Fundamentals of Data Observability: Implement Trustworthy End-To-End Data Soluti

Description: Fundamentals of Data Observability by Andy Petrella Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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 youre 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. Youll 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 observabilityUse data observability to detect, troubleshoot, and prevent data issuesFollow the books recipes to implement observability in your data projectsUse data observability to create a trustworthy communication framework with data consumersLearn how to educate your peers about the benefits of data observability Author Biography Andy Petrella has been in the data industry for almost 20 years, starting his career as a software engineer and data miner in the GIS space. He has evangelized big data for more than a decade, especially Apache Spark for which he created the Spark-Notebook (that has 3100 stars on Github). During his time evangelizing Spark and helping hundreds of companies in the US and in EU work on their data pipelines and models, he has witnessed the lack of visibility and control of data jobs after they are deployed in production. Since 2015, he has been talking to tech and data-savvy people to build a sustainable solution for this problem. That is: "how to make data observable"A in a way that can be adopted smoothly by any data practitioner. Today, he is regularly invited to companies to educate their data teams, whilst running Kensu, which has more than 50 years of total development time dedicated to building the set tools to help data engineers and their peers to build trust in what they deliver. Also he is in ongoing talks with advocates such as Gartner to create a definition of Data Observability that refers to all its important facets. Finally, he has written books, blogs, slides, training materials, etc. since 2013, including many materials with OReilly. Details ISBN 1098133293 ISBN-13 9781098133290 Title Fundamentals of Data Observability Author Andy Petrella Format Paperback Year 2023 Pages 266 Publisher OReilly Media GE_Item_ID:145028238; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

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End Time: 2024-11-08T07:01:47.000Z

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