a Big Data analytics course covering real enterprise tools, it includes everything you need to know about MapReduce, Hive, Pig, HBase, Spark, Oozie, Flume, Sqoop, HDFS, and YARN.

Big Data Hadoop Certification Course Syllabus

Module 1: Introduction to Big Data Hadoop Certification

• High Availability
• Scaling
• Advantages and Challenges

Module 2: Introduction to Big Data

• What is Big data
• Big Data opportunities and challenges
• Characteristics of Big data

Module 3: Hadoop Overview

• Hadoop Distributed File System
• Comparing Hadoop and SQL
• Industries using Hadoop
• Data Locality
• Hadoop Architecture
• MapReduce and HDFS
• Using the Hadoop single node image (Clone)

Module 4: Hadoop Distributed File System (HDFS)

• HDFS Design and Concepts
• Blocks, Name Nodes, and Data Nodes
• HDFS High Availability and HDFS Federation
• Hadoop DFS: The Command-Line Interface
• Basic File System Operations
• Anatomy of File Read and File Write
• Block Placement Policy and Modes
• Configuration files in detail
• Metadata, FS image, Edit log, Secondary Name Node, and Safe Mode
• Adding and decommissioning Data Nodes dynamically without stopping the cluster
• FSCK Utility and Block Report
• Overriding default configuration at system level and programming level
• HDFS Federation
• ZooKeeper Leader Election Algorithm
• Exercise and small use case on HDFS

Module 5: MapReduce

• MapReduce Functional Programming Basics
• MapReduce basics and how MapReduce works
• Anatomy of a MapReduce Job Run
• Job Submission, Initialisation, Task Assignment, Task Execution, Progress and Status Updates
• Job Completion and Failures
• Shuffling and Sorting
• Splits, Record Reader, Partition, Types of Partitions, and Combiner
• Optimisation Techniques: Speculative Execution, JVM Reuse, and Number of Slots
• Types of Schedulers and Counters
• Comparisons between Old and New API at code and architecture level
• Getting data from RDBMS into HDFS using custom data types
• Distributed Cache and Hadoop Streaming (Python, Ruby, and R)
• YARN
• Sequential Files and Map Files
• Enabling Compression Codecs
• Map Side Join with Distributed Cache
• Types of I/O Formats: Multiple Outputs and NLineInputFormat
• Handling small files using CombineFileInputFormat

Module 6: MapReduce Programming in Java

• Word Count in MapReduce in standalone and pseudo-distribution mode
• Sorting files using Hadoop Configuration API
• Emulating grep for searching inside a file in Hadoop
• DBInputFormat
• Job Dependency API
• InputFormat API and Split API
• Custom data type creation in Hadoop

Module 7: NoSQL

• ACID in RDBMS and BASE in NoSQL
• CAP Theorem and types of consistency
• Types of NoSQL databases in detail
• Columnar databases in detail: HBase and Cassandra
• TTL and Bloom Filters

Related Courses at NeedinTech

Big Data training connects naturally with several other courses in our curriculum. These are the ones that pair best with it:

• Java prerequisites for Hadoop: Build the Java foundation that underpins Hadoop MapReduce development
• R programming training: Analytics and data science skills that pair well with Big Data engineering
• AWS for cloud data: Cloud infrastructure skills that pair with Big Data engineering and Spark workloads
• Placement assistance: Explore NeedinTech placement support and outcomes