We’re temporarily suspending work on Hadoop as a target platform for dimensional data warehouses.
Six to twelve months ago the future of the platform looked bright, with SQL-on-Hadoop vendors bringing out new versions at a rapid pace.
Lately, that pace has slowed to a crawl. We still don’t have wide-spread implementation of an UPDATE statement, and that makes it difficult to process slowly changing dimensions, and accumulating snapshot fact tables.
We’ve been working around this lack by reprocessing the data outside Hadoop. This meant reading and rewriting entire tables, and as the size of our test warehouses grew, it became clear that this was not a better solution than using an RDBMS.
When more complete SQL-on-Hadoop implementations become available we will revisit this decision. Until then, Hadoop will continue to be a supported data source for Ajilius.