“To thrive in this new age of hyper-change and growing uncertainty, it is now imperative to learn a new competency – how to accurately anticipate the future.”— Daniel Burrus
This goes down quite well with the ISVs which are on the constant surge to map higher potentialities to keep up the time-to-market and abate technological obsolescence prominent in the ever- upsurging competitive market trends. Accurately anticipating the prospecting insights along with full-fledged focussing upon product development hurdles down the profitability margins. Comes the long way ahead here– “the notion of engaging in outsourced product development”!
Apache Spark became popular as an in-memory data processing framework that is frequently used with Hadoop. It is also very quickly transforming into a hub for building of other data-processing products. Recently released, version 2.0 of the SQL-RDBMS-on-Hadoop solution Splice Machine use Spark as either of two processing engines. Incoming work is allocation between them depends is it an OLTP or OLAP workload.
