data-engineering-interview-questions

data-engineering-interview-questions

2000多道数据工程面试题集 助力大数据职业发展

该项目收集整理了2000多个数据工程师面试问题,涵盖数据库、数据仓库、大数据框架、云服务等多个领域。除详细问题清单外,还提供各技术的官方链接和学习资源,为数据工程师备战面试和技能提升提供全面支持。

数据工程数据库大数据框架云服务ApacheGithub开源项目
<h1 align="center">准备数据工程师面试的2000多个问题。</h1> <h2 align="center"><a href="./content/full.md">问题完整列表</a></h2> <h1 align="center">数据工程师面试问题</h1> <div> <table> <tr> <tr> <th colspan="5">数据库和数据仓库</th> </tr> <tr> <th>GitHub仓库</th> <th>官方页面</th> <th>问题</th> <th>描述</th> <th>有用链接</th> </tr> <tr> <th><a href="https://github.com/apache/cassandra"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Cassandra"></a></th> <th><a href="https://cassandra.apache.org/_/index.html"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/cassandra.ico" alt="Cassandra"></a></th> <th><a href="./content/cassandra.md">Apache Cassandra</a></th> <th>Cassandra是一个分布式、宽列存储的NoSQL数据库管理系统。</th> <th><a href="https://github.com/Anant/awesome-cassandra">Awesome Cassandra</a></th> </tr> <tr> <th><a href="https://github.com/greenplum-db/gpdb"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Greenplum"></a></th> <th><a href="https://greenplum.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/greenplum.ico" alt="Greenplum"></a></th> <th><a href="./content/greenplum.md">Greenplum</a></th> <th>Greenplum是一个基于MPP架构和Postgres开源数据库技术的大数据技术。</th> <th><a href="https://github.com/kongyew/awesome-greenplum">Awesome Greenplum</a></th> </tr> <tr> <th><a href="https://github.com/mongodb/mongo"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="MongoDB"></a></th> <th><a href="https://www.mongodb.com/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/mongo.ico" alt="MongoDB"></a></th> <th><a href="./content/mongo.md">MongoDB</a></th> <th>MongoDB是一个面向文档的数据库。</th> <th><a href="https://github.com/ramnes/awesome-mongodb">Awesome MongoDB</a></th> </tr> <tr> <th><a href="https://github.com/apache/hbase"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Hbase"></a></th> <th><a href="https://hbase.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/hbase.ico" alt="Hbase"></a></th> <th><a href="./content/hbase.md">Apache Hbase</a></th> <th>HBase是一个开源的非关系型分布式数据库。</th> <th><a href="https://github.com/rayokota/awesome-hbase">Awesome HBase</a></th> </tr> <tr> <th><a href="https://github.com/apache/hive"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Hive"></a></th> <th><a href="https://hive.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/hive.ico" alt="Hive"></a></th> <th><a href="./content/hive.md">Apache Hive</a></th> <th>Apache Hive是一个建立在Apache Hadoop之上的数据仓库软件项目,用于提供数据查询和分析。</th> <th><a href="https://github.com/dharmeshkakadia/awesome-hive">Awesome Hive</a></th> </tr> <tr> <th colspan="2"><a href="https://aws.amazon.com/dynamodb/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/dynamodb.ico" alt="Amazon DynamoDB"></a></th> <th><a href="./content/dynamodb.md">Amazon DynamoDB</a></th> <th>Amazon DynamoDB是一个完全托管的专有NoSQL数据库服务。</th> <th><a href="https://github.com/alexdebrie/awesome-dynamodb">Awesome DynamoDB</a> <a href="https://github.com/donnemartin/awesome-aws">Awesome AWS</a></th> </tr> <tr> <th colspan="2"><a href="https://aws.amazon.com/redshift"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/redshift.ico" alt="Amazon Redshift"></a></th> <th><a href="./content/redshift.md">Amazon Redshift</a></th> <th>Amazon Redshift是一个数据仓库产品。</th> <th><a href="https://github.com/awslabs/amazon-redshift-utils">Amazon Redshift Utilities</a> <a href="https://github.com/donnemartin/awesome-aws">Awesome AWS</a></th> </tr> <tr> <th colspan="2"><a href="https://cloud.google.com/bigquery"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/bigquery.ico" alt="BigQuery"></a></th> <th><a href="./content/bigquery.md">BigQuery GCP</a></th> <th>BigQuery是一个全托管、无服务器的数据仓库。</th> <th><a href="https://github.com/coty/awesome-bigquery">Awesome BigQuery</a></th> </tr> <tr> <th colspan="2"><a href="https://cloud.google.com/bigtable"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/bigtable.ico" alt="Bigtable"></a></th> <th><a href="./content/bigtable.md">Bigtable GCP</a></th> <th>Bigtable是一个完全托管的宽列和键值NoSQL数据库服务。