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Data Lake

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

Application of Apache Flink in Real-time Financial Data Lake

This article provides an in depth introduction to the architecture, application, and best practices of real-time financial data lakes by Zhongyuan Bank.

Build a Real-time Cloud Data Lake Based on Alibaba Cloud DLA and Apache Hudi

This article describes how to build a real-time data lake in the cloud based on Alibaba Cloud's Data Lake Analytics (DLA) and Apache Hudi

Use Data Lake Analytics (DLA) to Analyze Data in MaxCompute External Tables

This article describes how to use Alibaba Cloud DLA's function to analyze data in MaxCompute external tables.

Performing Daily Incremental Upload from OSS to MaxCompute Using Data Integration

This tutorial describes how we can easily import data from OSS into MaxCompute on a daily basis with Data Integration.

Data Lake Acceleration in Data Lake Architecture

This article introduces the reasons for choosing data lake acceleration, and shares Alibaba Cloud's practical experience and technical solutions.

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 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.

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.

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.

How to Build Customer Segmentation Phase I: Data Preparation

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

Building End-to-End Customer Segmentation Solution Alibaba Cloud

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

Why Visualized Data Analysis Is Something You Should Have in Your Toolkit

In this post, a senior product manager at Alibaba shares thoughts on some data visualization tools and discusses how you can make effective charts.

Using Data Lake Analytics to Analyze Data in Table Store Instances

In this article, we will learn how to analyze data stored in Alibaba Cloud Table Store with the newly launched Data Lake Analytics (DLA) service.