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.
This article is the third in a series that explores a high-level view of how and why many companies are deploying Apache Spark as a solution for their big data technology requirements.
WANdisco, (LSE: WAND) a leading provider of continuous-availability software for global enterprises to meet the challenges of Big Data, announced major updates to its flagship WANdisco Fusion Platform.
Splice Machine Announces Version 2.0 of its RDBMS: A Hybrid In-Memory Architecture Powered by Hadoop and Spark
Splice Machine announced the 2.0 version of its RDBMS, a hybrid in-memory RDBMS powered by Hadoop and Spark. Splice Machine’s version 2.0 delivers a database solution that incorporates the proven scalability of Hadoop, ANSI SQL, ACID transactions, and the in-memory performance of Spark.
Cloudera, provider of the data management and analytics platform built on Apache Hadoop and the latest open source technologies, announced the availability of Cloudera Enterprise 5.5. This release continues to improve the performance, security, and functionality of analytics on Hadoop and includes the limited beta release of Cloudera Navigator Optimizer for improved workload performance and efficiency.
Vikash Varma, President and CEO of Argyle Data, a leader in native Hadoop applications for threat analytics in mobile communications, has provided a perspective on the company’s momentum and industry outlook for 2016. Varma’s predictions for substantially accelerated growth are fueled by the growing need for data-driven applications and fraud analytics for the mobile communications industry that run natively on Hadoop.
Podium Data launched Podium 2.0, an award-winning, disruptive data lake management platform that solves the top challenges of enterprise data management. Podium 2.0 accelerates time to answer from months to minutes with secure access to trusted data and reduces costs by millions by displacing legacy data management platforms, including ETL tools.