Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” This week’s question is from a reader who seeks a discussion of missing data handling methods such as imputation.
IBM (NYSE: IBM) today announced that Stuttgarter Straßenbahnen AG (SSB), a leading German public transportation company, has turned to IBM Cloud, Software Defined Storage and Flash to improve business application performance and customer response times.
Actian Corporation, delivering an end-to-end big data analytics platform running natively in Hadoop, announced that clean energy provider Slingshot Power is using the Actian Analytics Platform – Hadoop SQL Edition™ to more accurately target customer segments, optimize system performance, tailor recommendations, and predict the ideal pathway for every American home to achieve energy independence.
Welcome back to our series of articles sponsored by Intel – “Ask a Data Scientist.” Once a week you’ll see reader submitted questions of varying levels of technical detail answered by a practicing data scientist – sometimes by me and other times by an Intel data scientist. This week’s question is from a reader who wants to know more about the “curse of dimensionality.”
The panel discussion video below comes from the Los Angeles Spark Users Group. The talk fosters a lively discussion on Spark’s initial goals, where it came from and what the future holds for Spark. Many leading Big Data vendors are responding by introducing Spark’s capabilities into their architectures. The panel discussion is between the top Hadoop distribution vendors – Cloudera, MapR, and Pivotal.
This week’s visualization choice was selected because it really hit home for me living in Los Angeles. Just in case you’re not familiar with our plight here in Hollyweird, we have a case of perpetual summer and severe drought conditions which when coupled together have produced a rather harsh climate in which to live.
Welcome to the first article in a weekly series called “Ask a Data Scientist.” Once a week until you’ll see reader submitted questions answered by a practicing data scientist. Think of this new insideBIGDATA feature as a valuable resource for you to get up to speed in this flourishing area of technology. If you have a big data question you’d like answered, please just enter a comment below, or send me an e-mail.