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TDWI Articles

IT and Enterprise Data Management


Necessity, Not Luxury: Automating Testing and Quality Assurance for BI

It was hard enough to manage testing and quality assurance in the old days. In the context of big data, cloud, streaming data, and other still-emerging technologies, automated testing and quality assurance is a necessity, not a luxury.

In Praise of Modular BI

At TDWI's recent Executive Summit in San Diego, Facebook's Justin Ward made a case for what he called "building block" business intelligence.

Data Digest: Data Lake Advice, IoT Subscriptions, IoT Security Problems Continue

How to improve your data lake, how to align your business with the subscription economy, and what to take away from the latest research on IoT security problems.

Data Digest: IoT Security Deadline, Trusting Analytics, Solving Latency Issues

Learn why IoT devices need better security now, why executives don’t fully trust their analytics, and how to resolve data and network latency problems.

Machine Learning Is Bringing More Intelligent Things

According to Gartner, AI and new machine learning techniques will enable a new class of intelligent apps and intelligent things -- along with the emergence of so-called digital twins.

Data Digest: 3 Articles about IoT Botnets and Security

Mitigate future DDoS attacks by learning how manufacturers and users can improve IoT security, how Bluetooth technology may increase IoT security risks, and how IoT botnets are formed.

Benefits of the Hadoop-Based Data Lake

In some emerging best practices, a free-form data lake implemented on Hadoop complements a structured relational data warehouse.

It's Official: Metadata Management Is a Strategic Problem

Gartner recently published its first-ever "Magic Quadrant for Metadata Management Solutions". Managing metadata isn't a new problem but it has certainly become a strategic one.

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