Follow Datanami:

Vendor » Startups and More...

Features

Intel Exits Hadoop Market, Throws In with Cloudera

Intel today announced it will cease development of its own Hadoop distribution and instead will invest in and promote Cloudera's distribution to its customers. The surprise move confirms a rumor that surfaced last week that had Intel taking a significant stake in Cloudera during its latest round of venture funding. Read more…

Forget the Algorithms and Start Cleaning Your Data

The idea that the combination of predictive algorithms and big data will change the world is a tempting one. And it may end up being true. But for right now, the industry is facing a reality check when it comes to big data analytics. Instead of focusing on what algorithms to use, your big data success depends more on how well you cleaned, integrated, and transformed your data. Read more…

Big Data Unlocks the Secret Behind Women’s Shoes

The relationship between a woman and her shoes is a deep and mysterious one. For centuries, the factors that drive a woman's decision to acquire them have eluded researchers. Now, UK data scientists claim to have cracked the code with a big data-powered application that tears down the wall separating a woman from finding perfect pairs of shoes for every occasion. Read more…

Saffron Gets $7M to Build Brain-Like Learning Machine

Machine learning is all the rage today in the analytics space, but it's not the right big data tool for all circumstances. A company called Saffron Technology today announced it received a $7 million investment to continue building its big data analytic software that mimics how the human brain learns. Read more…

How Big Data Could Be Harming Borrowers

Should big data play a part in determining credit worthiness? Many big data proponents would argue in the affirmative; a number of projects both public and private are successfully using large data sets to predict future behavior. Now the trend has moved into the consumer finance space. A bevy of startups, companies like LendUp, ZestFinance Inc., Think Finance Inc. and others, are leveraging big data technologies to analyze the risk of credit applicants. Read more…

Why 1970s Database Technology Is Still Relevant Today

Max Schireson, chief executive of NoSQL database vendor MongoDB, started a heated conversation two weeks ago when he said that relational database technologies are on their way out because they're too old and ill-suited to handle today's big data processing needs. Not surprisingly, those comments rubbed members of the NewSQL database community the wrong way. Read more…

Databricks Moves to Standardize Apache Spark

Databricks, the company behind open source Apache Spark, today rolled out a certification program that creates a Spark standard that big data analytic application developers can write to, and that customers can rely on. It's a smart move by Databricks, which is looking to avoid the forking that has clouded Hadoop's march into the enterprise. Read more…

Pivotal Refreshes Hadoop Offering, Adds In-Memory Processing

As the commercial Hadoop field grows increasingly competitive, providers of this popular big data framework are working to differentiate their offerings. Pivotal, for one, has been honing the technologies developed and acquired by its parent companies as part of its vision to help enterprises realize the full potential of big data. Read more…

Astronomical Algorithm Powers Data Analytics Startup

Astronomers at the national labs have enjoyed a handy fallback plan when faced with a glut of images that need analysis: grad students. So when researchers at UC Berkeley developed machine learning algorithms that could automatically scan these images, not only did grad students need something else to do between classes, but the developers realized they might have the makings of a winning big data analytics business plan on their hands. Read more…

Google’s Flu Analytics Fail Highlights Big Data’s Shortcomings

Big data has enormous potential for assisting public health efforts, but without sufficient context, numbers can be misleading. Read more…

« More Startups and More... Features
Newer Startups and More... Features »
Datanami