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Tag: fast data

The Past and Future of HPDA: A Q&A with Steve Conway

Steve Conway, a senior adviser at Hyperion Research, has been watching the big data market evolve and transform for well over 10 years. You will remember that it was Conway, while at IDC, who coined the term “high perf Read more…

Real-Time Streaming for ML Usage Jumps 5X, Study Says

A new survey sponsored by Lightbend found that implementations of real-time stream data processing systems for machine learning and AI applications jumped by 500% over the past two years. It also found that Kafka is almo 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…

Five Ways to Apply Streaming Analytics Now

Streaming analytics is moving into the mainstream as more enterprises capitalize on the technology to gain greater efficiency, competitiveness, and profitability. And as a result, the streaming analytics market will grow Read more…

Real-Time Data: The Importance of Immediacy in Today’s Digital Economy

Today, we’re creating more data than the word has ever seen before. In fact, 90 percent of the world’s data has been created in the past two years. But more data doesn’t always mean more insight, which is why compa 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…

The Real-Time Future of ETL

We're on the cusp of a huge uptick in data generation thanks to the IoT, but most of that data will never be landed in a central repository or stored for any length of time. To get a handle on this morass of data, enterp 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…

Flink Aims to Simplify Stream Processing

Apache Flink has emerged as a powerful framework for building real-time stream processing applications that has gained traction by some of the most progressive tech companies in the world, including at Netflix, Uber, and Read more…

Kinetica Aims to Broaden Appeal of GPU Computing

Kinetica today unveiled a new iteration of its in-memory, GPU-accelerated database that it says will help to democratize data science and traditional business intelligence by simultaneously running SQL-based queries and Read more…

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