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Data Lake

The Principles of EMR StarRocks' Blazing-Fast Data Lake Analytics

This article focuses on the technology, performance, and future planning of StarRocks' blazing-fast data lake analytics.

The Spark and Delta Lake Engine Enterprise Edition of Databricks Helps Efficiently Access Lake Houses

This article describes how to optimize the performance of the product features provided by the Enterprise Edition to help you efficiently access lake houses.

Zuoyebang's Best Practices for Building Data Lakes Based on Delta Lake

This article aims to solve the performance problems of offline data warehouses (daily and hourly) during production and usage.

How to Build a Blazing-Fast Data Lake Analytics Engine

This article reveals the key technologies of the data lake analytics engine in detail and uses StarRocks to help users understand the architecture of the system.

Yangqing Jia from Alibaba Cloud: Data Lake Is Becoming the Innovation Standard for Enterprise Data Application

This short article discusses the rise and future of data lakes as a standard practice.

Data Warehouse and Lake House: Continuous Evolution of the Cloud-Native Big Data Platform

This article explains the continuous evolution of data warehouses, featuring offline/real-time integration and lake house.

Deploying A Data Warehouse on Alibaba Cloud

This article explains how to deploy a data warehouse on Alibaba Cloud using AnalyticDB for MySQL service.

The Practice of Lake House in the FinTech Industry

This article explains the four stages of lake house evolution within the Shanghai Shuhe Group.

Introducing Data Lake Analytics for Fintechs

This blog shows you how you can analyze your data stored in the cloud quickly, securely, and at low costs with Data Lake Analytics.

Building Your Data Lake on Alibaba Cloud

This article explains data lakes and how to build data lakes on Alibaba Cloud.

Alibaba Cloud Launches Enterprise-Level Cloud-Native Data Lake during 2020 Double 11

This article reviews Alibaba Cloud's enterprise-level cloud-native data lake solution launched during the double 11 festival and discusses its key benefits.

DLF + DDI Best Practices for One-Stop Data Lake Formation and Analysis

This article aims to give readers a deeper understanding of Alibaba Cloud Data Lake Formation (DLF) and Databricks DataInsight (DDI).

Use Flink Hudi to Build a Streaming Data Lake

This article introduces the optimization and evolution of Flink Hudi's original mini-batch-based incremental computing model through stream computing.

The Intelligent Evolution of the Data Middle Platform – 12 Years of Development from Alibaba's Data Platform

This article explains the developmental stages of Alibaba’s data middle platform.

How ADB for PG Provide Data Analysis for Lake-Warehouse Integration

This article describes how to use ApsaraDB for PostgreSQL to achieve data lake analysis based on the foreign table object type of PostgreSQL.

Construction, Analysis, and Development Governance of a Cloud-Native Data Lake

This article introduces the best practices and cases for building, analyzing, developing, and governing cloud-native data lakes.

Quick Implementation of Data Lake House Based on MaxCompute

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

Continuous Evolution and Development of Data Warehouse Architecture – Cloud Native, Lake house, Offline-Realtime Unification and SaaS Mode

Fluid with JindoFS: An Acceleration Tool for Alibaba Cloud OSS

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.

StarLake: Exploration and Practice of Mobvista in Cloud-Native Data Lake

This article introduces the exploration and practice of Mobvista in the field of cloud-native data lakes, as well as the architecture of StarLake.