This article explains the developmental stages of Alibaba’s data middle platform.
This article explains how MaxCompute, a SaaS-based cloud data warehouse, powers the SaaS-based cloud strategy of data banks and all-in-one open data scenarios.
This article describes how to use ApsaraDB for PostgreSQL to achieve data lake analysis based on the foreign table object type of PostgreSQL.
This article shares the results of explorations into real-time data warehouses focusing on the evolution and best practices for data warehouses based on Apache Flink and Hologres.
This article explains the background of Delta Lake along with practices, problems, and solutions.
This article focuses on the best practice of Hologres in Taobao's marketing analysis scenarios.
This article introduces the best practices and cases for building, analyzing, developing, and governing cloud-native data lakes.
This article is a translation of the speech on how to quickly implement data warehouse and lake house based on MaxCompute.
Continuous Evolution and Development of Data Warehouse Architecture – Cloud Native, Lake house, Offline-Realtime Unification and SaaS Mode
This article focuses on how Hologres is implemented in the real-time data warehouse scenario of Fliggy.
This article focuses on Hologres' best practice of successfully replacing Apache Druid in the Alibaba Network Monitoring Department.
Abstract: This article introduces the storage engine of Hologres and deeply analyzes its implementation principles and core technical advantages.
This article gives an introduction to Alibaba’s cloud-native real-time data warehouse, Hologres. It explains how Hologres has been implemented and what Alibaba's business scenarios it supports.
This article explains agile manufacturing and how it relates to Alibaba Cloud DataWorks.
This article introduces the exploration and practice of Mobvista in the field of cloud-native data lakes, as well as the architecture of StarLake.
This post describes the core capabilities of MaxCompute and discusses its advantages through several use cases.
Part 6 of this article series discusses using Quick BI to make smart business decisions.
In this article, the author explains building a real-time data warehouse using Apache Flink and Apache Iceberg.
This article briefly discusses data lake systems, their features, and describes the process of building a data lake storage based on Alibaba Cloud OSS.
This article explains creating a small-scale real-time data warehouse with ApsaraDB RDS for PostgreSQL and describes how it supports mysql_fdw to enable read and write access to MySQL.