Caching Data in SQL Server with In-Memory and JSON

Please join me as I explain how to create NoSQL caching engine in SQL Server

Caching data is an important concept of successful projects. If your data does not change that much, cache it! Do not try to select same data repeatedly. There are many products can help you with caching. Usually, these products are not free, and you may need to learn a new language or technology to use them. You can easily create powerful cache system by using JSON and In-Memory tables of SQL Server. Please join me as we create a NoSQL Cache solution by using only SQL Server.

Speaker

Hasan Savran is Microsoft Data Platform MVP, BI Architect and Microsoft Certified Solutions Developer. He has a unique 13 years background in Information Technology and Business Intelligence systems.

Hasan Savran's Sessions

SQL Server vs Azure Cosmos DB

Cost cutting strategies for Azure Cosmos DB

Performance tuning for Azure Cosmos DB

Starting with Azure SQL Edge on Raspberry Pi

Ways to connect Azure Cosmos DB and cache data

What do Graph Tables bring to the table

Azure Cosmos DB Partitioning 101

Caching Data in SQL Server with In-Memory and JSON

Graph Tables in Action

Handling Hierarchial Data in SQL Server

How does Azure Cosmos DB work under the hood?

Introduction to Spatial Data Analysis in SQL Server

New SQL Server Features for Developers