Arcadia Data, provider of a unified visual analytics and business intelligence (BI) platform for big data, announced the release of Arcadia Enterprise, a full-scale visual analytics and BI solution that runs natively in Hadoop.
Arcadia Data Takes On Outdated BI and Visualization Tools with New Enterprise Solution Built for Big Data
Northern Trust (NASDAQ:NTRS), a leading provider of wealth management, asset servicing, and asset management, has launched an award-winning technology infrastructure initiative based on technology from Cloudera, a leader in enterprise analytic data management powered by Apache Hadoop™.
Pepperdata Adds Comprehensive Chargeback Reporting to Effectively Measure the True Cost of Workloads Across Distributed Systems
Pepperdata, a leader in real-time cluster optimization, announced it is eliminating a significant hurdle for Hadoop to become an essential enterprise data platform by adding a chargeback feature to more effectively measure and allocate the costs of increasing workloads across distributed systems.
Infoworks, a pioneering company in automated big data management announced the launch of its Dynamic Data Warehousing (DDW) platform and a complete solution to data warehouse augmentation.
CEO of Algebraix Data, Charles Silver, discusses how along with the demand for data analysis skills has also emerged a variety of different ways of working with data, which will shape the Big Data landscape in 2016 and beyond. The article takes a look at the top three trends.
Altiscale Increases Performance and Reliability of Hadoop and Spark Platform with Updated Altiscale Data Cloud
Altiscale, Inc., a leading provider of Big Data-as-a-Service, introduced Altiscale Data Cloud 4.0, featuring major upgrades to core Hadoop components, such as HDFS and YARN, and an expanded Spark-as-a-Service offering that supports all major versions of Apache Spark.
In this special technology assessment report, Dell Hadoop Solutions for Big Data, the premise is to unlock business critical insights from data of any type and size. Data growth is exploding, and analyzing large datasets—Big Data —has become the next frontier for innovation, competition, and productivity. IDC estimates that in 2012 alone, the amount of data created and replicated surpassed 2.8 zettabytes. One forecast from IDC estimates that data will grow to an overwhelming 44 zettabytes by 2020.
Hadoop, while beneficial in many IT environments, unfortunately, will not work with the massive amounts of data generated in most industrial environments. This contributed article by Alex Clark, founder and Chief Software Architect at Bit Stew Systems, asks what if we remove this from our industrial planning, what does the future industrial data architecture look like?
In this special guest feature, George Corugedo, CTO of RedPoint Global Inc., takes a look at Hadoop adoption and how this might evolve in 2016.
In this new insideBIGDATA Guide to Scientific Research, the goal is to provide a road map for scientific researchers wishing to capitalize on the rapid growth of big data technology for collecting, transforming, analyzing, and visualizing large scientific data sets.