Top all-time · #19482
A note from Team Ascend
Company blog · ascend.io/blogdatabusiness
A note from Team Ascend is the company blog at ascend.io, writing about data and business. Since 2019, 4 different Hacker News readers have linked it 6 times. No feed was found, so read it on the site itself.
Too few sampled comments (3) to say how often HN recommends it.?
Why HN links it
HN readers link this company blog's post arguing that a data pipeline is a materialized view, a model of cascading materialized views for big data pipelines. Comments also promote the Ascend product.
Summarised by Claude from a sample of 3 HN comments that link here. Each comment is marked recommending, critical or neutral (citing without judging); how this works.
A note from Team Ascend.
What Hacker News says?
Have a look @ https://www.ascend.io -- addresses the issues you highlight: 1. SQL + Python + Java + Scala 2. state management fully automated 3. automatic incremental materialized views
Comment linking /
on “A Data Pipeline Is a Materialized View”Submitted Omakase for our Data Stack: When to use closed source over an open data stack as a story · 1 points
HN discussionGreat post! Just heard about this from one of our customers who slacked me with "He is describing Ascend.io!" :-) Having spent 15+ years writing big data pipelines and building teams who do the same, I couldn't agree more... the conceptual model we're all quite comfortable with is this notion of cascading, materialized views. The challenge, however, is that they are expensive to maintain in a big data pipeline conte…
Comment linking /data-engineering/
on “A Data Pipeline Is a Materialized View”Submitted The Autonomous Dataflow Service as a story · 1 points
HN discussionAscend.io | Data Automation Cloud | https://ascend.io/ | Full-Time | Hybrid (Menlo Park, CA) or REMOTE (Global) Ascend.io is an end-to-end data automation platform in the cloud. Ascend gives data teams a unified and automated platform to ingest, transform, deliver, observe and orchestrate their entire data engineering and analytics engineering workloads - 10X faster than ever before. If you eat data, Python, SQL, Go…
Comment linking /company/careers/
on “Ask HN: Who is hiring? (December 2022)”