Introduction to Delta Lake: In today’s world, organizations generate terabytes to petabytes of data daily. This data usually lands in data lakes built on cloud storage systems such as Amazon S3, Azure Data Lake Storage, […]
Category: Databricks
Databricks
Databricks Certified Data Engineer Professional Exam
Introduction The Databricks Certified Data Engineer Professional certification validates a candidate’s ability to perform advanced data engineering tasks using the Databricks platform and its associated tools like Apache Spark™, Delta Lake, MLflow, […]
Databricks
Ignore PySpark, Regret Later: Databricks Skill That Pays Off
“If only I had started learning PySpark earlier…”This is the sentence I’ve heard most from junior developers, data analysts, and even experienced engineers trying to get into Databricks. If you’re […]
Databricks
Databricks Interview Questions for Data Engineers
Are you preparing for a Databricks interview and want to go beyond theory? Most job interviews today focus on real-world experience — not just definitions. In this post, I’ll walk you through actual scenario-based Databricks […]
Databricks
VACUUM in Databricks: Cleaning or Killing Your Data?
A thought-provoking exploration of Delta Lake’s VACUUM command. its purpose, risks, and how to use it wisely in modern data pipelines. 📒 Agenda Introduction What is VACUUM in Delta Lake? What Was […]
Databricks
Stream-Stream Joins with Watermarks in Databricks Using Apache Spark
Learn how to build a scalable real-time data pipeline in Databricks by joining two Kafka streams using Apache Spark Structured Streaming and watermarks. This guide includes a hands-on use case, full PySpark code, and key […]
Databricks
Why Every Data Engineer Should Learn Databricks in 2025
Introduction If you’ve been learning or working in data, chances are you’ve heard the name Databricks floating around. Maybe someone mentioned it during a college project, or maybe it popped up in […]
Databricks
2025 DLT Update: Intelligent, Fully Governed Data Pipelines
In 2025, Databricks has taken a big step forward by updating Delta Live Tables (DLT) to make data pipelines smarter, faster, and fully governed. This update helps data teams build trusted pipelines […]
Databricks
Implementing a Dimensional Data Warehouse with Databricks SQL
Modern analytics using the Lakehouse architecture. 📌 Introduction Dimensional Data Warehousing has long been the foundation of business intelligence and reporting systems. But today, data is bigger, faster, and messier […]
Databricks
Databricks Architecture Overview: Components & Workflow
Introduction Databricks is a cloud-based data engineering platform that simplifies big data and artificial intelligence (AI) workloads. Built on Apache Spark, Databricks provides a unified analytics platform with robust data […]