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.
This year's ApacheCON North America conference saw key speakers focus on open source and its community. With more than 400 attendees, over 70 projects represented and 180 conference sessions it covered as many diverse topics as diverse the Apache Software Foundation projects are.
Twitter Engineering has released details about Manhattan, its real-time, multi-tenant distributed database.
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.
Microsoft has announced their implementation of the Apache Avro wire protocol. Avro is described a “compact binary data serialization format similar to Thrift or Protocol Buffers” with additional features needed for distributed processing environments such as Hadoop.
The recently released open source scan report by Coverity mainly detected and fixed Resource Leaks, Null Pointer and Control Flow issues besides several other issues. It also scanned the source code of Linux and fixed several bugs.
Starting from the premise that today “80 percent of enterprise data is unstructured and growing at twice the rate of structured data”, Cloudera and MongoDB have announced a “strategic” partnership meant to provide customers the option to combine Cloudera’s Apache-based Big Data platform with MongoDB’s NoSQL solution.
Cloudera recently released the latest version of its software distribution, CDH5. Almost 20 months after the last major version, CDH4 seems like ages in the Big Data world. We take a look at new features this release brings and the future direction of Cloudera after the latest round of investment from Intel and Google Ventures.
Hadoop 2.4.0 was recently released with several enhancements to both HDFS and YARN. This includes support for Access Control Lists, Native support for Rolling upgrades, Full HTTPS support for HDFS, Automatic failover of YARN and other operational improvements
The social-networking company AddThis open-sourced Hydra under the Apache version 2.0 License in a recent announcement. Hydra grew from an in-house platform created to process semi-structured social data as live streams and do efficient query processing on those data sets.
Spark users can now use a new Big Data platform provided by intelligence company Atigeo, which bundles most of the UC Berkeley stack into a unified framework optimized for low-latency data processing that can provide significant improvements over more traditional Hadoop-based platforms.
According to a new Forrest report, Hadoop’s momentum is unstoppable. Its usage in the enterprise is continuously growing due to its ability to offer companies new ways to store, process, analyze, and share big data. The report takes a look at Hadoop vendors and ranks them.
Recently, Spark graduated from the Apache incubator. Spark claims up to 100x speed improvements over Apache Hadoop over in-memory datasets and gracefully falling back to 10x speed improvement for on-disk performance. Based on Scala, it can run SQL queries and be used directly in R. It provides Machine Learning, Graph database capabilities and other further discussed in the article.
Elasticsearch released version 1.0.0 of its self-titled, open-source analytics tool. Elasticsearch is a distributed search engine which allows for real-time data analysis in big-data environments. The new version comes with various functional enhancements and changes to the API to make Elasticsearch more intuitive and powerful to use.