When big data is truly better

When big data is truly better

Take advantage of scale when past experience indicates greater analytic value will result. But big data is not a hammer -- nor is every problem a nail

09/04/14

Can a machine detect sarcasm? Yeah, right

Applying analytics to social media? Good luck -- not all words can be taken at face value. Natural language processing helps, but it's no panacea

07/25/14

What's machine learning? It depends on who you ask

As interest in machine learning has grown, its definition has expanded to include a panoply of techniques for automating knowledge and pattern discovery from fresh data

06/23/14

Big data log analysis thrives on machine learning

Huge quantities of log data generated by all sorts of devices opens immense potential for insight, but machine learning is needed to make sense of it

06/18/14

Too big, too small, or just right? Balancing your social connections

An MIT professor analyzes social graph data to find where influence meets connectedness -- and how to maximize it

06/05/14

Never put everything in one database basket, even if it's Hadoop

Those who recommend putting everything in a Hadoop data lake forget some obvious lessons of database history

05/16/14

Machine learning floats all boats on big data's ocean

Machine learning is the unsung hero that powers many of the most sophisticated big data analytic applications

02/28/14

Cognitive computing can take the semantic Web to the next level

As big data analytics pushes deeper into cognitive computing, it needs to bring the semantic Web into the heart of this new age

01/30/14

Big data demands nonstop experimentation

Predictive modeling needs the dynamic experimentation of big data to discern true, underlying correlations. Some organizations are ready for that disruption -- and some aren't

12/12/13

YARN unwinds MapReduce's grip on Hadoop

Hadoop has been known as MapReduce running on HDFS, but with YARN, Hadoop 2.0 broadens pool of potential applications

11/22/13

Sometimes it's OK to treat people like numbers

After all, the customers' own Web activity fuels analytic models, but a caveat: The data can grow too complex

10/17/13

Devops can take data science to the next level

For data scientists, creating a perfect statistical model is all for naught if the compute power required is prohibitive. We need tools to assess the performance impacts of modeling alternatives

09/20/13

Big data means big challenges in lifecycle management

No matter what its size or variety, data must still be managed through its lifecycle, even when the tools are immature

08/15/13

Graph analysis will make big data even bigger

Social networks transformed the Internet into a complex web of relationships; social graph analysis offers a way to understand those relationships

07/25/13

Big data needs data virtualization

To fulfill the promise of big data, you need to abstract data from its underpinnings -- at both the data and infrastructure layers

06/20/13

There's no shortage of data science smarts

Powerful new big data tools demand analytics expertise -- but a growing body of shared knowledge and a new generation of self-taught experts will fill the gap

05/16/13

Finding gems in big data archives

Big data needn't be fast-moving to be sexy. Archives tend to be the largest data stores -- and among the most valuable

04/11/13

When you should put big data in the cloud

Cloud services have an important role to play in big data, especially for short-term jobs or applications where the bulk of data is already in the cloud

03/21/13

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