How to make tea: an illustrated introduction to functions

Functions are a fundamental part of programming. This post introduces the concept by asking a computer to make tea

Improve performance by reducing data movement over the network

Series: An introduction to Kinetica

Moving data over the network is the biggest performance bottleneck in a distributed system. Kinetica addresses this using its data distribution features and an integrated analytics suite that allows you to run complex analysis within the database.

3. Common data operations in OLAP

Series: An introduction to OLAP

Most OLAP queries use the following data operation

Vectorized performance on the petabyte scale

Series: An introduction to Kinetica

Hard disks are 100,000 times slower than memory. Kinetica’s memory first architecture prioritizes the use of system memory to avoid this bottleneck. But memory is expensive and storing everything in it can quickly become cost prohibitive. Kinetica addresses this using a native columnar data format and tiered storage.

2. Bring it all together with data warehousing

Series: An introduction to OLAP

Complex queries require data from different sources to be brought together under a single analytical framework. A data warehouse helps to do this.