The power of data analytics
Oracle database is one of most wanted skill perhaps until today. As far as I know, compared to its rivals such as MySQL and Postgres, its installation requires substantial effort. The application itself also draws huge memory and storage. Today, Oracle is contained in a ready-to-use container. Only in minutes, an Oracle instance could be … Read moreSpin up Oracle database in minutes using Docker
Interesting to see IBM demo about how blockchain will change the way people do coffee trading thru smart contracts among supply chain actors. Some captured slides: https://www.dropbox.com/sh/p1wuu2fvl0ikx63/AAABVkF7ULHReUUW4dMfwZvEa?dl=0
The rise of time-series database is accelerated by massive IoTs. It can provide users low latency queries & distributed storage. Competition of TSDB vendors is dynamic and progressive on which newcomers introduce better & better performance and functionalities. The full comparison is as follows. https://docs.google.com/spreadsheets/d/1sMQe9oOKhMhIVw9WmuCEWdPtAoccJ4a-IuZv4fXDHxM/edit#gid=0
In any good IT platform, main features must be prepared in front, by-design. Scalability and high availability are two must-have capabilities in any big data system today. Out-of-service, inaccessible, server busy, and too long response time are some issues that are avoided by any organization for years. Impressed by the performance of Influxdb compared to … Read moreInfluxDB cluster: Setup & Installation
I think one of the promising technology in the next couple of years is the use of GPU for accelerating any kinds of job. One of the company follows the direction is OmniSci (formerly MapD). They have a live demo showing how fast GPU processes almost 400 million tweets and visualizes them geographically in less … Read moreGPU Database