Part 23 of this series explains why Offline data warehouses based on Hive and real-time data warehouses based on Kafka + Flink make it easy to distribute data warehouses.
This article describes how Generative AI can be utilized along with Common Data Engineering terms such as Data Lake, ETL Pipeline, Data Lineage, Data Warehouse and Data Visualization.
This article explains the developmental stages of Alibaba’s data middle platform.
In this tutorial, we will introduce a demo on EasyDispatch, Multi-language model and AnalyticDB for PostgreSQL vector database.
In this tutorial, we will introduce AnalyticDB with its vector engine to support companies to build up their own generative AI project.
This article explores the practice of stream-batch integrated Flink SQL based on data lakes and explores the expression consistency, result consistenc...
Organizations need to invest in appropriate data models to draw insights from them. This article gives an overview of data modeling methods and introduces Alibaba Cloud’s Big Data modeling practices.
This article introduces how AnalyticDB for PostgreSQL implements an all-in-one full-text search business and elaborates on its dominant technology.
This article discusses several facets of real-time data warehouses, including characteristics, benefits, and building them.
This article explains how to help enterprises upgrade to a more agile analytics platform architecture using Serverless OLAP, simplifying architecture complexity and improving analysis efficiency.
Apache Flink, a leading stream processing standard, has released version 1.17.0, which includes new features and improvements.
The Apache Flink community has released version 0.3.0 of the Flink Table Store, which includes many new features and improvements.
This article was compiled from a speech from Qingwei Yang at the Alibaba Cloud Data Lake Technology Special Exchange Meeting on July 17, 2022.
This article was compiled from a speech from Xiong Jiashu at the Alibaba Cloud Data Lake Technology Special Exchange Meeting.
This article introduces the plan management function of AnalyticDB for PostgreSQL, as well as its implementation mechanism and best practices.
This article introduces the pause feature of AnalyticDB for PostgreSQL, as well as its implementation mechanism and best practice.
This article introduces the method of descriptive statistical analysis of data.
This short article discusses five reasons why data scientists and analytics professionals should be using MaxCompute.
This article discusses real-time data warehouse construction and offers examples of using Flink CDC and StarRocks for real-time links and data updates.
This article introduces AnalyticDB for MySQL Data Lakehouse Edition, its architecture, and its advantages.