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Distributed Computing

JindoFS: Computing and Storage Separation for Cloud-native Big Data

In this blog, we'll introduce the origins of JindoFS and discuss the problems its

Integrating BI with SaaS-based Cloud Data Warehouses

This article, written by Haiqing, an Alibaba Cloud technical expert, introduces SaaS-based Cloud Data Warehouses integrated with business intelligence (BI).

Integrating Real-time Search with SaaS-based Cloud Data Warehouses

This article discusses the integration of Saas Cloud-based Data Warehouses and Real-time Search, as shared by Meng Shuo, product manager of MaxCompute.

Integrating AI with SaaS-based Cloud Data Warehouses

This article discusses SaaS-based cloud data warehouse, such as MaxCompute, and its integration with AI, by Meng Shuo, MaxCompute product manager.

Building a New Retail Data Mid-End Based on DataWorks

This article talks about how new retail enterprises can build a data mid-end based on DataWorks, from business model selection to architecture design.

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.

Wanwudezhi Gives Top Priority to Efficiency and Builds a Big Data Platform Based on DataWorks + MaxCompute + Hologres

Two top-level employees from Wanwudezhi give insight on business development and efficiency using several Alibaba Cloud products.

The Latest Features of DataWorks: How to Choose the Right Edition of DataWorks

In this blog post, we'll be sharing the latest features of DataWorks to help you select the most suitable DataWorks edition through various sample scenarios.

Basic Concepts and Intuitive Understanding of EPaxos

This article introduces the EPaxos algorithm in a simple and easy-to-understand way, suitable even for those with basic knowledge of Paxos or Raft algorithms.

Paxos, Raft, EPaxos: How Has Distributed Consensus Technology Evolved?

This article discusses the application of distributed consensus from a technical perspective and makes a comparative analysis across various areas.

The Value of MaxCompute: SaaS Cloud-based Data Warehouse

This post describes the core capabilities of MaxCompute and discusses its advantages through several use cases.

Data Lake: Concepts, Characteristics, Architecture, and Case Studies

This article provides deep insights into the data lake concept and compares some common solutions available in the market.

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.

Build a Cloud Data Lake Using E-MapReduce

This article is based on the enterprise data lake construction solution using E-MapReduce and customer best practices shared by Ziguan.

Alibaba Cloud PAI: New Features of Alibaba Cloud's Machine Learning Platform

This article discusses the newly introduced features and capabilities of Alibaba Cloud's machine learning platform, PAI.

Distributed Computing & DevOps: Ensuring a Perfect System

In this article, we are going to discuss the best practices for DevOps to succeed within a distributed environment.

Job Scheduler DAG 2.0: Building a More Dynamic and Flexible Distributed Computing Ecosystem

This article describes how the Alibaba Job Scheduler team upgraded the core scheduling and distributed execution system over the past two years to build DAG 2.

Data Security Best Practices for MaxCompute

This article describes the best practices based on the native and integrated security capabilities of MaxCompute and DataWorks in various scenarios.

The Secrets Behind the Optimized SQL Performance of EMR Spark

Lin Xuewei, a technical expert, gives an overview of the latest performance and efficiency optimizations that were made to TPC-DS Perf after its third submission.

Alibaba Cloud Summit - Making a Data Warehouse that Integrates Distributed, Elastic Computing, and Cloud Computing

Think about this…by 2020, there will be 40 ZB of data in the world. Can AnalyticDB transform into the ultimate form of a data warehouse?