An end-to-end data engineering portfolio project that collects hourly cryptocurrency market data, processes it using Python, stores it in Microsoft SQL Server, and prepares analytical datasets for ...

This project implements a SQL-based ETL pipeline for IKEA India product data using Databricks SQL. It follows Medallion Architecture with Bronze, Silver, and Gold layers to organize source data, clean ...

AI data preparation is the unglamorous half of working with data: cleaning, joining, and reshaping raw tables while an AI ...

An analyst types "merge the three regional sales files and flag every order over $10,000" into an AI box. What comes back is ...

This page describes how to ingest data into Databricks Lakeflow Connect using SQL and Spark APIs, which offer higher levels of ingestion pipeline customization compared to the managed connectors. Use ...

Databricks SQL is a cloud data warehouse built on lakehouse architecture. It runs directly on your data lake, supports ANSI SQL with Delta Lake extensions, and provides the tools to build highly ...

"I want to work in DX. But I don't know which position suits me—developing as an engineer or promoting as a planner."DX and ...

Apache Flink is an open-source, distributed engine for stateful processing over unbounded (streams) and bounded (batches) data sets. Stream processing applications are designed to run continuously, ...

Compare Custom ETL vs. AI data pipeline migration. Learn why the best strategy lets AI automate the grunt work while ...

Learn how to replicate PostgreSQL to Snowflake using Estuary and CDC. Build a step-by-step pipeline that captures inserts, ...

TCS is shifting its hiring strategy for 2026, requiring 80% of new recruits to be AI-ready. Discover the essential skills, ...