Description
Complete Databricks & PySpark Bootcamp: Zero to Hero. This course takes you from beginner to expert, job-ready data engineer. With a focus on hands-on training and real-world project implementation, this bootcamp provides a complete mastery of the Databricks platform, PySpark processing engine, and Delta Lake technology. You’ll gain essential skills as you build complete ETL pipelines in the cloud, for both batch and streaming data processing, step-by-step. This course covers mastering the Medallion architecture, including Bronze, Silver, and Gold tiers for trusted data management, working with Delta Lake for ACID transactions and data schema management, and using tools like Auto Loader and Delta Live Tables. You’ll gain hands-on experience by working on real-world projects in diverse domains such as retail, banking, IoT, and e-commerce. These projects include building data pipelines, cleaning and transforming data with PySpark, implementing data quality rules, and finally creating analytical tables and visualizing insights in Databricks SQL dashboards. Using the free Databricks Community Edition, this course teaches industry best practices and optimization techniques used by leading companies, preparing you for job interviews and earning prestigious data engineering certifications.
What you will learn
- Building data engineering pipelines:
- Building end-to-end data engineering pipelines in Databricks using PySpark and SQL.
- Medallion Architecture and Trusted Data:
- Understand and implement the Medallion Architecture (Bronze, Silver, Gold tiers) for clean and trusted data.
- Data transformation with PySpark:
- Perform data cleaning, transformations, and aggregations with PySpark for real-world projects.
- Creating dashboards and KPIs:
- Create dashboards and KPIs (Key Performance Indicators) in Databricks SQL and visualize the insights gained.
- Hands-on experience with real datasets:
- Gain hands-on experience with real datasets and projects to prepare for data engineering roles.
- Data reception and conversion:
- Ingest and transform data using Auto Loader and Delta Live Tables (DLT).
This course is suitable for people who:
- Aspiring data engineers looking to start a career with Databricks and PySpark.
- SQL developers/analysts who are transitioning to Big Data and Cloud data engineering.
- Python developers who want to expand their knowledge in ETL and Spark pipelines.
- Cloud engineers (AWS, Azure, GCP) who want to integrate Databricks into their workflow.
- Students and beginners in data engineering looking for portfolio-ready projects.
- Anyone preparing for data engineering roles or certifications involving Databricks.
Course details
- Publisher: Udemy
- Instructor: manish tiwari
- Training level: Beginner to advanced
- Training duration: 16 hours and 53 minutes
- Number of lessons: 139
Course headings
Complete Databricks & PySpark Bootcamp: Zero to Hero Course Prerequisites
- No prior Databricks experience required — we start from the basics
- A basic understanding of SQL will be helpful (SELECT, JOIN, GROUP BY)
- Enthusiasm to learn Data Engineering
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: None
Quality: 720p
Download link
Downloady
Rapidgator link
File(s) password: www.downloadly.ir
File size
8.2 GB
