Telerik recently renamed OpenAccess ORM as Telerik Data Access with Improved User Interface and colored visual designer in addition to Telerik.DataAccess.Core NuGet, Telerik.DataAccess.Fluent and Telerik.DataAccess.Fluent.Sample NuGet packages.
Hazelcast, an open source in-memory data grid solution introduces a MapReduce API for its offering.
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.
Google have announced general availability of their Cloud SQL service. At launch the service comes with automatic encryption of customer data, a 99.95% uptime SLA and support for databases up to 500GB in size.
UC Berkeley’s AMPLab announced a developer preview of their new project SparkR to use Apache Spark natively from R.
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.
LinkedIn’s DataFu project, a collection of libraries for Hadoop, has now officially entered the incubation status at the Apache Software Foundation (ASF) since the first week of January.
Google has acquired Nest, maker of smart thermostat and smoke detectors, for $3.2 billion in cash, making it another major data source that will help Google understand how people live.
Indexes in SQL Server’s In-Memory OLTP don’t work exactly like normal indexes. This isn’t necessarily a bad thing, but the differences need to be kept in mind to avoid performance problems.
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.
Version 2.0 of Slick, a Functional-Relational Mapping, FRM, library for Scala, (corresponding to an Object-Relational Mapper, ORM, for object-oriented languages), was recently released with a code generator for reverse-engineering a database schema and new driver architecture to allow support for non-SQL databases.
Presto, a technology from Facebook enabling interactive SQL queries on petabytes of data, has now taken a first step into mainstream adoption. Big Data startup Qubole has launched its Presto-as-a-Service alpha with integration to Amazon Web Services.
Big Data is a field where even a single millisecond loss can be significant over billions of events. Yet, languages often regarded as slow like Python have gained a lot of popularity in the past year. Recent articles and discussions in the Big Data community have started reigniting the debate around the choice of a programming language for data science and Big Data.
Curoverse and Tute Genomics secured $1.5 million each in seed funding in the past month aiming to bring gene sequencing to the masses. Illumina, Seven Bridges Genomics, Complete Genomics and others are offering researchers and private parties the opportunity to map the full genome sequence for a four figure quote. Illumina recently announced HiSeq X Ten, promising the long-awaited $1,000 genome.
Twitter has open sourced their MapReduce streaming framework, called Summingbird. Available under the Apache 2 license, Summingbird is a large-scale data processing system enabling developers to uniformly execute code in either batch-mode (Hadoop/MapReduce-based) or stream-mode (Storm-based) or a combination thereof, called hybrid mode.
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