IDEAS SoCal Data Science Conference 2017

Data without analytics are wasted resources. Analytics without a modern data architecture is useless. With next-gen capabilities like machine learning and automation emerging, how do you set yourself up for success?

Many enterprises are finding success with an architecture that has a data lake at the core because a data lake offers the agility and scalability that is required for big data. However, not all data lakes are able to deliver analytics at the speed needed to make a disruptive difference among their competition.

With a majority of Hadoop implementations failing to make it to production, it is critical to add a big data management platform to operationalize, automate and optimize your data lake for success.