Emma Thompson

Start Building Apache Spark Pipelines within Minutes! Build, test and run Apache Spark applications on your desktop or any single node. Experience StreamAnalytix Lite Now!

In this post, we will see how easy it is read data from a streaming source, apply data transformations, enrich data with external data sources and create real-time alerts in minutes with StreamAnalytix.

A visual data science platform that enables you to easily build, train, calibrate, deploy and enable post-production monitoring of machine learning models, on both real-time and batch data.

As Internet of things(IoT) is generating an enormous amount of information incessantly, organizations can analyze unprecedented amounts of data from devices and sensors in real-time. Explore if your enterprise is well equipped for data visualization of batch and streaming data in this whitepaper.

StreamAnalytix is a leading real-time anomaly detection platform. It is a specialized platform to rapidly build, run and continually update anomaly detection models using a visual UI and machine learning capabilities. It leverages open source engines like Apache Spark to create analytics applications at big data scale.

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StreamAnalytix helped this large bank to identify and prevent insider information security threats through use of predictive analytics and machine learning, to automatically and effectively detect previously unknown threat scenarios and patterns, and raise appropriate alerts and actions to prevent predicted breaches.

Data Visualization Tools - The Real-Time dashboard displays the status of metrics and KPIs for a pipeline. Integrate real-time and historical data with offline analytics and display onto a single screen.

In-memory stream data processing to transform data as it arrives; perform data filtering, data blending and data enrichment at scale, to prepare for analytics and machine learning jobs.

Are you a business owner who is looking at machine learning applications? Well, that is certainly a smart thing to do, considering that machine learning has taken off and is affecting almost all sectors of business.

No matter what industry we are talking about, it is highly likely that it will benefit if it uses advanced technologies. The travel industry is no different. With millions of people traveling every year around the world, this is an industry that sees a lot of money coming in.

The business world is amok, with a tremendous amount of competition. It is up to businesses to ensure that they do things that help them stay ahead of the curve.

With businesses amassing vast amounts of data, it is crucial for them that this data gets appropriately utilized. While there are lots of expensive ways to do so, Apache Spark offers a lot of value at a small price.

StreamAnalytix Lite, a light-weight, self-service data flow, and analytics platform, has transformed the experience of developing and running Spark applications, making it visual, faster and easier - right on your desktop, at no cost. Learn more here.

You may well have heard the term of real-time 360-degree customer view several times over the years across industries, but do you know what it means? If you run a business, an enterprise, or a facility, knowing what it is may help you serve your customers better.

This whitepaper explores why real-time customer 360 is imperative for today’s organizations and how Apache Spark based architecture addresses the challenges of real-time customer 360