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r/dataengineering is a subreddit with 351k members. Its distinguishing qualities are that the community is huge in size, and has high activity.
News & discussion on Data Engineering topics, including but not limited to: data pipelines, databases, data formats, storage, data modeling, data governance, cleansing, NoSQL, distributed systems, streaming, batch, Big Data, and workflow engines.
Popular Themes in r/dataengineering
#1
Advice Requests
: "I’m a data engineer with only Azure and sql"
15 posts
#2
Solution Requests
: "Help with parsing a troublesome PDF format"
6 posts
#3
Pain & Anger
: "You haven’t truly suffered until you’ve debugged a multi-thousand-line stored procedure from 2009 👹"
4 posts
#4
Ideas
: "Modern data engineering stack"
1 post
#5
Self-Promotion
: "🚀 Launching Live 1-on-1 PySpark/SQL Sessions – Learn From a Working Professional"
1 post
Popular Topics in r/dataengineering
#1
Data Engineering
: "What do you use Python for in Data Engineering (sorry if dumb question)"
44 posts
#2
Data Engineer
: "I'm Data Engineer but doing Power BI"
27 posts
#3
Sql
: "Where to practice Sql to get a decent DE Sql level?"
11 posts
#4
Dbt
: "Airbyte, Snowflake, Dbt and Airflow still a decent stack for newbies?"
9 posts
#5
Career
: "Data Engineer Career Path"
9 posts
#6
Python
: "What do you use Python for in Data Engineering (sorry if dumb question)"
8 posts
#7
Etl
: "I've built my Etl Pipeline, should I focus on optimising my pipeline or should I focus on building an endpoint for my data?"
7 posts
#8
Databricks
: "Databricks forgot to renew their websites certification"
7 posts
#9
Azure
: "Free tier isn’t enough — how can I learn Azure Data Factory more effectively?"
6 posts
#10
Spark
: "When Does Spark Actually Make Sense?"
6 posts
Member Growth in r/dataengineering
Yearly
+159k members(83.2%)
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