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Tag: Uber

GitHub Hardens Supply Chain with a Query Engine

Sep 20, 2019 |

The GitHub code repository hosting service has moved to shore up its supply chain with a deal to acquire Semmle, creator of a semantic code analysis engine that allows developers to scan large codebases for vulnerabilities. Read more…

What’s Behind Lyft’s Choices in Big Data Tech

May 10, 2019 |

Lyft was a late entrant to the ride-sharing business model, at least compared to its competitor Uber, which pioneered the concept and remains the largest provider. That delay in starting out actually gave Lyft a bit of an advantage in terms of architecting its big data infrastructure in the cloud, as it was able to sidestep some of the challenges that Uber faced in building out its on-prem system. Read more…

Reporter’s Notebook: The 2018 GTC Experience

Mar 29, 2018 |

Nvidia’s GPU Technology Conference (GTC) is winding down after four days of frenzied GPU action. It was this reporter’s first foray to this particular show, which attracted 8,500 GPU-loving (or just GPU-curious) folks to downtown San Jose. Read more…

4 Ways Uber Movement Data Can Be Used

Jan 17, 2017 |

Smart city planners rejoiced last week when Uber announced it would share trip data gathered from vehicles in its ridesharing fleet through its new Uber Movement offering. Besides helping to spot traffic bottlenecks in congested city cores, Uber Movement stands to bring benefits in other areas, too. Read more…

Finding Your Way in the New Data Economy

Jan 25, 2016 |

In big data analytics today, the goal is to capture, cleanse, and analyze as much data as possible. The leading practitioners are blending dozens of external sources with their own data sets, maybe more. Read more…

How Uber Uses Spark and Hadoop to Optimize Customer Experience

Oct 5, 2015 |

If you’ve ever used Uber, you’re aware of how ridiculously simple the process is. You press a button, a car shows up, you go for a ride, and you press another button to pay the driver. Read more…

Experfy: The Uber of Big Data Projects

Apr 20, 2015 |

Starting a big data analytics project can be tough, especially for mid-size firms that can’t justify the cost of a full-time data scientist and don’t want to deal with traditional consulting firms. Read more…

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