Data Lake
Failed to add items
Sorry, we are unable to add the item because your shopping cart is already at capacity.
Add to basket failed.
Please try again later
Add to wishlist failed.
Please try again later
Remove from wishlist failed.
Please try again later
Adding to library failed
Please try again
Follow podcast failed
Unfollow podcast failed
3 Months Free
£5.99/mo after 3 months. Cancel monthly.
Offer ends on 15 July 2026 at 11:59 BST.
Buy Now for £6.49
-
Narrated by:
-
AI Voice Allan Murray
-
By:
-
Anthony Sinclair
This title uses virtual voice narration
Virtual voice is computer-generated narration for audiobooks.
Modern data lakes are designed to handle data from multiple sources such as applications, sensors, websites, social media, IoT devices, logs, and enterprise systems. They support scalable storage and distributed computing technologies, making them ideal for organizations dealing with large and continuously growing datasets.
This chapter explores the architecture, components, and benefits of data lakes, including data ingestion, storage formats, metadata management, governance, and security. Readers will also learn how data lakes differ from data warehouses, when to use them, and how cloud platforms such as AWS, Azure, and Google Cloud provide powerful data lake solutions for modern enterprises.
By understanding data lake concepts and implementation strategies, readers will gain the knowledge needed to build scalable, cost-effective, and analytics-ready data platforms for the future.
adbl_web_anon_alc_button_suppression_c
No reviews yet