PluralSight – Implement Partitioning With Azure

PluralSight – Implement Partitioning With Azure Bookware-KNiSO
English | Size: 52.21 MB
Category: Tutorial


This course will teach you the data partitioning and sharding strategies in relational as well as non-relational cloud stores. Analyze data distribution before migration to Azure
Partitioning is an important strategy to segregate the data based on the partition key and distribute the data evenly across partitions for efficient querying and analysis. In this course, Implement Partitioning with Azure, you’ll learn to apply efficient partitioning, sharding, and data distribution techniques over Azure Cloud Portal for specific services. First, you’ll explore how to design non-relational data stores. Next, you’ll discover designing relational data stores. Finally, you’ll learn how to implement partitioning and sharding strategies over Azure Synapse. When you’re finished with this course, you’ll have the skills and knowledge of data distribution strategies across multiple cloud stores and even implement the global distribution of the data to increase throughput, the performance of the data stores, and availability of the dataset using the Azure Cloud Portal.

Install Notes: Unrar, Learn and Enjoy!

GREETINGS:

KNOWN – HONOR – SKIDROW – DARKSiDERS – DAUDiO – JAVSiDERS – dbOOk – z0ne

Buy Long-term Premium Accounts To Support Me & Max Speed


RAPIDGATOR
rapidgator.net/file/074324fe5a96f807a07bbaacffe31879/PluralSight.Implement.Partitioning.With.Azure.Bookware-KNiSO.rar.html

NITROFLARE
nitroflare.com/view/4D43B3237629C99/PluralSight.Implement.Partitioning.With.Azure.Bookware-KNiSO.rar

If any links die or problem unrar, send request to goo.gl/aUHSZc
About WoW Team

I'm WoW Team , I love to share all the video tutorials. If you have a video tutorial, please send me, I'll post on my website. Because knowledge is not limited to, irrespective of qualifications, people join hands to help me.

Speak Your Mind

This site uses Akismet to reduce spam. Learn how your comment data is processed.