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Data Management

Future-Proof Your Data with Alibaba Cloud Database Migration

This article introduces the benefits of database migration, including the reasons for migration, the complexity involved, and the advantages of choosi...

Alibaba Cloud Data Lake: The Smart Choice for Modern Data Management

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.

Fluid and Vineyard Team Up for Efficient Intermediate Data Management in Kubernetes

This article introduces how to use Fluid and Vineyard for efficient intermediate data management in Kubernetes.

Understanding Batch Processing vs Stream Processing: Key Differences and Applications

Explore the differences between Batch Processing vs Stream Processing and their applications in data management for better decision-making.

The Next Step of Flink CDC

This article is based on a keynote speech given by Jark Wu, head of Flink SQL and Flink CDC at Alibaba Cloud, during Flink Forward Asia 2023.

Flink CDC 3.0| A Next-generation Real-time Data Integration Framework

Flink CDC 3.0 is a cutting-edge framework for real-time data integration, offering an efficient, scalable CDC solution with Apache Flink.

Observability | Best Practices for Centralized Data Management of Multiple Prometheus Instances

This article introduces Prometheus and addresses the common challenge of achieving a global view with data scattered across different Prometheus instances.

What is Batch Processing ?

Batch processing is a method of handling data where transactions are collected over a period and processed together as a group, or batch.

Practical Use of MaxCompute Metadata: Data Permission Statistics

This article introduces how to conduct permission statistics by using metadata-related permission views.

Practical Use of MaxCompute Metadata: Job Accounting

This article mainly introduces MaxCompute's tenant-level Information Schema and focuses on job accounting through the TASKS_HISTORY view of metadata.

Practical Use of MaxCompute Metadata: Statistical Analysis of Project Information

This article mainly introduces MaxCompute's tenant-level Information Schema and focuses on using the CATALOGS view of metadata for project-related statistics.

Practical Use of MaxCompute Metadata: Data Download Audit

This article mainly introduces MaxCompute's tenant-level Information Schema and focuses on statistical analysis through the TUNNELS_HISTORY view of metadata.

Secure Marketing Data Management on Alibaba Cloud: Best Practices for Marketers

This post discusses secure marketing data management, emphasizing the importance of data security in marketing.

One-Stop Data Management & Data Serving Platform | Alibaba Cloud Developer Summit 2023 Recap

In this video, we will explore how Alibaba Cloud can help you address new business challenges and achieve one-stop data management.

Enhance Game Data Management with Alibaba Cloud's Cutting-Edge Database Solutions

This article explores the unparalleled database technologies provided by Alibaba Cloud, specifically designed to enhance scalability, reliability, and agility in the gaming industry.

Streamline Data Integration and Management with Alibaba Cloud's Unified Data Management Platform

This article provides an overview of the Alibaba Cloud Data Management Service (DMS) and its key features.

Unveil New Possibilities at the Alibaba Cloud Data Management Summit in Indonesia

Learn more about this exclusive opportunity to discover how Alibaba Cloud can help unleash the power of your data and speed up digital transformation.

Data Lifecycle Management - Automatic Table Partitioning & Cold Data Archiving

In this video, you will learn the definition of PolarDB for MySQL Data Lifecycle Management (DLM) and how to perform hot data partitioning and cold data archiving to OSS.

Storage Policies and Read/Write Optimization in JindoFS

This article describes common problems and optimization methods of data read/write in computing-storage separation scenarios, and introduces data cache acceleration with JindoFS.

Data Lake Management and Optimization

This article was compiled from a speech from Qingwei Yang at the Alibaba Cloud Data Lake Technology Special Exchange Meeting on July 17, 2022.