Hotels com - DatabricksPlatformThe Databricks Lakehouse PlatformDelta LakeData GovernanceData EngineeringData StreamingData WarehousingData SharingMachine LearningData SciencePricingMarketplaceOpen source techSecurity and Trust CenterWEBINAR May 18 / 8 AM PT
Goodbye, Data Warehouse. Hello, Lakehouse.
Attend to understand how a data lakehouse fits within your modern data stack.
Register nowSolutionsSolutions by IndustryFinancial ServicesHealthcare and Life SciencesManufacturingCommunications, Media & EntertainmentPublic SectorRetailSee all IndustriesSolutions by Use CaseSolution AcceleratorsProfessional ServicesDigital Native BusinessesData Platform MigrationNew survey of biopharma executives reveals real-world success with real-world evidence.
See survey resultsLearnDocumentationTraining & CertificationDemosResourcesOnline CommunityUniversity AllianceEventsData + AI SummitBlogLabsBeaconsJoin Generation AI in San Francisco
June 26–29
 
Learn about LLMs like Dolly and open source Data and AI technologies such as Apache Spark™, Delta Lake, MLflow and Delta SharingExplore sessionsCustomersPartnersCloud PartnersAWSAzureGoogle CloudPartner ConnectTechnology and Data PartnersTechnology Partner ProgramData Partner ProgramBuilt on Databricks Partner ProgramConsulting & SI PartnersC&SI Partner ProgramPartner SolutionsConnect with validated partner solutions in just a few clicks.Learn moreCompanyCareers at DatabricksOur TeamBoard of DirectorsCompany BlogNewsroomDatabricks VenturesAwards and RecognitionContact UsSee why Gartner named Databricks a Leader for the second consecutive yearGet the reportTry DatabricksWatch DemosContact UsLoginJUNE 26-29REGISTER NOWCUSTOMER STORYPersonalized hotel recommendations with deep learning INDUSTRY: Travel and hospitality SOLUTION: Customer retention,recommendation engines PLATFORM USE CASE: Data science,machine learning,ETL CLOUD: AWS“Agility and flexibility were critical for us to successfully support our data science and engineering goals. Moving to Databricks’ Unified Analytics Platform to run 100% of our workflows has been a huge boost for our business and our customers.”
—Matt Fryer VP, Chief Data Science Officer, Hotels.comHotels.com is a premier website for booking accommodations online with 90 websites in 41 languages, listing over 325,000 hotels in approximately 19,000 locations. Their travel booking app has been downloaded over 70 million times helping global travelers find the perfect place to stay.The ChallengesHotels.com hosts millions of photos for the 325,000+ hotels on their website. Every day thousands of new photos are uploaded by properties and customers alike. These photos need to be rapidly analyzed to avoid duplicative and low-quality images and then classified (e.g. kitchen, pool, gym) so they can be logically sorted. Finally, as customers search the site, hotel recommendations need to be personalized to help customers find the perfect hotel for their needs. Achieving this requires massive compute power and advanced analytics.Leverage machine learning to drive consumer experience: Massive volume of image files corresponding to each property listing included duplicates and lacked organization for ranking and classification. Needed to build in real-time scoring and become more efficient at deploying machine learning/deep learning models into production.Build a more robust and faster data pipeline: On premise Hadoop cluster using SQL and SAS to do data science at scale was slow and limiting – taking 2 hours to process the data pipeline on only 10% of the data.Increase customer conversions: Being able to understand customer trends in real-time to develop strategies to drive conversion and lifetime value.The SolutionDatabricks has helped Hotels.com to realize its goal of becoming “data science focused” so that they can anticipate customer behavior and provide a more optimized user experience.Cluster Management: Able to scale volume of data significantly without adding infrastructure complexity.Interactive Workspace: Foster a culture of collaboration among data science teams within Hotels.com as well as other business units within Expedia.Databricks Runtime: Increase processing performance of streaming data even at scale.“Agility and flexibility were critical for us to successfully support our data science and engineering goals. Moving to Databricks’ Unified Analytics Platform to run 100% of our workflows has been a huge boost for our business and our customers.”— Matt Fryer VP, Chief Data Science Officer, Hotels.comThe ResultsAccelerate ETL at scale: Able to increase the volume of data processed by 20x without impacting performance.Optimized user experience: Highly accurate and effective display of images within the context of property searches by customers.Increased sales efficiency: Providing the right hotel with the right images based on searches has resulted in higher conversions.Related ContentWhitepapersSlides Keynote SlidesReady to get started?Try Databricks for freeLearn more about our productTalk to an expertProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoProductPlatform OverviewPricingOpen Source TechTry DatabricksDemoLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunityLearn & SupportDocumentationGlossaryTraining & CertificationHelp CenterLegalOnline CommunitySolutionsBy IndustriesProfessional ServicesSolutionsBy IndustriesProfessional ServicesCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsCompanyAbout UsCareers at DatabricksDiversity and InclusionCompany BlogContact UsSee Careers
at DatabricksWorldwideEnglish (United States)Deutsch (Germany)Français (France)Italiano (Italy)日本語 (Japan)한국어 (South Korea)Português (Brazil)Databricks Inc.
160 Spear Street, 13th Floor
San Francisco, CA 94105
1-866-330-0121© Databricks 2023. All rights reserved. Apache, Apache Spark, Spark and the Spark logo are trademarks of the Apache Software Foundation.Privacy Notice|Terms of Use|Your Privacy Choices|Your California Privacy Rights