datavault4dbt VS BigQuery-Python

Compare datavault4dbt vs BigQuery-Python and see what are their differences.

datavault4dbt

Scalefree's dbt package for a Data Vault 2.0 implementation congruent to the original Data Vault 2.0 definition by Dan Linstedt including the Staging Area, DV2.0 main entities, PITs and Snapshot Tables. (by ScalefreeCOM)
datavault hubs Links pits satellites sourcemarts stagingarea Bigquery Snowflake scalefree dbt dbt-packages google-bigquery exasol Snapshots azure-synapse Postgresql Redshift
Source Code
scalefree.com
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BigQuery-Python

Simple Python client for interacting with Google BigQuery. (by tylertreat)
Bigquery google-bigquery Python
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datavault4dbt BigQuery-Python
1 1
116 449
6.0% -
8.0 1.8
5 days ago over 2 years ago
PLSQL Python
Apache License 2.0 Apache License 2.0
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datavault4dbt

Posts with mentions or reviews of datavault4dbt. We have used some of these posts to build our list of alternatives and similar projects.

BigQuery-Python

Posts with mentions or reviews of BigQuery-Python. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-16.
  • How To Access And Query Your Google BigQuery Data Using Python And R
    3 projects | dev.to | 16 Sep 2021
    To query your Google BigQuery data using Python, we need to connect the Python client to our BigQuery instance. We do so using a cloud client library for the Google BigQuery API. You can also choose to use any other third-party option to connect BigQuery with Python; the BigQuery-Python library by tylertreat is also a great option.

What are some alternatives?

When comparing datavault4dbt and BigQuery-Python you can also consider the following projects:

automate-dv - A free to use dbt package for creating and loading Data Vault 2.0 compliant Data Warehouses (powered by dbt, an open source data engineering tool, registered trademark of dbt Labs)

rudderstack-docs - Documentation repository for RudderStack - the Customer Data Platform for Developers.

prism - Prism is the easiest way to develop, orchestrate, and execute data pipelines in Python.

ethereum-etl - Python scripts for ETL (extract, transform and load) jobs for Ethereum blocks, transactions, ERC20 / ERC721 tokens, transfers, receipts, logs, contracts, internal transactions. Data is available in Google BigQuery https://goo.gl/oY5BCQ

dbt-ml-preprocessing - A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.

bigrquery - An interface to Google's BigQuery from R.

sqitch - Sensible database change management

bitcoin-etl - ETL scripts for Bitcoin, Litecoin, Dash, Zcash, Doge, Bitcoin Cash. Available in Google BigQuery https://goo.gl/oY5BCQ

elementary - 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.

bigquery-schema-generator - Generates the BigQuery schema from newline-delimited JSON or CSV data records.

dbt-coves - CLI tool for dbt users to simplify creation of staging models (yml and sql) files

somm_airdrop - Sommelier Finance (SOMM) token distribution for the airdrop proposed in Sips-002

datavault4dbt vs automate-dv BigQuery-Python vs rudderstack-docs datavault4dbt vs prism BigQuery-Python vs ethereum-etl datavault4dbt vs dbt-ml-preprocessing BigQuery-Python vs bigrquery datavault4dbt vs sqitch BigQuery-Python vs bitcoin-etl datavault4dbt vs elementary BigQuery-Python vs bigquery-schema-generator datavault4dbt vs dbt-coves BigQuery-Python vs somm_airdrop