Big Data, Big Problem.
Every two days we create as much information as we did from the dawn of civilization up until 2003. — Eric Schmidt, Google
Data, it’s at the heart of every StoredIQ customer problem – whether it’s eDiscovery, records management, compliance or storage management. Knowing where data is, mapping data, finding data, organizing data, deleting data, moving data…corporations today have a Big Data problem. The results of an IBM survey will come as no surprise to many corporations struggling with daily data management. The recent survey of 1000’s of CIOs found that insight and intelligence about Big Data was their #1 priority over the next 3 years. The acceleration of Big Data and the host of challenges it brings to corporations is why StoredIQ has launched a new online community dedicated to addressing the Big Data problem.
Big Data Bytes Community
Big Data Bytes is an open community and thought leadership blog that provides new information and insight into how to reduce the risk, cost and complexity of managing Big Data. Authored by Phil Myers, chief executive officer, and Tom Bishop, chief technology officer, at StoredIQ, the blog presents current and relevant data “bytes,” focused on creating a conversation about the technologies, trends and business use cases that are driving the revolution in business pertaining to Big Data. The blog can be found at www.bigdatabytes.com.
Big Data Bytes is a valuable resource for those concerned with managing the ever-growing influx of data. With support from our industry advisory board experts, our main aim is to share stories we hear and see about the innovations and breakthroughs that are happening in Big Data. The blog is an open platform for timely, thought-provoking exchange with a community that represents a broad range of industries, and shares the goal to stay abreast of market changes, product requirements, as well as industry dynamics and growth. We hope that you’ll subscribe to the Big Data Bytes community, and start sharing your own Big Data bytes.
Share TOPICS: Big Data
Recent Comments