Tag: real-time streaming

DataOps Hiring Surges Thanks to ML, Real-Time Streaming

Jun 13, 2018 |

Nearly three-quarters of companies plan to hire a data operations (DataOps) professional in 2018, according to a new survey commissioned by Nexla, which says investment and interest in machine learning, artificial intelligence, advanced and real-time analytics is driving the demand. Read more…

Six Reasons Why Enterprises Need a Modern Data Integration Architecture

May 4, 2018 |

Data is instigating change and giving rise to a new data-driven economy that is still in its infancy. Organizations across industries increasingly recognize that monetizing data is crucial to maintaining a competitive edge and are adapting their business models accordingly. Read more…

Streamlio Claims Pulsar Performance Advantages Over Kafka

Mar 6, 2018 |

Streamlio, a startup created a real-time streaming analytics platform on top of Apache Pulsar and Apache Heron, today published results of stream processing benchmark that claims Pulsar has up to a 150% performance improvement over Apache Kafka. Read more…

Fueled by Kafka, Stream Processing Poised for Growth

Jan 18, 2018 |

Once a niche technique used only by the largest organizations, stream processing is emerging as legitimate technique for dealing with massive amounts of data generated every day. While it’s not needed for every data challenges, organizations are increasingly finding ways to incorporate stream processing into their plans — Read more…

The SQL Service at the Heart of Amazon Kinesis Analytics

Aug 17, 2016 |

Amazon Web Services gave real-time application developers a boost last week when it unveiled Amazon Kinesis Analytics, a new service for continuously querying streaming data using good old SQL. The service hooks into the entire Kinesis suite available from AWS, but the core underlying technology was developed by a third-party vendor you might not be familiar with. Read more…

Concord Claims 10x Performance Edge on Spark Streaming

Jul 14, 2016 |

Organizations that are looking for a stream processing engine upon which to build fast data applications featuring high-throughput and low-latency may want to check out Concord, a new framework that emerged from the ad-tech world and reportedly runs 10 times faster than Spark Streaming and Storm. 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…

The Real-Time Rise of Apache Kafka

Apr 6, 2016 |

Shiny new objects are easy to find in the big data space. So when the industry’s attention shifted towards processing streams of data in real time–as opposed to batch-style processing that was popular with first-generation Hadoop–we saw dozens of promising new technologies pop up seemingly overnight. Read more…

Reporter’s Notebook: 6 Key Takeaways from Strata + Hadoop World

Apr 5, 2016 |

The big data ecosystem was on full display at last week’s Strata + Hadoop World conference in San Jose. At the ripe old age of 10, Hadoop is still the driving force, but newer frameworks like Spark and Kafka are gaining steam. 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…

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