In modern data infrastructures, data comes from everywhere:
Business systems like CRM and ERP, sensors used to gather machine-generated data, tweets and other social media data, Web logs and data streams, gas and electrical grids, and mobile networks to name a few.
With all this data from so many places, companies often face challenges in simply storing and managing these volumes, never mind performing analytics at scale on that data.
To manage the volume, velocity, and variety of the data, newer, more innovative Big Data analytics platforms
have emerged to keep up with the sheer size and complexity. While most of the newly created data is unstructured or semi-structured (email, text, IM, log files), it is the job of these emerging Big Data analytics databases to combine the known with the unknown to deliver value in ways never before possible. From data monetization to customer retention to compliance to traffic optimization, enterprises that embrace Big Data analytics platforms are changing the dynamics of industries from retail to healthcare to telecommunications
to energy and beyond. Increasingly, organizations are supplementing or replacing their legacy enterprise data warehouse with the Vertica Analytics Platform for these reasons.