Data Quality Fundamentals: A Practitioner's Guide to Building Trustworthy Data P

Description: Data Quality Fundamentals by Barr Moses, Lior Gavish, Molly Vorwerck Estimated delivery 3-12 business days Format Paperback Condition Brand New Description Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset youre using broken or just plain wrong? These problems affect almost every team, yet theyre usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to any of the questions above, this book is for you. Publisher Description Do your product dashboards look funky? Are your quarterly reports stale? Is the dataset youre using broken or just plain wrong? These problems affect almost every team, yet theyre usually addressed on an ad hoc basis and in a reactive manner. If you answered yes to any of the questions above, this book is for you.Many data engineering teams today face the "good pipelines, bad data" problem. It doesnt matter how advanced your data infrastructure is if the data youre piping is bad. In this book, Barr Moses, Lior Gavish, and Molly Vorwerck from the data reliability company Monte Carlo explain how to tackle data quality and trust at scale by leveraging best practices and technologies used by some of the worlds most innovative companies.Build more trustworthy and reliable data pipelinesWrite scripts to make data checks and identify broken pipelines with data observabilityProgram your own data quality monitors from scratchDevelop and lead data quality initiatives at your companyGenerate a dashboard to highlight your companys key data assetsAutomate data lineage graphs across your data ecosystemBuild anomaly detectors for your critical data assets Author Biography Barr Moses is the CEO and co-founder of Monte Carlo, a data reliability company. In her decade-long career in data, Barr has served as commander of a data intelligence unit in the Israeli Air Force, a consultant at Bain & Company, and VP of Operations at Gainsight, where she built and led their data and analytics team. The instructor of OReilly first course on Data Observability, an emerging discipline in data engineering, Barr has worked with hundreds of data teams struggling with these problems. Inspired by her time in the analytics trenches, she is building a product literally dedicated to identifying, resolving, and preventing what she calls "data downtime," periods of time when data is missing, erroneous, or otherwise inaccurate. In other words: bad data. In this book, she shares her experiences and learnings on how todays data organizations can achieve high data quality at scale through technological, organization, and cultural best practices. Lior Gavish is CTO and Co-Founder of Monte Carlo, a data reliability company backed by Accel, Redpoint, GGV, and other top Silicon Valley investors. Prior to Monte Carlo, Lior co-founded cybersecurity startup Sookasa, which was acquired by Barracuda in 2016. At Barracuda, Lior was SVP of Engineering, launching award-winning ML products for fraud prevention. Lior holds an MBA from Stanford and an MSC in Computer Science from Tel-Aviv University. Molly Vorwerck is the Head of Content at Monte Carlo, a data reliability company. Prior to joining Monte Carlo, Molly served as editor-in-chief of the Uber Engineering Blog and lead program manager for Ubers Technical Brand team, where she spent countless hours helping engineers, data scientists, and analysts write and edit content about their technical work and experiences. She also led internal communications for Ubers Chief Technology Officer and strategy for Uber AIs Research Review Program. In her spare time, she freelances for USA Today, reads up on all the latest trends in data, and volunteers for the California Historical Society. Details ISBN 1098112040 ISBN-13 9781098112042 Title Data Quality Fundamentals Author Barr Moses, Lior Gavish, Molly Vorwerck Format Paperback Year 2022 Pages 300 Publisher OReilly Media GE_Item_ID:138267463; 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. 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