base on This is a repo with links to everything you'd ever want to learn about data engineering # The Data Engineering Handbook This repo has all the resources you need to become an amazing data engineer! ## Getting started If you are new to data engineering, start by following this [2024 breaking into data engineering roadmap](https://blog.dataengineer.io/p/the-2024-breaking-into-data-engineering) If you are here for the [6-week free YouTube boot camp](https://youtu.be/myhe0LXpCeo) you can check out - [introduction](bootcamp/introduction.md) - [software needed](bootcamp/software.md) For more applied learning: - Check out the [projects](projects.md) section for more hands-on examples! - Check out the [interviews](interviews.md) section for more advice on how to pass data engineering interviews! - Check out the [books](books.md) section for a list of high quality data engineering books - Check out the [communities](communities.md) section for a list of high quality data engineering communities to join - Check out the [newsletter](newsletters.md) section to learn via email ## Resources ### Great [list of over 25 books](books.md) Top 3 must read books are: - [Fundamentals of Data Engineering](https://www.amazon.com/Fundamentals-Data-Engineering-Robust-Systems/dp/1098108302/) - [Designing Data-Intensive Applications](https://www.amazon.com/Designing-Data-Intensive-Applications-Reliable-Maintainable/dp/1449373321/) - [Designing Machine Learning Systems](https://www.amazon.com/Designing-Machine-Learning-Systems-Production-Ready/dp/1098107969) ### Great [list of over 10 communities to join](communities.md): Top must-join communities for DE: - [DataExpert.io Community Discord](https://discord.gg/JGumAXncAK) - [Data Talks Club Slack](https://datatalks.club/slack) - [Data Engineer Things Community](https://www.dataengineerthings.org/aboutus/) Top must-join communities for ML: - [AdalFlow Discord](https://discord.com/invite/ezzszrRZvT) - [Chip Huyen MLOps Discord](https://discord.gg/dzh728c5t3) ### Companies: - Orchestration - [Mage](https://www.mage.ai) - [Astronomer](https://www.astronomer.io) - [Prefect](https://www.prefect.io) - [Dagster](https://www.dagster.io) - [Airflow](https://airflow.apache.org/) - [Kestra](https://kestra.io/) - [Shipyard](https://www.shipyardapp.com/) - [Hamilton](https://github.com/dagworks-inc/hamilton) - Data Lake / Cloud - [Tabular](https://www.tabular.io) - [Microsoft](https://www.microsoft.com) - [Databricks](https://www.databricks.com/company/about-us) - [Onehouse](https://www.onehouse.ai) - [Delta Lake](https://delta.io/) - Data Warehouse - [Snowflake](https://www.snowflake.com/en/) - [Firebolt](https://www.firebolt.io/) - [Databend](https://www.databend.com/) - Data Quality - [dbt](https://www.getdbt.com/) - [Metaplane](https://www.metaplane.dev/) - [Gable](https://www.gable.ai) - [Great Expectations](https://www.greatexpectations.io) - [Streamdal](https://streamdal.com) - [Coalesce](https://coalesce.io/) - [Soda](https://www.soda.io/) - [DQOps](https://dqops.com/) - [HEDDA.IO](https://hedda.io) - Education Companies - [DataExpert.io](https://www.dataexpert.io) - [LearnDataEngineering.com](https://www.learndataengineering.com) - [AlgoExpert](https://www.algoexpert.io) - [ByteByteGo](https://www.bytebytego.com) - Analytics / Visualization - [Preset](https://www.preset.io) - [Starburst](https://www.starburst.io) - [Metabase](https://www.metabase.com/) - [Looker Studio](https://lookerstudio.google.com/overview) - [Tableau](https://www.tableau.com/) - [Power BI](https://powerbi.microsoft.com/) - [Hex](https://hex.ai/) - [Apache Superset](https://superset.apache.org/) - [Evidence](https://evidence.dev) - [Redash](https://redash.io/) - [Lightdash](https://lightdash.com/) - Data Integration - [Cube](https://cube.dev) - [Fivetran](https://www.fivetran.com) - [Airbyte](https://airbyte.io) - [dlt](https://dlthub.com/) - [Sling](https://slingdata.io/) - [Meltano](https://meltano.com/) - Semantic Layers - [Cube](https://cube.dev) - [dbt Semantic Layer](https://www.getdbt.com/product/semantic-layer) - Modern OLAP - [Apache Druid](https://druid.apache.org/) - [ClickHouse](https://clickhouse.com/) - [Apache Pinot](https://pinot.apache.org/) - [Apache Kylin](https://kylin.apache.org/) - [DuckDB](https://duckdb.org/) - [QuestDB](https://questdb.io/) - [StarRocks](https://www.starrocks.io/) - LLM application library - [AdalFlow](https://github.com/SylphAI-Inc/AdalFlow) - [LangChain](https://github.com/langchain-ai/langchain) - [LlamaIndex](https://github.com/run-llama/llama_index) - Real-Time Data - [Aggregations.io](https://aggregations.io) - [Responsive](https://www.responsive.dev/) - [RisingWave](https://risingwave.com/) - [Striim](https://www.striim.com/) ### Data Engineering blogs of companies: - [Netflix](https://netflixtechblog.com/tagged/big-data) - [Uber](https://www.uber.com/blog/houston/data/?uclick_id=b2f43229-f3f4-4bae-bd5d-10a05db2f70c) - [Databricks](https://www.databricks.com/blog/category/engineering/data-engineering) - [Airbnb](https://medium.com/airbnb-engineering/data/home) - [Amazon AWS Blog](https://aws.amazon.com/blogs/big-data/) - [Microsoft Data Architecture Blogs](https://techcommunity.microsoft.com/t5/data-architecture-blog/bg-p/DataArchitectureBlog) - [Microsoft Fabric Blog](https://blog.fabric.microsoft.com/) - [Oracle](https://blogs.oracle.com/datawarehousing/) - [Meta](https://engineering.fb.com/category/data-infrastructure/) - [Onehouse](https://www.onehouse.ai/blog) ### Data Engineering Whitepapers: - [A Five-Layered Business Intelligence Architecture](https://ibimapublishing.com/articles/CIBIMA/2011/695619/695619.pdf) - [Lakehouse:A New Generation of Open Platforms that Unify Data Warehousing and Advanced Analytics](https://www.cidrdb.org/cidr2021/papers/cidr2021_paper17.pdf) - [Big Data Quality: A Data Quality Profiling Model](https://link.springer.com/chapter/10.1007/978-3-030-23381-5_5) - [The Data Lakehouse: Data Warehousing and More](https://arxiv.org/abs/2310.08697) - [Spark: Cluster Computing with Working Sets](https://dl.acm.org/doi/10.5555/1863103.1863113) - [The Google File System](https://research.google/pubs/the-google-file-system/) - [Building a Universal Data Lakehouse](https://www.onehouse.ai/whitepaper/onehouse-universal-data-lakehouse-whitepaper) - [XTable in Action: Seamless Interoperability in Data Lakes](https://arxiv.org/abs/2401.09621) - [MapReduce: Simplified Data Processing on Large Clusters](https://research.google/pubs/mapreduce-simplified-data-processing-on-large-clusters/) - [Tidy Data](https://vita.had.co.nz/papers/tidy-data.pdf) ### Social Media Accounts Here's the mostly comprehensive list of data engineering creators: **(You have to have at least 5k followers somewhere to be added!)