Prime logo Prime members: New to Audible?
Get 2 free audiobooks during trial.
Pick 1 audiobook a month from our unmatched collection.
Listen all you want to thousands of included audiobooks, Originals, and podcasts.
Access exclusive sales and deals.
Premium Plus auto-renews for $14.95/mo after 30 days. Cancel anytime.
Designing Cloud Data Platforms  By  cover art

Designing Cloud Data Platforms

By: Danil Zburivsky, Lynda Partner
Narrated by: Christopher Kendrick
Try for $0.00

$14.95/month after 30 days. Cancel anytime.

Buy for $24.95

Buy for $24.95

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

Centralized data warehouses, the long-time de facto standard for housing data for analytics, are rapidly giving way to multi-faceted cloud data platforms.

Companies that embrace modern cloud data platforms benefit from an integrated view of their business using all of their data and can take advantage of advanced analytic practices to drive predictions and as yet unimagined data services. Designing Cloud Data Platforms is a hands-on guide to envisioning and designing a modern scalable data platform that takes full advantage of the flexibility of the cloud. As you listen, you’ll learn the core components of a cloud data platform design, along with the role of key technologies like Spark and Kafka Streams.

You’ll also explore setting up processes to manage cloud-based data, keep it secure, and using advanced analytic and BI tools to analyze it.

About the Technology

Well-designed pipelines, storage systems, and APIs eliminate the complicated scaling and maintenance required with on-prem data centers. Once you learn the patterns for designing cloud data platforms, you’ll maximize performance no matter which cloud vendor you use.

About the Audiobook

In Designing Cloud Data Platforms, The authors reveal a six-layer approach that increases flexibility and reduces costs. Discover patterns for ingesting data from a variety of sources, then learn to harness prebuilt services provided by cloud vendors.

What's inside:

  • Best practices for structured and unstructured data sets
  • Cloud-ready machine learning tools
  • Metadata and real-time analytics
  • Defensive architecture, access, and security

For data professionals familiar with the basics of cloud computing, and Hadoop or Spark.

About the Authors

Danil Zburivsky has over 10 years of experience designing and supporting large-scale data infrastructure for enterprises across the globe. Lynda Partner is the VP of Analytics-as-a-Service at Pythian, and has been on the business side of data for over 20 years.

PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio. 

©2021 Manning Publications (P)2022 Manning Publications

What listeners say about Designing Cloud Data Platforms

Average customer ratings
Overall
  • 3 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    1
Performance
  • 3 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    0
  • 3 Stars
    0
  • 2 Stars
    0
  • 1 Stars
    1
Story
  • 4 out of 5 stars
  • 5 Stars
    1
  • 4 Stars
    0
  • 3 Stars
    1
  • 2 Stars
    0
  • 1 Stars
    0

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

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

Not an audiobook

This book might be good if read but not when read to you. I also didn't see it's an Azure book. I was looking for a more general book to listen to while working out.

Something went wrong. Please try again in a few minutes.

You voted on this review!

You reported this review!