How to Do Data Engineering

In this episode of Data Analytics Chat, we explore how to do data engineering. Data engineering has become crucial for companies as it enables efficient data management, supports advanced analytics, ensures compliance, and drives data-driven decision-making. It is important for businesses to transform their raw data into valuable insights that inform strategic decisions.  Samit Korgaonkar, Head of Engineering for Enterprise Data at Google, the global technology giant, joins us.  In this episode, we will learn: 00:00 Introduction to Data Analytics Chat00:32 Meet Sumit Korgaonkar: Head of Engineering for Enterprise Data at Google01:55 The Evolution and Challenges of Data Management07:38 The Role and Importance of Data Engineering20:33 Key Components of a Successful Data Engineering Framework24:17 Designing and Maintaining Robust Data Pipelines28:31 Choosing the Right Tools for Your Project30:21 Ensuring Data Quality and Integrity34:08 Essential Tools for Data Engineering36:06 Scaling Data Infrastructure38:49 Compliance and Security in Data Engineering40:29 Delivering Business Value Through Data Engineering42:33 Emerging Trends in Data Engineering46:23 Key Skills for Aspiring Data Engineers50:22 The Evolving Role of Data Engineers54:04 Conclusion and Final ThoughtsThank you for listening!

There are no comments yet.

Please log in to write the first comment.