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Corp Alternatives
Similar projects and alternatives to corp
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terraform
Terraform enables you to safely and predictably create, change, and improve infrastructure. It is a source-available tool that codifies APIs into declarative configuration files that can be shared amongst team members, treated as code, edited, reviewed, and versioned.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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nodejs-bigquery
Node.js client for Google Cloud BigQuery: A fast, economical and fully-managed enterprise data warehouse for large-scale data analytics.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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streamify
A data engineering project with Kafka, Spark Streaming, dbt, Docker, Airflow, Terraform, GCP and much more!
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eventsim
Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic. (by viirya)
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spark-bigquery-connector
BigQuery data source for Apache Spark: Read data from BigQuery into DataFrames, write DataFrames into BigQuery tables.
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eventsim
Event data simulator. Generates a stream of pseudo-random events from a set of users, designed to simulate web traffic.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better corp alternative or higher similarity.
corp reviews and mentions
Posts with mentions or reviews of corp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-05-03.
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Are there database design Standards out there? As in, formal documents listing exact best practices for OLTP database design?
Here's one that covers some of your points and that I like in general: https://github.com/dbt-labs/corp/blob/main/dbt_style_guide.md Except instead of prefixing my table names with the processing stage, I keep them in schemas by processing stage (source, staging, analytics). So, I can tell my analysts to look into the analytics schema for all the final tables, and they won't be bothered by intermediate models. The table names also have a precise structure that corresponds to our specific subject.
- Looking to understand why the dbt style guide recommends to use *all lower case* for keywords, field names, and function names?
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Best practices for data modeling with SQL and dbt
I find the content more or less ripped from of dbt's own styleguide
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SQL Code Style Properties Questions
For anyone wondering this is the DBT style guide I am referencing from.
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A modern data stack for startups
While the tool choice is obvious, how to use dbt is going to be a more controversial. There's a load of great resources on dbt best practices, but as you can see from my Slack questions, there's enough ambiguity to tie you up.
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Completed my first Data Engineering project with Kafka, Spark, GCP, Airflow, dbt, Terraform, Docker and more!
Just a slight critique, but I noticed some of the dbt models are a bit hard to read. Especially your dim_users SCD2 model, which uses lots of nested subqueries and multiple columns on the same line. You may want to refer to this style guide from dbt Labs. I find CTEs are a lot easier to parse and read.
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What are some good resources for learning to write clean, production-quality code?
I really like thisthis SQL STYLE GUIDE, and if you use dbt, the dbt style guide.
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How do you format your SQL queries?
I like this one very much from dbt very much.
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Where do you like to do the L of ELT? Python or DBT?
I recommend you write one. You can take inspiration from dbt's one or Gitlab
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Confused about benefits of CTE
I've seen fishtown analytics coding conventions recommend a lot around here, but there are a few things about their recommendations of CTE use that confuse me.
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A note from our sponsor - InfluxDB
www.influxdata.com | 3 May 2024
Stats
Basic corp repo stats
12
413
4.6
4 days ago
dbt-labs/corp is an open source project licensed under Apache License 2.0 which is an OSI approved license.
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