adbl_ms_membershipImage_includedwith_altText_B076FLV3HT
adbl_ms_membershipImage_includedwith_altText_B076FLV3HT

1 audiobook of your choice.
Stream or download thousands of included titles.
$14.95 a month after 30 day trial. Cancel anytime.
Buy for $6.95

Buy for $6.95

Pay using card ending in
By confirming your purchase, you agree to Audible's Conditions of Use and Amazon's Privacy Notice. Taxes where applicable.

Publisher's Summary

Organizations invest incredible amounts of time and money in obtaining and then storing big data in stores called data lakes. But how many of these organizations can actually get the data back out in a useable form? Very few can turn a data lake into an information gold mine. Most wind up with garbage dumps.

Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.

Bill Inmon opened our eyes to the architecture and benefits of a data warehouse, and now he takes us to the next level of data lake architecture.

©2016 Bill Inmon (P)2016 Technics Publications, LLC

What listeners say about Data Lake Architecture

Average Customer Ratings
Overall
  • 4 out of 5 stars
  • 5 Stars
    17
  • 4 Stars
    13
  • 3 Stars
    12
  • 2 Stars
    7
  • 1 Stars
    0
Performance
  • 4 out of 5 stars
  • 5 Stars
    18
  • 4 Stars
    10
  • 3 Stars
    14
  • 2 Stars
    2
  • 1 Stars
    0
Story
  • 4 out of 5 stars
  • 5 Stars
    15
  • 4 Stars
    10
  • 3 Stars
    13
  • 2 Stars
    4
  • 1 Stars
    1

Reviews - Please select the tabs below to change the source of reviews.

Sort by:
Filter by:
  • Overall
    2 out of 5 stars
  • Performance
    2 out of 5 stars
  • Story
    2 out of 5 stars

Not useful in audio format

Decent content but some chapters were mainly reading out tables verbatim, it was not useful

2 people found this helpful

  • Overall
    5 out of 5 stars
  • Performance
    5 out of 5 stars
  • Story
    5 out of 5 stars

Great Book

A great inspiration and insights to data lake design. a must read for everyone building a data lake

1 person found this helpful

  • Overall
    5 out of 5 stars
  • Performance
    4 out of 5 stars
  • Story
    5 out of 5 stars

Good Fundamentals

Value in strategy of data lake setups and thought provoking on integrations of data ponds

Sort by:
Filter by:
  • Overall
    2 out of 5 stars
  • Performance
    3 out of 5 stars
  • Story
    2 out of 5 stars
Profile Image for Stephen
  • Stephen
  • 03-02-20

General generalities not worth the listen

There's about an article worth of information here. It's not bad as such, just too general, and nothing you couldn't find out with a very short read of some basic summary articles. I was hoping for more detail, more insights and more actionable content. Disappointing.