Description: Title: Fundamentals of Data Observability: Implement Trustworthy End-To-End Data Solutions Author: Petrella, Andy Publisher: O'Reilly Media Inc. Binding: Paperback Pages: 264 Dimensions: 9.19h x 7.00w x 0.56d Product Weight: 0.94 lbs. Language: English ISBN: 9781098133290 Quickly detect, troubleshoot, and prevent a wide range of data issues through data observability, a set of best practices that enables data teams to gain greater visibility of data and its usage. If you're a data engineer, data architect, or machine learning engineer who depends on the quality of your data, this book shows you how to focus on the practical aspects of introducing data observability in your everyday work. Author Andy Petrella helps you build the right habits to identify and solve data issues, such as data drifts and poor quality, so you can stop their propagation in data applications, pipelines, and analytics. You'll learn ways to introduce data observability, including setting up a framework for generating and collecting all the information you need. Learn the core principles and benefits of data observability Use data observability to detect, troubleshoot, and prevent data issues Follow the book's recipes to implement observability in your data projects Use data observability to create a trustworthy communication framework with data consumers Learn how to educate your peers about the benefits of data observability Ships Fast From The USA! Authorized Dealer
Price: 70.99 USD
Location: Milwaukee, Wisconsin
End Time: 2024-10-03T16:22:34.000Z
Shipping Cost: 9.95 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Seller
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Book Title: does not apply
MPN: does not apply
Number of Pages: 250 Pages
Publication Name: Fundamentals of Data Observability : Implement Trustworthy End-To-End Data Solutions
Language: English
Publisher: O'reilly Media, Incorporated
Item Height: 0.7 in
Publication Year: 2023
Subject: Data Modeling & Design, Desktop Applications / Databases, Data Processing, Databases / Data Warehousing, Databases / Data Mining
Type: Textbook
Item Weight: 17 Oz
Item Length: 9.2 in
Author: Andy Petrella
Subject Area: Computers
Item Width: 7 in
Format: Trade Paperback
