Concurrent, Inc., the enterprise Big Data application platform company, today announced Lingual, an open source project enabling fast and simple Big Data application development on Apache Hadoop using SQL.
EMC Greenplum has announced Pivotal HD, a new Hadoop distribution including a fully compliant SQL MPP database running on HDFS and being “hundreds of times faster than Hive”.
Hortonworks’ new Stinger initiative joins Apache Drill and Cloudera Impala in competition for the best real-time Hadoop implementation.
Oracle’s key-value database, known simply as “Oracle NoSQL Database” has hit version 2.0. Oracle NoSQL Database is essentially a distributed frontend for Berkeley DB, but it offers much more than that. Support for SQL queries, both absolute and eventual consistency, and the option to reduce storage space using Avro schemas sets it apart.
At its heart, SQL is a domain specific language designed to allow non-professional programmers to query databases and write ad hock reports. When a company moves from a relational database to a NoSQL offering the need for ad hock reporting doesn’t go away, it just becomes harder. Simba’s ODBC drivers shift the power back into the hands of the users.
Few months back, Microsoft announced HDInsight, Microsoft’s Hadoop distribution for managing, analysing and making sense out of large volumes of data. InfoQ connected with Val Fontama, Senior Product Marketing Manager for SQL Server, to know more about how the Enterprise Big Data @ Microsoft story is panning out.
In his new blog post Hortonworks Vice President of Corporate Strategy Shaun Connolly discusses the importance of Apache Ambari incubation project and the main milestones achieved by the project in 2012: simplified cluster provisioning, pre-configured key operational metrics, job execution visualization, a RESTful API and an intuitive UI.
Facebook has open sourced Corona, an in-house developed improvement to Hadoop MapReduce scheduling software.
Several new Hadoop-based frameworks where announced during this year O’Reilly Strata Conference + Hadoop World 2012 in New York last week.
Apache new project Drill is aimed to support real-time interactive analysis of large-scale (terabytes size) data sets.
Recently Cap Gemini's Steve Jones has written an article on how he believes that thinking about solutions to problems is less important these days than jumping on the latest hype bandwagon. Although he uses REST and Big Data as examples, he believes it goes beyond any single technology and that eventually IT will no longer belong to IT people.
In their presentation posted at InfoQ systems and data architects Ben Stopford, Farzad Pezeshkpour and Mark Atwell show how RBS leveraged new technologies in their architectures while facing difficult challenges such as regulation, competition and tighter budgets. They also need to cope with stringent technical challenges, for instance with efficiency and scalability.
Want to try out Hadoop with the Microsoft Stack and figure out what capabilities this brings to you? We point to some resources that can help.
VMware have announced the availability of Spring Hadoop, which integrates the Spring Framework and the Apache Hadoop platform.
In his new article “MapReduce Patterns, Algorithms, and Use Cases”, Ilya Katsov gives a systematic view of the different MapReduce patterns, algorithms and techniques that can be found on the web or in scientific articles along with several practical use case studies.
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