The featured video resource provided by Decodable is a webinar in which CDC experts provide an overview of CDC with Flink and Debezium. There is a growing role Change Data Capture (CDC) plays in real-time data analytics (specifically, stream processing with open source tools like Debezium and Apache Flink). CDC lets users analyze data as it’s generated by leveraging streaming from systems like Apache Kafka, Amazon Kinesis, and Azure Events Hubs to track and transport changes from one data system to another.
The Era Of Continuous Intelligence
April 29, 2021 by Leave a Comment
In this contributed article, James Corcoran, Senior Vice President of Engineering at Kx, discusses the era of ‘continuous intelligence,’ namely the ability for organizations to make smarter decisions derived from insights gained from analysis of data – whether real time, historic or both in as short a time frame as possible.
Swim Releases New Platform for Managing Continuous Intelligence at Scale
October 7, 2020 by Leave a Comment
Swim, the developer of the industry’s first open core platform for continuous intelligence at scale, today announced Swim Continuum 4.0, the newest release of its flagship product. Providing enterprises with a live window into the current state of their business by concurrently processing and analyzing streaming and contextual data, Swim Continuum 4.0 offers a comprehensive view of all aspects of operating and managing continuous intelligence applications at scale through a single pane of glass experience.
Living On the Edge: Extracting Ultimate Value from Your IoT Data
June 13, 2018 by Leave a Comment
In this contributed article, Jerry Baulier, Vice President of IOT R&D at SAS describes IoT and streaming analytics and the potential lifesaving benefits from that real-time data. Streaming data allows you to assemble meaning from IoT data when you need it, both in real time and historically to identify trends in cross-sensor analysis. By processing data on the edge, organizations, individuals and communities are benefiting from the insights offered by real-time data.
Impetus Technologies Unveils New, TensorFlow-Based Deep Learning Feature on Apache Spark for StreamAnalytix
June 16, 2017 by Leave a Comment
Impetus Technologies, a big data software products and services company, announced integration of a new, deep learning capability for its StreamAnalytix™ platform. Based on the TensorFlow™ open source software library for machine learning, this new capability demonstration showcases an image recognition application running on an Apache Spark Streaming pipeline on StreamAnalytix.
Striim Delivers Streaming Hybrid Cloud Integration to Microsoft Azure
May 18, 2017 by Leave a Comment
Striim™, Inc. announced that it has launched version 3.7 of its end-to-end real-time data integration and streaming analytics platform. Driven by customer requirements and demand, this release focuses on facilitating real-time, hybrid Cloud integration, and simplifying the management of applications running on streaming data.
Impetus Technologies Announces StreamAnalytix 3.0 Featuring Support for Apache Spark-Based Batch Processing
April 25, 2017 by Leave a Comment
Impetus Technologies, a big data thought leader and software solutions company, announced StreamAnalytix™ 3.0 featuring support for Apache Spark-based batch processing and enriched online and offline machine learning features, helping enterprises maximize the performance of their analytical models and achieve the most favorable business outcomes. The newest version adds to the stream processing capabilities driven […]
Striim – Top 27 Predictions for 2017
January 1, 2017 by Leave a Comment
In this special feature, Steve Wilkes, co-founder and CTO at Striim, Inc. the real-time data integration and streaming analytics platform, offers his top predictions for 2017 on how real-time data integration and streaming analytics will impact the many areas it touches, including Cloud, IoT, Integration, Analytics, Big Data and Security.
New Lightbend Survey of 2,000 Java and Scala Developers Reveals Shake-Up In Enterprise Application Architecture
September 25, 2016 by Leave a Comment
Lightbend (formerly Typesafe), the company behind the Reactive Platform that includes the Akka, Play and Lagom Frameworks as well as the Scala programming language, announced the results of a new survey of 2,151 Java Virtual Machine (JVM) developers and IT professionals.
Kinetica Unveils GPU-accelerated Database for Analyzing Streaming Data with Enhanced Performance, Visualization and High Availability
September 22, 2016 by Leave a Comment
Kinetica announced the newest release of its distributed, in-memory database accelerated by GPUs that simultaneously ingests, explores, and visualizes streaming data.
