AtScale, the company that provides enterprises with a fast and secure self-service analytics platform for Big Data, announced the results of the 2016 Big Data Maturity Survey. Based on 2,550+ responses from big data professionals at 1,400 companies across 77 countries, the report reveals new & unexpected insights about Cloud, Big Data, Business Intelligence, Hadoop and Spark.
Industry’s Most Comprehensive Big Data Maturity Survey Reveals Surprising State of Hadoop, Dramatic Rise of Big Data in the Cloud
AtScale, the company to provide enterprises with a fast and secure self-service BI platform for Big Data, announced a significant expansion of its services, from BI on Hadoop to BI on Big Data. With this announcement, the company introduces a Modern BI Platform that enables businesses to work seamlessly across all of Big Data, on premise and in the Cloud. In addition to Hadoop, the AtScale platform now supports Teradata data warehouses and Google Dataproc and BigQuery. This expands on the company’s existing support for Microsoft Azure and HDInsight.
Striim Highlights Commitment to Big Data Integration and Support for Hybrid Cloud Infrastructures with New Release
Striim, Inc., announced that it has launched a new version of its end-to-end real-time data integration and streaming analytics platform. On the heels of Striim’s mega release of version 3.6, Striim further underscores its commitment to seamless integration with Big Data and Cloud environments with this release.
Couchbase, Inc., a leader in database solutions for the Digital Economy, announced a range of new capabilities including full text search and real-time analytics that will dramatically simplify the way developers and architects build Digital Economy applications. With a single platform delivering operational, search and real-time analytical functionality, digital businesses can now create a range of intelligent and data-intensive applications without the complexity of mapping and moving data between disparate systems or the difficulty of managing multiple technologies.
MapR Technologies, Inc., provider of the industry’s Converged Data Platform, announced the next major release of the MapR Ecosystem Pack program, a broad set of open source ecosystem projects that enable big data applications running on the MapR Converged Data Platform while ensuring inter-project compatibility. These latest enhancements also add flexible access and provide new capabilities for streaming applications.
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.
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.
The infographic below was developed by Experian Data Quality as a by product of their recent survey of 402 management-level professionals. The infographic covers how managers feel about data. Data is your organization’s most valuable asset, and having good data quality is necessary for sustained success.
In this special technology white paper, The GridGain In-Memory Data Grid, you’ll learn that with the cost of system memory dropping 30% every 12 months, in-memory computing has become the first choice for a variety of workloads across all industries. In-memory computing can provide a lower TCO for data processing systems while providing an unparalleled performance advantage.
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.