Tag: big data

How Mashable Seeds Journalism with Data Science

Feb 27, 2017 |

In journalism, researching what to write about often takes more time and effort than actually writing. But the online news site Mashable has found a way to accelerate the editorial process using a judicious application of big data tech and data science. Read more…

Four Ways to Visualize Big Streaming Data Now

Feb 22, 2017 |

Every day, the data deluge continues to grow.  From clickstreams and transaction logs to mobile apps and the IoT, big data threatens to overwhelm customers relying on traditional BI tools to analyze it. Read more…

Data Opportunities Slipping Through the Cracks

Feb 21, 2017 |

If you’re struggling to make the most of your data, take heart in the fact that you’re not alone. A large percentage of companies are not fully executing on their big data, data science, and IoT strategies, several recent studies say. Read more…

A Platform Approach to Data Science Operationalization

Feb 13, 2017 |

Eduardo Ariño de la Rubia has been building quantitative teams for the past two decades, and knows first-hand how hard it can be to bring data science capabilities into a production setting. Read more…

Exactly Once: Why It’s Such a Big Deal for Apache Kafka

Feb 9, 2017 |

Organizations building real-time stream processing systems on Apache Kafka will be able to trust the platform to deliver each messages exactly once when they adopt new Kafka technology planned to be unveiled this spring, executives with Confluent tell Datanami. Read more…

Big Iron Warms Up to Big Data

Jan 31, 2017 |

Despite predictions of its demise, the mainframe keeps ticking. And thanks to its longevity, customers are finding the need to integrate mainframes with big data systems is growing. Syncsort, which develops big data solutions for mainframe customers, recently took a look at the state of big data in the mainframe community. Read more…

Why Deep Learning, and Why Now

Jan 30, 2017 |

Deep learning is all the rage today, as companies across industries seek to use advanced computational techniques to find useful information hidden across huge swaths of data. While the field of artificial intelligence is decades old, breakthroughs in the field of artificial neural networks are driving the explosion of deep learning. Read more…

When Big Data Isn’t Enough

Jan 26, 2017 |

The big data paradigm has changed how we make decisions. Armed with sophisticated machine learning and deep learning algorithms that can identify correlations hidden within huge data sets, big data has given us a powerful new tool to predict the future with uncanny accuracy and disrupt entire industries. 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…

RISELab Takes Flight at UC Berkeley

Jan 24, 2017 |

UC Berkeley yesterday officially launched the RISELab, the successor to the highly successful AMPLab that produced superstar open source technologies like Apache Spark and Apache Mesos. There’s no telling what, if any, RISELab projects will strike a chord like Spark and Mesos did. Read more…