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Take a dive into data lakes

“Data lakes” is the latest buzz word in the world of data storage, management, and analysis. Data Lakes For Dummies decodes and demystifies the concept and helps you get a straightforward answer the question: “What exactly is a data lake and do I need one for my business?” Written for an audience of technology decision makers tasked with keeping up with the latest and greatest data options, this book provides the perfect introductory survey of these novel and growing features of the information landscape. It explains how they can help your business, what they can (and can’t) achieve, and what you need to do to create the lake that best suits your particular needs.

With a minimum of jargon, prolific tech author and business intelligence consultant Alan Simon explains how data lakes differ from other data storage paradigms. Once you’ve got the background picture, he maps out ways you can add a data lake to your business systems; migrate existing information and switch on the fresh data supply; clean up the product; and open channels to the best intelligence software for to interpreting what you’ve stored.

Understand and build data lake architecture
Store, clean, and synchronize new and existing data
Compare the best data lake vendors
Structure raw data and produce usable analytics

Whatever your business, data lakes are going to form ever more prominent parts of the information universe every business should have access to. Dive into this book to start exploring the deep competitive advantage they make possible—and make sure your business isn’t left standing on the shore.

Take a dive into data lakes

Understand and build data lake architecture
Store, clean, and synchronize new and existing data
Compare the best data lake vendors
Structure raw data and produce usable analytics

