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Practical DataOps: Delivering Agile Data Science at Scale free ebook download

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Author(s):	Harvinder Atwal

Date:	2020-02-01	Format:	pdf	Language:	English	ISBN/ASIN:	1484251032
Pages:	240	OCR:		Quality:		ISBN13:
Uploader:	maveriks	Upload Date:	12/10/2019 7:40:02 AM

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Gain a practical introduction to DataOps, a new discipline for delivering data science at scale used at companies such as Facebook, Uber, LinkedIn, Twitter, and eBay. Organizations need more than the latest AI algorithms, hottest tools, and best people to turn data into insight-driven action or useful data products. This book provides the approach and methods to ensure continuous rapid use of data to create analytical applications, steer decision making, and derive learning in order to satisfy the customer. Practical DataOps shows you how to optimize the data supply chain from raw data to final analytical application, whether the goal is a machine learning model or other data-orientated output. Adapting and borrowing principles from Agile and DevOps methods, the book provides an approach to align data science with the rest of the organization and rapidly increase the number of reproducible analytics projects through automation and integration. This book helps you to improve the speed and accuracy at which analytical applications can be developed through data management practices that securely expand data access, and through lean thinking that improves quality via rigorous focus on testing, measurement, and eliminating wasted effort. The book shows how to collect feedback and monitor performance to manage and continuously improve your data products based on how they are used. What You'll Learn Develop a data strategy for your organization to help it reach its long-term goals Recognize and eliminate barriers to delivering data science at scale Work on the right things for the right stakeholders through agile collaboration Create trust in data via rigorous testing and effective data management Build a culture of learning and continuous improvement through monitoring deployments and measuring outcomes Create cross-functional self-organizing teams focused on goals not reporting lines Build robust, trustworthy, data pipelines in support of AI and machine learning Who This Book Is For Data science and advanced analytics experts, CIOs, CDOs (chief data officers), chief analytics officers, business analysts, business team leaders, and IT professionals (data engineers, developers, architects, and DBAs) supporting data teams who want to dramatically increase the value their organization derives from data. The book is ideal for data professionals facing barriers in getting data science and machine learning into customer-facing production, who are looking for an approach to rapidly deliver and scale deployments, and to learn from outcomes.

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	Title	Link	Password	Size (MB)	Thank to	Inform Admin
2647042	Book	https://nitroflare.com/view/4E1BA368FC4B...		4.50	maveriks

Tags: Agile Data DataOps Delivering Practical Scale Science

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Practical DataOps: Delivering Agile Data Science at Scale free ebook download

Category: Programming

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Category:
Programming