Andrew C. Oliver

Columnist

Andrew C. Oliver is director of product marketing and evangelism at Couchbase, a provider of open source NoSQL database products.

We have the big data tools -- let's learn to use them

We have the big data tools -- let's learn to use them

Few enterprises enjoy even the first-order benefits of big data. The real payoff will come when we interact with systems much less than we do today

8 reasons you'll do big data this year

8 reasons you'll do big data this year

To know what people are really doing with big data technology, you need to get dirty in the trenches. Here's what we've found

8 horrifying Hollywood computing cliches

8 horrifying Hollywood computing cliches

We've all rolled our eyes at ridiculous misinterpretations of computer technology on TV or in the movies. These eight seem to pop up again and again

Lies your database is telling you

Lies your database is telling you

A wise person once said time is a device invented to keep everything from happening at once. Jonas Boner explains how the database world has abused time from the beginning

EclairJS sweetens Spark for JavaScript coders

EclairJS sweetens Spark for JavaScript coders

What? JavaScript instead of Scala or Python? The new EclairJS project bridges the language gap, especially if you already know Node.js

Big data needs big security changes

Big data needs big security changes

Access control for big data analytics needs policy-based security that includes context as well as users and roles

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

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

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.

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.

Hadoop is slowly eating conventional analytics

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

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.

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.

How Apache Ranger and Chuck Norris help secure Hadoop

The Hadoop ecosystem has always been a bag of parts, each of which needs to be secured separately -- at least they did need that, until Apache Ranger came to town.

The 7 most common Hadoop and Spark projects

The 7 most common Hadoop and Spark projects

Think you're breaking new ground with your Hadoop project? Odds are it fits neatly into one of these seven common types of projects.

9 big data pain points

Do enough Hadoop and NoSQL deployments, and the same problems crop up again and again. It's time for the industry to nail them sooner rather than later.

Why streaming analytics is such a big deal

Analytics drive decisions, but some decisions shouldn't wait until batch processes complete -- which is why, eventually, we'll all analyze data as it streams in.

Which freaking Hadoop engine should I use?

Which freaking Hadoop engine should I use?

These four truths will help you determine which Hadoop technology to use for the types of workloads you anticipate.

Tip

Big data, big challenges: Hadoop in the enterprise

Fresh from the front lines: Common problems encountered when putting Hadoop to work -- and the best tools to make Hadoop less burdensome.

A better mousetrap: A JSON data warehouse takes on Hadoop

Sure, a NoSQL or JSON data warehouse sounds faddish, but SonarW is a better solution for many.

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