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Batch computing

Flink ML API: The Algorithmic Interface and Iterative Engine Designed for Real-Time Machine Learning

This article explains Flink ML API, its construction, and its use cases.

Adaptive Batch Scheduler Automatically Decide Parallelism of Flink Batch Jobs

We introduce Apache Flink's adaptive batch scheduler and detail how it can automatically decide parallelism of Flink batch jobs.

Principle Analysis of Apache Flink CDC Batch and Stream Integration

This article focuses on the processing logic of Flink CDC.

Flink Practices in iQiyi's Advertising Business

This article explains thoroughly how iQiyi (a Chinese online video platform) utilizes Apache Flink.

Flink 1.11: An Engine with Unified SQL Support for Batch and Streaming Data

This article introduces the enhanced capabilities of Flink 1.11 to support SQL to process batch and streaming data

A Deep Dive into Apache Flink 1.11: Stream-Batch Integrated Hive Data Warehouse

Li Jinsong and Li Rui, Alibaba Technical Experts, talk about the features, revisions, and improvements of Apache Flink 1.11.

A Big Data-Based Public Opinion Analysis System: Architecture Anatomy

This article, as part one of a two part series, describes the architecture behind mainstream big data models and looks at the architecture behind the public opinion analysis system.

Fault Tolerance with Application High Availability or Batch Compute

We will talk about two seemingly opposing ideas – high availability and batch computing – can be integrated into a single solution using Alibaba Cloud's services.

Creating Custom Environments for Batch Services

In this article, we will not explore how to create jobs rather we will take a look at how we can customize the underlying infrastructure as needed or required by our software packages.