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Technology Training · Data & Analytics

Big Data Training

Process large data sets with distributed systems — Hadoop concepts, Apache Spark, data lakes and streaming.

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  • Apache Spark
  • PySpark
  • Hadoop
  • Hive

Course overview

Big Data Training Overview

Big Data training explains how organisations store and process data that is too large or fast for a single machine.

You learn distributed storage and processing concepts, work with Apache Spark for batch and streaming workloads, and understand data lake architectures and the cloud services used to run big data platforms.

Course syllabus

What You'll Learn in Big Data Training

  • Big data concepts — volume, velocity and variety
  • Distributed storage and HDFS concepts
  • Hadoop ecosystem overview
  • Apache Spark architecture
  • Spark DataFrames and Spark SQL
  • PySpark for data processing
  • Streaming data with Kafka and Spark Streaming
  • Data lakes and file formats (Parquet, ORC)
  • Big data on the cloud
  • Performance tuning basics

Tools & technologies

Tools & Technologies Covered

  • Apache Spark
  • PySpark
  • Hadoop
  • Hive
  • Apache Kafka
  • SQL
  • Cloud data services

Who should join?

Who Should Join Big Data Training?

  • Data engineers

    Build skills for large-scale data processing.

  • Developers

    Move into data platform engineering.

  • Data analysts

    Work with data sets beyond spreadsheet scale.

  • Database professionals

    Extend your SQL skills to distributed systems.

Prerequisites: Basic programming (preferably Python) and SQL knowledge are recommended.

Career paths

Career Opportunities After Big Data Training

Common roles for professionals with Big Data skills:

  1. 01Big Data Engineer
  2. 02Spark Developer
  3. 03Data Engineer
  4. 04Data Platform Engineer
  5. 05Hadoop Developer

Career outcomes depend on your background, practice and the job market. We focus on practical skills and do not promise guaranteed placement.

FAQ

Big Data: Frequently Asked Questions

What will I learn in the Big Data course?

The Big Data training covers big data concepts — volume, velocity and variety, distributed storage and HDFS concepts, hadoop ecosystem overview, Apache Spark architecture, Spark DataFrames and Spark SQL, PySpark for data processing, streaming data with Kafka and Spark Streaming, data lakes and file formats (Parquet, ORC), big data on the cloud and performance tuning basics.

Which tools are covered in Big Data training?

You will work with Apache Spark, PySpark, Hadoop, Hive, Apache Kafka, SQL and Cloud data services.

Who can join the Big Data course?

The course suits data engineers, developers, data analysts and database professionals. Basic programming (preferably Python) and SQL knowledge are recommended.

What jobs can I apply for after learning Big Data?

Common roles include Big Data Engineer, Spark Developer, Data Engineer, Data Platform Engineer and Hadoop Developer. Career outcomes depend on your background, practice and the job market.

How do I get the Big Data syllabus, duration, fees and batch details?

Contact us on WhatsApp or through the enquiry form and our team will share the current Big Data syllabus, course duration, fees and upcoming batch details.

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Talk to our team about the Big Data syllabus, course duration, fees and upcoming batch details.

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Big Data course | Apache Spark course | Hadoop training | PySpark course

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