</th> <th><a href="https://github.com/zrosenbauer/awesome-bigtable">Awesome Bigtable</a></th> </tr> <th colspan="5"><a></a></th> <tr> <th colspan="5">数据格式</th> </tr> <tr> <th><a href="https://github.com/apache/avro"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Avro"></a></th> <th><a href="https://avro.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/avro.ico" alt="Avro"></a></th> <th><a href="./content/avro.md">Apache Avro</a></th> <th>Avro是一个面向行的远程过程调用和数据序列化框架。</th> <th><a href="https://github.com/m0nhawk/awesome-avro">Awesome Avro</a></th> </tr> <tr> <th><a href="https://github.com/apache/parquet"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Parquet"></a></th> <th><a href="https://parquet.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/parquet.ico" alt="Parquet"></a></th> <th><a href="./content/parquet.md">Apache Parquet</a></th> <th>Apache Parquet是一种为高效数据存储和检索而设计的面向列的数据文件格式。</th> <th><a href="TODO">TODO</a></th> </tr> <tr> <th><a href="https://github.com/delta-io"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Delta"></a></th> <th><a href="https://delta.io/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/deltalake.ico" alt="Delta"></a></th> <th><a href="./content/delta.md">Delta</a></th> <th>Delta Lake是一个存储框架,可以使用计算引擎构建Lakehouse架构</th> <th><a href="https://github.com/MrPowers/delta-examples">Delta examples</a></th> </tr> <th colspan="5"><a></a></th> <tr> <th colspan="5">大数据框架</th> </tr> <tr> <th><a href="https://github.com/apache/airflow"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Airflow"></a></th> <th><a href="https://airflow.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/airflow.ico" alt="Airflow"></a></th> <th><a href="./content/airflow.md">Apache Airflow</a></th> <th>Apache Airflow是一个用于数据工程管道的工作流管理平台。</th> <th><a href="https://github.com/jghoman/awesome-apache-airflow">Awesome Airflow</a></th> </tr> <tr> <th><a href="https://github.com/apache/flume"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Flume"></a></th> <th><a href="https://flume.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/flume.ico" alt="Flume"></a></th> <th><a href="./content/flume.md">Apache Flume</a></th> <th>Apache Flume是一个分布式、可靠且可用的软件,用于高效收集、聚合和移动大量日志数据。</th> <th><a href="TODO">TODO</a></th> </tr> <tr> <th><a href="https://github.com/apache/hadoop"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Hadoop"></a></th> <th><a href="https://hadoop.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/hadoop.ico" alt="Hadoop"></a></th> <th><a href="./content/hadoop.md">Apache Hadoop</a></th> <th>Apache Hadoop是一个软件工具集合,可以利用多台计算机的网络来解决涉及海量数据和计算的问题。</th> <th><a href="https://github.com/youngwookim/awesome-hadoop">Awesome Hadoop</a></th> </tr> <tr> <th><a href="https://github.com/apache/impala"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Impala"></a></th> <th><a href="https://impala.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/impala.ico" alt="Impala"></a></th> <th><a href="./content/impala.md">Apache Impala</a></th> <th>Apache Impala是一个用于查询存储在运行Apache Hadoop的计算机集群中数据的并行处理SQL查询引擎。</th> <th><a href="TODO">待办</a></th> </tr> <tr> <th><a href="https://github.com/apache/kafka"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Kafka"></a></th> <th><a href="https://kafka.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/kafka.ico" alt="Kafka"></a></th> <th><a href="./content/kafka.md">Apache Kafka</a></th> <th>Apache Kafka是一个分布式事件存储和流处理平台。</th> <th><a href="https://github.com/semantalytics/awesome-kafka">优秀的Kafka资源</a></th> </tr> <tr> <th><a href="https://github.com/apache/nifi"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="NiFi"></a></th> <th><a href="https://nifi.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/nifi.ico" alt="NiFi"></a></th> <th><a href="./content/nifi.md">Apache NiFi</a></th> <th>Apache NiFi是一个旨在自动化软件系统之间数据流的软件项目。</th> <th><a href="https://github.com/jfrazee/awesome-nifi">优秀的NiFi资源</a></th> </tr> <tr> <th><a href="https://github.com/apache/spark"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Spark"></a></th> <th><a href="https://spark.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/spark.ico" alt="Spark"></a></th> <th><a href="./content/spark.md">Apache Spark</a></th> <th>Apache Spark是用于大规模数据处理的统一分析引擎。</th> <th><a href="https://github.com/awesome-spark/awesome-spark">优秀的Spark资源</a></th> </tr> <tr> <th><a href="https://github.com/apache/flink"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Flink"></a></th> <th><a href="https://flink.