Tag Archives: REST

Security, Hive-on-Spark, and Other Improvements in Apache Hive 1.2.0

Categories: Community Hive Spark

Apache Hive 1.2.0, although not a major release, contains significant improvements.

Recently, the Apache Hive community moved to a more frequent, incremental release schedule. So, a little while ago, we covered the Apache Hive 1.0.0 release and explained how it was renamed from 0.14.1 with only minor feature additions since 0.14.0.

Shortly thereafter, Apache Hive 1.1.0 was released (renamed from Apache Hive 0.15.0), which included more significant features—including Hive-on-Spark.

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How-to: Translate from MapReduce to Apache Spark (Part 2)

Categories: How-to MapReduce Spark

The conclusion to this series covers Combiner-like aggregation functionality, counters, partitioning, and serialization.

Apache Spark is rising in popularity as an alternative to MapReduce, in a large part due to its expressive API for complex data processing. A few months ago, my colleague, Sean Owen wrote a post describing how to translate functionality from MapReduce into Spark, and in this post, I’ll extend that conversation to cover additional functionality.

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How Edmunds.com Used Spark Streaming to Build a Near Real-Time Dashboard

Categories: Cloudera Labs Flume Guest Spark Use Case

Thanks to Sam Shuster, Software Engineer at Edmunds.com, for the guest post below about his company’s use case for Spark Streaming, SparkOnHBase, and Morphlines.

Every year, the Super Bowl brings parties, food and hopefully a great game to appease everyone’s football appetites until the fall. With any event that brings in around 114 million viewers with larger numbers each year, Americans have also grown accustomed to commercials with production budgets on par with television shows and with entertainment value that tries to rival even the game itself.

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How-to: Let Users Provision Apache Hadoop Clusters On-Demand

Categories: Cloud How-to

Providing Hadoop-as-a-Service to your internal users can be a major operational advantage.

Cloudera Director (free to download and use) is designed for easy, on-demand provisioning of Apache Hadoop clusters in Amazon Web Services (AWS) environments, with support for other cloud environments in the works. It allows for provisioning clusters in accordance with the Cloudera AWS Reference Architecture.

At Cloudera, Cloudera Director is used internally to enable our technical field to provision clusters on-demand for demos,

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How-to: Deploy and Configure Apache Kafka in Cloudera Enterprise

Categories: How-to Kafka

With Kafka now formally integrated with, and supported as part of, Cloudera Enterprise, what’s the best way to deploy and configure it?

Earlier today, Cloudera announced that, following an incubation period in Cloudera Labs, Apache Kafka is now fully integrated into Cloudera’s Big Data platform, Cloudera Enterprise (CDH + Cloudera Manager). Our customers have expressed strong interest in Kafka, and some are already running Kafka in production.

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