Not up for a data lake? Analyze in place

Not up for a data lake? Analyze in place

Spark and big memory have the potential to run big data workloads without copying gobs of data to a new storage infrastructure

01/29/16

Cook up big data orchestration with Kettle

Cook up big data orchestration with Kettle

Hadoop jobs can get complicated. The open source ETL tool Kettle beats the alternatives in providing the orchestration you need

01/21/16

Why Spark 1.6 is a big deal for big data

Why Spark 1.6 is a big deal for big data

Already the hottest thing in big data, Spark 1.6 turns up the heat. Here are the high points, including improved streaming and memory management

01/14/16

16 for '16: What you must know about Hadoop and Spark right now

16 for '16: What you must know about Hadoop and Spark right now

Amazingly, Hadoop has been redefined in the space of a year. Let's take a look at all the salient parts of this roiling ecosystem and what they mean

01/08/16

10 things to worry about in 2016

10 things to worry about in 2016

Yes, it's the poignant sequel to last week's reprieve: a jolly list of worries to keep you up at night this holiday season

12/18/15

10 things you don't need to worry about in 2016

10 things you don't need to worry about in 2016

Are you ready for 2016? Of course you aren't -- you don't even want to think about it. If you need excuses for your lack of forethought, read on

12/10/15

Up close with Google's Angular 2 JavaScript framework

Up close with Google's Angular 2 JavaScript framework

Here's all you need to know about Angular 2, the exciting new successor to Google's wildly popular JavaScript framework, AngularJS

12/03/15

We don't need a million new Spark jockeys

We don't need a million new Spark jockeys

Spark may have taken big data by storm, but IBM's promise to train a million people on Spark goes too far, mainly because the technology is evolving too fast

11/19/15

5 things we hate about Spark

5 things we hate about Spark

Spark has dethroned MapReduce and changed big data forever, but that rapid ascent has been accompanied by persistent frustrations

11/12/15

Joyent: The Docker-friendly cloud you’ve never heard of

Joyent: The Docker-friendly cloud you’ve never heard of

Joyent started the container party, later validated by Docker. Despite superior technology, does an independent public cloud like Joyent have a chance?

11/05/15

Why client-server must die

Why client-server must die

Old models of computing always tend to linger too long, but client-server was based on a fallacy -- and needs to go away sooner rather than later

10/29/15

All the cool companies are doing big data

All the cool companies are doing big data

A survey from Dell says that growth companies are turning to big data in droves

10/22/15

9 developer trends you can bank on in 2016

9 developer trends you can bank on in 2016

From containers to NoSQL to Spark, here are the IT trends you can expect to persist next year

10/15/15

NoSQL simply isn't hip anymore

NoSQL simply isn't hip anymore

The once red-hot database technology is losing its luster, as NoSQL reaches mass adoption

10/08/15

Why self-service is everything in BI and big data

Why self-service is everything in BI and big data

Empower users to acquire and manipulate the data they really need, and BI can become a magnitude more useful -- and much less work for IT

10/01/15

6 takeaways from Cloudera's embrace of Spark

6 takeaways from Cloudera's embrace of Spark

It's official: The Hadoop ecosystem has received a brain transplant. Here's how Cloudera, the leading Hadoop vendor, laid out the implications of swapping MapReduce for Spark

09/25/15

Hadoop is slowly eating conventional analytics

Hadoop is slowly eating conventional analytics

The components of the Hadoop ecosystem won't overthrow Teradata or IBM Netezza any time soon, but ultimately, the commodity solution almost always wins

09/24/15

Hadoop, in trouble? Only in Gartner-land

Hadoop, in trouble? Only in Gartner-land

A new poll of customers provides a brighter, more detailed picture of Hadoop adoption than Gartner's famously downbeat survey

09/17/15

The big greenfield cannabis cloud

The big greenfield cannabis cloud

The marijuana business is making the leap from paper ledgers to the cloud and big data analytics, offering a provocative example for us all

09/10/15

15 rules for quitting your job

15 rules for quitting your job

We all have our reasons for quitting a job, some of them emotional. Follow these guidelines and you'll avoid making moves you'll later regret

09/03/15

Load More