Strata Data Superstream Series - Data Warehouses, Data Lakes, and Data Lakehouses

  • CategoryOther
  • TypeTutorials
  • LanguageEnglish
  • Total size3.7 GB
  • Uploaded Byfreecoursewb
  • Downloads45
  • Last checkedAug. 25th '21
  • Date uploadedAug. 22nd '21
  • Seeders 6
  • Leechers5

Infohash : 9B4A1C1FE5955235F2310F84207D79F533413032

Strata Data Superstream Series: Data Warehouses, Data Lakes, and Data Lakehouses



MP4 | Video: AVC 1920 x 1080 | Audio: AAC 48 Khz 1ch | Duration: 04:19:01 | 3.74 GB
Genre: eLearning | Language: English
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…

Files:

[ FreeCourseWeb.com ] Strata Data Superstream Series - Data Warehouses, Data Lakes, and Data Lakehouses
  • Get Bonus Downloads Here.url (0.2 KB)
    • ~Get Your Files Here !
    • 1 - Welcome and Chris Messina - Keynote—Lakes, Streams, Tags, and Emergence.mp4 (363.1 MB)
    • 2 - Michael Armbrust - Keynote—Emergence of Open Data Lakehouse Architecture for Analytics and ML (Sponsored by Databricks).mp4 (141.8 MB)
    • 3 - Rukmani Gopalan - Designing Scalable, Performant, and Secure Data Lakes for Your Enterprise.mp4 (418.1 MB)
    • 4 - Joyce Avila - Analyzing Data at Scale with a Cloud Data Warehouse.mp4 (609.2 MB)
    • 5 - Harshida Patel - Utilizing the Lake House for Data Storage and Analytics.mp4 (438.5 MB)
    • 6 - Victor Lee - Delivering Smarter AI with Analytical Graph Databases, Data Lakes, and Data Warehouses (Sponsored by TigerGraph).mp4 (326.4 MB)
    • 7 - Barr Moses and Ryan Kearns - Data Observability—How to Build More Reliable Data Warehouses & Lakes.mp4 (597.6 MB)
    • 8 - Paul Lacey - The Lakehouse—Connecting Data and Teams to Bridge the Information Gap (Sponsored by Matillion).mp4 (418.1 MB)
    • 9 - Alicia Moniz - Extending Data Pipelines - Strategies for Getting Data to the Cloud Quickly.mp4 (518.2 MB)
    • Bonus Resources.txt (0.3 KB)

Code:

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