** #### YouTube | Name | YouTube Channel | Follower Count | |----------------------------|---------------------------------------------------------------------------------------------------------|---------------:| | ByteByteGo | [ByteByteGo](https://www.youtube.com/c/ByteByteGo) | 1,000,000+ | | Zach Wilson | [Data with Zach](https://www.youtube.com/@eczachly_) | 150,000+ | | Shashank Mishra | [E-learning Bridge](https://www.youtube.com/@shashank_mishra) | 100,000+ | | Seattle Data Guy | [Seattle Data Guy](https://www.youtube.com/c/SeattleDataGuy) | 100,000+ | | TrendyTech | [TrendyTech](https://www.youtube.com/c/TrendytechInsights) | 100,000+ | | Darshil Parmar | [Darshil Parmar](https://www.youtube.com/@DarshilParmar) | 100,000+ | | Andreas Kretz | [Andreas Kretz](https://www.youtube.com/c/andreaskayy) | 100,000+ | | The Ravit Show | [The Ravit Show](https://youtube.com/@theravitshow) | 100,000+ | | Guy in a Cube | [Guy in a Cube](https://www.youtube.com/@GuyInACube) | 100,000+ | | Adam Marczak | [Adam Marczak](https://www.youtube.com/@AdamMarczakYT) | 100,000+ | | nullQueries | [nullQueries](https://www.youtube.com/@nullQueries) | 100,000+ | | TECHTFQ by Thoufiq | [TECHTFQ by Thoufiq](https://www.youtube.com/@techTFQ) | 100,000+ | | SQLBI | [SQLBI](https://www.youtube.com/@SQLBI) | 100,000+ | | Alex Freberg | [Alex The Analyst](https://www.youtube.com/@AlexTheAnalyst) | 100,000+ | | Ankur Ranjan | [Big Data Show](https://www.youtube.com/@TheBigDataShow) | 100,000+ | | Prashanth Kumar Pandey | [ScholarNest](https://www.youtube.com/@ScholarNest) | 77,000+ | | ITVersity | [ITVersity](https://www.youtube.com/@itversity) | 67,000+ | | Soumil Shah | [Soumil Shah](https://www.youtube.com/@SoumilShah) | 50,000 | | Azure Lib | [Azure Lib](https://www.youtube.com/@azurelib-academy) | 10,000+ | | Advancing Analytics | [Advancing Analytics](https://www.youtube.com/@AdvancingAnalytics) | 10,000+ | | Kahan Data Solutions | [Kahan Data Solutions](https://www.youtube.com/@KahanDataSolutions) | 10,000+ | | Ankit Bansal | [Ankit Bansal](https://youtube.com/@ankitbansal6) | 10,000+ | | Mr. K Talks Tech | [Mr. K Talks Tech](https://www.youtube.com/channel/UCzdOan4AmF65PmLLks8Lmww) | 10,000+ | | Samuel Focht | [Python Basics](https://www.youtube.com/@PythonBasics) | 10,000+ | | Mehdi Ouazza | [Mehdio DataTV](https://www.youtube.com/@mehdio) | 3,000+ | | Alex Merced | [Alex Merced Data](https://www.youtube.com/@alexmerceddata_) | N/A | | John Kutay | [John Kutay](https://www.youtube.com/@striiminc) | N/A | #### LinkedIn | Name | LinkedIn Profile | Follower Count | |--------------------------|----------------------------------------------------------------------------------------------------------|---------------:| | Zach Wilson | [Zach Wilson](https://www.linkedin.com/in/eczachly) | 400,000+ | | Chip Huyen | [Chip Huyen](https://www.linkedin.com/in/chiphuyen/) | 250,000+ | | Shashank Mishra | [Shashank Mishra](https://www.linkedin.com/in/shashank219/) | 100,000+ | | Seattle Data Guy | [Ben Rogojan](https://www.linkedin.com/in/benjaminrogojan) | 100,000+ | | TrendyTech | [Sumit Mittal](https://www.linkedin.com/in/bigdatabysumit/) | 