This article explains how to deploy a data warehouse on Alibaba Cloud using AnalyticDB for MySQL service.
This article explains the four stages of lake house evolution within the Shanghai Shuhe Group.
This blog shows you how you can analyze your data stored in the cloud quickly, securely, and at low costs with Data Lake Analytics.
This article explains data lakes and how to build data lakes on Alibaba Cloud.
This article reviews Alibaba Cloud's enterprise-level cloud-native data lake solution launched during the double 11 festival and discusses its key benefits.
This article aims to give readers a deeper understanding of Alibaba Cloud Data Lake Formation (DLF) and Databricks DataInsight (DDI).
This article introduces the optimization and evolution of Flink Hudi's original mini-batch-based incremental computing model through stream computing.
This article explains the developmental stages of Alibaba’s data middle platform.
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 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 introduces Fluid, an open source Kubernetes-native distributed dataset orchestrator and accelerator for data-intensive applications, and talks about the advantages of JindoRuntime.
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 article provides an in depth introduction to the architecture, application, and best practices of real-time financial data lakes by Zhongyuan Bank.
This article discusses the challenges and limitations of various solutions in CDC data analysis and describes how to use Flink and Iceberg to overcome them.
This article introduces the establishment of a cloud-native data lake system based on Alibaba Cloud OSS, Data Lake Formation (DLF), and various computing engines present in Alibaba Cloud.
This article explains how to perform real-time CDC synchronization in a data lake using Alibaba Cloud's Data Lake Formation (DLF) service.
This article discusses the data lake offline data migration process using JindoDistCp and explains how it improves the migration performance in different scenarios.
This article explains Apache Hudi and Apache Flink and the benefits of implementation.
