Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Rudder Server | 3,841 | 1 | 3 months ago | 298 | December 07, 2023 | 32 | other | Go | ||
Privacy and Security focused Segment-alternative, in Golang and React | ||||||||||
Elementary | 1,721 | 1 | 13 days ago | 68 | December 07, 2023 | 192 | apache-2.0 | HTML | ||
The dbt-native data observability solution for data & analytics engineers. Monitor your data pipelines in minutes. Available as self-hosted or cloud service with premium features. | ||||||||||
Scratchdb | 956 | 3 months ago | 33 | agpl-3.0 | Go | |||||
Scratch is an open-source alternative to BigQuery, Redshift, and Snowflake. Runs on Clickhouse. | ||||||||||
Data Engineering Projects | 322 | a year ago | 5 | Jupyter Notebook | ||||||
Personal Data Engineering Projects | ||||||||||
Yuniql | 292 | 1 | 7 | 2 years ago | 25 | May 25, 2022 | 65 | apache-2.0 | C# | |
Free and open source schema versioning and database migration made natively with .NET/6. NEW THIS MAY 2022! v1.3.15 released! | ||||||||||
Cueobserve | 144 | 2 years ago | 27 | apache-2.0 | Python | |||||
Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases | ||||||||||
Amazon Serverless Datalake Workshop | 123 | 4 years ago | 1 | other | HTML | |||||
A workshop demonstrating the capabilities of S3, Athena, Glue, Kinesis, and Quicksight. | ||||||||||
Arthur Redshift Etl | 25 | 7 months ago | 43 | mit | Python | |||||
ELT Code for your Data Warehouse | ||||||||||
Redshift Ruby Tutorial | 23 | 9 years ago | 1 | mit | Ruby | |||||
Using AWS Redshift and Ruby to setup your data warehouse | ||||||||||
Amazon Redshift Modernize Dw | 13 | 5 years ago | other | |||||||
Can you set up a data warehouse and create a dashboard in under 60 minutes? In this workshop, we show you how with Amazon Redshift, a fully managed cloud data warehouse that provides first-rate performance at the lowest cost for queries across your data warehouse and data lake. Learn the steps and best practices for deploying your data warehouse in your organization. Also, learn how to query petabytes of data in your data warehouse and exabytes of data, without loading or moving, in your Amazon S3 data lake. Finally, learn how to easily migrate from traditional or on-premises data warehouses. |