100,000+ | | Darshil Parmar | [Darshil Parmar](https://www.linkedin.com/in/darshil-parmar/) | 100,000+ | | Andreas Kretz | [Andreas Kretz](https://www.linkedin.com/in/andreas-kretz) | 100,000+ | | ByteByteGo (Alex Xu) | [Alex Xu](https://www.linkedin.com/in/alexxubyte) | 100,000+ | | Azure Lib (Deepak Goyal) | [Deepak Goyal](https://www.linkedin.com/in/deepak-goyal-93805a17/) | 100,000+ | | Alex Freberg | [Alex Freberg](https://www.linkedin.com/in/alex-freberg/) | 100,000+ | | SQLBI (Marco Russo) | [Marco Russo](https://www.linkedin.com/in/sqlbi) | 50,000+ | | Ankit Bansal | [Ankit Bansal](https://www.linkedin.com/in/ankitbansal6/) | 50,000+ | | Marc Lamberti | [Marc Lamberti](https://www.linkedin.com/in/marclamberti) | 50,000+ | | Ankur Ranjan | [Ankur Ranjan](https://www.linkedin.com/in/thebigdatashow/) | 48,000+ | | ITVersity (Durga Gadiraju)| [Durga Gadiraju](https://www.linkedin.com/in/durga0gadiraju/) | 48,000+ | | Prashanth Kumar Pandey | [Prashanth Kumar Pandey](https://www.linkedin.com/in/prashant-kumar-pandey/) | 37,000+ | | Alex Merced | [Alex Merced](https://www.linkedin.com/in/alexmerced) | 30,000+ | | Ijaz Ali | [Ijaz Ali](https://www.linkedin.com/in/ijaz-ali-6aaa87122/) | 24,000+ | | Mehdi Ouazza | [Mehdi Ouazza](https://www.linkedin.com/in/mehd-io/) | 20,000+ | | Ananth Packkildurai | [Ananth Packkildurai](https://www.linkedin.com/in/ananthdurai/) | 18,000+ | | Manojkumar Vadivel | [Manojkumar Vadivel](https://www.linkedin.com/in/manojvsj/) | 12,000+ | | Advancing Analytics | [Simon Whiteley](https://www.linkedin.com/in/simon-whiteley-uk/) | 10,000+ | | Li Yin | [Li Yin](https://www.linkedin.com/in/li-yin-ai/) | 10,000+ | | Jaco van Gelder | [Jaco van Gelder](https://www.linkedin.com/in/jwvangelder/) | 10,000+ | | Joseph Machado | [Joseph Machado](https://www.linkedin.com/in/josephmachado1991/) | 10,000+ | | Eric Roby | [Eric Roby](https://www.linkedin.com/in/codingwithroby/) | 10,000+ | | Simon Späti | [Simon Späti](https://www.linkedin.com/in/sspaeti/) | 10,000+ | | Constantin Lungu | [Constantin Lungu](https://www.linkedin.com/in/constantin-lungu-668b8756) | 10,000+ | | Lakshmi Sontenam | [Lakshmi Sontenam](https://www.linkedin.com/in/shivaga9esh) | 9,500+ | | Soumil Shah | [Soumil Shah](https://www.linkedin.com/in/shah-soumil/) | 8,000+ | | Arnaud Milleker | [Arnaud Milleker](https://www.linkedin.com/in/arnaudmilleker/) | 7,000+ | | Lenny | [Lenny A](https://www.linkedin.com/in/lennyardiles/) | 6,000+ | | Dipankar Mazumdar | [Dipankar Mazumdar](https://www.linkedin.com/in/dipankar-mazumdar/) | 5,000+ | | Daniel Ciocirlan | [Daniel Ciocirlan](https://www.linkedin.com/in/danielciocirlan) | 5,000+ | | Hugo Lu | [Hugo Lu](https://www.linkedin.com/in/hugo-lu-confirmed/) | 5,000+ | | Tobias Macey | [Tobias Macey](https://www.linkedin.com/in/tmacey) | 5,000+ | | Marcos Ortiz | [Marcos Ortiz](https://www.linkedin.com/in/mlortiz) | 5,000+ | | Julien Hurault | [Julien Hurault](https://www.linkedin.com/in/julienhuraultanalytics/) | 5,000+ | | John Kutay | [John Kutay](https://www.linkedin.com/in/johnkutay/) | 5,000+ | | Hassaan Akbar | [Hassaan Akbar](https://www.linkedin.com/in/ehassaan) | 5,000+ | | Subhankar | [Subhankar](https://www.linkedin.com/in/subhankarumass/) | 5,000+ | | Nitin | [Nitin](https://www.linkedin.com/in/tomernitin29/) | N/A | #### X/Twitter | Name | X/Twitter Profile | Follower Count | |-------------------|------------------------------------------------------------------|---------------:| | ByteByteGo | [alexxubyte](https://twitter.com/alexxubyte/) | 100,000+ | | Dan Kornas | [@dankornas](https://www.twitter.com/dankornas) | 66,000+ | | Zach Wilson | [EcZachly](https://www.twitter.com/EcZachly) | 30,000+ | | Seattle Data Guy | [SeattleDataGuy](https://www.twitter.com/SeattleDataGuy) | 10,000+ | | SQLBI | [marcorus](https://x.com/marcorus) | 10,000+ | | Joseph Machado | [startdataeng](https://twitter.com/startdataeng) | 5,000+ | | Alex Merced | [@amdatalakehouse](https://www.twitter.com/amdatalakehouse) | N/A | | John Kutay | [@JohnKutay](https://x.com/JohnKutay) | N/A | | Mehdi Ouazza | [mehd_io](https://x.com/mehd_io) | N/A | #### Instagram | Name | Instagram Profile | Follower Count | |----------------|--------------------------------------------------------------------------------------|---------------:| | Sundas Khalid | [sundaskhalidd](https://www.instagram.com/sundaskhalidd) | 300,000+ | | Zach Wilson | [eczachly](https://www.instagram.com/eczachly) | 150,000+ | | Andreas Kretz | [learndataengineering](https://www.instagram.com/learndataengineering) | 5,000+ | | Alex Merced | [@alexmercedcoder](https://www.instagram.com/alexmercedcoder) | N/A | #### TikTok | Name | TikTok Profile | Follower Count | |-----------------|----------------------------------------------------------------------------------|---------------:| | Zach Wilson | [@eczachly](https://www.tiktok.com/@eczachly) | 70,000+ | | Alex Freberg | [@alex_the_analyst](https://www.tiktok.com/@alex_the_analyst) | 10,000+ | | Mehdi Ouazza | [@mehdio_datatv](https://www.tiktok.com/@mehdio_datatv) | N/A | ### Great Podcasts - [The Data Engineering Show](https://www.dataengineeringshow.com/) - [Data Engineering Podcast](https://www.dataengineeringpodcast.com/) - [DataTopics](https://www.datatopics.io/) - [The Data Engineering Side Of Data](https://podcasts.apple.com/us/podcast/the-engineering-side-of-data/id1566999533) - [DataWare](https://www.ascend.io/dataaware-podcast/) - [The Data Coffee Break Podcast](https://www.deezer.com/us/show/5293247) - [The Datastack show](https://datastackshow.com/) - [Intricity101 Data Sharks Podcast](https://www.intricity.com/learningcenter/podcast) - [Drill to Detail with Mark Rittman](https://www.rittmananalytics.com/drilltodetail/) - [Analytics Power Hour](https://analyticshour.io/) - [Catalog & cocktails](https://listen.casted.us/public/127/Catalog-%26-Cocktails-2fcf8728) - [Datatalks](https://datatalks.club/podcast.html) - [Data Brew by Databricks](https://www.databricks.com/discover/data-brew) - [The Data Cloud Podcast by Snowflake](https://rise-of-the-data-cloud.simplecast.com/) - [What's New in Data](https://www.striim.com/podcast/) - [Open||Source||Data by Datastax](https://www.datastax.com/resources/podcast/open-source-data) - [Streaming Audio by confluent](https://developer.confluent.io/podcast/) - [The Data Scientist Show](https://podcasts.apple.com/us/podcast/the-data-scientist-show/id1584430381) - [MLOps.community](https://podcast.mlops.community/) - [Monday Morning Data Chat](https://open.spotify.com/show/3Km3lBNzJpc1nOTJUtbtMh) - [The Data