Hadoop
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3 big data platforms look beyond Hadoop
Learn how the Cloudera, Hortonworks, and MapR data platforms are evolving to meet the demands for real-time analytics and machine learning
How Arcadia Data brings self-service BI to the data lake
The data lake is a new approach to data management that requires a new approach to analytics
21 hot programming trends—and 21 going cold
Hot or not? From the web to the motherboard to the training ground, get the scoop on what’s in and what’s out in app dev
What’s new in Apache Spark? Low-latency streaming and Kubernetes
Continuous processing and native Kubernetes support in Apache Spark 2.3 spell the end for micro-batching and Hadoop
Dawn of intelligent applications
The future is intelligent applications. Learn how companies are shifting from big data to intelligent application approaches
7 technology trends to watch in 2018
As we say goodbye to 2017, here’s my take on important tech trends worth keeping your eye on in the year ahead
What is Apache Spark? The big data analytics platform explained
Fast, flexible, and developer-friendly, Apache Spark is the leading platform for large-scale SQL, batch processing, stream processing, and machine learning
All your streaming data are belong to Kafka
Apache Kafka continues its ascent as attention shifts from lumbering Hadoop and data lakes to real-time streams
12 'hot' technologies not living up to the hype
A dozen technologies that will disappoint you soon, if they aren't disappointing you already
The siren song of Hadoop
Hadoop provides power and versatility for data scientists, at the cost of complexity.
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