Hansamali Gamage

Wednesday, March 21, 2018

Data Community Meetup - March 2018

Databases: On-premise to the Cloud

Session Abstract: These days, everything from A to Z is accelerated towards the cloud. So are traditional databases. Database as a service (DBaaS) is offered via a variety of relational and NoSQL databases. Their applications, however are among the hot topics in the tech world. When you migrate a traditional database to the cloud, would you choose relational or NoSQL? Join this session as Dilini and Hansamali explore how a single data set can be perceived from both Relational (Azure SQL Database) and NoSQL (Azure Cosmos DB) viewpoints and see the considerations and processes for choosing the database type, migrating and implementing a database on Azure.

Event : https://www.meetup.com/sldatacommunity/events/248735665/

Related Blogs:

Saturday, March 10, 2018

DataCamp Singapore - 2018

Azure Cosmos DB, make a complex data set simple

Session Abstract: Azure Cosmos DB is an evolution of Azure Document DB.

It's the industry first globally distributed database service, allow you to scale storage and throughput across many geographical regions with promising low latency.

Cosmos DB supports for multi model database, different types of database engines like key-value, document, graph and multi API support like SQL, Azure Table Storage, Gremlin, MongoDB.

Let's see in action with a demo, how you can transfer your complex data into a simpler format with Document API and scale it in different regions with specific storage and throughput.

Event : https://www.meetup.com/mssgug/events/247292374/

Blog: Azure Cosmos DB: Designing your data structure

Related Blogs : Explore Azure Cosmos DB - document API

Slides : Azure Cosmos DB

Saturday, January 13, 2018

SQLSaturday Malaysia - 2018

Let's make a complex dataset simple using Azure Cosmos DB

Session Abstract: Azure Cosmos DB is an evolution of Azure Document DB.

It's the industry first globally distributed database service, allow you to scale storage and throughput across many geographical regions with promising low latency.

Cosmos DB supports for multi model database, different types of database engines like key-value, document, graph and multi API support like SQL, Azure Table Storage, Gremlin, MongoDB.

Let's see in action with a demo, how you can transfer your complex data into a simpler format with Document API and scale it in different regions with specific storage and throughput.

Event : https://www.sqlsaturday.com/702/Sessions/Schedule.aspx

Blog: Azure Cosmos DB: Designing your data structure

Related Blogs : Explore Azure Cosmos DB - document API

Slides : Azure Cosmos DB

Monday, January 8, 2018

TechNet Wiki Interview

TechNet Wiki Interview in 2018

I got the privilege to get interviewed by TechNet for my contributions to the community

Blog : Interview with a ASP.NET Wiki Ninja – Hansamali Gamage