This article discusses the overall updates to Lakehouse architecture.
Read this blog to understand the inner workings and benefits of Hologres, our cloud-native integrated data warehouse service.
This article discusses the new capabilities and advantages of real-time offline integration of Alibaba Cloud Data Warehouse.
This article uses EMR (Cloud Hadoop) to simulate a local Hadoop cluster accessing MaxCompute data.
This short article discusses conversion issues in UNION and problem-solving tactics.
This article discusses a specific scenario where you can use the DataWorks process parameters feature without frequently modifying the project name.
This article explains the incremental processing method and some common problems and solutions.
This article introduces the issues and challenges that need to be considered in the multi-tenancy implementation of the public cloud big data platform.
This article explains how Hupan Network (Wanli Niu) uses Alibaba Cloud's big data components to build a data middle platform step by step.
This article explains the continuous evolution of data warehouses, featuring offline/real-time integration and lake house.
This article introduces the practical experience of the cloud-native upgrade of big data platforms in the digital marketing industry.
This article explains how Amazon Redshift can migrate to Alibaba Cloud MaxCompute.
This article explains the four stages of lake house evolution within the Shanghai Shuhe Group.
This article will explain the practice of So-Young's data platform, data warehouse, and upper-layer data application based on Alibaba Cloud in four aspects.
This article mainly discusses the semi-structured processing capability of MaxCompute.
This article explains how to accelerate data science with distributed Python on the cloud.
This article describes how to use MaxCompute to add tags to a large number of people and carry out analysis and modeling through Hologres.
This article explains the core ideas and design of DAG.
This article explains how to write real-time streaming data based on BinLog, Flink, and Spark Streaming into MaxCompute.
This article explains how to use PAI + MaxCompute to complete the AARRR link of the user growth model, including acquisition, activation, retention, revenue, and referral.