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Tag: fast data

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

May 7, 2019 |

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 almost ubiquitous, that concerns about state handling must be addressed, and that containers are prime locations for fast data systems. Read more…

Streamsets Gets $35M for DataOps

Sep 11, 2018 |

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 operations, or DataOps, platform. Read more…

Five Ways to Apply Streaming Analytics Now

Mar 1, 2018 |

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 to $13.7 billion by 2021, at a compound annual growth rate of 34.8%, according to Markets and Markets. Read more…

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

Feb 14, 2018 |

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. Read more…

GPU Acceleration Advancing the Evolution of Fast and Big Data

Jul 24, 2017 |

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…

The Real-Time Future of ETL

May 8, 2017 |

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. Read more…

Inside Anodot’s Anomaly Detection System for Time-Series Data

Apr 19, 2017 |

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…

Flink Aims to Simplify Stream Processing

Apr 3, 2017 |

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 Alibaba. Read more…

Kinetica Aims to Broaden Appeal of GPU Computing

Jan 24, 2017 |

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 machine learning/deep learning workloads on the same data. Read more…

Fresh Streaming Data: Get It While It’s Hot

Sep 28, 2016 |

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. Read more…

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