Big Data Analytics

Big data could revolutionize analytics, databases and enterprise IT.

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The five Vs of customer data platforms

The five Vs of customer data platforms

Customer Data Platforms (CDP) are the hottest marketing technology today, offering companies a way to capture, unify, activate, and analyze customer data. There are five critical things to think about when developing a successful CDP strategy.

April 8, 2021 by

Trifacta goes all in on the cloud

Trifacta goes all in on the cloud

The last of the independent data prep players still standing is now making a major pivot to the cloud that will take the equivalent of its Google Cloud Dataprep service across AWS and Azure. Beyond data prep, the new Trifacta cloud service will cover data cleansing, validation, profiling, and monitoring of data pipelines.

April 6, 2021 by

Azure Synapse Analytics data lake features: up close

Azure Synapse Analytics data lake features: up close

Microsoft has added a slew of new data lake features to Synapse Analytics, based on Apache Spark. It also integrates Azure Data Factory, Power BI and Azure Machine Learning. These features are still in public preview, but that's good enough for us to take a visual tour of what's new.

September 9, 2020 by

Pitfalls to Avoid when Interpreting Machine Learning Models

Pitfalls to Avoid when Interpreting Machine Learning Models

Modern requirements for machine learning models include both high predictive performance and model interpretability. A team of experts in explainable AI highlights pitfalls to avoid when addressing model interpretation, and discusses open issues for further research. Images created by Cristoph Molnar: https://twitter.com/ChristophMolnar/status/1281272026192326656

August 20, 2020 by

Streaming becomes mainstream

Streaming becomes mainstream

The endless streams of data generated by applications lends its name to this paradigm, but also brings some hard to deal with requirements to the table: How do you deal with querying semantics and implementation when your data is not finite, what kind of processing can you do on such data, and how do you combine it with data from other sources or feed it to your machine learning pipelines, and do this at production scale?

December 18, 2017 by

Cerebras claims no cluster of machines can match it

Tiernan Ray explains startup Cerebras Systems of Los Altos, California, has built a computer using a single chip the size of an entire silicon wafer. The company has released a scientific paper claiming it can perform scientific problems in computational fluid dynamics in a speed so fast that no existing clustered computer can match it. Read more: https://zd.net/363fVqJ

November 24, 2020 by

IBM DB2 9

IBM DB2 9

IBM's DB2 database adds several powerful new tools in version 9 including native XML support and DB2 Developer Workbench, and offers serious competition to Oracle and Microsoft.

August 31, 2006 by

InFocus LP640

InFocus LP640

Displaying images brightly and sharply, this stylish LCD projector is best suited for boardroom presentations. Read our Australian review.

May 6, 2004 by