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Title
SkyHive uses machine learning to power workforce recommendations
…arious types of skills and talent. With data processed and prepared for action, SkyHive’s data science team uses MLflow to orchestrate hundreds of machine learning models designed to serve workforce recommendations. “Through the lakehouse architecture, we can now bring all the data together rep…
Description
SkyHive provides AI-generated labor market intelligence, normalizing global job listings and skill sets across industries and languages. Its data science team uses MLflow on the Databricks Data + AI Platform to orchestrate hundreds of machine learning models that generate workforce and job recommendations, analyzing over 1 petabyte of labor data (150 trillion transactions/day). The lakehouse migration let SkyHive query its full dataset in under 20 minutes (versus 22+ hours to process just 1/100th before) and improved time-to-market for new labor insights applications by 13x.
…in scalability and how quickly meaningful insights are served to its customers. Its entire data set is over 1 petabyte, with a volume of 150 trillion transactions per day. Before Databricks, the company would only be able to process and analyze 1/100t…
Company
SkyHive
…rity and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Customer Stories / SkyHive CUSTOMER STORY Modern technology for a modern workforce Watch video 13x Faster…
Problem
SkyHive's traditional Hadoop infrastructure struggled with the tremendous amounts of data being processed and analyzed, creating scalability and speed issues, limiting efficacy, and impacting the end-user experience; the company outgrew its Hadoop environment because accessibility to the data was compromised due to data silos, scalability was limited, and the supporting infrastructure was too expensive to operate.
…ding market intelligence for normalizing global job listings across industries. Its traditional Hadoop infrastructure, however, struggled with the tremendous amounts of data being processed and analyzed — creating scalability and speed issues, limiting efficacy, and impacting the end-user experience. Choosing to move beyond the data warehouse, SkyHive selected Databricks Data +…
Solution
SkyHive selected Databricks Data + AI Platform over a cloud data warehouse for its multicloud support and ability to unify data for analytics and AI; its data science team uses MLflow to orchestrate hundreds of machine learning models designed to serve workforce recommendations, with Delta Lake and Lakeflow Declarative Pipelines removing data engineering complexity.
…impacting the end-user experience. Choosing to move beyond the data warehouse, SkyHive selected Databricks Data + AI Platform over a cloud data warehouse because it provides multicloud support and the ability to unify all its data for analytics and AI, from a single platform. With the lakehouse as the infrastructure behind its data intelligence, SkyHive…
Business value
SkyHive is now able to access all its data and query it in less than 20 minutes, versus needing at least 22 hours to process just 1/100th of its data set before, and has improved its time-to-market of new labor insights applications by 13x, shortening delivery times from 6-8 months to only 2 and a half weeks.
…nd it would take 22 hours at minimum to process, which was extremely expensive. Leveraging the lakehouse architecture, SkyHive is now able to access all its data and query it in less than 20 minutes. “With Databricks, the gains in operational efficiency have been tremendous, and…
….” With the lakehouse as the core technology supporting its analytics platform, SkyHive has improved its time-to-market of new labor insights applications by 13x — streamlining developing efforts and shortening delivery times from 6-8 months to only 2 and a half weeks. Databricks has laid the foundation for SkyHive to realize its vision to re-arch…
Headline outcome
….” With the lakehouse as the core technology supporting its analytics platform, SkyHive has improved its time-to-market of new labor insights applications by 13x — streamlining developing efforts and shortening delivery times from 6-8 months…
Use case type
Personalisation
…arious types of skills and talent. With data processed and prepared for action, SkyHive’s data science team uses MLflow to orchestrate hundreds of machine learning models designed to serve workforce recommendations. “Through the lakehouse architecture, we can now bring all the data together rep…
AI capabilities
Predictive Analytics
…and prepared for action, SkyHive’s data science team uses MLflow to orchestrate hundreds of machine learning models designed to serve workforce recommendations. “Through the lakehouse architecture, we can now bring all the data together re…
Industry
Technology & Software
…solution in the world, offering what no one else can.” Share this post Details Industry : Technology and Software Use Case : Data Science Cloud : AWS Product : Delta Lake Ready to get started?…
Technology
Databricks Data + AI Platform, MLflow, Delta Lake
…arious types of skills and talent. With data processed and prepared for action, SkyHive’s data science team uses MLflow to orchestrate hundreds of machine learning models designed to serve workforce…
…Details Industry : Technology and Software Use Case : Data Science Cloud : AWS Product : Delta Lake Ready to get started? Try Databricks for free Learn more about our product Talk…
Deployment model
cloud
…re this post Details Industry : Technology and Software Use Case : Data Science Cloud : AWS Product : Delta Lake Ready to get started? Try Databricks for free Learn more a…
Deployment options
cloud
…re this post Details Industry : Technology and Software Use Case : Data Science Cloud : AWS Product : Delta Lake Ready to get started? Try Databricks for free Learn more a…
