#Google-cloud-storage
Showing 23 of 23 repositories tagged #google-cloud-storage, ranked by stars
"rsync for cloud storage" - Google Drive, S3, Dropbox, Backblaze B2, One Drive, Swift, Hubic, Wasabi, Google Cloud Storage, Azure Blob, Azure Files, Yandex Files
Database migrations. CLI and Golang library.
Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
Cross-platform backup tool for Windows, macOS & Linux with fast, incremental backups, client-side end-to-end encryption, compression and data deduplication. CLI and GUI included.
Full-featured and highly configurable SFTP, HTTP/S, FTP/S and WebDAV server - S3, Google Cloud Storage, Azure Blob
a high-performance, POSIX-ish Amazon S3 file system written in Go
lakeFS - Data version control for your data lake | Git for data
Continuous Archiving for Postgres
Database migrations. CLI and Golang library.
The simplest, highest-throughput Python interface to S3, GCS & Azure Storage, powered by Rust.
Copy to/from Parquet in S3, Azure Blob Storage, Google Cloud Storage, http(s) stores, local files or standard inout stream from within PostgreSQL
Manage Helm repositories on Google Cloud Storage 🔐 **privately**
The universal Sentry release CLI 🚀
:black_joker: An awesome viewer to browse and render Jupyter Notebooks from local, Amazon S3, Google Cloud Storage or MinIO
Unified cloud storage API for storage services.
Cloud & local storage unified api (s3, google, azure, sftp, local)
SFTP Server using Google Cloud Storage
GCP Terraform on Google Cloud:DevOps SRE 30 Real-World Demos
Private Terraform Registry Manager
Jupyter support for Google Cloud Storage
An end-to-end data pipeline which extracts divvy bikeshare data from web loads it into data lake and datawarehouse transforms it using dbt and finally , a dashboard to visualize the data using looker studio, the pipeline is orchestrated using prefect
My personal project for data engineering zoomcamp
Scalable ETL Pipeline: Processing 5M+ retail records with PySpark on GCP Dataproc. Automated the extraction of global business KPIs and consumer trends. Includes an Ethical Data Framework to ensure privacy and fairness at scale