Chief](https://www.thoughtspot.com/data-chief/podcast) ### Great [list of 20+ newsletters](newsletters.md) Top must follow newsletters for data engineering: - [DataEngineer.io Newsletter](https://blog.dataengineer.io) - [Joe Reis](https://joereis.substack.com) - [Start Data Engineering](https://www.startdataengineering.com) - [Data Engineering Weekly](https://www.dataengineeringweekly.com) ### Glossaries: - [Data Engineering Vault](https://www.ssp.sh/brain/data-engineering/) - [Airbyte Data Glossary](https://glossary.airbyte.com/) - [Data Engineering Wiki by Reddit](https://dataengineering.wiki/Index) - [Seconda Glossary](https://www.secoda.co/glossary/) - [Glossary Databricks](https://www.databricks.com/glossary) - [Airtable Glossary](https://airtable.com/shrGh8BqZbkfkbrfk/tbluZ3ayLHC3CKsDb) - [Data Engineering Glossary by Dagster](https://dagster.io/glossary) ### Design Patterns - [Cumulative Table Design](https://www.github.com/DataExpert-io/cumulative-table-design) - [Microbatch Deduplication](https://www.github.com/EcZachly/microbatch-hourly-deduped-tutorial) - [The Little Book of Pipelines](https://www.github.com/EcZachly/little-book-of-pipelines) - [Data Developer Platform](https://datadeveloperplatform.org/architecture/) ### Courses / Academies - [DataExpert.io course](https://www.dataexpert.io) use code **HANDBOOK10** for a discount! - [LearnDataEngineering.com](https://www.learndataengineering.com) - [Technical Freelancer Academy](https://www.technicalfreelanceracademy.com/) Use code **zwtech** for a discount! - [IBM Data Engineering for Everyone](https://www.edx.org/learn/data-engineering/ibm-data-engineering-basics-for-everyone) - [Qwiklabs](https://www.qwiklabs.com/) - [DataCamp](https://www.datacamp.com/) - [Udemy Courses from Shruti Mantri](https://www.udemy.com/user/shruti-mantri-5/) - [Rock the JVM](https://rockthejvm.com/) teaches Spark (in Scala), Flink and others - [Data Engineering Zoomcamp by DataTalksClub](https://datatalks.club/) - [Efficient Data Processing in Spark](https://josephmachado.podia.com/efficient-data-processing-in-spark) - [Scaler](https://www.scaler.com/) - [DataTeams - Data Engingeer hiring platform](https://www.datateams.ai/) - [Udemy Courses from Daniel Blanco](https://danielblanco.dev/links) ### Certifications Courses - [Google Cloud Certified - Professional Data Engineer](https://cloud.google.com/certification/data-engineer) - [Databricks - Certified Associate Developer for Apache Spark](https://www.databricks.com/learn/certification/apache-spark-developer-associate) - [Databricks - Data Engineer Associate](https://www.databricks.com/learn/certification/data-engineer-associate) - [Databricks - Data Engineer Professional](https://www.databricks.com/learn/certification/data-engineer-professional) - [Exam DP-203: Data Engineering on Microsoft Azure](https://learn.microsoft.com/en-us/credentials/certifications/exams/dp-203/?tab=tab-learning-paths) - [Microsoft Fabric Analytics Engineer Associate](https://learn.microsoft.com/credentials/certifications/fabric-analytics-engineer-associate/) - [AWS Certified Data Engineer - Associate](https://aws.amazon.com/certification/certified-data-engineer-associate/) ", Assign "at most 3 tags" to the expected json: {"id":"5202","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"