Data Engineering | DatabricksSkip to main contentPlatformThe 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.
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WEBINAR • Goodbye, Data Warehouse. Hello, Lakehouse.
Attend on May 18 and get a $100 credit toward a Databricks certification course
Register nowEasily ingest and transform batch and streaming data on the Databricks Lakehouse Platform. Orchestrate reliable production workflows while Databricks automatically manages your infrastructure at scale. Increase the productivity of your teams with built-in data quality testing and support for software development best practices.Unify batch and streamingEliminate silos on one platform with a single and unified API to ingest, transform and incrementally process batch and streaming data at scale.Focus on getting value from dataDatabricks automatically manages your infrastructure and the operational components of your production workflows so you can focus on value, not on tooling.Connect your tools of choiceAn open Lakehouse Platform to connect and use your preferred data engineering tools for data ingestion, ETL/ELT and orchestration.Build on the Lakehouse PlatformThe Lakehouse Platform provides the best foundation to build and share trusted data assets that are centrally governed, reliable and lightning-fast.“To us, Databricks is becoming the one-stop shop for all of our ETL work. The more we work with the Lakehouse Platform, the easier it is for both users and platform administrators.”— Hillevi Crognale, Engineering Manager, YipitDataHow does it work?Simplified data ingestionAutomated ETL processingReliable workflow orchestrationEnd-to-end observability and monitoringNext-generation data processing engineFoundation of governance, reliability and performanceSimplified data ingestionIngest data into your Lakehouse Platform and power your analytics, AI and streaming applications from one place. Auto Loader incrementally and automatically processes files landing in cloud storage — without the need to manage state information — in scheduled or continuous jobs. It efficiently tracks new files (scaling to billions) without having to list them in a directory, and can also automatically infer the schema from the source data and evolve it as it changes over time. The COPY INTO command makes it easy for analysts to perform batch file ingestion into Delta Lake via SQL.“We’ve seen a 40% productivity uplift for data engineering — reducing the time it takes to develop new ideas from days to minutes and increasing the availability and accuracy of our data.”— Shaun Pearce, Chief Technology Officer, GoustoLearn moreAutomated ETL processingOnce ingested, raw data needs transforming so that it’s ready for analytics and AI. Databricks provides powerful ETL capabilities for data engineers, data scientists and analysts with Delta Live Tables (DLT). DLT is the first framework that uses a simple declarative approach to build ETL and ML pipelines on batch or streaming data, while automating operational complexities such as infrastructure management, task orchestration, error handling and recovery, and performance optimization. With DLT, engineers can also treat their data as code and apply software engineering best practices like testing, monitoring and documentation to deploy reliable pipelines at scale.Learn moreReliable workflow orchestrationDatabricks Workflows is the fully managed orchestration service for all your data, analytics and AI that is native to your Lakehouse Platform. Orchestrate diverse workloads for the full lifecycle including Delta Live Tables and Jobs for SQL, Spark, notebooks, dbt, ML models and more. Deep integration with the underlying Lakehouse Platform ensures you will create and run reliable production workloads on any cloud while providing deep and centralized monitoring with simplicity for end users.“Our mission is to transform the way we power the planet. Our clients in the energy sector need data, consulting services and research to achieve that transformation. Databricks Workflows gives us the speed and flexibility to deliver the insights our clients need.”— Yanyan Wu, Vice President of Data, Wood MackenzieLearn moreEnd-to-end observability and monitoringThe Lakehouse Platform gives you visibility across the entire data and AI lifecycle so data engineers and operations teams can see the health of their production workflows in real time, manage data quality and understand historical trends. In Databricks Workflows you can access dataflow graphs and dashboards tracking the health and performance of your production jobs and Delta Live Tables pipelines. Event logs are also exposed as Delta Lake tables so you can monitor and visualize performance, data quality and reliability metrics from any angle.Next-generation data processing engineDatabricks data engineering is powered by Photon, the next-generation engine compatible with Apache Spark APIs delivering record-breaking price/performance while automatically scaling to thousands of nodes. Spark Structured Streaming provides a single and unified API for batch and stream processing, making it easy to adopt streaming on the lakehouse without changing code or learning new skills.Learn moreState-of-the art data governance, reliability and performanceData engineering on Databricks means you benefit from the foundational components of the Lakehouse Platform — Unity Catalog and Delta Lake. Your raw data is optimized with Delta Lake, an open source storage format providing reliability through ACID transactions, and scalable metadata handling with lightning-fast performance. This combines with Unity Catalog to give you fine-grained governance for all your data and AI assets, simplifying how you govern, with one consistent model to discover, access and share data across clouds. Unity Catalog also provides native support for Delta Sharing, the industry’s first open protocol for simple and secure data sharing with other organizations.Migrate to DatabricksTired of the data silos, slow performance and high costs associated with legacy systems like Hadoop and enterprise data warehouses? Migrate to the Databricks Lakehouse: the modern platform for all your data, analytics and AI use cases.Migrate to DatabricksIntegrationsProvide maximum flexibility to your data teams — leverage Partner Connect and an ecosystem of technology partners to seamlessly integrate with popular data engineering tools. For example, you can ingest business-critical data with Fivetran, transform it in place with dbt, and orchestrate your pipelines with Apache Airflow.Data Ingestion and ETL+ Any other Apache Spark™️ compatible clientCustomer StoriesDiscover moreDelta LakeWorkflowsDelta Live TablesDelta SharingRelated content
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Explore resourceseBooksRise of the Data Lakehouse by Bill Inmon, father of the data warehouseData, Analytics and AI governanceData Management 101The Big Book of Data EngineeringExplore the new Delta Sharing SolutionMigrating from a Data Warehouse to a Data Lakehouse for DummiesEventsTackle Data Transformation With, Delta Live TablesHassle-Free Data Ingestion Webinar SeriesData + AI Summit 2022Modernize your Data WarehouseBlogsAnnouncing General Availability of Databricks Delta Live Tables (DLT)Introducing Databricks WorkflowsAn Overview of All the New Structured Streaming Features Developed in 2021 for Databricks and Apache Spark10 Powerful Features to Simplify Semi-structured Data Management in the Databricks LakehouseReady to get started?Try for freeJoin the communityProductPlatform 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
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