Deep Down Below – Using in-database analytics from within Tableau (with MADlib) zite.to/1yw6ev7
MADlib goes beta! Serious in-database analytics zite.to/1gmCx7i
One of the challenges when analyzing data is having to move it from place to place. A common method for analysis would be to extract data from a data warehouse to then analyze it on a local pc/laptop. Then once the analysis or model build is complete the logic then needs to be transferred back to the data warehouse so it can be put in production. This process can be slow and error-prone.
MADlib is an opensource library of analytic and machine learning functions that can run in-database. By installing them on your database, you won’t need to move the data anymore. Instead, you can move your logic to the data.
Here is How-to: Use MADlib Pre-built Analytic Functions with Impala – check out this post from Cloudera.