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Tag: streaming analytics

Investments in Fast Data Analytics Surge

Jul 7, 2016 |

Companies are quickly ramping up their investments fast data analytics and real-time stream processing frameworks and lowering spending on batch technologies in an attempt to get on top of growing data volumes and velocities, a new survey says. Read more…

Merging Batch and Stream Processing in a Post Lambda World

Jun 1, 2016 |

It wasn’t long ago that developers looked to the Lamba architecture for hints on how to design big data applications that needed elements of both batch and streaming data. But already, the Lamba architecture is falling out of favor, especially in light of a new crop of frameworks like Apache Spark and Apache Flink that can do it all. Read more…

Kafka Creators Tackle Consistency Problem in Data Pipelines

May 24, 2016 |

One of the big questions surrounding the rise of real-time stream processing applications is consistency. When you have a distributed application involving thousands of data sources and data consumers, how can you be sure that the data going in one side comes out the other unchanged? Read more…

Apache Flink Creators Get $6M to Simplify Stream Processing

Mar 30, 2016 |

Real-time stream processing is one of the hottest topics this week at Strata + Hadoop World, and one of the new frameworks turning heads is Apache Flink. Developed by the German company data Artisans, Flink is unique in that it aims to simplify the big data analytics stack with “streaming first” Read more…

Transactional Streaming? You Need State

Mar 28, 2016 |

The distinction between traditional operational systems and event/stream processing has begun to blur. Stream-oriented approaches offer novel ways to build applications that yesterday would have used a more traditional stack, such as LAMP or something similar. Read more…

Streaming Architecture–Why Flow Instead of State?

Mar 27, 2016 |

The way that computing is done is changing dramatically.  Instead of a program with a finite input, we now have programs with infinite streams as inputs. Why does this matter, and why is the change happening now? Read more…

What’s Driving the Rise of Real-Time Analytics

Sep 15, 2015 |

Hadoop gave us a taste of the types of insights big data analytics can deliver, and provided a competitive advantage to early adopters. But as data volumes grow, as the time-to-insight window shrinks, and as technology continues to improve, companies who wish to remain competitive will have no choice but to adopt real-time analytics. Read more…

Cast Your Models Into Data Streams and Take Advantage of the IoT

Aug 28, 2015 |

Using data in real-time used to be a challenge. Lengthy extraction, transformation and loading processes make analyzing data an activity more akin to glancing in a rearview window than reading road signs as you pass. Read more…

Hortonworks Boosts Streaming Analytics, IoT Plays with NiFi Deal

Aug 25, 2015 |

Hortonworks today announced a definitive agreement to acquire Onyara, the company behind the data routing and streaming technology called Apache NiFi. The Hadoop heavy also announced NiFi will be the basis for its second major product line, Hortonworks DataFlow, which will underlie real-time streaming analytics and Internet of Things (IoT) applications. Read more…

Yahoo Casts Real-Time OLAP Queries with Druid

Aug 4, 2015 |

Yahoo is in the process of implementing a big data tool called Druid to power high-speed real-time queries against its massive Hadoop-based data lake. Engineers at the Web giant say the open source database’s combination of speed and usability on fast-moving data make it ideal for the job. Read more…

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