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Alibaba EMR

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EMR is an all-in-one enterprise-ready big data platform that provides cluster, job, and data management services based on open-source ecosystems, such as Hadoop, Spark, Kafka, Flink, and Storm.

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Databricks Data Insight Open Course - An Introduction to Delta Lake (Open-Source Edition)

This part of the Databricks Data Insight Open Course article series introduces Delta Lake Basics (Open-Source Edition).

Databricks Data Insight Open Course - An Introduction to Delta Lake (Commercial Edition)

This part of the Databricks Data Insight Open Course article series introduces Delta Lake Basics (Commercial Edition).

Databricks Data Insight Open Course - How to Use Delta Lake to Build a Batch-Stream Unified Data Warehouse

This article discusses using Delta Lake to build a batch-stream unified data warehouse and putting it into practice.

Databricks Data Insight Open Course - An Evolution History and Current Situation of Delta Lake

This part of the Databricks Data Insight Open Course article series discusses the evolution history of Delta Lake and its current situation.

Data Lake Exploration – Delta Lake

This article explores Delta Lake and discusses the implementation of two solutions related to traditional data warehouses based on Hive tables.

New Features of Alibaba Cloud Remote Shuffle Service: AQE and Throttling

This article introduces the latest two important features of RSS: support for Adaptive Query Execution (AQE) and throttling.

The Principles of EMR StarRocks' Blazing-Fast Data Lake Analytics

This article focuses on the technology, performance, and future planning of StarRocks' blazing-fast data lake analytics.

The Spark and Delta Lake Engine Enterprise Edition of Databricks Helps Efficiently Access Lake Houses

This article describes how to optimize the performance of the product features provided by the Enterprise Edition to help you efficiently access lake houses.

Zuoyebang's Best Practices for Building Data Lakes Based on Delta Lake

This article aims to solve the performance problems of offline data warehouses (daily and hourly) during production and usage.

How to Build a Blazing-Fast Data Lake Analytics Engine

This article reveals the key technologies of the data lake analytics engine in detail and uses StarRocks to help users understand the architecture of the system.

How to Build a Cloud-Native Open-Source Big Data Platform | The Application Practice of Weimiao

This article shares the application practice of Weimiao based on the big data ecosystem of Alibaba Cloud.

Source Code Analysis of ClickHouse Keeper

This article analyzes the source code of the open-source version of ClickHouse v21.8.10.19-lts.

How to Build a Cloud-Native Open-Source Big Data Platform | Best Practices of InMobi

This article shares the best practices of InMobi based on the open-source big data service of Alibaba Cloud.

The Open-Source Real-Time Data Warehouse Solution Based on EMR OLAP - ClickHouse Transaction Implementation

This article describes the solution of an open-source real-time data warehouse based on EMR OLAP.

Best Practices for Flink on Zeppelin Stream Computing Processing

This article is an overview of the best practices for Flink on Zeppelin stream computing processing taken from a recent lecture.

Best Practices for Big Data Processing in Spark

This article is an overview of the best practices for big data processing in Spark taken from a lecture.

DLF + DDI Best Practices for One-Stop Data Lake Formation and Analysis

This article aims to give readers a deeper understanding of Alibaba Cloud Data Lake Formation (DLF) and Databricks DataInsight (DDI).

Alibaba Big Data Practices on Cloud-Native – EMR Spark on ACK

This article discusses the practices and challenges of EMR Spark on Alibaba Cloud Kubernetes.

Application of Delta Lake in Soul

This article explains the background of Delta Lake along with practices, problems, and solutions.

Alibaba Cloud JindoFS Handles Stress Testing Easily with More Than One Billion Files

This article reviews JindoFS stress testing, featuring multiple scenarios and graphs.

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5260485642767126 Commented on Using Data Preorganization for Faster Queries in Spark on EMR

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