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Ddatabricks_bootcamp_2026
End-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, SQL, Delta Lake, and Unity Catalog. Designed for learning, portfolio building, and job interviews.
Spandas-ai
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Popularity
Repository stars45823,924Highest
7-day net stars——
Fork2012,345Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-01-192025-10-28
Maintenance notesNot verifiedNot verified
Repository created2026-01-142023-04-22
License & use
LicenseMIT · PermissiveLicense not declared
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysisData analysis · Data visualization · Databases
TypeApps & systemsApps & systems
SubcategoryGeneralDatabases & search
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguageJupyter NotebookPython
About this projectEnd-to-end Data Lakehouse project built on Databricks, following the Medallion Architecture (Bronze, Silver, Gold). Covers real-world data engineering and analytics workflows using Spark, PySpark, SQL, Delta Lake, and Unity Catalog. Designed for learning, portfolio building, and job interviews.Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Measured at2026-11-02 19:03 UTC2026-11-02 18:59 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.