Nemo: Data discovery at Facebook
Large-scale companies serve millions or even billions of people who depend on the services these companies provide for their everyday needs. To keep these services running and delivering meaningful experiences, the teams behind them need to find the most relevant and accurate information quickly so that they can make informed decisions and take action. Finding the right information can be hard for
How We Improved Data Discovery for Data Scientists at Spotify - Spotify Engineering
How We Improved Data Discovery for Data Scientists at Spotify At Spotify, we believe strongly in data-informed decision making. Whether we’re considering a big shift in our product strategy or we’re making a relatively quick decision about which track to add to one of our editorially-programmed playlists, data provides a foundation for sound decision making. An insight is a conclusion drawn from d
Open Sourcing DataHub: LinkedIn’s Metadata Search and Discovery Platform
Open Source Open sourcing DataHub: LinkedIn’s metadata search and discovery platform Co-authors: Kerem Sahin, Mars Lan, and Shirshanka Das Finding the right data quickly is critical for any company that relies on big data insights to make data-driven decisions. Not only does this impact the productivity of data users (including analysts, machine learning developers, data scientists, and data engin
Open Sourcing WhereHows: A Data Discovery and Lineage Portal
In modern data-driven businesses, the complexity that arises from fast-paced analytics, data mining and ETL processes makes metadata increasingly important. In this blog post, we share our own journey and a new open source effort that aims to boost productivity and data provenance. WhereHows, a project of the LinkedIn Data team, works by creating a central repository and portal for the processes,
Amundsen — Lyft’s data discovery & metadata engine
This post introduces the Amundsen project — its goals and users. You can learn more about a hosted version of Amundsen at Stemma. In order to increase the productivity of data scientists and research scientists at Lyft, we developed a data discovery application built on top of a metadata engine. Code named, Amundsen (after the Norwegian explorer, Roald Amundsen), we improve the productivity of our
Databook: Turning Big Data into Knowledge with Metadata at Uber
You’re seeing information for Japan . To see local features and services for another location, select a different city. Show more From driver and rider locations and destinations, to restaurant orders and payment transactions, every interaction on Uber’s transportation platform is driven by data. Data powers Uber’s global marketplace, enabling more reliable and seamless user experiences across our
Discovery and Consumption of Analytics Data at Twitter
Insights Discovery and Consumption of Analytics Data at Twitter Introduction The Data Platform team at Twitter maintains systems to support and manage the production and consumption of data for a variety of business purposes, including publicly reported metrics (e.g., monthly or daily active users), recommendations, A/B testing, ads targeting, etc. We run some of the largest Hadoop clusters in the
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Data Discovery Platforms and Their Open Source Solutions
Ground Metadata