Data Analytics Chat
Welcome to Data Analytics Chat, your podcast about the vibrant world of data analytics! In each episode, we explore the latest trends and topics in this ever-evolving industry, shedding light on the challenges that shape the data science and AI landscape.
Join us for insightful conversations with leading data experts as they share their experiences, unravel their hurdles, and offer valuable insights that will empower you to overcome obstacles.
Whether you're a data enthusiast or a seasoned data analytics professional, our inspiring guests will share stories, trends, and knowledge to help you thrive in this dynamic field.
Tune in, and let's explore the world of data analytics together!
Data Analytics Chat
How to Do Data Engineering, with Samit Korgaonkar (Head of Engineering for Enterprise Data)
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 Chat
00:32 Meet Sumit Korgaonkar: Head of Engineering for Enterprise Data at Google
01:55 The Evolution and Challenges of Data Management
07:38 The Role and Importance of Data Engineering
20:33 Key Components of a Successful Data Engineering Framework
24:17 Designing and Maintaining Robust Data Pipelines
28:31 Choosing the Right Tools for Your Project
30:21 Ensuring Data Quality and Integrity
34:08 Essential Tools for Data Engineering
36:06 Scaling Data Infrastructure
38:49 Compliance and Security in Data Engineering
40:29 Delivering Business Value Through Data Engineering
42:33 Emerging Trends in Data Engineering
46:23 Key Skills for Aspiring Data Engineers
50:22 The Evolving Role of Data Engineers
54:04 Conclusion and Final Thoughts
Thank you for listening!