Big Data Technologies and Platforms
( 25 Modules )

Module #1
Introduction to Big Data
Defining Big Data, its characteristics, and importance in modern businesses

Module #2
Big Data Use Cases
Exploring real-world applications of Big Data in various industries

Module #3
Hadoop Ecosystem Overview
Introducing the Hadoop framework, its components, and ecosystem

Module #4
HDFS (Hadoop Distributed File System)
Understanding HDFS architecture, advantages, and use cases

Module #5
MapReduce Fundamentals
Learning the basics of MapReduce programming model and its applications

Module #6
MapReduce Programming
Writing MapReduce programs in Java and Python

Module #7
YARN (Yet Another Resource Negotiator)
Understanding YARN architecture and its role in resource management

Module #8
Apache Spark Overview
Introducing Apache Spark, its features, and use cases

Module #9
Spark Core and RDDs
Learning Spark Core, RDD fundamentals, and operations

Module #10
Spark SQL and DataFrames
Understanding Spark SQL, DataFrames, and DataSets

Module #11
NoSQL Databases
Introduction to NoSQL databases, types, and advantages

Module #12
HBase Fundamentals
Learning HBase architecture, data model, and usage

Module #13
Cassandra Fundamentals
Understanding Cassandra architecture, data model, and usage

Module #14
Data Ingestion and Integration
Exploring data ingestion tools and techniques, such as Sqoop and Flume

Module #15
Data Processing and Analytics
Learning data processing and analytics techniques using Pig, Hive, and Spark

Module #16
Big Data Visualization
Understanding the importance of data visualization and tools like Tableau and Power BI

Module #17
Apache Kafka Fundamentals
Introduction to Apache Kafka, its architecture, and use cases

Module #18
Big Data Security and Governance
Exploring Big Data security threats and governance strategies

Module #19
Cloud-based Big Data Platforms
Introduction to cloud-based Big Data platforms, such as AWS EMR and Azure HDInsight

Module #20
Big Data and IoT
Exploring the intersection of Big Data and IoT, and its applications

Module #21
Big Data and Machine Learning
Understanding the relationship between Big Data and Machine Learning

Module #22
Big Data Use Cases in Industry
Exploring Big Data use cases in finance, healthcare, and retail industries

Module #23
Big Data Project Implementation
Guided project implementation using Big Data technologies

Module #24
Big Data Best Practices and Optimization
Learning best practices and optimization techniques for Big Data systems

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Big Data Technologies and Platforms career

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Big Data Technologies and Platforms ( 25 Modules )

Big Data Technologies and Platforms
( 25 Modules )