Tag: streaming data
Cassandra, Kafka Help Scale Anomaly Detection
The scaling of open-source platforms continues apace with the demonstration of an anomaly detection application capable of processing tens of billions of events per day using Apache Cassandra and Apache Kafka running on Read more…
Kafka in the Cloud: Who Needs Clusters Anyway?
Confluent is reimagining what it means to run Kafka in the cloud, and is jettisoning the notion that clusters are even necessary to get started with the real-time streaming data technology. Confluent today announced t Read more…
Streaming Data App Builder Goes Open Source
Swim.ai, promoters of an agile approach to data collection and analysis either in the cloud or at the network edge, has released an open-source version of its platform for building real-time, distributed applications. Read more…
5 Key Data Integration Considerations for Apache Kudu
Apache Kudu was designed specifically for use-cases that require low latency analytics on rapidly changing data, including time-series, machine data, and data warehousing. Its architecture provides for rapid inserts and Read more…
AI Prognostications Plentiful for New Year
Artificial intelligence had a breakout year in 2018. The technology seemed to be everywhere, influencing everything from stock trading and hiring to crop rotations and perfumery. So where will AI take us in 2019? AI p Read more…
Streamsets Gets $35M for DataOps
StreamSets, which bills itself as the "air traffic control" tasked with preventing collisions from occurring with big data, today announced that it raised $35 million, which it will use to continue building its data oper Read more…
Lightbend Adds Kubernetes for ‘Reactive’ Microservices
Streaming and other data applications continue to be paired with microservices as streaming data shake up application designs targeting AI, machine learning and other data-driven use cases. The latest to jump on the m Read more…
Apache Flink Gets An SQL Client
The latest release of the Apache Flink framework introduces the capability to execute exploratory SQL queries on data streams from a new SQL client, which will open the processing framework to a new class of users. Ap Read more…
Want Kafka on Kubernetes? Confluent Has It Made
If the idea of streaming massive amounts of data on a virtual server platform that spans public cloud and on-premise clusters piques your interest, you're not alone. Many organizations have attempted to wire Apache Kafka Read more…
StreamSets Balances Streaming Data Demands for Security, Access
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 m Read more…
Embracing the Future – The Push for Data Modernization Today
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-compet Read more…
GPU Acceleration Advancing the Evolution of Fast and Big Data
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. Across retail, financial Read more…
Sparse Fourier Transform Gives Stream Processing a Lifeline from the Coming Data Deluge
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 requ Read more…
Tibco Launches BI Cloud, Updates Streaming Platform
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 Read more…
How Pandora Uses Kafka
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 o Read more…
Inside Anodot’s Anomaly Detection System for Time-Series Data
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 Read more…
Four Ways to Visualize Big Streaming Data Now
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. That's creating Read more…
Spark Gets In-Memory Boost
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 Read more…
Converged Platform or Federated Data Plane? The Debate Heats Up
"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 questi Read more…
Fresh Streaming Data: Get It While It’s Hot
Streaming data technology that's been simmering on the backburner for the past few years will be the main entrée at this week's Strata + Hadoop World conference in New York City. There's a profound shift currently un Read more…
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