tech with jai

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45 videos

Welcome to Tech with jai – your go-to hub for hands-on cloud data engineering tutorials! Dive into Python scripting, SQL/PL/SQL mastery, Azure Data Factory p...

Latest Videos

14) Databricks Time Travel Deep Dive Using VERSION AS OF and TIMESTAMP AS OF

13) Master Recover Deleted Data in Databricks

12) Delta Lake Deep Dive Everything You Need to Know About Delta Table Creation

11) Master Delta Lake

10) Power BI + Databricks SQL Warehouse Full Dashboard Build (Step-by-Step)

9) Databricks SQL Optimization Create Views from Volume Files & Delta Tables

8) Databricks Volumes Masterclass Managed vs External & Un Structured Data Handling

7) Master External Catalogs, Schemas & Tables in 15 Minutes!

6) Storage Credentials & External Locations Ultimate Data Lake Access Guide

5) Managed vs External Delta Table (Which is Better for Performance)

4) Master Managed Catalogs, Schemas, & Tables in Databricks

3) Master Azure Databricks Metastore, Compute, and Notebook Setup Guide

2) Azure Databricks Deployment Checklist Don't Skip These Steps!

2)How To Deploy Azure Databricks Checklist Don't Skip These Steps!

1) Master Data Bricks Unity Catalog in Minutes

12) ADF Data Flow Join Employees & Departments, Rank by Salary & Export to Blob

11) ETL Pipeline Cherry‑Pick Only Employee Files in Azure Data Factory

10) If‑Else (If Condition) in Azure Data Factory – Conditional Logic Explained

9) Set Variable Activity in Azure Data Factory – Full Guide

8) Get Metadata Activity in Azure Data Factory – Full Guide

7) How to Use Delete Activity for Files & Folders in ADF

6) Copy Data Activity in Azure Data Factory – Complete Guide

5) ADF ETL Pipeline For‑Loop, Lookup & Script Activity Explained

4) How to Create Datasets and Parameterized Datasets in ADF

3) How to Create Linked Services in ADF Explained

2) Azure Data Factory Deployment in Azure Portal – Step‑by‑Step Guide

1) ADF for Data Engineers – Cloud ETL & Orchestration Explained

8) Power BI → Azure SQL Live Connection + Employee Bar Chart

7) Python Azure Function Read Blob CSV → JSON Output (Pandas Magic)

6) VS Code → Azure Function Deploy function_app.py + host.json Setup #7