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/flink.ico" alt="Flink"></a></th> <th><a href="./content/flink.md">Apache Flink</a></th> <th>Apache Flink是统一的流处理和批处理框架。</th> <th><a href="https://github.com/wuchong/awesome-flink">优秀的Flink资源</a></th> </tr> <tr> <th><a href="https://github.com/kubernetes/kubernetes"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Kubernetes"></a></th> <th><a href="https://kubernetes.io/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/kuber.ico" alt="Kubernetes"></a></th> <th><a href="./content/kubernetes.md">Kubernetes</a></th> <th>Kubernetes是一个用于在多个主机上管理容器化应用程序的系统。</th> <th><a href="https://github.com/ramitsurana/awesome-kubernetes">优秀的Kubernetes资源</a></th> </tr> <th colspan="5"><a></a></th> <tr> <th colspan="5">云服务提供商</th> </tr> <tr> <th><a href="https://github.com/aws"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="AWS"></a></th> <th><a href="https://aws.amazon.com/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/aws.ico" alt="AWS"></a></th> <th><a href="./content/aws.md">亚马逊网络服务</a></th> <th>亚马逊网络服务是一个提供可扩展和经济高效的云计算解决方案的在线平台。</th> <th><a href="https://github.com/donnemartin/awesome-aws">优秀的AWS资源</a></th> </tr> <tr> <th><a href="https://github.com/Azure"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Azure"></a></th> <th><a href="https://azure.microsoft.com/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/azure.ico" alt="Azure"></a></th> <th><a href="./content/azure.md">微软Azure</a></th> <th>微软Azure是微软的公共云计算平台。</th> <th><a href="https://github.com/kristofferandreasen/awesome-azure">优秀的Azure资源</a></th> </tr> <tr> <th><a href="https://github.com/GoogleCloudPlatform"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="GCP"></a></th> <th><a href="https://cloud.google.com/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/gcp.ico" alt="GCP"></a></th> <th><a href="./content/gcp.md">谷歌云平台</a></th> <th>谷歌云平台是一套云计算服务。</th> <th><a href="https://github.com/GoogleCloudPlatform/awesome-google-cloud">优秀的GCP资源</a></th> </tr> <th colspan="5"><a></a></th> <tr> <th colspan="5"><b>理论</b></th> </tr> <tr> <th colspan="2"><a href="./content/dwha.md"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/dwha.ico" alt="DWHA"></a></th> <th><a href="./content/dwha.md">数据仓库架构</a></th> <th>数据仓库架构是一种定义企业内部最终客户计算的数据通信处理和展示的整体架构的方法。</th> <th><a href="https://github.com/numetriclabz/awesome-db">优秀的数据库资源</a></th> </tr> <tr> <th colspan="2"><a href="./content/data-structure.md"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/datastruct.ico" alt="Airflow"></a></th> <th><a href="./content/data-structure.md">数据结构</a></th> <th>数据结构是一种用于组织、处理、检索和存储数据的专门格式。</th> <th><a href="TODO">待办</a></th> </tr> <tr> <th colspan="2"><a href="./content/sql.md"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/sql.ico" alt="SQL"></a></th> <th><a href="./content/sql.md">SQL</a></th> <th>SQL是一种在编程中使用的领域特定语言,设计用于管理关系数据库管理系统(RDBMS)中保存的数据。</th> <th><a href="https://github.com/danhuss/awesome-sql">优秀的SQL资源</a></th> </tr> <th colspan="5"><a></a></th> <tr> <th colspan="5">数据可视化工具/商业智能</th> </tr> <tr> <th colspan="2"><a href="./content/tableau.md"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/tableau.ico" alt="Tableau"></a></th> <th><a href="./content/tableau.md">Tableau</a></th> <th>Tableau是商业智能中使用的强大数据可视化工具。</th> <th><a href="TODO">待办</a></th> </tr> <th colspan="2"><a href="./content/looker.md"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/looker.ico" alt="Looker"></a></th> <th><a href="./content/looker.md">Looker</a></th> <th>Looker是一个用于商业智能、数据应用和嵌入式分析的企业平台,帮助您实时探索和共享见解。</th> <th><a href="TODO">待办</a></th> </tr> <tr> <th><a href="https://github.com/apache/superset"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/github.ico" alt="Kafka"></a></th> <th colspan="2"><a href="https://superset.apache.org/"><img style="vertical-align:middle" src="https://raw.githubusercontent.com/OBenner/data-engineering-interview-questions/master/img/icon/superset.ico" alt="Apache Superset"></a></th> <th><a href="./content/superset.md">Apache Superset</a></th> <th>Superset是一个现代化的数据探索和数据可视化平台</th> <th><a href="TODO">待办</a></th> </tr> </table> </div> <div> <h2 align="center">贡献</h2> <h3>请为这个仓库做出贡献,以使其变得更好。任何变更,如新问题、代码改进、文档改进等都非常欢迎。</h3> </div>

