logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Architecting Dataintensive Saas Applications William Waddington Kevin Mcginley Pui Kei Johnston Chu

  • SKU: BELL-47965614
Architecting Dataintensive Saas Applications William Waddington Kevin Mcginley Pui Kei Johnston Chu
$ 31.00 $ 45.00 (-31%)

4.7

16 reviews

Architecting Dataintensive Saas Applications William Waddington Kevin Mcginley Pui Kei Johnston Chu instant download after payment.

Publisher: O'Reilly Media, Inc.
File Extension: MOBI
File size: 2.21 MB
Author: William Waddington & Kevin McGinley & Pui Kei Johnston Chu
ISBN: 9781098102753, 1098102754, 3de67f9a-64f5-4b5a-b29f-1712846c0264, 3DE67F9A-64F5-4B5A-B29F-1712846C0264
Language: English
Year: 2021

Product desciption

Architecting Dataintensive Saas Applications William Waddington Kevin Mcginley Pui Kei Johnston Chu by William Waddington & Kevin Mcginley & Pui Kei Johnston Chu 9781098102753, 1098102754, 3de67f9a-64f5-4b5a-b29f-1712846c0264, 3DE67F9A-64F5-4B5A-B29F-1712846C0264 instant download after payment.

Through explosive growth in the past decade, data now drives significant portions of our lives, from crowdsourced restaurant recommendations to AI systems identifying effective medical treatments. Software developers have unprecedented opportunity to build data applications that generate value from massive datasets across use cases such as customer 360, application health and security analytics, the IoT, machine learning, and embedded analytics.

With this report, product managers, architects, and engineering teams will learn how to make key technical decisions when building data-intensive applications, including how to implement extensible data pipelines and share data securely. The report includes design considerations for making these decisions and uses the Snowflake Data Cloud to illustrate best practices.

This report explores:

  • Why data applications matter: Get an introduction to data applications and some of the most common use cases
  • Evaluating platforms for building data apps: Evaluate modern data platforms to confidently consider the merits of potential solutions
  • Building scalable data applications: Learn design patterns and best practices for storage, compute, and security
  • Handling and processing data: Explore techniques and real-world examples for building data pipelines to support data applications
  • Designing for data sharing: Learn best practices for sharing data in modern data applications

Related Products