Upside


How Machine-Learning Techniques Use Methods (Part 2 in a Series)

These six machine-learning techniques are worth getting to know.

Data Digest: Securing IoT, Selecting BI Tools, and IoT and Advertising

A checklist for proper IoT security, plus best practices for picking a big data BI tool and tips for unlocking that latent potency of IoT in advertising.

Doling Out Bragging Rights for Advanced Analytics

SAS, IBM, KNIME, RapidMiner, and Microsoft posted strong showings in Gartner’s February 2016 Magic Quadrant for Advanced Analytics Platforms report, though Microsoft fell short of market leadership.

Extending the Traditional Data Warehouse

How can we include new technologies with our existing DW environment? We present a new architecture that combines the stability and reliability of the older BI architectures while embracing the new and innovative technologies and techniques now available.

Data Digest: Spark v. Hadoop, Cloud Security, and Big Data Frameworks Rundown

Comparing big data frameworks, plus how to secure your cloud computing environment.

The Agony and the Ecstasy of Advanced Analytics

Organizations have embraced analytics with gusto. They've cleared away a good bit of the low-hanging fruit, but what's higher up on the tree is going to be much more difficult to get.

Historical Data: From Data Warehouse to Immutable Blockchain

For data warehousing, the blockchain has the potential to simplify and even eliminate the process of building history.

Out of the Loop: Why Agile Alienates Data Teams and What to Do about It

Five ways to reduce risk and find the opportunities in leaner development processes.

IT in Crisis: Q&A with Jill Dyché

The prevailing phenomenon that seems to be the source for all of IT's problems can be boiled down into a single, simple sentence.