DataHour: Data Warehouse and its importance in Data World

Over the last decade, the 3Vs of data - Volume, Velocity & Variety has grown massively. The Big Data revolution has completely changed the way companies collect, analyze & store data.

In this DataHour, Aakash will explain the basic concepts , evolution, working, best practices and importance of data warehouses in the current data world and future outlook.

He will be covering the following topics in detail:

• Characteristics of a Data Warehouse.
• Choosing the best solution - Data Lake vs. Data Warehouse vs. Data Mart.
• Step by step approach to building an effective data warehouse architecture.
• Common reasons for the failure of data warehouse implementations and how to avoid them.
• Trends and benefits of implementing Data Warehouse Automation.

Prerequisites: Enthusiasm for learning Data Science and basic knowledge of Python.

Aakash Bansal is currently working as a Data Engineer with Amazon. Prior to Amazon, he was working at Gartner Inc and Tata Consultancy Services as Lead Analytics Engineer.He has 10 years of experience in the data engineering field ,with a deep focus on data warehousing and data modeling.He has worked on multiple cloud technologies  - AWS and Microsoft Azure , providing solutions for complex data problems by setting up Data Warehouse and data pipeline that caters to organizational overall data needs.