THE BRICK LEARNING
A Data and AI whisperer who help you in your learning journey of Databricks.
Day 5 : RDDs — The Roots of Spark
The Rise of Spatial Analytics in the Databricks Lakehouse Era
Day 4: Inside Spark 4.0 — Architecture & SparkSession
Day 3: From Pandas to Spark — First Steps
The Brick Story: Why This Series Exists – A Manifesto for Aspiring Practice Leaders
Foundation Python Day 15: Working with APIs
Day 13: Pandas Part 2 - Filtering, Sorting, and Selecting Columns
Day 12: pandas Part 1 - Series, DataFrames, Reading & Writing Data
Day 11: File Handling Part 2 - JSON, XML, and YAML
Day 10: File Handling Part 1 - Reading & Writing Text and CSV Files
Foundation Python Day 9: Regex for Data cleaning
Foundation Spark Day 2 : Python Essentials for Spark
Foundation Python Day 8 - String Operations
Foundation Python Day 6 - Functions
Foundation Python Day 7 - Advanced Functions: Lambda, Map, Filter, and Modular Programming
Foundation Python Day 5: Loops - for & while
Foundation Python Day 4: Control Flow in Python
Foundation Python Day 3: Operators & Expressions
Foundation Python Day 2 - Variables & Data Types
Foundation Python Day 1 - Why Python for Data Engineering?
Foundation SQL Day 3 Understanding Datatypes
Foundation SQL Day 2: Why For Data Engineers?
Foundation SQL for Data Engineers — Day 1: What is a Database?
Spark Foundation Day 1: Why Spark for Data Engineering?
Databricks DE Associate Day 16: Delta Live Tables Constraints
Databricks DE Associate Day 15: Auto Loader
Databricks DE Associate Day 14: VACUUM in Delta Lake
Databricks DE Associate Day 13: Job Repair and Restart
Databricks DE Associate Day 12: Job Notifications
Databricks DE Associate Day 11: Cron Schedules in Jobs