ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, announced the availability of ODPi 2.0, which includes the first release of the ODPi Operations Specification and the Runtime Specification 2.0, to standardize the development model for big data solution and application providers and help enterprises improve installation and management of Hadoop-based applications.
The inside Spark channel is a resource for professionals looking to learn about the benefits of Apache Spark
ODPi Publishes Operations Specification Providing Developers Consistency Across Application Management Tools
December 18, 2016 by Leave a Comment
The Touchy-Feely Side of Spark
December 2, 2016 by Leave a Comment
In this special guest feature, Alex Bordei, head of product management at Bigstep, offers 5 examples of how Apache Spark has maximized its user experience – its feel.
Structuring Apache Spark 2.0: SQL, DataFrames, Datasets And Streaming
December 2, 2016 by Leave a Comment
In the talk below, Michael Armbrust, gives an overview of some of the exciting new API’s available in Spark 2.0, namely Datasets and Structured Streaming. Together, these APIs are bringing the power of Catalyst, Spark SQL’s query optimizer, to all users of Spark.
IBM Unleashes the Power of Machine Learning with Watson-enabled Data Platform
November 26, 2016 by Leave a Comment
IBM (NYSE:IBM) announced IBM Watson Data Platform to help companies gain more valuable insights from data. The platform delivers the world’s fastest data ingestion engine and cognitive-powered decision-making to data professionals, allowing them to collaborate in the IBM Cloud, with the services they prefer. IBM is also making IBM Watson Machine Learning Service available – making machine learning simple with an intuitive, self-service interface.
Databricks Sets New World Record for CloudSort Benchmark Using Apache Spark at $1.44 Per Terabyte
November 19, 2016 by Leave a Comment
Databricks®, the company founded by the the team that created the popular Apache® Spark™ project, announced that in collaboration with industry partners, it has broken the world record in the CloudSort Benchmark, a third-party industry benchmarking competition for processing large datasets.
Apache Spark Survey Reveals Increased Growth in Users and New Workloads Including Exploratory Data Science and Machine Learning
November 8, 2016 by 1 Comment
In order to better understand Apache Spark’s growing role in big data, Taneja Group conducted a major market research project, surveying approximately 7,000 people. The sample was made up of technical and managerial job roles from around the world directly involved in big data.
Splice Machine Announces Native PL/SQL Support to Accelerate Migrations from Oracle to Hadoop
November 3, 2016 by Leave a Comment
Splice Machine, provider of the open-source SQL RDBMS powered by Hadoop and Spark, announced that it now supports native PL/SQL on Splice Machine.
Bigstep Launches High-Performance, Low-Latency Spark-as-a-Service for Real-Time Streaming Applications
October 28, 2016 by Leave a Comment
Bigstep, the big data cloud provider, today launched a bare-metal Spark-as-a-Service offering.
Databricks Adds Deep Learning Support to Cloud-Based Apache Spark Platform
October 27, 2016 by Leave a Comment
Databricks®, the company founded by the creators of the Apache® Spark™ project, today announced the addition of deep learning support to its cloud-based Apache Spark platform.
Distributed System Architectures for Healthcare and Life Sciences
October 27, 2016 by Leave a Comment
The insideBIGDATA Guide to Healthcare & Life Sciences is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. This segment focuses on the use of distributed system architectures – Hadoop and Spark.
