Solr 5 includes a completely re-written faceted search and analytics module with a structured JSON API to control the faceting and analytics commands. Here’s how it works.
Since I joined Cloudera a few years ago to help bring search-powered analytics to Cloudera’s platform, I’ve been working actively upstream alongside the rest of the Solr community to develop new functionality that will drive more interesting applications on Cloudera Search (which is based on an integration of Solr with the Apache Hadoop ecosystem).
Learn how to secure your Solr data in a policy-based, fine-grained way.
Data security is more important than ever before. At the same time, risk is increasing due to the relentlessly growing number of device endpoints, the continual emergence of new types of threats, and the commercialization of cybercrime. And with Apache Hadoop already instrumental for supporting the growth of data volumes that fuel mission-critical enterprise workloads, the necessity to master available security mechanisms is of vital importance to organizations participating in that paradigm shift.
Cloudera Enterprise 5.8 includes the latest release of Hue (3.10), the web UI that makes Apache Hadoop easier to use.
As part of Cloudera’s continuing investments in user experience and productivity, Cloudera Enterprise 5.8 includes a new release of Hue that makes several common tasks much easier. In the remainder of this post, we’ll provide a summary of the main improvements. (Hue 3.10 is also available for a quick try in one click on demo.gethue.com.)
New SQL Editor
Hue’s new code editor is a single-page app that is much simpler to use than the previous editor.
This case study is an instructive example of how performance analysis is a multi-faceted process that often leads one in surprising directions.
Apache Solr Near Real Time (NRT) Search allows Solr users to search documents indexed just seconds ago. It’s a critical feature in many real-time analytics applications. As Solr indexes more and more documents in near real time, end-user expectations for performance get higher and higher.
Apache Hadoop is a proven platform for long-term storage and archiving of structured and unstructured data. Related ecosystem tools, such as Apache Flume and Apache Sqoop, allow users to easily ingest structured and semi-structured data without requiring the creation of custom code. Unstructured data, however, is a more challenging subset of data that typically lends itself to batch-ingestion methods. Although such methods are suitable for many use cases,