An improved Search app in Hue 3.6 makes the Hadoop user experience even better.
Hue 3.6 (now packaged in CDH 5.1) has brought the second version of the Search App up to even higher standards. The user experience has been greatly improved, as the app now provides a very easy way to build custom dashboards and visualizations.
Below is a video demo-ing how to interactively explore some real Apache log data coming from the live Hue demo at cloudera.com/live.
Cloudera Search now supports fine-grain access control via document-level security provided by Apache Sentry.
In my previous blog post, you learned about index-level security in Apache Sentry (incubating) and Cloudera Search. Although index-level security is effective when the access control requirements for documents in a collection are homogenous, often administrators want to restrict access to certain subsets of documents in a collection.
The integration of Apache Sentry with Apache Solr helps Cloudera Search meet important security requirements.
As you have learned in previous blog posts, Cloudera Search brings the power of Apache Hadoop to a wide variety of business users via the ease and flexibility of full-text querying provided by Apache Solr. We have also done significant work to make Cloudera Search easy to add to an existing Hadoop cluster:
- It uses the same pool of data and system resources as other workloads,
Cloudera’s own enterprise data hub is yielding great results for providing world-class customer support.
Here at Cloudera, we are constantly pushing the envelope to give our customers world-class support. One of the cornerstones of this effort is the Cloudera Support Interface (CSI), which we’ve described in prior blog posts (here and here). Through CSI, our support team is able to quickly reason about a customer’s environment,
Learn how to use Cloudera Search along with RBL-JE to search and index documents in multiple languages.
Our thanks to Basis Technology for providing the how-to below!
Basis Technology’s Rosette Base Linguistics for Java (RBL-JE) provides a comprehensive multilingual text analytics platform for improving search precision and recall. RBL provides tokenization, lemmatization, POS tagging, and de-compounding for Asian, European, Nordic, and Middle Eastern languages, and has just been certified for use with Cloudera Search.