Big Data Made Simple

This seminar provides an introduction to the world of Big Data. It begins with an overview of the challenges and concepts around Big Data, as well as the various data platform types, which evolved in order to address these challenges, such as key-value and columnar databases. The seminar also includes a detailed review of the current major vendors and products in the market, whether it’s in the cloud or on-premises, including a discussion about the pros and cons of each one as well as a comparison between the different platforms. We will also cover some Big Data use cases and scenarios, choose the best data platform for the job and design the Big Data architecture for each case.

Agenda:

- Defining Big Data
- Introduction to Big Data
- Big Data Challenges
- Big Data Lifecycle Management

- Exploring the Different Big Data Platform Types
- SMP vs MPP Architectures
- The MapReduce Programming Model
- The Relational Data Model
- The Key-Value Model
- Document Databases
- Graph Databases
- Columnar Data Stores
- Search Technologies
- Streaming Analytics
- Machine Learning

- Leading Vendors and Products
- Open-Source vs Closed-Source Software
- Cloud vs. On-Premises
- The Apache Software Foundation
- Big Data Market Research
- Leading Products (Very Long List Here…)

- Big Data Use Cases
- Internet of Things
- Funnel Conversion
- Behavioral Analytics
- Predictive Analytics
- Fraud Detection
- Twitter Big Data Architecture

- Summary
- Big Data Made Simple
- Big Data Roadmap
- Additional Resources