Tag Archives: Cloudera Manager

Cloudera Enterprise 5.5 is Now Generally Available

Categories: CDH Cloudera Manager

Cloudera Enterprise 5.5 (comprising CDH 5.5, Cloudera Manager 5.5, and Cloudera Navigator 2.4) has been released.

Cloudera is excited to bring you news of Cloudera Enterprise 5.5. Our persistent emphasis on quality is especially pronounced in this release, with more than 500 issues identified and triaged during its development.

A highlight of this release is the inclusion of Cloudera Navigator Optimizer (available in limited beta for select Cloudera Enterprise customers;

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How-to: Use Impala with Kudu

Categories: How-to Impala Kudu

Learn the details about using Impala alongside Kudu.

Kudu (currently in beta), the new storage layer for the Apache Hadoop ecosystem, is tightly integrated with Impala, allowing you to insert, query, update, and delete data from Kudu tablets using Impala’s SQL syntax, as an alternative to using the Kudu APIs to build a custom Kudu application. In addition, you can use JDBC or ODBC to connect existing or new applications written in any language,

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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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How-to: Build a Machine-Learning App Using Sparkling Water and Apache Spark

Categories: CDH Data Science Guest How-to Spark

Thanks to Michal Malohlava, Amy Wang, and Avni Wadhwa of H20.ai for providing the following guest post about building ML apps using Sparkling Water and Apache Spark on CDH.

The Sparkling Water project is nearing its one-year anniversary, which means Michal Malohlava, our main contributor, has been very busy for the better part of this past year. The Sparkling Water project combines H2O machine-learning algorithms with the execution power of Apache Spark.

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