amsadeeq / BDM

Course covers big data fundamentals, processes, technologies, platform ecosystem, and management for practical application development.

Geek Repo:Geek Repo

Github PK Tool:Github PK Tool

Stars Badge Forks Badge Pull Requests Badge Issues Badge GitHub contributors Visitors

Big Data Management

WBDM

Course Synopsis

This course provides a basic fundamental of big data architecture and management. Students will learn the big data processes and the current big data technologies that are available. Further, students will be exposed to the big data platform ecosystem for big data manipulation. The big data management will be explored for the best practice in managing and manipulating large amount of data. At the end of the course, students should be able to understand the architecture and management of big data and also can develop simple application of big data handling using particular platform in assignment.

Course Learning Outcomes

  1. Understand the technology for managing, processing and manipulating large amount of data.
  2. Design big data platform demonstrating the implementation of big data applications.
  3. Discuss current technology that support for sustainability of the big data platform ecosystem.

🔥 Important things

  1. AWS Academy Cloud Foundations
  2. AWS Academy Cloud Architecting
  3. AWS Academy Data Engineering
  4. AWS Academy Machine Learning for Natural Language Processing

Weekly Schedule

Week Topic
1 Introduction to Big Data and Big Data Analytics
- Fundamentals and concepts of big data
2 Big Data Processing and Technology
- Batch, real-time, and streaming processing.
- Scalability, storage, sourcing challenges.
3-4 - ACID, BASE, and CAP theorem
- Distributed File Processing & Map Reduce Processing
5 - Lambda Architecture
6-7 Relational Database (RDBMS)
- Relational Data Modelling
- Database design phases
8 Relational Database (RDBMS)
- SQL programming (DDL, DML, CRUD Operation)
9 Relational Database (RDBMS)
- SQL programming (Subqueries, Join Tables, Aggregate)
10 No SQL Database
- Introduction to No SQL database
- Semi-structured data Modelling (Key Value, Column Family, Document, and Graph)
11-12 No SQL database (Document-based Database)
- Document-based data modelling
- MongoDB query language
13-14 Cloud Technology
- Introduction to Cloud
- AWS Cloud (via AWS Learning Management System)
15 Project Presentation

Project

Submission

Tools

Contribution 🛠️

Please create an Issue for any improvements, suggestions or errors in the content.

You can also contact me using Linkedin for any other queries or feedback.

Visitors

About

Course covers big data fundamentals, processes, technologies, platform ecosystem, and management for practical application development.