Burberry sees a 99% reduction in latency for customer clickstream data with Databricks. Read more. Customer Story Driving into the future of electric transportation. Rivian uses Databricks to harness IoT streaming data insights from 25,000+ vehicles, delivering AI innovations to market faster and providing better experiences for drivers ...
Customer Story: Shell
With Databricks as a key component of the Shell.ai platform, Shell is able to run data analytics and deploy machine learning models that improve operational efficiencies. Using a common platform has empowered engineers, data scientists and analysts to be more agile, collaborative and data driven. Shell currently has over 100 AI projects running ...
298 Databricks Case Studies, Success Stories, & Customer Stories
Databricks has carved out a reputation for being a unified platform that caters to data engineering, machine learning, and analytics, a feature that has resonated well with thousands of organizations worldwide. The platform's venture-backed foundation and global presence have been a testament to its robust capabilities.
Databricks Customer Case Study
Databricks Customer Case Study - Elsevier. Democratize Data to Advance Scientific Research. Elsevier Labs needed a data platform to develop innovative natural language processing algorithms and models to help the product team create new scientific research tools. Prior to implementing Databricks, Elsevier Labs had been hampered by inefficient ...
Deloitte
Deloitte's case study on Databricks showcases the company's expertise in data strategy, platform modernization, and AI solutions.
Databricks Case Study Case Study
Databricks selected Simba to provide its ODBC 3.8 Data Connector for Databricks Spark SQL, its powerful SQL-query engine for Apache Spark. Databricks now includes the driver free of charge in its Databricks Cloud platform. For Databricks, the Simba ODBC Data Connector enables Databricks customers to query their Spark data with their preferred BI tool (like Tableau, Excel, Qlik, MicroStrategy ...
Databricks Case Study
Databricks, the data and AI company, has been on a growth tear for the last several years. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly and over 50% of the Fortune 500—rely on the Databricks Data Intelligence Platform to unify their data, analytics and AI. However, when we started working together in ...
787 Databricks Customer Reviews & References
Customer Reference Ratings. Databricks customer references have an aggregate content usefuless score of 4.7 based on 4564 user ratings. Total ratings (4564) 4.7/5.0. Testimonials (1906) View testimonials +. Case Studies (1848) View case studies +. Customer Videos (810)
AI in Healthcare: CureBay & Databricks Innovate
Efficient Customer Targeting: The Databricks-engineered customer acquisition engine revolutionized Curebay's approach, infusing marketing intelligence and a refined healthcare strategy into their processes for targeting potential customers. Data-Driven Insights: The solution transformed raw survey data into actionable insights, providing a clearer understanding of the non-metropolitan market ...
The secret sauce behind Databricks' marketing analytics growth
The downstream impacts of Chris' decision making are already being felt internally at Databricks. Customer Service and Customer Success have seen how easy the process has been and are asking for more use cases and connectors to be switched on. ... Case study. National Australia Bank enhances customer experiences and powers GenAI. Case study ...
Customer Story: AT&T
AT&T Uses Databricks to Stop Fraud Before It Happens. AT&T is using data and AI to deliver predictive solutions that protect its customers from fraud. Moving from an on-premises architecture to a cloud-based lakehouse allows AT&T to take in all kinds of data, standardize it and then run ML models that drive fraud alerts in real time.
Best Real-World Databricks Use Cases
7 Databricks Case Studies Knowing about Databricks case studies is essential as they showcase real-world applications of Data Analytics, Machine Learning, and big data solutions. These studies provide valuable insights into best practices, problem-solving strategies, and innovative uses of Databricks, helping professionals enhance their skills ...
Customer spotlight: Databricks
Databricks is a software platform that helps its customers unify their analytics across business, data science, and engineering teams. Founded in 2013, the company has experienced rapid growth in the last two years. Databricks more than tripled in size from 400 to 1,300 in 2019. With 50-80 new people joining the company each month, IT was busy ...
