The Unified Data Lakehouse Platform for Self-Service Analytics and AI. Dremio provides the fastest SQL engine with the best price-performance for Apache Iceberg
abilities of a data lake and a data warehouse to provide a modern data lakehouse platform that processes streaming and other types of data from a broad range of enterprise data resources so that you can leverage the data for business analysis, machine learning, data services, and data products...
more data catalogs Trusted by Innovators Across Industries +50 Discover how leading companies are transforming their data strategy with Starburst Galaxy. From optimizing data pipelines to unlocking real-time insights, see how our platform powers mission-critical workloads at scale. ...
Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Data Management Data Warehousing Real-Time Analytics Data Engineering Data Science Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data ...
The Modern Cloud Data Platform Get the basics of lakehouse vs. other data management options. Dive into the benefits of unifying analytical workloads. Read now Whitepaper Ventana Research I 12-min read Data Warehouses Meet Data Lakes Find out how the lakehouse overcomes data challenges and support...
Starburst Enterprise Platform 462-e.1 LTS product release December 2, 2024 Full story 5 reasons why operating streaming ingestion as a service is difficult November 25, 2024 Full story What is a data lake? November 12, 2024 Full story
data lake and data warehouse to help enterprises build a whole new integrated data platform by bridging the gulf between the data lake and the data warehouse.The flexibility, diversity and rich ecology of the data lake are united with the enterprise data analytic capabilities of the data ...
近些年来数据仓库(Data Warehouse)领域有很多技术进展。尤其随着云服务的愈加流行,很多基于云服务的数据仓库解决方法喷涌而出。比如 Google Cloud 的 BigQuery 和 AWS 的 Redshift 现在已经开始被大范围的使用。那么现在数据平台(Data Platform)面临着什么样的问题而未来的发展又会是怎样的呢?今天,我们来聊聊一篇 CIDR...
在医疗保健领域,安全一直是我们数据平台中启用的重中之重。我们在私有子网中托管了几乎所有基础设施,并启用 Lake Formation 来管理对 Data Lake 的访问。我们还对静态数据使用 AWS 加密。这提供了数据湖和整体数据平台的安全存储。 2. 自动化 自动化总是有助于减少构建和维护平台的工程工作量。在 Platform 2.0 中...
DeltaLake的ML框架提供了直接读取parquet文件的接口以及Spark DataFrame API。还有其他的一些功能(担心翻译不准,就不翻译了,看图吧。) 最后,大神的结论是:简化数据架构以改善可访问性、可靠性和及时性(Simplify data architectures to improve access, reliability & timeliness)。 参考 ^...