Learn what Azure Databricks is, what it is used for, and what tools are available on the Databricks Data Intelligence Platform.
Azure Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. The Databricks Data Intelligence Platform integrates with cloud storage and security in your cloud account, and manages and deploys clou...
deep understanding of your data's semantics, enabling self-service data analysis for everyone in your organization. AI/BI is built on acompound AI systemthat draws insights from the full lifecycle of your data across the Azure Databricks platform, including ETL pipelines, lineage, and other ...
Azure Databricks 是一个统一的开放分析平台,用于大规模构建、部署、共享和维护企业级数据、分析和 AI 解决方案。 Databricks Data Intelligence Platform 与云帐户中的云存储和安全性集成,并为你管理和部署云基础结构。 Azure Databricks 将生成式 AI 与数据湖配合使用,以了解数据的独特语义。 然后,它会自动优化性能并...
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While there is no single data governance strategy that will work for every business, a cloud-based, scalable solution, such as Azure, will help organizations adapt to future needs while being more cost-effective. Plus, whatever data governance tool you select, make sure it helps: Improve the ...
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Monitor: Monitor the performance of your code and workflows in Databricks using tools like Azure Monitor or Datadog. This helps you identify and resolve any issues that arise in your production environment. Iterate: Make small, frequent iterations to improve and update your data engineering or data...
Data lakes were initially built on big data platforms such as Apache Hadoop. But the core of modern data lakes is a cloud object storage service, which allows them to store all types of data. Common services include Amazon Simple Storage Service (Amazon S3), Microsoft Azure Blob Storage, Goo...