Understanding Big Data workloads from the Storage perspective

De-coupling of Compute & Storage in Modern Databases

Databases started as integrated storage-compute solutions providing both a durable persistence layer (storage) as well as a query processing engine (compute). Given the growing variety of data types, changing analytical processing needs…

Under-the-hood of a scale-out Storage Engine

Imagine buying a car — you won`t just look at the color and interiors to make a buy decision (assuming of course that this is not an impulsive buy). You will typically have a few different car models and then compare the price/performance i.e., engine…

Cloud Data Stores — Are you aware of the knobs?

Enterprises are increasingly storing data in the cloud. These Cloud-based Data Stores come in all shapes and sizes: Object-stores (AWS S3), Relational Databases (AWS Aurora, RedShift), NoSQL (AWS DynamoDB), Streaming pipelines (AWS Kinesis)…

What is the role of DBAs in Managed Database Platforms?

Consider the scenario of using a database for your Enterprise application. In the on-prem world, this starts by acquiring the right hardware, deploying the database software, configuring for high availability, backups, and the whole…