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Cloud-Native Technology on the Core System of Double 11 for Higher Efficiency and Lower Costs

This article gives a short overview of how cloud computing helped with some of the achievements during the 2020 Double 11 Global Shopping Festival.

The Discovery of a Promising Technology

In this article, Zhang Jianfeng, a veteran in the open-source community, explains how to evaluate whether the technology is worth learning using three key dimensions.

Alibaba Cloud LakeHouse: An Industry-Leading Next-Generation Big Data Platform of Alibaba Cloud to Integrate Data Warehouses and Data Lakes

The article gives an overview of the release of Alibaba Cloud LakeHouse, talks about its benefits, and how it accelerates the digital restructuring of enterprises.

So How Did Flink Double Its GitHub Stars in Just One Year?

Read on to see exactly what happened to Flink in 2019, in particular how Alibaba has contributed to Flink.

Architecture Evolution and Application Scenarios of Real-time Warehouses in the Cainiao Supply Chain

In this blog, we'll discuss the evolution of Cainiao's Flink implementation solution and supply chain data in terms of real-time data technology architecture.

OPPO's Use of Flink-based Real-time Data Warehouses

This article covers the evolution of the OPPO real-time data warehouse and development of Flink SQL.

Netflix: Evolving Keystone to an Open Collaborative Real-time ETL Platform

This article briefly introduces Netflix's data platform team and its key product, Keystone.

Architecture Evolution and Practices of the Xiaomi Streaming Platform

This article discusses how Xiaomi leverages Apache Flink to build its streaming platform.

Meituan-Dianping's Use of Flink-based Real-time Data Warehouse Platforms

In this article, Lu Hao of Meituan-Dianping shares the company's practices using the Flink-based real-time data warehouse platform.

Architecture and Practices of Bilibili's Real-time Platform

This article introduces the architecture and practices of the Bilibili's Saber real-time computing platform by considering the pain points of real-time computing.

Trillions of Bytes of Data Per Day! Application and Evolution of Apache Flink in Kuaishou

This article introduces the technical evolution of Apache Flink during its application in Kuaishou and Kuaishou's future plans regarding Apache Flink.

Lyft's Large-scale Flink-based Near Real-time Data Analytics Platform

This blog shares how Lyft built a large-scale near real-time data analytics platform based on Apache Flink.

Membuat Solusi Segmentasi Pelanggan dengan Alibaba Cloud

Pelajari cara menerapkan teknik pembelajaran mesin tanpa pengawasan untuk membuat segmentasi pelanggan pada set data ritel.

Cara Membangun Segmentasi Konsument Fase I: Persiapan Data

Pelajari cara menerapkan teknik pembelajaran mesin tanpa pengawasan untuk membuat segmentasi pelanggan pada set data ritel.

Cara Membangun Segmentasi Konsument Fase II: Pembuatan Model

Pelajari cara menerapkan teknik pembelajaran mesin tanpa pengawasan untuk membuat segmentasi pelanggan pada set data ritel.

Cara Membangun Segmentasi Konsument Fase III: Penyajian Model

Pelajari cara menerapkan teknik pembelajaran mesin tanpa pengawasan untuk membuat segmentasi pelanggan pada set data ritel.

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.

Alibaba Core Scheduling System Job Scheduler 2.0 - Meeting Big Data and Cloud Computing Scheduling Challenges

This article describes the progress Job Scheduler has made in different sectors and introduces Job Scheduler 2.

How to Build Customer Segmentation Phase II: Model Training

Learn how to applying unsupervised machine learning techniques to make customer segmentation on the retail dataset.

How to Build Customer Segmentation Phase III: Model Serving

Learn how to applying unsupervised machine learning techniques to make customer segmentation on the retail dataset.