蔚来数据开发工程师

ETL—meaning extract, transform, load—is a data integration process that combines, cleans and organizes data from multiple sources into a single, consistent data set for storage in a data warehouse, data lake or other target system.

It explains what ETL is and what it can do for you to improve your data analysis and productivity.

什么是SQL？简单地说，SQL就是访问和处理关系数据库的计算机标准语言。

Learn SQL with simple, interactive exercises.

In this video we will cover everything you need to know about SQL in only 60 minutes.

The Go App Optimization Guide is a series of in-depth, technical articles for developers who want to get more performance out of their Go code without relying on guesswork or cargo cult patterns.

This course is designed for those new to web performance, a vital aspect of the user experience.

Application performance is not just a simple concern for most organizations; it’s a critical factor in their business’s success.

Performance tuning is an experimental science, but that doesn’t mean engineers should resort to guesswork and folklore to get the job done.

Apache Spark 是用于大规模数据处理的统一分析引擎。

This new edition has been updated to reflect Apache Spark’s evolution through Spark 2.x and Spark 3.0, including its expanded ecosystem of built-in and external data sources, machine learning, and streaming technologies with which Spark is tightly integrated.

Apache Flink 是一个分布式计算框架，它能够对有界和无界的数据流进行高效的处理。

This training presents an introduction to Apache Flink that includes just enough to get you started writing scalable streaming ETL, analytics, and event-driven applications, while leaving out a lot of (ultimately important) details.

Today’s businesses are increasingly software-defined, and their business processes are being automated. Whether it’s orders and shipments, or downloads and clicks, business events can always be streamed. Flink can be used to manipulate, process, and react to these streaming events as they occur.

Hadoop 为庞大的计算机集群提供可靠的、可伸缩的应用层计算和存储支持，它允许使用简单的编程模型跨计算机群集分布式处理大型数据集，并且支持在单台计算机到几千台计算机之间进行扩展。

Hadoop is an open-source framework that allows to store and process big data in a distributed environment across clusters of computers using simple programming models.

HBase is a data model that is similar to Google's big table designed to provide quick random access to huge amounts of structured data. This tutorial provides an introduction to HBase, the procedures to set up HBase on Hadoop File Systems, and ways to interact with HBase shell.

In this Apache Kafka fundamentals course, we introduce you to the basic Apache Kafka elements and APIs, as well as the broader Kafka ecosystem.

Learn about Elasticsearch with this comprehensive course designed for beginners, featuring both theoretical concepts and hands-on applications using Python (though applicable to any programming language). The course is structured in two parts: first covering essential Elasticsearch fundamentals including index management, document storage, text analysis, pipeline creation, search functionality, and advanced features like semantic search and embeddings; followed by a practical section where you'll build a real-world website using Elasticsearch as a search engine, working with the Astronomy Picture of the Day (APOD) dataset to implement features such as data cleaning pipelines, tokenization, pagination, and aggregations.

Get all the tutorials, learning paths, and more you need to start building—fast.

REmote DIctionary Server(Redis) 是一个由 Salvatore Sanfilippo 写的 key-value 存储系统，是跨平台的非关系型数据库。

In this video I will be covering Redis in depth from how to install it, what commands you can use, all the way to how to use it in a real world project.

大数据处理的主要流程包括数据收集、数据存储、数据处理、数据应用等主要环节。

With all this talk of Big Data, we got Rebecca Tickle to explain just what makes data into Big Data.

Learn how to ingest and query data in ClickHouse using the New York City taxi example dataset.

ClickHouse is an open-source column-oriented DBMS for online analytical processing that allows users to generate analytical reports using SQL queries in real-time.

These Quick Start guides will help you get going with a small StarRocks environment.

Recently, I had the opportunity to explore StarRocks which is the new kid in the block when talking about massive scale databases which are able to handle petabytes of data.

OLAP (for online analytical processing) is software for performing multidimensional analysis at high speeds on large volumes of data from a data warehouse, data mart, or some other unified, centralized data store.

This guide will get you up and running with Apache Iceberg™ using Apache Spark™, including sample code to highlight some powerful features.

This tutorial will discuss Apache Iceberg, a popular open table format in today’s big data landscape.

You’ve probably heard about Apache Iceberg™—after all, it’s been getting a lot of buzz.

we will walk through code snippets that allows you to insert, update, delete and query a Hudi table.

Overcome challenges in building transactional guarantees on rapidly changing data by using Apache Hudi.

In this video, I'll introduce you to one of the most popular Data Lake solutions out there, Apache Hudi!

以项目为主线，知识点孕育其中，通过边学、边做、边引导来得到更好的学习效果

Step by step guide to becoming an Data Analyst in 2025