Scalable Big Data Solutions
( 30 Modules )

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

Module #2
Big Data Characterstics
Exploring the 5Vs of big data:volume, velocity, variety, veracity, and value

Module #3
Big Data Storage Options
Comparing traditional storage solutions with big data storage solutions

Module #4
Big Data Processing Options
Introducing batch processing, stream processing, and interactive querying

Module #5
Big Data Analytics
Overview of descriptive, predictive, and prescriptive analytics

Module #6
Hadoop Ecosystem
Introduction to Hadoop, HDFS, YARN, and MapReduce

Module #7
Spark and Spark Ecosystem
Introduction to Apache Spark, Spark SQL, and Spark MLlib

Module #8
NoSQL Data Stores
Introduction to key-value stores, document-oriented databases, and graph databases

Module #9
Distributed File Systems
Exploring HDFS, Gluster, and Ceph

Module #10
Distributed Databases
Introduction to distributed relational databases and NewSQL databases

Module #11
Apache Flink
Introduction to Apache Flink and its use cases

Module #12
Apache Kafka
Introduction to Apache Kafka and its use cases

Module #13
Apache Storm
Introduction to Apache Storm and its use cases

Module #14
Real-time Data Processing
Exploring real-time data processing architectures and use cases

Module #15
Batch Data Processing
Exploring batch data processing architectures and use cases

Module #16
Data Ingestion
Exploring data ingestion techniques and tools

Module #17
Data Integration
Introduction to data integration patterns and tools

Module #18
ETL (Extract, Transform, Load)
Exploring ETL processes and tools

Module #19
Data Pipelines
Introduction to data pipelines and their importance

Module #20
Real-time Data Integration
Exploring real-time data integration architectures and use cases

Module #21
Machine Learning on Big Data
Introduction to machine learning on big data

Module #22
Deep Learning on Big Data
Introduction to deep learning on big data

Module #23
Big Data Security and Governance
Exploring big data security and governance best practices

Module #24
Big Data and Cloud Computing
Exploring big data on cloud computing platforms

Module #25
Big Data and IoT
Introduction to big data and IoT (Internet of Things) use cases

Module #26
Hands-on Exercise 1:Hadoop and Spark
Practical exercise on Hadoop and Spark

Module #27
Hands-on Exercise 2:NoSQL Data Stores
Practical exercise on NoSQL data stores

Module #28
Final Project:Scalable Big Data Solution
Implementing a scalable big data solution using learned concepts

Module #29
Review and Conclusion
Reviewing key concepts and summarizing the course

Module #30
Course Wrap-Up & Conclusion
Planning next steps in Scalable Big Data Solutions career

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Scalable Big Data Solutions ( 30 Modules )

Scalable Big Data Solutions
( 30 Modules )