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.
Actian Survey Shows Legacy Data Management Platforms Breaking Under the Demands of Modern Analytic Workloads and Data Volumes
The ability of legacy data warehousing platforms and BI tools to glean insights from big data is decreasing exponentially as more sources of data are poured into them, according to a new survey involving more than 250 senior executives. The survey, sponsored by Actian Corporation, found analytic workloads are failing in traditional technology environments that are pervasive across enterprise networks.
In this special guest feature, Eric Tilenius, CEO of BlueTalon, highlights the four main reasons why companies should adopt data-centric security.