LA Data Platform

Welcome to the LA Data Platform (a.k.a. SQL Malibu SSUG)!

Join us every 3rd Wednesday of every month between 7:00PM and 9:00PM, where we network and discuss SQL Server topics. Our monthly meeting are FREE , casual and EVERYONE is welcome. Hope to see you very soon!!!


LA Data Platform invites you to attend
The MEGA SQL event in Los Angeles - 2019 SQL Saturday in Los Angeles!

SQL Saturday in LA

What is SQL Saturday? PASS SQL Saturday is a free 1-day training event for SQL Server professionals that focus on local speakers, providing a variety of high-quality technical sessions, and making it all happen through the efforts of volunteers.
Hundreds of SQL Server and other IT professionals will be in attendance. With 9 simultaneous tracks potentially offering 50+ sessions in anything from database administration to performance tuning as well as business intelligence and professional development conducted by MVP-grade speakers.
SQL Saturday is an invaluable learning and networking opportunity for SQL professionals and a great way to spend a Saturday.
RSVP here: http://www.sqlsaturday.com/891 

Upcoming Events

Next Meeting

Wednesday,

November

21

Learning Azure Cosmos DB by Leonard Lobel

  • Online @ https://zoom.us/j/731484646
  • 19:00 - 21:00 (UTC-08:00) Pacific Time (US & Canada)
  • Language: English

Learning Azure Cosmos DB

This session presents an overview of Azure Cosmos DB, a globally distributed, massively scalable, low (single-digit millisecond) latency, fully managed NoSQL database service that is designed specifically for modern web and mobile applications. Like other NoSQL platforms, Cosmos DB supports a schema-free data model, built-in partitioning for sustained heavy-write ingestion, and replication for high availability. But only Cosmos DB offers turnkey global distribution, automatic indexing, and SLAs for guarantees on 99.99% availability, throughput, latency, and consistency.

We tour many features of Cosmos DB, including its multi-model capabilities which allow you to store and query schema-free JSON, graph, key/value, and columnar data models. You’ll learn about global distribution, scale-out partitioning, tunable consistency, custom indexing, and more. We’ll also explore client development using the many available SDKs and APIs.

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