Lakehouse 方案简化了整个数据链路,并提高了数据链路的实时性。它从原来的 Lambda 架构,升级到了 Kappa 架构: 从上述 gartner 报告来看,无论是开源社区还是云厂商之间,对于 Delta Lake 都已经有了成熟的解决方案,但 Lakehouse,目前一些技术还是初步应用阶段,但从去年开始已经很多公司将其逐步应用到了各自的业务系统中,...
Lakehouse 方案简化了整个数据链路，并提高了数据链路的实时性。它从原来的 Lambda 架构，升级到了 Kappa 架构：从上述 gartner 报告来看，无论是开源社区还是云厂商之间，对于 Delta Lake 都已经有了成熟的解决方案，但 Lakehouse，目前一些技术还是初步应用阶段，但从去年开始已经很多公司将其逐步应用到了各自的业务系...
The evolving Internet and IoT produce massive volumes of data. This data needs to be managed, using concepts like database, data warehouse, data lake, and lakehouse. What are these concepts? What are their relationships? What are the specific products and solutions? This document helps you unde...
DataWarehouse & Data Lake & LakeHouse 不同维度对比 下图是从各个维度对三种架构的对比,方便我们更好的理解他们的差异以及解决的问题。 基于阿里云体系的云原生数据湖架构 数据湖存储 基于阿里云OSS 产品,可以为数据湖提供稳定的存储底座,它具备高可靠、可扩展、已维护、高安全、低成本、高性能等特点。并提供了版本...
Marketing aside, the key idea about a data lakehouse is to bring computing power to a data lake. Architecturally, the data lakehouse usually consists of: Storage layerto store data in open formats (e.g., Parquet). This layer can be called a data lake, and it is separated from the...
从后续我们的应用场景案例中大家也可以看到关于开源的湖格式 Delta Lake/Hudi/Iceberg 的一些具体应用。湖格式为大家带来了更多的可能,更多人愿意尝试,相关技术讲解可参考我们后续的系列文章。 DataWarehouse & Data Lake & LakeHouse 不同维度对比 下图是从各个维度对三种架构的对比,方便我们更好的理解他们的差异以及...
While the necessity of a lakehouse depends on how complex your needs are, its flexibility and range make it an optimal solution for many enterprise orgs.Data lake Data lakehouse Type Structured, semi-structured, unstructured Structured, semi-structured, unstructured Relational, non-relational ...
This blog breaks down data warehouse, data lake, and data lakehouse concepts and how they compare and contrast, as well as the benefits of each approach. The scope of this blog is to provide a high-level, architecture summary view.
Data lake and data lakehouse solutions and IBM Data lakes and data lakehouses provide a centralized repository for managing large data volumes. They serve as a foundation for collecting and analyzing structured, semi-structured and unstructured data in its native format for long-term storage and to...
Data lake (the “lake” in lakehouse): A data lake is a low-cost storage repository primarily used by data scientists, but also by business analysts, product managers, and other types of end users. It is a big data concept. Unstructured raw data from various organizational sources goes into...