Tag Archives: maven

How-to: Write a Cloud Provider Plugin for Cloudera Director

Categories: Cloud How-to

Cloudera Director 1.5 introduces a new plugin architecture to enable support for additional cloud providers. If you want to implement a plugin to add integration with a cloud provider that is not supported out-of-the-box, or to extend one of the existing plugins, these details will get you started.

As discussed in our previous blog post, the Cloudera Director Service Provider Interface (Cloudera Director SPI) defines a Java interface and packaging standards for Cloudera Director plugins.

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How-to: Install Apache Zeppelin on CDH

Categories: General Guest How-to Spark

Our thanks to Karthik Vadla and Abhi Basu, Big Data Solutions engineers at Intel, for permission to re-publish the following (which was originally available here).

Data science is not a new discipline. However, with the growth of big data and adoption of big data technologies, the request for better quality data has grown exponentially. Today data science is applied to every facet of life—product validation through fault prediction,

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How-to: Install Hue on a Mac

Categories: How-to Hue

Learn how to set up Hue, the open source GUI that makes Apache Hadoop easier to use, on your Mac.

You might have already all the prerequisites installed but we are going to show how to start from a fresh Yosemite (10.10) install and end up with running Hue on your Mac in almost no time!

We are going to be using the official Quickstart VM from Cloudera that already packs all the Apache Hadoop ecosystem components your Hue will talk to.

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How-to: Build Re-usable Spark Programs using Spark Shell and Maven

Categories: Data Science How-to Spark

Set up your own, or even a shared, environment for doing interactive analysis of time-series data.

Although software engineering offers several methods and approaches to produce robust and reliable components, a more lightweight and flexible approach is required for data analysts—who do not build “products” per se but still need high-quality tools and components. Thus, recently, I tried to find a way to re-use existing libraries and datasets stored already in HDFS with Apache Spark.

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Exactly-once Spark Streaming from Apache Kafka

Categories: Guest Kafka Spark

Thanks to Cody Koeninger, Senior Software Engineer at Kixer, for the guest post below about Apache Kafka integration points in Apache Spark 1.3. Spark 1.3 will ship in CDH 5.4.

The new release of Apache Spark, 1.3, includes new experimental RDD and DStream implementations for reading data from Apache Kafka. As the primary author of those features, I’d like to explain their implementation and usage. You may be interested if you would benefit from:

  • More uniform usage of Spark cluster resources when consuming from Kafka
  • Control of message delivery semantics
  • Delivery guarantees without reliance on a write-ahead log in HDFS
  • Access to message metadata

I’ll assume you’re familiar with the Spark Streaming docs and Kafka docs.

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