For analysts in today’s data-rich environments, it’s humbling to think about where things were just a few years ago. Think of the number of data sources available for analytics in almost any business vertical. Data is overwhelming analysts, exceeding the capacity of scaled-up server architecture and desktop applications. The enhancements available to analysts compound this data overload even more. We collect googles of gigs daily, stored and categorized into hundreds of millions of records per minute. As a result, the ability to derive insights from vast data holdings is increasingly overloaded by the sheer variety and volume of data. Where and when will it end?
Patchwork of Good Ideas
As different organizations dealt with the issue to suit their own needs, companies deployed a wide range of solutions to stay in the game. Data management, data access, and file integrity were a few of the areas getting the attention needed to meet expanding IT demand. While these disparate solutions were working, they weren’t always playing well together. An optimal solution would handle the widening variety of data and their application in a simple, unified, and easy-to-orchestrate manner. It is an essential step in the evolution of data management and enable organizations to unify vital processes:
- DISCOVER | Work smoothly and reliably within existing network infrastructure to find data.
- ANALYZE | Compare items, identify trends, correlate patterns, detect anomalies, and create workflows to easily analyze data sets.
- VISUALIZE | Empower users to sort through and visualize contextual information, decide what they need, and deliver it efficiently.
- DEPLOY | Enable rapid sub-setting, download and synchronization of large datasets to users at the edge.
- PROCESS | Crawl, listen, index, enrich and tag data on network file shares, removable media and databases.
- ACCESS | Access your on-premises data from anywhere with any tool. Open data standards are a way of life, no matter what your tool of choice is.
- MANAGE | Leverage high-performance computing ecosystem management without the risk of data compromise.
