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Data Engineering
🛠️ Data Engineering
data pipelines, ETL, data lakes, Apache Spark
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297
posts in
8.7
ms
SDLC vs. AIDLC: Why
Data
Engineering
is Pushing the Boundaries of Software Development
🔁
MLOps
Content type:
Blog
medium.com
·
5d
5 days ago
Actions for SDLC vs. AIDLC: Why Data Engineering is Pushing the Boundaries of Software Development
Daily Deal: The 2026
Data
Engineering
Bundle featuring Databricks
⚡
Apache Spark
techdirt.com
·
5h
5 hours ago
Actions for Daily Deal: The 2026 Data Engineering Bundle featuring Databricks
Introducing Streamling: Performant and Extensible
Data
Streaming Framework
⚙️
Query Engines
Content type:
News
streamingdata.tech
·
1d
1 day ago
Actions for Introducing Streamling: Performant and Extensible Data Streaming Framework
LakeQA
: An Exploratory QA Benchmark over a Million-Scale
Data
Lake
💬
LLMs
Content type:
Academic
arxiv.org
·
18h
18 hours ago
Actions for LakeQA: An Exploratory QA Benchmark over a Million-Scale Data Lake
Run an
Apache
Airflow
DAG with Docker Compose and PostgreSQL
🗄️
Databases
pyimagesearch.com
·
2d
2 days ago
Actions for Run an Apache Airflow DAG with Docker Compose and PostgreSQL
Designing an
ETL
Application: Why I Started with a Modular Monolith Before Microservices
⚙️
Backend Engineering
Content type:
Blog
medium.com
·
13h
13 hours ago
Actions for Designing an ETL Application: Why I Started with a Modular Monolith Before Microservices
Enhancements to Managed Service for
Apache
Spark
clusters
⚡
Apache Spark
Content type:
Blog
cloud.google.com
·
6d
6 days ago
Actions for Enhancements to Managed Service for Apache Spark clusters
Franz
📨
Kafka
flathub.org
·
9h
9 hours ago
Actions for Franz
Linux Fundamentals for
Data
Engineering
⚡
Apache Spark
dev-to-uploads.s3.amazonaws.com
·
2d
2 days ago
·
DEV
Actions for Linux Fundamentals for Data Engineering
Kafka
Share Groups and Parallelizing Consumption -
Part
3: Client-local parallelism
📨
Kafka
Content type:
Blog
jack-vanlightly.com
·
22h
22 hours ago
Actions for Kafka Share Groups and Parallelizing Consumption - Part 3: Client-local parallelism
Beyond Dual Writes: Microservice Integration Strategies
⚙️
Backend Engineering
Content type:
Blog
medium.com
·
2d
2 days ago
Actions for Beyond Dual Writes: Microservice Integration Strategies
Snowflake
Datastream
:
Kafka-native
streaming in Snowflake
📨
Kafka
snowflake.com
·
6d
6 days ago
·
Hacker News
Actions for Snowflake Datastream: Kafka-native streaming in Snowflake
Exclusive: MotherDuck adds agentic
data
ingestion to its cloud analytics service
☁️
Cloud Computing
siliconangle.com
·
9h
9 hours ago
Actions for Exclusive: MotherDuck adds agentic data ingestion to its cloud analytics service
Real-time
data
replication to your
data
warehouse
, self-serve
🧊
Apache Iceberg
artie.com
·
1d
1 day ago
·
Hacker News
,
Hacker News
Actions for Real-time data replication to your data warehouse, self-serve
New comment by mkolarek in "Ask HN: Who wants to be hired? (June 2026)"
🗄️
Databases
Content type:
PDF
markokolarek.com
·
4d
4 days ago
·
Hacker News
Actions for New comment by mkolarek in "Ask HN: Who wants to be hired? (June 2026)"
Deploy ADX Business on DigitalOcean
☁️
Cloud Computing
digitalocean.com
·
22h
22 hours ago
Actions for Deploy ADX Business on DigitalOcean
Location: Edmonton, Canada Remote: Yes Willing to relocate: Yes, within Canada T...
🧊
Apache Iceberg
Content type:
Discussion
news.ycombinator.com
·
1h
1 hour ago
·
Hacker News
Actions for Location: Edmonton, Canada Remote: Yes Willing to relocate: Yes, within Canada T...
Announcing general availability of
Apache
Spark
4.0 on Amazon EMR
⚡
Apache Spark
Content type:
Blog
aws.amazon.com
·
1d
1 day ago
Actions for Announcing general availability of Apache Spark 4.0 on Amazon EMR
Introducing Flights: Agent-Native Ingest in MotherDuck
🗄️
Databases
Content type:
Blog
motherduck.com
·
22h
22 hours ago
Actions for Introducing Flights: Agent-Native Ingest in MotherDuck
What Went Wrong with
Data
Lakes
? A 15-Year Reality Check from the Field
🧊
Apache Iceberg
Content type:
Academic
arxiv.org
·
1d
1 day ago
Actions for What Went Wrong with Data Lakes? A 15-Year Reality Check from the Field
Page 2 »
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