This article discusses data lakehouse edition, AnalyticDB for MySQL, and cost reduction and efficiency enhancement.
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 AnalyticDB for MySQL Data Lakehouse Edition, its architecture, and its advantages.
This article provides deep insights into the data lake concept and compares some common solutions available in the market.
This article discusses how data lakes can offer cost savings and the future possibilities of data lake architecture.
This article analyzes the technical principles of the Hologres high-performance analytics engine to accelerate the query of Cloud Data Lake Formation (DLF).
This article discusses MaxCompute's architecture, ecosystem, subproducts, and security capabilities.
This article discusses the overall updates to Lakehouse architecture.
This part of the Databricks Data Insight Open Course article series introduces Delta Lake Basics (Open-Source Edition).
This part of the Databricks Data Insight Open Course article series introduces Delta Lake Basics (Commercial Edition).
This article discusses using Delta Lake to build a batch-stream unified data warehouse and putting it into practice.
This part of the Databricks Data Insight Open Course article series discusses the evolution history of Delta Lake and its current situation.
This article discusses the basics of Apache Hudi, Flink Hudi integration, and use cases.
This short article discusses the benefits of Alibaba Cloud Data Lake Analytics (DLA).
This short article discusses the definition and benefits of data lakes and the Alibaba Cloud Data Lake solution.
This article explores Delta Lake and discusses the implementation of two solutions related to traditional data warehouses based on Hive tables.
This article focuses on the technology, performance, and future planning of StarRocks' blazing-fast data lake analytics.
This article describes how to optimize the performance of the product features provided by the Enterprise Edition to help you efficiently access lake houses.
This article aims to solve the performance problems of offline data warehouses (daily and hourly) during production and usage.
