Tag Archives: Hue

How-to: Build a Complex Event Processing App on Apache Spark and Drools

Categories: HBase How-to Kafka Spark Use Case

Combining CDH with a business execution engine can serve as a solid foundation for complex event processing on big data.

Event processing involves tracking and analyzing streams of data from events to support better insight and decision making. With the recent explosion in data volume and diversity of data sources, this goal can be quite challenging for architects to achieve.

Complex event processing (CEP) is a type of event processing that combines data from multiple sources to identify patterns and complex relationships across various events.

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How-to: Use HUE’s Notebook App with SQL and Apache Spark for Analytics

Categories: How-to Hue Spark

This post from the HUE team about using HUE (the open source web GUI for Apache Hadoop), Apache Spark, and SQL for analytics was initially published in the HUE project’s blog.

Apache Spark is getting popular and HUE contributors are working on making it accessible to even more users. Specifically, by creating a Web interface that allows anyone with a browser to type some Spark code and execute it.

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How-to: Index Scanned PDFs at Scale Using Fewer Than 50 Lines of Code

Categories: HBase How-to Search Spark

Learn how to use OCR tools, Apache Spark, and other Apache Hadoop components to process PDF images at scale.

Optical character recognition (OCR) technologies have advanced significantly over the last 20 years. However, during that time, there has been little or no effort to marry OCR with distributed architectures such as Apache Hadoop to process large numbers of images in near-real time.

In this post, you will learn how to use standard open source tools along with Hadoop components such as Apache Spark,

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Thrift Client Authentication Support in Apache HBase 1.0

Categories: HBase

Thrift client authentication and doAs impersonation, introduced in HBase 1.0, provides more flexibility for your HBase installation.

In the two-part blog series “How-to: Use the HBase Thrift Interface” (Part 1 and Part 2), Jesse Anderson explained the Thrift interface in detail, and demonstrated how to use it. He didn’t cover running Thrift in a secure Apache HBase cluster, however, because there was no difference in the client configuration with the HBase releases available at that time.

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New in CDH 5.4: Sensitive Data Redaction

Categories: CDH Cloudera Manager Platform Security & Cybersecurity

The best data protection strategy is to remove sensitive information from everyplace it’s not needed.

Have you ever wondered what sort of “sensitive” information might wind up in Apache Hadoop log files? For example, if you’re storing credit card numbers inside HDFS, might they ever “leak” into a log file outside of HDFS? What about SQL queries? If you have a query like select * from table where creditcard = ‘1234-5678-9012-3456’,

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