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Tag: Data engineering

Fivetran Launches Pay-As-You-Go Option for ETL

Sep 14, 2020 |

Fivetran wants to make it “stupidly simple” for customers to load data into cloud data warehouses, and judging from the company’s rapid growth, it seems to be working. Last week, the extract, transformation, and load (ETL) service company doubled-down on the simplicity mantra with a new plan that lets data customers pay by the sip. Read more…

Snowflake to Make it SNOW on NYSE

Aug 25, 2020 |

Rumors have been swirling for weeks that Snowflake confidentially filed for an IPO with the Securities and Exchange Commission. Yesterday, the Silicon Valley-based cloud data warehousing company made it official: Read more…

Planning an ETL Proof of Concept? Here Is What You Need to Consider

Aug 18, 2020 |

Picture this: You are trying to track the sentiment of your product using first-party customer data, social data, and social listening data to determine the success of a new feature. Read more…

MLB Hits a Home Run with BigQuery Migration

Aug 13, 2020 |

The Padres’ Fernando Tatis Jr. may be delighting baseball fans with his energetic style of play during this COVID-shortened season. But there’s plenty of excitement in the back office too, now that Major League Baseball has completed its migration to Google Big Query. Read more…

To Centralize or Not to Centralize Your Data–That Is the Question

Jul 14, 2020 |

Should you strive to centralize your data, or leave it scattered about? It seems like it should be a simple question, but it’s actually a tough one to answer, particularly because it has so many ramifications for how data systems are architected, particularly with the rise of cloud data lakes. Read more…

Python Dominates, Usage Survey Confirms

Feb 19, 2020 |

Data scientists, machine learning developers and data engineers are turning decisively to the Python programming language, according to a new study.

An annual usage analysis released this week by O’Reilly Media also found a decided shift towards cloud native design for software, IT infrastructure and DevOps. Read more…

AtScale Tackles Data Engineering with Virtualization Software

Jan 15, 2020 |

It’s often the prep work in analytics that kills you. Before any analysis can be run, engineers must assemble, transform, and standardize the data. In a world where data silos are proliferating in the cloud, on premise, and everywhere in between, that becomes a big challenge. Read more…

Dogged Determination: How Trupanion Pulled AI Across the Finish Line

Oct 14, 2019 |

David Jaw had reason to be excited. As a data scientist at Trupanion, Jaw had just put the finishing touches on the prototype of a machine learning model that could replicate the actions of a human claims adjuster with a high degree of accuracy. Read more…

Paving the Way for DataOps

Sep 25, 2019 |

How is your DataOps going? Have you become a bona fide “insights-driven” business yet? Or are you still struggling to implement DataOps effectively across your organization? If you’re like most, it’s probably the latter. Read more…

The Anatomy of AI: Understanding Data Processing Tasks

Aug 6, 2019 |

So you’re collecting lots of data with the intention to automate decision-making through the strategic use of machine learning. That’s great! But as your data scientists and data engineers quickly realize, building a production AI system is a lot easier said than done, and there are many steps to master before you get that ML magic. Read more…

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