","text/plain":"Take a dive into data lakes “Data lakes” is the latest buzz word in the world of data storage, management, and analysis. Data Lakes For Dummies decodes and demystifies the concept and helps you get a straightforward answer the question: “What exactly is a data lake and do I need one for my business?” Written for an audience of technology decision makers tasked with keeping up with the latest and greatest data options, this book provides the perfect introductory survey of these novel and growing features of the information landscape. It explains how they can help your business, what they can (and can’t) achieve, and what you need to do to create the lake that best suits your particular needs. With a minimum of jargon, prolific tech author and business intelligence consultant Alan Simon explains how data lakes differ from other data storage paradigms. Once you’ve got the background picture, he maps out ways you can add a data lake to your business systems; migrate existing information and switch on the fresh data supply; clean up the product; and open channels to the best intelligence software for to interpreting what you’ve stored. Understand and build data lake architecture Store, clean, and synchronize new and existing data Compare the best data lake vendors Structure raw data and produce usable analytics Whatever your business, data lakes are going to form ever more prominent parts of the information universe every business should have access to. Dive into this book to start exploring the deep competitive advantage they make possible—and make sure your business isn’t left standing on the shore."},"spine":"https://internal-ingress.platform.gcp.oreilly.com/api/v2/epubs/urn:orm:book:9781119786160/spine/","files":"https://internal-ingress.platform.gcp.oreilly.com/api/v2/epubs/urn:orm:book:9781119786160/files/","table_of_contents":"https://internal-ingress.platform.gcp.oreilly.com/api/v2/epubs/urn:orm:book:9781119786160/table-of-contents/","chapters":"https://internal-ingress.platform.gcp.oreilly.com/api/v2/epub-chapters/?epub_identifier=urn:orm:book:9781119786160","tags":[],"language":"en","resources":[{"url":"http://www.wiley.com/remtitle.cgi?isbn=9781119786160","type":"Unspecified, see website description","description":"Purchase Link"}],"roughcut":false},"tableOfContents":[],"recommendations":[{"apiUrl":"/api/v1/book/9781492033004/","authors":["Ben Sharma"],"contentFormat":"book","continueUri":"/api/v1/continue/9781492033004/","coverUri":"/library/cover/9781492033004/","description":"Many organizations today are succeeding with data lakes, not just as storage repositories but as places to organize, prepare, analyze, and secure a wide variety of data. Management and governance is critical for making your data lake work, yet hard to do without a roadmap. With this ebook, you’ll learn an approach that merges the flexibility of a data lake with the management and governance of a traditional data warehouse. Author Ben Sharma explains the steps necessary to deploy data lakes with robust, metadata-driven data management platforms. You’ll learn best practices for building, maintaining, and deriving value from a data lake in your production environment. Included is a detailed checklist to help you construct a data lake in a controlled yet flexible way. Managing and governing data in your lake cannot be an afterthought. This ebook explores how integrated data lake management solutions, such as the Zaloni Data Platform (ZDP), deliver necessary controls without making data lakes slow and inflexible. You’ll examine: A reference architecture for a production-ready data lake An overview of the data lake technology stack and deployment options Key data lake attributes, including ingestion, storage, processing, and access Why implementing management and governance is crucial for the success of your data lake How to curate data lakes through data governance, acquisition, organization, preparation, and provisioning Methods for providing secure self-service access for users across the enterprise How to build a future-proof data lake tech stack that includes storage, processing, data management, and reference architecture Emerging trends that will shape the future of data lakes","identifier":"9781492033004","issued":"2018-04-15","ourn":"urn:orm:book:9781492033004","model":"recommendations_usage_based","score":0.677174866,"title":"Architecting Data Lakes, 2nd Edition","uiFormat":"book","uri":"/library/view/-/9781492033004/"},{"apiUrl":"/api/v1/book/9781786305855/","authors":["Anne Laurent","Dominique Laurent","Cédrine Madera"],"contentFormat":"book","continueUri":"/api/v1/continue/9781786305855/","coverUri":"/library/cover/9781786305855/","description":"The concept of a data lake is less than 10 years old, but they are already hugely implemented within large companies. Their goal is to efficiently deal with ever-growing volumes of heterogeneous data, while also facing various sophisticated user needs. However, defining and building a data lake is still a challenge, as no consensus has been reached so far. Data Lakes presents recent outcomes and trends in the field of data repositories. The main topics discussed are the data-driven architecture of a data lake; the management of metadata – supplying key information about the stored data, master data and reference data; the roles of linked data and fog computing in a data lake ecosystem; and how gravity principles apply in the context of data lakes. A variety of case studies are also presented, thus providing the reader with practical examples of data lake management.","identifier":"9781786305855","issued":"2020-06-03","ourn":"urn:orm:book:9781786305855","model":"recommendations_usage_based","score":0.619731784,"title":"Data Lakes","uiFormat":"book","uri":"/library/view/-/9781786305855/"},{"apiUrl":"/api/v1/book/9781492088899/","authors":["Alex Gorelik"],"contentFormat":"book","continueUri":"/api/v1/continue/9781492088899/","coverUri":"/library/cover/9781492088899/","description":"A revolution is occurring in data management regarding how data is collected, stored, processed, governed, managed, and provided to decision makers. The data lake is a popular approach that harnesses the power of big data and marries it with the agility of self-service. With this report, IT executives and data architects will focus on the technical aspects of building a data lake for your organization. Alex Gorelik from Facebook explains the requirements for building a successful data lake that business users can easily access whenever they have a need. You'll learn the phases of data lake maturity, common mistakes that lead to data swamps, and the importance of aligning data with your company's business strategy and gaining executive sponsorship. You'll explore: The ingredients of modern data lakes, such as the use of different ingestion methods for different data formats, and the importance of the three Vs: volume, variety, and velocity Building blocks of successful data lakes, including data ingestion, integration, persistence, data governance, and business intelligence and self-service analytics State-of-the-art data lake architectures offered by Amazon Web Services, Microsoft Azure, and Google Cloud","identifier":"9781492088899","issued":"2020-11-25","ourn":"urn:orm:book:9781492088899","model":"recommendations_usage_based","score":0.490731418,"title":"What Is a Data Lake?","uiFormat":"book","uri":"/library/view/-/9781492088899/"},{"apiUrl":"/api/v1/book/9781492049517/","authors":["Holden Ackerman","Jon King"],"contentFormat":"book","continueUri":"/api/v1/continue/9781492049517/","coverUri":"/library/cover/9781492049517/","description":"Big data and advanced analytics have increasingly moved to the cloud as organizations pursue actionable insights and data-driven products using the growing amounts of information they collect. But few companies have truly operationalized data so it’s usable for the entire organization. With this pragmatic ebook, engineers, architects, and data managers will learn how to build and extract value from a data lake in the cloud and leverage the compute power and scalability of a cloud-native data platform to put your company’s vast data trove into action. Holden Ackerman and Jon King of Qubole take you through the basics of building a data lake operation, from people to technology, employing multiple technologies and frameworks in a cloud-native data platform. You'll dive into the tools and processes you need for the entire lifecycle of a data lake, from data preparation, storage, and management to distributed computing and analytics. You’ll also explore the unique role that each member of your data team needs to play as you migrate to your cloud-native data platform. Leverage your data effectively through a single source of truth Understand the importance of building a self-service culture for your data lake Define the structure you need to build a data lake in the cloud Implement financial governance and data security policies for your data lake through a cloud-native data platform Identify the tools you need to manage your data infrastructure Delineate the scope, usage rights, and best tools for each team working with a data lake—analysts, data scientists, data engineers, and security professionals, among others","identifier":"9781492049517","issued":"2019-07-25","ourn":"urn:orm:book:9781492049517","model":"recommendations_usage_based","score":0.487271369,"title":"Operationalizing the Data Lake","uiFormat":"book","uri":"/library/view/-/9781492049517/"}],"titleOurn":"urn:orm:book:9781119786160","productServiceData":{"data":[],"message":"OK","status":"OK","totalResultCount":0}},"query":{"queryKey":["commonData","9781119786160"]}}},"actionData":null,"errors":{"0-0-1-1":{"status":404,"statusText":"","data":"Content not found","internal":false,"__type":"RouteErrorResponse"}}}

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