Big Data Analytics

The Big Data Analytics course provides a comprehensive understanding of the techniques and tools used to analyze large datasets. Learn how to harness the power of big data to drive business decisions, uncover insights, and create value.

“Unlock the Potential of Big Data” 

Dive into the world of big data with our in-depth course, designed for data enthusiasts, analysts, and business professionals. Whether you’re looking to enhance your analytical skills or lead data-driven projects, this course equips you with the knowledge and tools to excel.

Who’s This For?

• Data Analysts
• Business Intelligence Professionals
• IT Professionals
• Business Managers

Why This Course?

• Expert Insights: Learn from leading big data practitioners.
• Practical Learning: Hands-on projects and real-world case studies.
• Comprehensive Coverage: From data collection and storage to advanced analytics and visualization.
• Future-Ready: Prepare for the evolving landscape of big data technologies.

You Will Learn To:

• Understand the fundamentals of big data and its applications.
• Use big data tools and technologies like Hadoop, Spark, and NoSQL databases.
• Analyze and interpret large datasets to uncover insights.
• Visualize data effectively to support decision-making.

Course Features:

• Engaging sessions with industry experts.
• Curated Readings: In-depth materials to support video lessons.
• Interactive Quizzes: Test your knowledge after each module.
• Practical Assignments: Apply your learning to real-world big data challenges.

Outcome: 

Graduates of this course will be equipped to analyze large datasets, derive actionable insights, and drive business growth through data-driven strategies.

Enroll Now and Become a Big Data Analytics Expert!

Week 1 : Introduction to Big Data and Hadoop

• Introduction to Big Data, Big Data Analytics
• Big data Hadoop Ecosystem and Components
• Big data Cloudera VM installation

Week 2 : HDFS (Hadoop Distributed File System)

• HDFS Concepts
• Hadoop file system interfaces,
• Data Ingest with Flume and Scoop and Hadoop archives
• Hadoop I/O: Compression, Serialization, and File-Based Data structures.

Week 3 : Hive with Sqoop

• Big data MapReduce intro and hands on
• Big data Intro to Hive and HiveQL
• Big data SQOOP intro and hands on
• Big data Case study – Hive and SQOOP

Week 4 : Introduction to Apache Spark and PySpark

• Big data SPARK architecture and advantages
• Big data SPARK SQL streaming and SCALA
• Big data PySPARK intro and recovery
• Big data Case study MapReduce and SPARK