This course will introduce concepts, use-cases and leading products that are used to design a scalable solution for big data in the modern data landscape. This course will introduce the different components a big data solution is comprised of, using pre-defined use cases as an example on how to plan a solution, from start to finish. This course may attended by:
1. Business and data analysts who want to sharpen their analytical skills
2. Department heads and other senior managers who want to use the analytics output to improve their decision making
3. Marketing and business managers seeking to reach the intended audience through better analytics.
This course introduces the concept of big data and how it can help business drive decisions, innovation and productivity. This course will help participants to gain an understanding of how managers use big data analytics to draw insights, formulate and solve business problems and to support managerial decision making.
They will also learn how to use and apply selected data analytics software. This course will benefit those who plan careers in analytics, targeted marketing, predictive modelling and strategic consulting. Participants will work on a project on Big Data Analytics and gain hands-on project experience
1. What is Big Data – introduction, sources, storage and retrieval management
2. Introduction to analytics and the need for Big Data Analytics
3. When is an organisation ready for Big Data Analytics?
4. Assessing the maturity for Big Data Analytics
5. Big Data and Enterprise Master Data Management
6. Big Data Governance
7. Data Mining for Business
8. Hadoop and its ecosystem for Big Data
9. What is Hadoop?
10. The Hadoop Distributed File System
11. How MapReduce Works
12. Anatomy of a Hadoop Cluster
13. Motivation for Hadoop: Requirements for a new approach
14. Comparing Hadoop Vs. Traditional systems
15. Hadoop Solutions – Big Picture
16. NoSQL Databases
17. Hadoop ecosystem
18. Understanding text analytics, sentiment analysis and social network analysis using case studies and hands on exercises using tools
19. Using big data for decision making, innovation and increasing productivity across functions like marketing, supply chain and operations and finance
20. Understanding the impact of Big data Analytics on business performance using case studies
21. Big Data solutions and challenges on Cloud
22. Big Data Visualisation using Tableau.
| Syifa (082130264999) |
| Ocha (081224637296) |
| Margi (081394000042) |
| Tuti (081321237948) |