
Tag: streaming data
It can be difficult to find the right balance between protecting data and utilizing it. With its new Data Protector offering unveiled yesterday at Strata Data Conference San Jose, StreamSets thinks it has found a happy medium, at least for data in motion. Read more…
There is growing recognition that businesses today need to be increasingly ‘data driven’ in order to succeed. Those businesses that can best utilize data are the ones that can better serve their customers, out-compete their competitors and increase their operational efficiency. Read more…
With enterprise data warehouses and Hadoop data lakes now well established in the enterprise, organizations are able to store the large amounts of data they are generating, sourcing and curating. Read more…
When James Cooley and John Tukey introduced the Fast Fourier transform in 1965, it revolutionized signal processing and set us on course to an array of technological breakthroughs. But today’s overwhelming data sets require a new approach. Read more…
As self-service data analytics inexorably shifts to the cloud, another business intelligence and analytics tool vendor has rolled out a cloud platform along with an updated version of its streaming analytics framework as a way of expanding its customer base. Read more…
As a big Hadoop user, Pandora Media is no stranger to distributed processing technologies. But when the music streaming service decided to transition its ad tracking system from a batch-oriented system into a real-time one, it brought in a new technological underpinning to serve as the core foundational element. Read more…
Time-series data represents one of the most challenging data types for businesses and data scientists. The data sets are often very big, change continuously, and are time-sensitive by nature. One company that’s carving a path through this big data opportunity is Anodot, which focuses on using machine learning techniques to spot anomalies in time-series data, in real time. Read more…
Every day, the data deluge continues to grow. From clickstreams and transaction logs to mobile apps and the IoT, big data threatens to overwhelm customers relying on traditional BI tools to analyze it. Read more…
Apache Spark is getting an open source computing and storage boost with its integration with a widely used in-memory data platform.
Hazelcast Inc. said Tuesday (Jan. 10) its in-memory data grid adds connector support for Spark, giving developers access to open source tools for data storage and computing that the company says go beyond the limits of a single Java virtual machine. Read more…
“Bring the compute to the data.” That was Hadoop’s calling card and solution for the problem of moving big data. However, the rise of cloud repositories and streaming technologies is causing Hadoop distributors to question whether that architecture is the best one going forward. Read more…