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5 Skills You Need to Build Predictive Analytics Models

These five competencies are required to build a successful predictive model.

Data Models: Beauty Is in the Eye of the Implementer

The data vault model and data warehouse automation are worth investigating if you are about to embark on a new data warehouse project.

Small Is Beautiful: The Value of Structured Data

Although big data continues to grow in importance, it may be simple, structured data that will give you all the answers you need.

The Future of Big Data is Cloudy -- and Bumpy

Although 72 percent of companies are planning to deploy big data in the cloud, the migration path is not always smooth. These tips will help you avoid some common potholes.

Why You Will Soon Use Deep Learning

Easy-to-use tools for deep learning will soon become available for mainstream consumption via packaged and SaaS applications as well as function-specific libraries.

Managing the Data Lake Monster

Data lakes offer organizations many positives, but they also have the potential to grow aimlessly, consuming an ever-larger share of storage, computing horsepower, technology personnel, and budget.

Does Google's Cloud Spanner Database Cheat Space-Time?

Cloud Spanner, Google's globally distributed database, has been released. One expert says it even breaks the speed of light.

Wanted: A Data Architecture for On-Demand Data Access

The way we integrate and provision data is incompatible with the requirements of new use cases such as data science.

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Q&A with Jill Dyché

Find out what's keeping teams up at night and get great advice on how to face common problems when it comes to analytic and data programs. From head-scratchers about analytics and data management to organizational issues and culture, we are talking about it all with Q&A with Jill Dyche.

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