Delivering Data-Driven Value at Scale
|$43.50 - $50.60
|Paper book / ebook (PDF)
We're at an inflection point in data, where our data management solutions no longer match the complexity of organizations, the proliferation of data sources, and the scope of our aspirations to get value from data with AI and analytics. In this practical book, author Zhamak Dehghani introduces data mesh, a decentralized sociotechnical paradigm drawn from modern distributed architecture that provides a new approach to sourcing, sharing, accessing, and managing analytical data at scale.
Dehghani guides practitioners, architects, technical leaders, and decision makers on their journey from traditional big data architecture to a distributed and multidimensional approach to analytical data management. Data mesh treats data as a product, considers domains as a primary concern, applies platform thinking to create self-serve data infrastructure, and introduces a federated computational model of data governance.
Get a complete introduction to data mesh principles and its constituents; Design a data mesh architecture; Guide a data mesh strategy and execution; Navigate organizational design to a decentralized data ownership model; Move beyond traditional data warehouses and lakes to a distributed data mesh.
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by Hubert Dulay, Stephen Mooney
Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming an...
Price: $41.99 | Publisher: O'Reilly Media | Release: 2023
by Piethein Strengholt
As data management continues to evolve rapidly, managing all of your data in a central place, such as a data warehouse, is no longer scalable. Today's world is about quickly turning data into value. This requires a paradigm shift in the way we federate responsibilities, manage data, and make it available to others. With this practica...
Price: $43.99 | Publisher: O'Reilly Media | Release: 2023
by Jesse Feiler
As apps rapidly move into business and the cloud, iOS and OS X developers need new data management techniques. In Learning iCloud Data Management, renowned Apple database expert Jesse Feiler shows you how to use Apple's latest APIs and technologies to structure and synchronize all forms of data. Feiler helps you understand the issues...
Price: $24.07 | Publisher: Addison-Wesley | Release: 2014
by Tim Roadley
This is the first Core Data book to fully reflect Apple's latest platform innovations, including its dramatic recent improvements to iCloud support. Hands-on from start to finish, it teaches you step-by-step as you create a modern data-driven iOS app using Storyboards, ARC, iOS 7, and Xcode 5.Tim Roadley introduces new patterns and ...
Price: $3.72 | Publisher: Addison-Wesley | Release: 2013
by Toby Segaran, Jeff Hammerbacher
With this insightful book, you'll learn from the best data practitioners in the field just how wide-ranging -- and beautiful -- working with data can be. Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video....
Price: $18.99 | Publisher: O'Reilly Media | Release: 2009
by Saurabh Gupta, Venkata Giri
Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues.When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational data...
Price: $24.14 | Publisher: Apress | Release: 2018
by Timothy Masters
Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables.As a serious data miner you will often be faced with thousands of candidate features for your prediction or classification application, ...
Price: $33.68 | Publisher: Apress | Release: 2020
by Tshepo Chris Nokeri
Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples...
Price: $39.99 | Publisher: Apress | Release: 2021