Data Modeling Best Practices for Lakehouse | Databricks Blog
2022年10月20日 · In this article, we aim to dive deeper into the best practice of dimensional modeling on the Databricks Lakehouse Platform and provide a live example of a physical data model implementation using our table creation and DDL best practices. Here are the high-level topics we will cover in this blog:
What is a data lakehouse? - Azure Databricks | Microsoft Learn
2024年10月31日 · By combining an optimized metadata layer with validated data stored in standard formats in cloud object storage, the data lakehouse allows data scientists and ML engineers to build models from the same data-driven BI reports.
What is a Data Lakehouse? - Databricks
A data lakehouse is a new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and ACID transactions of data warehouses, enabling business intelligence (BI) and machine learning (ML) on all data.
What Is a Lakehouse? | Databricks Blog
2020年1月30日 · Learn more about the new data management paradigm data lakehouses -- its evolution, adoption, common use cases, and its advantages over previous systems and technologies.
Lakehouse 架构解析与云上实践 - 阿里云开发者社区
2021年12月22日 · 简介： 本文整理自 DataFunCon 2021大会上，阿里云数据湖构建云产品研发陈鑫伟的分享，主要介绍了 Lakehouse 的架构解析与云上实践。 1980年后期，以 Teradata、Oracle 等产品为代表的数据仓库，主要用于解决 BI 分析和报表的数据采集与计算需求。 通过内置存储系统，对上层提供数据抽象，数据经过清洗和转化，以已定义的schema结构写入，强调建模和数据管理以提供更好的性能和数据一致性，具备细粒度的数据管理和治理能力；支持事务、版本管 …
Introduction to the well-architected data lakehouse
Understand the pros and cons of decisions you make when building the lakehouse. This framework provides architectural best practices for developing and operating a safe, reliable, efficient, and cost-effective lakehouse. See Data lakehouse architecture: Databricks well-architected framework.
Build a Lake House Architecture on AWS | AWS Big Data Blog
2021年4月28日 · In this post, we present how to build this Lake House approach on AWS that enables you to get insights from exponentially growing data volumes and help you make decisions with speed and agility.
What is a data lakehouse? - IBM
Data lakes are commonly built on big data platforms such as Apache Hadoop. They are known for their low cost and storage flexibility as they lack the predefined schemas of traditional data warehouses. They also house different types of data, such as audio, video, and text.
Data Modeling in the Lakehouse - Medium
2023年5月10日 · According to my study, Inmon-style modelling is the best strategy for a Lakehouse. Both the Bronze and Silver layers would be source-oriented in this case, with the normalised ER model serving as...
Part 3 – Data Modeling in Data Warehouses, Data Lakes, and Lake …
2022年1月17日 · How do I model my lake house or data lake?” – people on the internet. What is the confusion and what are people trying to articulate as the core issue? The question centers around file based data models (think Delta Lake and Iceberg) vs relational database (Postgres, SQL Server) models. (read my previous blog post on this topic)
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