Traditional streaming data pipelines often need to join many tables or streams on a primary key to create a wide view.
This article is compiled from the presentation by Xu Yu, an internet big data expert at vivo and Apache Paimon Committer, during the Flink Forward Asia 2024 Streaming Lakehouse session (Part One).
Alibaba Cloud Data Lake provides a robust, secure, and cost-effective solution for modern data management, addressing the limitations of traditional on-premises data lake systems.
Uncover the advancements from Apache Hive to Hudi and Iceberg in stream computing, as our expert navigates the transformative landscape of real-time data lakes.
This article introduces the integration of Paimon and Spark, specifically focusing on query optimization.
This article introduces the main features in the new version of Paimon that are supported by the Spark-based computing engine.
This article explores how AnalyticDB for MySQL uses Apache Hudi to ingest complete and incremental data from multiple CDC tables into data lakes.
This post discusses secure marketing data management, emphasizing the importance of data security in marketing.
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.
In this episode, we will introduce the idea of lakehouse and Alibaba Cloud Lakehouse of MaxCompute.
This article describes the challenges and solutions of SLS using APS to quickly enter the lake with Exactly-Once consistency.
This article explains the developmental stages of Alibaba’s data middle platform.
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.
