Data Lakes
Brian Paul
In the era of big data, organizations are turning to data lakes as a powerful solution to store, manage, and derive valuable insights from vast and diverse datasets. "Data Lakes" is your essential guide to understanding, implementing, and optimizing data lakes for success in the complex landscape of data architecture.
"Data Lakes" is your indispensable companion on the quest to harness the transformative power of data lakes, offering practical insights, expert guidance, and a roadmap to success in the dynamic world of data management and analytics. Whether you're a seasoned data professional or just starting your data journey, this book empowers you to navigate the depths of data lakes with confidence and proficiency.
Duration - 4h 27m.
Author - Brian Paul.
Narrator - Ray Collins.
Published Date - Saturday, 13 January 2024.
Copyright - © 2024 Brian Paul ©.
Location:
United States
Description:
In the era of big data, organizations are turning to data lakes as a powerful solution to store, manage, and derive valuable insights from vast and diverse datasets. "Data Lakes" is your essential guide to understanding, implementing, and optimizing data lakes for success in the complex landscape of data architecture. "Data Lakes" is your indispensable companion on the quest to harness the transformative power of data lakes, offering practical insights, expert guidance, and a roadmap to success in the dynamic world of data management and analytics. Whether you're a seasoned data professional or just starting your data journey, this book empowers you to navigate the depths of data lakes with confidence and proficiency. Duration - 4h 27m. Author - Brian Paul. Narrator - Ray Collins. Published Date - Saturday, 13 January 2024. Copyright - © 2024 Brian Paul ©.
Language:
English
Opening Credits
Duration:00:00:12
Chapter 1 introduction to data lakes
Duration:00:44:14
Chapter 2 architecture and components
Duration:00:19:34
Chapter 3 planning and designing a data
Duration:00:37:47
Chapter 4 data ingestion strategies
Duration:00:37:18
Chapter 5 metadata management
Duration:00:14:31
Chapter 6 data processing and
Duration:00:12:16
Chapter 7 data lake governance and
Duration:00:38:08
Chapter 8 advanced analytics and machine
Duration:00:12:59
Chapter 9 performance tuning and
Duration:00:16:41
Chapter 10 case studies
Duration:00:15:19
Chapter 11 future trends and innovations
Duration:00:17:57
Ending Credits
Duration:00:00:14