Databricks, the company founded by the creators of the popular Apache Spark project and providers of the leading Spark-based cloud platform for data science, announced an edition of its cloud platform optimized specifically for data engineering workloads called Databricks for Data Engineering.
Databricks Launches New Edition of Its Spark-Based Cloud Platform for Data Engineers
May 22, 2017 by
Impetus Technologies Announces StreamAnalytix 3.0 Featuring Support for Apache Spark-Based Batch Processing
April 25, 2017 by
Impetus Technologies, a big data thought leader and software solutions company, announced StreamAnalytix™ 3.0 featuring support for Apache Spark-based batch processing and enriched online and offline machine learning features, helping enterprises maximize the performance of their analytical models and achieve the most favorable business outcomes. The newest version adds to the stream processing capabilities driven […]
Data as a Critical Element in the Discovery and Delivery of Smart Energy
April 21, 2017 by
In this contributed article, Jules S. Damji, an Apache Spark Community Evangelist with Databricks, shows how as the value of data continues to grow, the next-generation smart grid should become a reality, benefiting utility companies and consumers alike.
Pepperdata Integrates Performance into DevOps for Big Data
April 4, 2017 by
Pepperdata, the Big Data performance company, announced it is expanding its product portfolio with Pepperdata Application Profiler, providing Hadoop and Spark developers with easy to understand recommendations for improving job performance. Application Profiler is currently available in early access and will be generally available in the second quarter of 2017.
EnterpriseDB Announces New Apache Spark Connecter to Speed Postgres Big Data Processing
March 3, 2017 by
EnterpriseDB® (EDB™), the database platform company for digital business, announced the general availability of a new version of the EDB Postgres Data Adapter for Hadoop with compatibility for the Apache Spark cluster computing framework. The new version gives organizations the ability to combine analytic workloads based on the Hadoop Distributed File System (HDFS) with operational data in Postgres, using an Apache Spark interface.
Percipient Launches SparkPLUS to Solve Apache Spark’s Out-of-memory Problems
January 24, 2017 by
Percipient, a Singapore-based startup, is launching a revolutionary solution to address the memory issues incurred by users of open source platform, Apache Spark. By delivering unified data a priori to the Spark platform, Percipient’s SparkPLUS solution is able to multiply the platform’s computing space, thereby greatly enhancing its utility for real time and analytical applications.
Monte Carlo Simulations in Ad-Lift Measurement Using Spark
January 7, 2017 by
In this talk from Spark Summit East 2016, Prasad Chalasani explores some of the challenges that arise in setting up scalable simulations in a specific application, and share some solutions and lessons learned along the way, in the realms of mathematics and programming.
Structuring Apache Spark 2.0: SQL, DataFrames, Datasets And Streaming
December 2, 2016 by
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
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
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.
