Stripe, the internet payments infrastructure company recently announced open sourcing a set of internally developed tools based on Apache Hadoop.Timberlake, Brushfire, Sequins and Herringbone all contribute to enriching the available tools for building an Apache Hadoop stack.
Hortonworks Data Platform (HDP) version 2.2 with features based around Hadoop and YARN has better support for enterprise features such as security, compliance and so on as well.
Hortonworks recently acquired the data security company XA Secure to help the organization in providing comprehensive security to Hortonworks Data Platform (HDP). Security features would be available across all Hadoop workloads from batch, interactive SQL and real–time.
Hadoop Summit Day Two report covers the important trends and changes from last year's summit. It also covers the important announcements of the day in relation to this year's trending topics. This report shares an analysis of the Hadoop market by leading analysts, competing benchmarks by vendors and platform specific innovations and announcements.
Hadoop Summit Day One report covers the important trends and changes from last year's summit. It also covers the important announcements of the day in relation to this year's trending topics. This report focuses on the platform specific innovations and announcements and not the broader partner ecosystem, which will be covered in the next few days.
Hortonworks announced the release of Hive 0.13 which marks the completion of the Stinger initiative. The new release also includes performance improvements as well as some new SQL features. Hive is an open source SQL Engine written on top of Hadoop that lets users query big data warehouses by writing SQL queries instead of MapReduce jobs.
In the race for interactive SQL in Big Data environments, there are two open source based front-runners, Impala and Hive with the Stinger project. Cloudera recently announced that Impala is up to 69 times faster than Hive 0.12 and can outperform DBMS. Other than raw speed, we take a look at other considerations in choosing a SQL engine for Hadoop and also Tez, an application framework for YARN.
Hadoop is definitely the platform of choice for Big Data analysis and computation. While data Volume, Variety and Velocity increases, Hadoop as a batch processing framework cannot cope with the requirement for real time analytics. Spark, Storm and the Lambda Architecture can help bridge the gap between batch and event based processing.
This post presents the results of a Hortonworks survey of over 500 Hadoop Summit 2013 attendees on how they use Hadoop, and an interview with David McJannet on Hadoop trends today.
Hortonworks, a company created in June 2011 by Yahoo! and Benchmark Capital, has announced the Technical Preview Program of Data Platform based on Hadoop. The company employs many of the core Hadoop contributors and intends to provide support and training.
Yahoo spun-out its core Hadoop team, forming a new company Hortonworks. CEO Eric Baldeschwieler presented their vision of easing adoption of Hadoop and making core engineering improvements for availability, performance, and manageability. Hortonworks will sell support, training, and certification, primarily indirects through partners.