Data Warehousing Goes Realtime : QuotesRealtime ETLThe information created in 2011 will be contained in more than 20 million billion “files”. The IT teams keeping track of all these, will need to decide, in a split second, if, when, and how to store each of them, based on the content. The Diverse and Exploding Digital Universe (IDC, March 2008) Realtime AnalyticsWe don't know yet which computing or Internet companies will be most successful over the next 5-10 years, but one thing is for sure. They'll have to know how to process and make sense of massive quantities of data flowing through the Web - and do it in realtime. The Coming Data Explosion (Richard MacManus, ReadWriteWeb, May 2010) Realtime WebMost of the news related to The Realtime Web these days centers around the adoption of decentralized, push-oriented protocols (PubSubHubbub, RSSCloud) designed to reduce latency in web publishing. Less discussed are the analytic tools that can are capable of crunching through data in realtime. As more of the web moves towards these types of publishing tools, data-driven organizations will demand low-latency analytic tools. Ben Lorica, O'Reilly Radar, October 2009 Realtime DiscoveryCloudscale: Spreadsheet front-end + NoSQL back-end (Defacto universal data exploration telescope + cool new data universe to explore) James Kobielus, Forrester Research, June 2010 |
Cloudscale: The Realtime Data Warehouse
Alert. Clean. Connect. Encode. Filter. Group. Map. Match. Merge. Partition. Rank. Reduce. Reorder. Sample. Sort. Transform. Validate. Window.
