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Pentaho and Hadoop
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The how-tos are organized by topic with each set explaining various techniques for loading, transforming, extracting and reporting on data within a Hadoop cluster. You are encouraged to perform the how-tos in order as the output of one is sometimes used as the input of another. However, if you would like to jump to a how-to in the middle of the flow, instructions for preparing input data are provided.
Hadoop Topics
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Pre-Requisites
In order to perform all of the how-tos in this section, you will need the following. Since not every how-to uses every component (e.g. HBase, Hive, ReportDesigner), specific component requirements will be identified within each how-to. This section enumerates all of the components with some additional configuration and installation tips.
Hadoop
A single-node local cluster is sufficient for these exercises but a larger and/or remote configuration will also work. You will need to know the addresses and ports for Hadoop. A nice example how to set up a single node: http://hadoop.apache.org/docs/stable/single_node_setup.html
Pentaho Data Integration
PDI will be the primary development environment for the how-tos. You will need version 4.3 or above. You can find instructions to install PDI for Hadoop in the Configure Pentaho for Cloudera and Other Hadoop Versions guide.
Pentaho Hadoop Distribution
A Hadoop node distribution of the Pentaho Data Integration (PDI) tool. Pentaho Hadoop Distribution (referred to as PHD from this point on) allows you to execute Pentaho MapReduce jobs on the Hadoop cluster.
You can find instructions to download and install the software here: Configure Pentaho for Cloudera and Other Hadoop Versions
Pentaho Report Designer
A desktop installation of Pentaho Report Designer tool called with the PDI jars in the lib directory.
You can find instructions to download and install report designer in the Configure Pentaho for Cloudera and Other Hadoop Versions guide.
Hive
A supported version of Hive. Hive is a Map/Reduce abstraction layer that provides SQL-like access to Hadoop data.
You can find a Hive Getting Started guide here: https://cwiki.apache.org/confluence/display/Hive/GettingStarted
HBase
A MapR supported version of HBase. HBase is a NoSQL database that leverages Hadoop storage.
Sample Data
The how-to's in this guide were built with sample weblog data. The following files which are used and/or generated by the how-to's in this guide. Each specific how-to will explain which file(s) it requires.
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Content
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Unparsed, raw weblog data
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Tab-delimited, parsed weblog data
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Tab-delimited, aggregated weblog data for a Hive weblogs_agg table
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Tab-delimited, aggregated weblog data
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- Visual Development, Data Integration, Immediate Insight
Pentaho Business Analytics provides easy to use visual development tools and big data analytics that empower users to easily prepare, model, visualize and explore structured and unstructured data sets in Hadoop. Pentaho simplifies the end-to-end Hadoop data life cycle by providing a complete platform from data preparation to predictive analytics. Pentaho is unique by providing in-Hadoop execution for extremely fast performance.
New to Pentaho and Hadoop
Visit Understanding How Pentaho works with Hadoop for a deep dive into how Pentaho integrates with your Hadoop Infrastructure. For a less technical overview of using Pentaho and Hadoop, visit PentahoBigData.com/ecosystem/platforms/hadoop.
Hadoop How To's
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