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  • 1
    Online Resource
    Online Resource
    Sebastopol, CA : O'Reilly Media, Inc.
    Language: English
    Pages: 1 online resource (300 pages) , illustrations
    Edition: First edition.
    DDC: 658.8/12
    Keywords: Salesforce (Online service) ; Customer relations Management ; Salesforce (Serveur)
    Abstract: Learn how to implement and manage a modern customer data platform (CDP) through the Salesforce Data Cloud. This practical book provides a concise yet comprehensive overview that shows Salesforce architects, administrators, and developers how to access, store, and manage real-time customer data with the Data Cloud and build out calculated, streaming, and visual insights. Author Joyce Kay Avila also shows you how to leverage Salesforce's third-party platform integrations, including Snowflake and Amazon Web Services, to combine data from a variety of sources. You'll learn how to effectively communicate with both internal and external stakeholders about Salesforce Data Cloud and CDPs, identify use cases where the Data Cloud platform would be a good implementation solution, and utilize AI within the platform.
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : O'Reilly Media, Inc. | Boston, MA : Safari
    ISBN: 9781098103798 , 1098103793
    Language: English
    Pages: 1 online resource (65 pages)
    Edition: 1st edition
    Parallel Title: Erscheint auch als
    Keywords: Electronic books ; local ; Electronic books
    Abstract: Snowflake's ability to eliminate data silos and run workloads from a single platform creates opportunities to democratize data analytics, allowing users at all levels within an organization to make data-driven decisions. This clear, comprehensive guide will show you how to build integrated data applications and develop new revenue streams based on data. The author deftly unravels complex topics, provides hands-on SQL examples, and reveals how you can use the Snowflake Data Cloud to avoid replatforming or migrating data unnecessarily. You'll learn how to: Efficiently capture, store, and process large amounts of data at an amazing speed Rapidly ingest and transform real-time data feeds in both structured and semistructured format and deliver meaningful data insights within minutes Use Time Travel and Zero-Copy cloning to produce a sensible data recovery strategy that balances the need for system resilience with ongoing storage cost Securely share data and reduce or eliminate data integration costs by accessing fresh, ready-to-query data sets available within the Snowflake Data Marketplace
    Note: Online resource; Title from title page (viewed September 25, 2022) , Mode of access: World Wide Web.
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  • 3
    Language: English
    Pages: 1 online resource (1 video file, approximately 4 hr., 19 min.)
    Edition: 1st edition
    Keywords: Electronic videos ; local
    Abstract: Storing, processing, and moving data in the cloud efficiently and cost-effectively is a must for working with today’s enormous datasets. Data lakes answered the problem of silos found in many data warehouses. But as the pendulum swings back, there's a growing need for an additional solution that combines the strengths of both models, a need that’s led to the emergence of the data lakehouse. But with the number of data storage systems available, it can be hard to figure out which option is right for you. In this event, you'll gain insights on how to increase the scalability, speed, and availability of your data, along with best practices for utilizing your data warehouse, data lake, or data lakehouse. Join in to learn how to make the right decisions for your particular use case. What you’ll learn and how you can apply it Get an overview of the latest technologies for storing and managing your data Learn how to build a performant and scalable data lake Explore design considerations to make your data warehouse robust and reliable Discover the full management, storage, and analytics capabilities of a data lakehouse Understand how to apply data observability principles for your data lake This course is for you because… You need to know the latest trends in storing, processing, and managing data. You want to improve the scalability, speed, and availability of your data. You work with a variety of data sources that need to be pulled together and analyzed. You want to better understand the systems that you already use and learn how to take full advantage of their capabilities. Recommended follow-up: Read Automating the Modern Data Warehouse (report) Read The Enterprise Big Data Lake (book) Read What Is a Data Lake? (report)
    Note: Online resource; Title from title screen (viewed August 10, 2021) , Mode of access: World Wide Web.
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