Data superstream: Data lakes and warehouses 2024
Sponsored by Dremio Storing, processing, and moving data efficiently and cost-effectively in the cloud is a must for working with today's enormous datasets. These expert-led sessions deliver insight into how to increase the scalability, speed, and availability of your data and equip you with a...
Gespeichert in:
Weitere beteiligte Personen: | , , , , , , , |
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Format: | Elektronisch Video |
Sprache: | Englisch |
Veröffentlicht: |
[Place of publication not identified]
O'Reilly Media, Inc.
2024
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Ausgabe: | [First edition]. |
Schlagwörter: | |
Links: | https://learning.oreilly.com/library/view/-/0790145480347/?ar |
Zusammenfassung: | Sponsored by Dremio Storing, processing, and moving data efficiently and cost-effectively in the cloud is a must for working with today's enormous datasets. These expert-led sessions deliver insight into how to increase the scalability, speed, and availability of your data and equip you with a set of best practices for utilizing your data warehouse, data lake, or data lakehouse. What you'll learn and how you can apply it Get an overview of the latest technologies for storing and managing your data Learn best practices for standardizing lakehouse data modeling and pipelining Find out how to streamline data lake implementation Explore how to securely develop and implement ML models on a cloud data warehouse Discover the benefits of data contracts in the modern data stack Understand how to enhance lakehouse infrastructure for multimodal AI This Superstream recording is for you because... You're a data or software engineer or solution architect who's interested in learning about the latest trends in storing, processing, and managing data. You want to improve the scalability, speed, and availability of your data. 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 Deciphering Data Architectures (early release book) Read Practical Lakehouse Architecture (early release book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event. |
Beschreibung: | Online resource; title from title details screen (O'Reilly, viewed February 20, 2024) |
Umfang: | 1 Online-Ressource (1 video file (3 hr., 31 min.)) sound, color. |
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spelling | Data superstream Data lakes and warehouses 2024 Data lakes and warehouses 2024 [First edition]. [Place of publication not identified] O'Reilly Media, Inc. 2024 1 Online-Ressource (1 video file (3 hr., 31 min.)) sound, color. zweidimensionales bewegtes Bild tdi rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Online resource; title from title details screen (O'Reilly, viewed February 20, 2024) Sponsored by Dremio Storing, processing, and moving data efficiently and cost-effectively in the cloud is a must for working with today's enormous datasets. These expert-led sessions deliver insight into how to increase the scalability, speed, and availability of your data and equip you with a set of best practices for utilizing your data warehouse, data lake, or data lakehouse. What you'll learn and how you can apply it Get an overview of the latest technologies for storing and managing your data Learn best practices for standardizing lakehouse data modeling and pipelining Find out how to streamline data lake implementation Explore how to securely develop and implement ML models on a cloud data warehouse Discover the benefits of data contracts in the modern data stack Understand how to enhance lakehouse infrastructure for multimodal AI This Superstream recording is for you because... You're a data or software engineer or solution architect who's interested in learning about the latest trends in storing, processing, and managing data. You want to improve the scalability, speed, and availability of your data. 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 Deciphering Data Architectures (early release book) Read Practical Lakehouse Architecture (early release book) Please note that slides or supplemental materials are not available for download from this recording. Resources are only provided at the time of the live event. Data warehousing Big data Entrepôts de données (Informatique) Données volumineuses Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet Croll, Alistair MitwirkendeR ctb Taylor, Christina MitwirkendeR ctb Merced, Alex MitwirkendeR ctb She, Chang MitwirkendeR ctb Klein, Zack MitwirkendeR ctb Narayanan, Shankar MitwirkendeR ctb Costa, Carlos MitwirkendeR ctb Manohar, Tejas MitwirkendeR ctb O'Reilly (Firm), Verlag pbl |
spellingShingle | Data superstream Data lakes and warehouses 2024 Data warehousing Big data Entrepôts de données (Informatique) Données volumineuses Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
title | Data superstream Data lakes and warehouses 2024 |
title_alt | Data lakes and warehouses 2024 |
title_auth | Data superstream Data lakes and warehouses 2024 |
title_exact_search | Data superstream Data lakes and warehouses 2024 |
title_full | Data superstream Data lakes and warehouses 2024 |
title_fullStr | Data superstream Data lakes and warehouses 2024 |
title_full_unstemmed | Data superstream Data lakes and warehouses 2024 |
title_short | Data superstream |
title_sort | data superstream data lakes and warehouses 2024 |
title_sub | Data lakes and warehouses 2024 |
topic | Data warehousing Big data Entrepôts de données (Informatique) Données volumineuses Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
topic_facet | Data warehousing Big data Entrepôts de données (Informatique) Données volumineuses Instructional films Nonfiction films Internet videos Films de formation Films autres que de fiction Vidéos sur Internet |
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