Wall Street Traders have long used algorithm to beat the market, but “big data” sets for testing strategies was often hard to come by. Now with emerging technologies such as Hadoop, NoSQL and Storm, traders and investment gurus (Financial Analysts) can dip into non-traditional data sets that previously weren’t accessible. Read More…
GigaOM Structure: Data 2013 Conferences Event 2013:
VIDEO: Four for the Future: Upcoming Database Technologies That Are Not Hadoop
Panelists include: Damian Black, CEO of SQLsteam, Emil Efrim, CEO of NEO Techonlogy /Neo4j, Ryan Garret, VP of Product, MemSQL, and Andrew Cronk, CEO of TempDB.
On Wednesday Aug.21st at 2pm EST Join: Jeffrey Kelly, Wikibon; Joey Jablonski, Kitenga; Christopher Biow, 10gen; Ron Bodkin, Think Big Analytics; John Akred, SVDS for a 60 minute LIVE ROUNDTABLE.
Discussion: In a whirlwind of big data tools like MapReduce, NoSQL, Hadoop, and their cousins and brothers, it’s difficult to understand the stack you need to make your data as useful as possible. How do you decide which tools to use, and once you do decide, how do you make the jump? Read More
Source – www.datasciencecentral.com Posted by Vincent Granville. Guest blog post by Francesca Krihely. Here’s a prediction and a challenge, rolled into one. Whatever the level of your present understanding of Hadoop, in short, […]
By David Loshin | Data Informed – June 7, 2013 | An Introduction to Big Data Application Development & MapReduce. Editor’s note: This article is part of a series examining […]
Published on Mar 1, 2013 via MapR Intro to MapReduce concepts. Explores the flow of a MapReduce program.