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With dbt on Databricks, you can build ELT pipelines right inside Databricks. You’ll never have to wait for critical data to be accessible in SQL or use unreliable dashboards. Find out how it works , in this EMEA timezone webinar replay.
A data lakehouse combines the best of data warehouses and data lakes into a single, unified architecture that can serve all data use cases. In this workshop, you’ll get an overview of how Databricks enables you to build a lakehouse architecture that delivers data warehouse performance with data lake economics, all powered by open source technologies.
Get an overview of the Databricks Lakehouse Platform and gain the skills to use Databricks in your future career. This free learning path includes several e-learning segments and a final accreditation in Databricks Academy. It’s designed for students who are exploring jobs as data scientists, data engineers and data analysts.
올해 6월 27일부터 30일까지 온/오프라인으로 DATA + AI Summit 2022 행사가 진행되었습니다. 100,000여 명의 데이터 전문가가 세계에서 가장 큰 규모의 데이터 그리고 AI 컨퍼런스에 모여서 나흘 동안 세션, 키노트, 교육, 데모 등을 성황리에 마쳤습니다. 이제 한국 고객분들을 위해서 Data+AI Summit 2022 키노트 내용을 핵심 요약하여 쉽게 이해하실 수 있도록 Data+AI Summit 2022 다시보기 웨비나를 준비했습니다.
이제, 데이터 레이크하우스는 데이터의 새로운 목적지 입니다. 8월 24일 웨비나에서 자세히 알아보세요!
Databricks Unity Catalog provides a unified governance solution for all data and AI assets on any cloud, empowering data teams with a common governance model based on ANSI SQL. Join us to get a detailed product overview, a live demo and hear how customers are leveraging Unity Catalog to simplify their data governance.
In this webinar, you will learn how Delta Live Tables enables data analysts to accelerate ETL development and innovate rapidly with simple pipeline development and maintenance. You will also learn to trust in your data with built-in quality controls and data quality monitoring to ensure accurate and useful BI, data science and ML, and how DLT gives you the ability to scale with automated administration through broader visibility into pipeline operations, automatic error handling and auto-scaling capabilities.
In this live workshop, gaming specialists from AWS and Databricks will showcase pre-built Solution Accelerators for the most common data and AI use cases throughout the game development lifecycle — including in-game personalization, behavioral segmentation, customer lifetime value and survivorship/churn prediction.
Delivering intelligent analytics applications with Databricks and Power BI
An overview of the lakehouse architecture
Why organizations are moving to this new data and AI paradigm
How Daimler/Mercedes Benz standardized on Power BI and Databricks to deliver insights at scale and democratize data through the rapid deployment of BI use cases
A demo of how data engineers and data analysts can get the most from their lakehouse using Delta Lake on Azure Databricks
How to build instant dashboards using Power BI’s strong native integration with Azure Databricks
Organizations must embrace the cloud to harness all their data and leverage AI. But many still have data trapped in on-premises data lakes and data warehouses — in environments like Hadoop. Join us to learn how enterprises are unleashing the power of highly scalable big data with cloud-based alternatives like the Databricks Lakehouse.
A data lakehouse combines the best of data warehouses and data lakes into a single, unified architecture that can serve all data use cases — including BI, streaming analytics, data science and machine learning. In this workshop, you’ll get an overview of how Databricks enables you to build a lakehouse architecture that delivers data warehouse performance with data lake economics, all powered by open source technologies.