Big Data Technologies
( 24 Modules )

Module #1
Introduction to Big Data
Overview of big data, its characteristics, and importance

Module #2
Big Data Technologies Overview
Introduction to various big data technologies and their ecosystems

Module #3
Hadoop Fundamentals
Introduction to Hadoop, HDFS, and MapReduce

Module #4
Hadoop Ecosystem
Overview of Hadoop ecosystem components, including YARN, Hive, and Pig

Module #5
Hadoop Cluster Setup and Administration
Setting up and administering a Hadoop cluster

Module #6
Data Ingestion with Sqoop and Flume
Ingesting data into Hadoop using Sqoop and Flume

Module #7
Data Processing with Hive and Pig
Processing data with Hive and Pig

Module #8
Data Storage with HBase and Cassandra
Storing data with HBase and Cassandra

Module #9
Spark Fundamentals
Introduction to Apache Spark and its ecosystem

Module #10
Spark Core and Spark SQL
Programming with Spark Core and Spark SQL

Module #11
Spark Streaming and Structured Streaming
Processing real-time data with Spark Streaming and Structured Streaming

Module #12
NoSQL Databases
Introduction to NoSQL databases, including MongoDB, Couchbase, and Redis

Module #13
Data Warehousing with Hive and Presto
Building data warehouses with Hive and Presto

Module #14
Big Data Analytics with Spark MLlib and Scikit-learn
Building machine learning models with Spark MLlib and Scikit-learn

Module #15
Big Data Visualization with Tableau and D3.js
Visualizing big data with Tableau and D3.js

Module #16
Cloud-based Big Data Solutions
Big data solutions on cloud platforms, including AWS, Azure, and GCP

Module #17
Big Data Security and Governance
Securing and governing big data systems

Module #18
Real-time Big Data Processing with Kafka and Flink
Processing real-time data with Kafka and Flink

Module #19
Graph Processing with GraphX and Giraph
Processing graph data with GraphX and Giraph

Module #20
Big Data Case Studies
Real-world case studies of big data implementations

Module #21
Big Data Project Development
Developing a big data project using various technologies

Module #22
Big Data Best Practices and Optimization
Best practices and optimization techniques for big data systems

Module #23
Big Data Trends and Emerging Technologies
Emerging trends and technologies in big data

Module #24
Course Wrap-Up & Conclusion
Planning next steps in Big Data Technologies career

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Big Data Technologies ( 24 Modules )

Big Data Technologies
( 24 Modules )