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咔片是一款轻量化在线演示设计工具,借助 AI 技术,实现从内容生成到智能设计的一站式 PPT 制作服务。支持多种文档格式导入生成 PPT,提供海量模板、智能美化、素材替换等功能,适用于销售、教师、学生等各类人群,能高效制作出高品质 PPT,满足不同场景演示需求。

讯飞绘文

讯飞绘文

选题、配图、成文,一站式创作,让内容运营更高效

讯飞绘文,一个AI集成平台,支持写作、选题、配图、排版和发布。高效生成适用于各类媒体的定制内容,加速品牌传播,提升内容营销效果。

热门AI辅助写作AI工具讯飞绘文内容运营AI创作个性化文章多平台分发AI助手
材料星

材料星

专业的AI公文写作平台,公文写作神器

AI 材料星,专业的 AI 公文写作辅助平台,为体制内工作人员提供高效的公文写作解决方案。拥有海量公文文库、9 大核心 AI 功能,支持 30 + 文稿类型生成,助力快速完成领导讲话、工作总结、述职报告等材料,提升办公效率,是体制打工人的得力写作神器。

openai-agents-python

openai-agents-python

OpenAI Agents SDK,助力开发者便捷使用 OpenAI 相关功能。

openai-agents-python 是 OpenAI 推出的一款强大 Python SDK,它为开发者提供了与 OpenAI 模型交互的高效工具,支持工具调用、结果处理、追踪等功能,涵盖多种应用场景,如研究助手、财务研究等,能显著提升开发效率,让开发者更轻松地利用 OpenAI 的技术优势。

Hunyuan3D-2

Hunyuan3D-2

高分辨率纹理 3D 资产生成

Hunyuan3D-2 是腾讯开发的用于 3D 资产生成的强大工具,支持从文本描述、单张图片或多视角图片生成 3D 模型,具备快速形状生成能力,可生成带纹理的高质量 3D 模型,适用于多个领域,为 3D 创作提供了高效解决方案。

3FS

3FS

一个具备存储、管理和客户端操作等多种功能的分布式文件系统相关项目。

3FS 是一个功能强大的分布式文件系统项目,涵盖了存储引擎、元数据管理、客户端工具等多个模块。它支持多种文件操作,如创建文件和目录、设置布局等,同时具备高效的事件循环、节点选择和协程池管理等特性。适用于需要大规模数据存储和管理的场景,能够提高系统的性能和可靠性,是分布式存储领域的优质解决方案。

TRELLIS

TRELLIS

用于可扩展和多功能 3D 生成的结构化 3D 潜在表示

TRELLIS 是一个专注于 3D 生成的项目,它利用结构化 3D 潜在表示技术,实现了可扩展且多功能的 3D 生成。项目提供了多种 3D 生成的方法和工具,包括文本到 3D、图像到 3D 等,并且支持多种输出格式,如 3D 高斯、辐射场和网格等。通过 TRELLIS,用户可以根据文本描述或图像输入快速生成高质量的 3D 资产,适用于游戏开发、动画制作、虚拟现实等多个领域。

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