Arimbr

14 ms·

31.
by Arimbr 4y ago
Thanks for the feedback! Recently a community member created a Terraform provider: https://github.com/eabrouwer3/terraform-provider-airbyte
32.
by Arimbr 4y ago
Know that there is also a CLI to manage configurations defined in YAML files. And a few options to deploy Airbyte in "one click". It's all in the README, sorry to hear you didn't find your way around our docs... There ar
33.
Show HN: Airbyte, data integration platform with 300+ open-source connectors(github.com)
29 points by Arimbr 4y ago|13 comments
34.
by Arimbr 4y ago
My bet: Data testing, data monitoring and data catalog solutions will consolidate to cover data quality all together.
35.
Data Engineering Trends for 2023(airbyte.com)
5 points by Arimbr 4y ago|1 comments
36.
Redshift Turns 10: Amazon’s Cloud Data Warehouse Evolution(airbyte.com)
2 points by Arimbr 4y ago|0 comments
37.
Version Control Airbyte Configurations with Octavia CLI(airbyte.com)
1 points by Arimbr 4y ago|0 comments
38.
by Arimbr 4y ago
The future is EtLT! t for data privacy transformations and T for the rest.
39.
Why is data quality harder than code quality?(airbyte.com)
1 points by Arimbr 4y ago|1 comments
40.
Will Rust take over Data Engineering?(airbyte.com)
12 points by Arimbr 4y ago|1 comments
41.
by Arimbr 4y ago
Oh, declarative doesn't necessarily mean no-code. Airbyte data integration connectors are built with an SDK in Python, Java, and a low-code SDK that was just released... You can then build custom connectors on top of these and many use
42.
The evolution of the data engineer role(airbyte.com)
167 points by Arimbr 4y ago|117 comments
43.
Why is data quality harder than code quality?(airbyte.com)
3 points by Arimbr 4y ago|0 comments
44.
Data orchestration trends: The shift from data pipelines to data products(airbyte.com)
4 points by Arimbr 4y ago|0 comments
45.
Climbing the Pyramid of Data Science at Airbyte(airbyte.com)
1 points by Arimbr 4y ago|0 comments
46.
How to reduce Snowflake costs(airbyte.com)
3 points by Arimbr 4y ago|0 comments
47.
Climbing the Pyramid of Data Science with Hybrid Data Engineers(airbyte.com)
3 points by Arimbr 4y ago|0 comments
48.
How to structure a data team to climb the pyramid of Data Science(airbyte.com)
3 points by Arimbr 4y ago|0 comments
49.
by Arimbr 4y ago
Interesting to see how modern data orchestrators seem to be adding some of the features of data catalogs and data observability tools.
50.
SQL vs. Python for Data Analysis(airbyte.com)
2 points by Arimbr 4y ago|0 comments
51.
Testing hundreds of data connectors(airbyte.com)
2 points by Arimbr 5y ago|0 comments
52.
Show HN: Airbyte Cloud – ELT platform with open-source data connectors(airbyte.com)
2 points by Arimbr 5y ago|0 comments
53.
by Arimbr 5y ago
Sorry, wrong link, and I couldn't delete the post. I reposted with the correct link to: https://airbyte.com/blog/sql-vs-python-data-analysis
54.
SQL vs. Python for Data Analysis(airbyte.com)
3 points by Arimbr 5y ago|0 comments
55.
SQL vs Python for Data Analysis(airbyte.com)
1 points by Arimbr 5y ago|1 comments
56.
by Arimbr 5y ago
Nice article! I also tend to favor SQL for simple querying and data processing with dbt, but when I need to unit test some complex logic, I prefer Python.
57.
How to build a real-time analytics pipeline with Airbyte, Kafka, and Pinot(airbyte.com)
1 points by Arimbr 5y ago|0 comments
58.
How we run database migrations with Flyway, jOOQ and testcontainers(airbyte.com)
2 points by Arimbr 5y ago|0 comments
59.
Why Do Data Engineers Replicate Data?(airbyte.com)
2 points by Arimbr 5y ago|0 comments
60.
The Deck We Used to Raise a $150M Series-B(airbyte.com)
3 points by Arimbr 5y ago|0 comments

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