Databricks Customer Success Stories
Databricks Inc. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121
Building Scalable Data Lakehouse with Azure Databricks
Data Lakehouse Architecture - Ensure ACID transaction on big data scale and processing, ensuring cost efficiency and performance. High-Performance Engineering - DevOps and automation partner to ensure faster development-to-release cycles. Model deployment time reduced from 8-12 months to 2-4 months. 90% faster report development time.
Databricks Case Study
Challenge. • Databricks, a software company offering a cloud-based platform that unifies data and artificial intelligence, needed to shift an in-person conference in London to a virtual format as a result of the COVID-19 pandemic. While a virtual setting provided Databricks with the opportunity to broaden their pool of potential attendees, it ...
How Databricks Saves $1.4M Annually with Grammarly
And Grammarly helps everyone communicate more effectively in a singular brand voice for an exceptional customer experience. Databricks credits Grammarly with helping to accelerate writing and reviews, protect its brand, upskill employees, and accelerate employee onboarding. All of this amounts to an estimated $1.4 million saved annually.
How Viacom Revolutionized Audience Experiences with Real ...
This webinar will cover: The challenges Viacom faced building a scalable, real-time data insights and AI platform. How they overcame these challenges with Spark, AWS, and Databricks. How they leverage a unified analytics platform for data pipelines, analytics, and machine learning to reduce video start delays by 33% and improve content delivery ...
Customer Story: AstraZeneca
AstraZeneca leverages the Databricks Data Intelligence Platform to help build a knowledge graph of biological insights and facts. The graph powers a recommendation system that enables any AstraZeneca scientist to generate novel target hypotheses, for any disease, leveraging all of the data available to them. Fully managed platform: Simplified ...
Customer Story: Walgreens
Since migrating to the Databricks Data Intelligence Platform, Walgreens has optimized their supply chain by right-sizing inventory levels to save millions of dollars. Now processing 40,000 data events per second, Walgreens has the scalability to apply data insights for significant wins. Store stocking requirements are now determined by data ...
Three Practical Use Cases with Azure Databricks
Explore three common analytics use cases—a churn analysis model, a recommendation engine, and an intrusion detection demo. In this e-book, you'll: Walk through practical use cases with pre-built Azure Databricks notebooks to run relevant analytics models. Get examples of working code and step-by-step explanations of three common analytics ...
Three Practical Use Cases for Databricks on AWS
Get hands-on with Databricks notebooks and code the three most common data science scenarios, with code examples and commentary. Learn how to code: Recommendation engines: Improve customer engagement and drive revenue by suggesting relevant products and services. Churn analysis: Future-proof your business by predicting and preventing churn of ...
COMMENTS
Burberry sees a 99% reduction in latency for customer clickstream data with Databricks. Read more. Customer Story Driving into the future of electric transportation. Rivian uses Databricks to harness IoT streaming data insights from 25,000+ vehicles, delivering AI innovations to market faster and providing better experiences for drivers ...
With Databricks as a key component of the Shell.ai platform, Shell is able to run data analytics and deploy machine learning models that improve operational efficiencies. Using a common platform has empowered engineers, data scientists and analysts to be more agile, collaborative and data driven. Shell currently has over 100 AI projects running ...
Databricks has carved out a reputation for being a unified platform that caters to data engineering, machine learning, and analytics, a feature that has resonated well with thousands of organizations worldwide. The platform's venture-backed foundation and global presence have been a testament to its robust capabilities.
Databricks Customer Case Study - Elsevier. Democratize Data to Advance Scientific Research. Elsevier Labs needed a data platform to develop innovative natural language processing algorithms and models to help the product team create new scientific research tools. Prior to implementing Databricks, Elsevier Labs had been hampered by inefficient ...
Deloitte's case study on Databricks showcases the company's expertise in data strategy, platform modernization, and AI solutions.
Databricks selected Simba to provide its ODBC 3.8 Data Connector for Databricks Spark SQL, its powerful SQL-query engine for Apache Spark. Databricks now includes the driver free of charge in its Databricks Cloud platform. For Databricks, the Simba ODBC Data Connector enables Databricks customers to query their Spark data with their preferred BI tool (like Tableau, Excel, Qlik, MicroStrategy ...
