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Alibaba Cloud MaxCompute

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Distributed Pandas Processing with MaxCompute MaxFrame

This article introduces how to use common Pandas operators with MaxFrame.

Introduction to MaxCompute's Unified Near Real-time Data Processing Architecture

This article introduces how the new offline near real-time integrated architecture based on MaxCompute supports comprehensive business scenarios.

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: 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.

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.

MaxCompute Unleashed - Part 13: Global Zorder

This article introduces the support of Global Z-Order in MaxCompute.

MaxCompute Unleashed - Part 12: PIVOT/UNPIVOT

This article introduces the new syntax supported by MaxCompute - PIVOT/UNPIVOT.

MaxCompute Unleashed - Part 11: QUALIFY Clause

Part 11 of the "Unleash the Power of MaxCompute" series introduces the features and use of QUALIFY Clause.

MaxCompute Unleashed - Part 10: IF ELSE Branch Statement

Part 10 of the "Unleash the Power of MaxCompute" series introduces the script mode and parameterized views of MaxCompute.

MaxCompute Unleashed - Part 9: Script Mode and Parameter View

Part 9 of the "Unleash the Power of MaxCompute" series introduces the script mode and parameterized views of MaxCompute.

MaxCompute Unleashed - Part 8: Dynamic Type Function

Part 9 of the "Unleash the Power of MaxCompute" series introduces the improvements made by MaxCompute to address the limitations of its self-defined functions.

MaxCompute Unleashed - Part 7: Grouping Set, Cube and Rollup

Part 7 of the "Unleash the Power of MaxCompute" series introduces MaxCompute's support for GROUPING SETS.

MaxCompute Unleashed - Part 6: User Defined Type

Part 6 of the "Unleash the Power of MaxCompute" series describes a new feature called User Defined Type (UDT).

MaxCompute Unleashed - Part 5: SELECT TRANSFORM

Part 5 of the "Unleash the Power of MaxCompute" series introduces the support of MaxCompute for other scripting languages - SELECT TRANSFORM.

MaxCompute Unleashed - Part 4: CTE, VALUES, SEMIJOIN

Part 4 of the "Unleash the Power of MaxCompute" series describes the improvements of MaxCompute in the SQL DML.

MaxCompute Unleashed - Part 3: Complex Type Functions

Part 3 of the “Unleash the Power of MaxCompute” series describes the complex type functions of MaxCompute.

MaxCompute Unleashed - Part 2: Basic Data Types and Built-in Functions

Part 2 of the “Unleash the Power of MaxCompute” series describes the basic data types and built-in functions of MaxCompute.

MaxCompute Unleashed - Part 1: Harnessing Compiler Errors and Warnings Effectively

Part 1 of the “Unleash the Power of MaxCompute” series describes the improvements of MaxCompute in usability.

Best Practices for the Artificial Intelligence Recommendation of Materialized Views in MaxCompute

This article introduces the materialized views of MaxCompute, including its features and use cases.

Latest Comments

Santhakumar Munuswamy Commented on Distributed Pandas Processing with MaxCompute MaxFrame

Thanks for the sharing

Dikky Ryan Pratama Commented on ProjectName Automatically Completed under ODPS SQL Development and Production Environment of DataWorks

awesome!

Raja_KT Commented on MaxCompute Tunnel Offline Batch Data Channel FAQs

Interesting recommendation ..."It mainly provides the uploading and downloading of large batches of offline data, and is only applicable to scenarios where each batch is greater than or equal to 64 MB of data." and the use of datahub.