Swarm64 Releases Swarm64SDA to Empower Real-Time Big Data Analytics for High Velocity Data

Swarm64, provider of the scalable data accelerator (SDA), enabling relational databases to perform real-time big data analytics, introduced its new Swarm64SDA, which empowers a single server to ingest more than a million records per second as well as analyze the data in real-time. The SDA utilizes the performance of Intel® Arria® 10 FPGAs to deliver these results. The SDA integrates seamlessly into MariaDB, PostgreSQL and MySQL databases.

Intel Case Study: Speeding Up a Big Data Platform

In this technology cast study, we’ll examine MeritData, Inc., a leading big data analysis technology and service provider in China. The company’s product is called Tempo, a big data platform that has been widely used by well-known power, manufacturing, financial, and global enterprises and by cloud service providers. MeritData helps its customers explore and exploit data value―and ultimately creates value through data processing, data mining, and data visualization solutions. This is achieved through the fusion of high-performance computing (HPC) technology, leading data analysis algorithms, high-dimensional visualization, and creative data visualization language.

Big Data Use Case – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights

The insideBIGDATA technology use case guide – Ticketmaster: Using the Cloud Capitalizing on Performance, Analytics, and Data to Deliver Insights provides an in-depth look at a high-profile cloud migration use case. One of the most widely discussed topics in IT today is moving workloads to cloud. The process of deciding whether or when to migrate to the cloud can be daunting. Further, finding the right technology fit for your enterprise objectives can be challenging with a cloud solution ecosystem filled with alternatives. To make the cloud adoption process more straightforward, this white paper provided a number of areas for consideration when evaluating a cloud platform.

5 Ways Big Data Analytics Can Help Your eCommerce Business

In this contributed article, web content writer Gloria Kopp presents 5 simple ways that big data analytics can make a difference to an e-commerce business enterprise.

Harte Hanks Brings Next Generation Data and Analytics to Marketers with Opera Solutions’ Signal Hub Platform

Harte Hanks ( NYSE : HHS ), a leader in customer relationships, experiences, and interaction-led marketing and Opera Solutions, a leader in Data Analytics, announced the market availability of their data and analytic solution delivered through Opera Solutions’ Artificial Intelligence (AI) and Machine Learning platform, Signal Hub™.

Using Machine Learning and Big Data Analytics to Improve Existing Business Systems

In this contributed article, Dan Adika, CEO and cofounder of WalkMe, discusses how big data, combined with machine learning and artificial intelligence, can contextually guide employees on how to use any system, provide businesses with insights into common technology obstacles, and ultimately personalize the user experience to drive greater adoption.

Data Capture and Science Strategy

Innovative drug development organizations are leveraging scientific and technical advances to data capture data that is increasingly multidimensional and information rich. However, existing data capture and sharing processes are often unable to support efficient integration and interpretation of this data. To learn more about available technologies available for data capture and relation science strategy download this white paper.

The Five Blocks of the HPE WDO Solution

This is the sixth and final entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, and the HPE Workload and Density Optimized System. The final entry in the series is focused on the five blocks of the HPE WDO Solution.

Big Data and The HPE Workload and Density Optimized System

This is the fifth entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well realizing a scalable data lake. The fifth entry in the series is focused on the HPE Workload and Density Optimized System.

The HPE Elastic Platform for Big Data Analytics

This is the fourth entry in an insideBIGDATA series that explores the intelligent use of big data on an industrial scale. This series, compiled in a complete Guide, also covers the exponential growth of data and the changing data landscape, as well realizing a scalable data lake. The fourth entry in the series is focused on offerings from HPE for big data analytics.