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Data Science & AI

Big Data Analytics Course

The Big Data Analytics Course at Techzit Solutions equips learners to process, analyze, and visualize massive datasets using tools like Hadoop, Spark, Hive, Kafka, and NoSQL. Covering data processing, real-time analytics, and cloud-based solutions, the program blends theory with hands-on projects and case studies. Designed for aspiring analysts, IT professionals, and career changers, this course builds job-ready skills and offers certification to succeed in today’s data-driven world.

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Course overview

Big Data Analytics is one of the most in-demand fields today, helping businesses make smarter decisions by extracting insights from massive datasets. With organizations across industries embracing data-driven strategies, professionals skilled in big data tools and techniques are highly sought after.

At Techzit Solutions, our Big Data Analytics Course is designed to equip you with the knowledge and practical expertise to handle structured and unstructured data efficiently. The program begins with the fundamentals of data processing and progresses to advanced concepts like real-time analytics, distributed computing, and cloud-based big data solutions.

You’ll gain hands-on experience with industry-leading tools such as Hadoop, Spark, Hive, Kafka, and NoSQL databases, along with visualization and reporting techniques. Through real-world projects and case studies, you’ll learn how to manage, analyze, and interpret big data to drive actionable business insights.

Whether you are an aspiring data analyst, IT professional, or someone looking to transition into a high-growth career path, this course will help you build job-ready skills and earn a recognized certification in Big Data Analytics.

  • What is Big Data?
  • Impact of Big Data
  • Parallel Processing, Scaling, and Data Parallelism
  • Big Data Tools and Ecosystem
  • Open Source and Big Data
  • Beyond the Hype
  • Big Data Use Cases
  • Introduction to Hadoop
  • Intro to MapReduce
  • Hadoop Ecosystem 
  • HDFS
  • HIVE
  • HBASE
  • Introduction to Hive
  • Hive Data Types
  • HQL Commands and Uses
  • HiveQL Data Definition and Manipulation
  • Getting Started with Hive
  • Using the Hive View on Ambari
  • Introduction to Pig Latin
  • Pig Data Types
  • Pig Latin Commands and Uses
  • Pig Data Definition and Manipulation
  • Running Pig View on Ambari
  • The Need for Spark
  • Spark Background and Applications
  • The Resilient Distributed Dataset (RDD)
  • Hands-On with the PySpark Library in Python
  • Working with Spark DataFrames and Spark SQL
  • Hands-On with Structured Queries on Spark
  • Need for Processing Streaming Data
  • Introduction to Spark Streaming
  • Hands-On with DStream API
  • Structured Streaming
  • Hands-On with Structured Streaming
  • Overview of the Data Analyst Ecosystem 
  • Types of Data 
  • Understanding Different Types of File Formats
  • Sources of Data
  • Languages for Data Professionals 
  • Overview of Data Repositories
  • RDBMS
  • NoSQL
  • Data Marts, Data Lakes, ETL, and Data Pipelines
  • Foundations of Big Data
  • Big Data Processing Tools
  • Overview of the Data Analyst Ecosystem 
  • Types of Data 
  • Understanding Different Types of File Formats
  • Sources of Data
  • Languages for Data Professionals 
  • Overview of Data Repositories
  • RDBMS
  • NoSQL
  • Data Marts, Data Lakes, ETL, and Data Pipelines
  • Foundations of Big Data
  • Big Data Processing Tools
  • Identifying Data for Analysis
  • Data Sources
  • How to Gather and Import Data 
  • What is Data Wrangling?
  • Tools for Data Wrangling
  • Data Cleaning 
  • Viewpoints: Data Preparation and Reliability
  1.  Data preparation and cleaning
  2. Data modelling and calculation
  3. Interactive visualization elements
  4. Reporting and collaboration.

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Average Salary

4LPA

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13%

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2026-7K+

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Big Data Analytics Certification Training in Chennai

By the end of the course, you’ll earn a recognized certification. Our Certification is designed to boost your professional credibility, making you stand out to recruiters and employers in competitive fields, such as Big Data Analyst, Data Engineer, and Hadoop/Spark Developer. With expert trainers, flexible learning modes, and placement support, Techzit Solutions ensures you are equipped to thrive in the growing field of Big Data Analytics.

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Question & Answers

This course is ideal for graduates, IT professionals, analysts, software engineers, and anyone aspiring to build a career in Big Data and Analytics.

 Basic knowledge of programming and databases is helpful, but not mandatory. Our program starts with fundamentals and gradually moves to advanced concepts.

You’ll work with Hadoop, Spark, Hive, Pig, Kafka, NoSQL databases, and cloud-based platforms like AWS, Azure, and GCP.

Yes. You will work on real-world projects in domains like finance, healthcare, and e-commerce to gain practical exposure.

 Yes. On completion, you will receive an industry-recognized certification from Techzit Solutions in Big Data Analytics.

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