High-velocity, high-volume, and high-variety data streams challenge analytics organizations as the ability to get critical insights often decays rapidly or becomes lost in the sea of unnecessary information. And as regulations increase, companies need to be able to manage the massive influx of data from multiple sources to streamline information across the enterprise. The answer is to converge data management technologies.
In this session, discuss how a broad range of organizations use metadata management to:
•Find the right analytics systems for their current analytics architectures and specific performance needs.
•Dramatically speed analytics by eliminating the reliance on time-consuming data preparation, including indexing and ETL (Extract, Transform, Load) processes.
•Leverage new data coming from AI and IoT
•Tap into the power of new, simple-to-use heterogeneous computing systems to use the right tool for each job
•Transform data analytics to streamlined ecosystems that fit your enterprise’s needs