How to build stateful streaming applications with Apache Flink

Apache Flink is a framework for implementing stateful stream processing applications and running them at scale on a compute cluster. In a we examined what stateful stream processing is,...

IDG Contributor Network: Data governance 2.0

At Bristol-Myers Squibb, I have the privilege of working for a company singularly focused on our mission to discover, develop, and deliver innovative medicines that help patients prevail over serious...

Review: Tableau takes self-service BI to new heights

Since I reviewed in 2015, Tableau and Microsoft have : Tableau with intuitive interactive exploration, Microsoft with low price and Office integration. Qlik is still a leader compared to...

IDG Contributor Network: Helping your workforce become data-literate

The core premise of data democratization is that every one of us can use, interpret, and work with data to make organizational decisions. Yet a found only 20 percent...

IDG Contributor Network: Responsible retail: treating customer data with care

Retailers have become so adept at capturing and analyzing consumer data that there is now a real risk that they might alienate customers by revealing just much they know about...

Tech luminaries team up on $27M AI ethics fund

Artificial intelligence technology is becoming an increasingly large part of our daily lives. While those developments have led to cool new features, they've also presented a host of potential problems,...

IDG Contributor Network: Dawn of intelligent applications

Data remains a foundational element of computing. Recently, Hadoop and big data have been a central part of data progression, allowing you to capture data at scale. But companies now...

Q&A: Hortonworks and IBM double down on Hadoop

Hortonworks and IBM recently announced an expanded partnership. The deal pairs IBM’s Data Science Experience (DSX) analytics toolkit and the Hortonworks Data Platform (HDP), with the goal of extending machine learning and...

What is TensorFlow? The machine learning library explained

Machine learning is a complex discipline. But implementing machine learning models is far less daunting and difficult than it used to be, thanks to machine learning frameworks—such as —that ease...

Julia vs. Python: Julia language rises for data science

Of the many use cases Python covers, data analytics has become perhaps the biggest and most significant. The Python ecosystem is loaded with libraries, tools, and applications that make the...

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