Databricks, the data and AI company, has been on a growth tear for the last several years. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly and over 50% of the Fortune 500—rely on the Databricks Data Intelligence Platform to unify their data, analytics and AI. However, when we started working together in ...
Customer Reference Ratings. Databricks customer references have an aggregate content usefuless score of 4.7 based on 4564 user ratings. Total ratings (4564) 4.7/5.0. Testimonials (1906) View testimonials +. Case Studies (1848) View case studies +. Customer Videos (810)
Efficient Customer Targeting: The Databricks-engineered customer acquisition engine revolutionized Curebay's approach, infusing marketing intelligence and a refined healthcare strategy into their processes for targeting potential customers. Data-Driven Insights: The solution transformed raw survey data into actionable insights, providing a clearer understanding of the non-metropolitan market ...
The downstream impacts of Chris' decision making are already being felt internally at Databricks. Customer Service and Customer Success have seen how easy the process has been and are asking for more use cases and connectors to be switched on. ... Case study. National Australia Bank enhances customer experiences and powers GenAI. Case study ...
AT&T Uses Databricks to Stop Fraud Before It Happens. AT&T is using data and AI to deliver predictive solutions that protect its customers from fraud. Moving from an on-premises architecture to a cloud-based lakehouse allows AT&T to take in all kinds of data, standardize it and then run ML models that drive fraud alerts in real time.
7 Databricks Case Studies Knowing about Databricks case studies is essential as they showcase real-world applications of Data Analytics, Machine Learning, and big data solutions. These studies provide valuable insights into best practices, problem-solving strategies, and innovative uses of Databricks, helping professionals enhance their skills ...
Databricks is a software platform that helps its customers unify their analytics across business, data science, and engineering teams. Founded in 2013, the company has experienced rapid growth in the last two years. Databricks more than tripled in size from 400 to 1,300 in 2019. With 50-80 new people joining the company each month, IT was busy ...
Databricks Inc. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121
Data Lakehouse Architecture - Ensure ACID transaction on big data scale and processing, ensuring cost efficiency and performance. High-Performance Engineering - DevOps and automation partner to ensure faster development-to-release cycles. Model deployment time reduced from 8-12 months to 2-4 months. 90% faster report development time.
Challenge. • Databricks, a software company offering a cloud-based platform that unifies data and artificial intelligence, needed to shift an in-person conference in London to a virtual format as a result of the COVID-19 pandemic. While a virtual setting provided Databricks with the opportunity to broaden their pool of potential attendees, it ...
And Grammarly helps everyone communicate more effectively in a singular brand voice for an exceptional customer experience. Databricks credits Grammarly with helping to accelerate writing and reviews, protect its brand, upskill employees, and accelerate employee onboarding. All of this amounts to an estimated $1.4 million saved annually.
This webinar will cover: The challenges Viacom faced building a scalable, real-time data insights and AI platform. How they overcame these challenges with Spark, AWS, and Databricks. How they leverage a unified analytics platform for data pipelines, analytics, and machine learning to reduce video start delays by 33% and improve content delivery ...
AstraZeneca leverages the Databricks Data Intelligence Platform to help build a knowledge graph of biological insights and facts. The graph powers a recommendation system that enables any AstraZeneca scientist to generate novel target hypotheses, for any disease, leveraging all of the data available to them. Fully managed platform: Simplified ...
Since migrating to the Databricks Data Intelligence Platform, Walgreens has optimized their supply chain by right-sizing inventory levels to save millions of dollars. Now processing 40,000 data events per second, Walgreens has the scalability to apply data insights for significant wins. Store stocking requirements are now determined by data ...
Explore three common analytics use cases—a churn analysis model, a recommendation engine, and an intrusion detection demo. In this e-book, you'll: Walk through practical use cases with pre-built Azure Databricks notebooks to run relevant analytics models. Get examples of working code and step-by-step explanations of three common analytics ...
Get hands-on with Databricks notebooks and code the three most common data science scenarios, with code examples and commentary. Learn how to code: Recommendation engines: Improve customer engagement and drive revenue by suggesting relevant products and services. Churn analysis: Future-proof your business by predicting and preventing churn of ...