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TDWI Articles

When the Relationships in Data Are More Important Than the Data Itself

Neo Technology's Emil Eifrem takes a closer look at the Panama Papers -- and how a powerful graph database made the mining of such huge data files possible.

Are Hadoop's Best Days Behind It -- Or Still Ahead?

Pessimists are predicting the end of Hadoop -- "peak Hadoop," in the words of one influential analyst. Optimists say Hadoop's future is assured. Who's right?

It's the End of the Data Warehouse as We Know It

According to TDWI survey data, about half of all enterprises expect to replace their data warehouse systems -- in some cases, their analytics tools, too -- over the next three years. What should they replace them with?

NoSQL and Hadoop: Document-Based versus Relational Databases

NoSQL and Hadoop have overlapping capabilities but they are not competitors. We examine seven features that differentiate a NOSQL document database from a relational database.

Data Management: 2016’s Hot Trends and What to Watch in 2017

The leading 2016 trends included Hadoop adoption, data lakes, and data warehouse modernization. In 2017 we'll see new activity around the SQL-ization of Hadoop, orchestrated data hubs, and managing IoT sensor data.

Will In-Memory Processing Accelerate Your Azure SQL Workloads?

Microsoft argues that in-memory processing can accelerate OLTP and OLAP workloads. This is true on premises. It's also true -- with a few caveats -- in the cloud.

At re:Invent, Amazon Enhances AWS Yet Again

At the re:Invent conference, Amazon announced a slew of new products, services, and features, including a technology for querying against its S3 storage service and a new AI framework.

Mid-Life Crisis? The Analytics Database Appliance at Middle Age

The analytics appliance is fifteen years old, but tech marketers and some industry experts say there's still plenty of demand for MPP database appliances.

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