TDWI Upside - Where Data Means Business

IT and Enterprise Management


Strategies for Data Platform Consolidation

Data platforms must play their real, architected roles in your environment. Platform consolidation can save you money and headaches.

A New, Converged Approach to Data and Application Integration

Think of "hybrid integration" as a new paradigm for data and application integration. It's tailor-made for enterprises in which IT resources live both on premises and in the cloud.

Google Ups the Ante on AI

Google forges ahead with powerful techniques and discoveries in artificial intelligence. Where are examples of their application to BI to be seen?

Alexa, Will Chatbots Be the Future of BI?

Chatbots are all the rage because of their easy-to-use interface for end users. Several tech giants have opened platforms that allow companies across all industries to take advantage of this technology as a front end for their business intelligence systems.

The Problem with Bimodal IT

Bimodal IT cannot deliver on its aims because it misses the organizational and personal aspects of an integrated, high-speed, digital business.

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.

Interest in Spark Shows No Signs of Cooling Off

The Apache Spark cluster computing framework is widely used in the enterprise, and most adopters expect to increase their use of Spark over the next year, according to a recent survey of big data professionals.

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.

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