Data Storage Solutions for Big Data
( 30 Modules )

Module #1
Introduction to Big Data
Overview of big data, its characteristics, and the need for efficient storage solutions

Module #2
Challenges in Storing Big Data
Understanding the limitations of traditional storage systems and the challenges of storing big data

Module #3
Types of Big Data Storage
Overview of different types of big data storage solutions, including relational databases, NoSQL databases, and file systems

Module #4
Relational Databases for Big Data
In-depth look at relational databases for big data, including scaling and performance optimization

Module #5
NoSQL Databases for Big Data
In-depth look at NoSQL databases for big data, including key-value stores, document databases, and graph databases

Module #6
Hadoop Distributed File System (HDFS)
In-depth look at HDFS, including its architecture, features, and use cases

Module #7
Hadoop and Big Data Ecosystem
Overview of the Hadoop ecosystem, including MapReduce, YARN, and other components

Module #8
Cloud-Based Storage Solutions
Overview of cloud-based storage solutions, including AWS S3, Azure Blob Storage, and Google Cloud Storage

Module #9
Object Storage for Big Data
In-depth look at object storage solutions, including Ceph, Swift, and MinIO

Module #10
Block Storage for Big Data
In-depth look at block storage solutions, including SAN, NAS, and distributed block storage systems

Module #11
File Systems for Big Data
Overview of file systems designed for big data, including HDFS, GlusterFS, and CephFS

Module #12
Data Lake Architecture
In-depth look at data lake architecture, including design principles and best practices

Module #13
Data Warehousing for Big Data
Overview of data warehousing for big data, including architecture and design considerations

Module #14
Real-Time Data Processing and Storage
In-depth look at real-time data processing and storage solutions, including Apache Kafka and Apache Flink

Module #15
Security and Governance for Big Data Storage
Overview of security and governance considerations for big data storage solutions

Module #16
Performance Optimization for Big Data Storage
In-depth look at performance optimization techniques for big data storage solutions

Module #17
Scalability and Capacity Planning for Big Data Storage
Overview of scalability and capacity planning considerations for big data storage solutions

Module #18
Big Data Storage Cost Optimization
In-depth look at cost optimization strategies for big data storage solutions

Module #19
Case Studies in Big Data Storage
Real-world case studies of big data storage solutions in various industries

Module #20
Future of Big Data Storage
Overview of emerging trends and technologies in big data storage solutions

Module #21
Hands-on Lab:Setting up a Big Data Storage Solution
Practical exercise in setting up a big data storage solution using HDFS and NoSQL databases

Module #22
Hands-on Lab:Data Ingestion and Processing
Practical exercise in ingesting and processing big data using Apache NiFi and Apache Spark

Module #23
Hands-on Lab:Data Lake Architecture
Practical exercise in designing and implementing a data lake architecture using HDFS and Apache Hive

Module #24
Hands-on Lab:Real-Time Data Processing
Practical exercise in real-time data processing using Apache Kafka and Apache Flink

Module #25
Hands-on Lab:Security and Governance
Practical exercise in implementing security and governance for big data storage solutions

Module #26
Hands-on Lab:Performance Optimization
Practical exercise in optimizing performance for big data storage solutions

Module #27
Hands-on Lab:Scalability and Capacity Planning
Practical exercise in scalability and capacity planning for big data storage solutions

Module #28
Hands-on Lab:Cost Optimization
Practical exercise in cost optimization for big data storage solutions

Module #29
Final Project:Designing a Big Data Storage Solution
Final project in which students design and propose a big data storage solution for a real-world scenario

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

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Data Storage Solutions for Big Data ( 30 Modules )

Data Storage Solutions for Big Data
( 30 Modules )