Azure Databricks in 60 days @ BricksHub

4.7•37 ratings

Manchester, GB

617 members · Public group

What we’re about

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🔺 Azure Databricks in 60 Days for Data Scientists, Engineers, and Analysts

📍The 60-Day Learning Objective

→ Hands-on Databricks workflows
→ Data pipeline Automation/Engineering
→ Performance tuning & cost-saving tricks
→ Machine learning & real-time analytics
→ Governance & security best practices

📍 Day 1: Databricks is Everywhere – Should You Care?

Databricks isn’t just a buzzword—it’s revolutionizing data engineering, data science, and analytics.

If you work with big data, streaming, or machine learning, Databricks is the platform you need to know.

📍 Why Databricks?

→ Built on Apache Spark – Forget slow SQL queries. Spark distributes processing across multiple machines, speeding up your work.

→ Cloud-Native – Works seamlessly across Azure, AWS, and GCP.

→ Unified Data Workflows – Manage ETL, analytics, and ML in one platform.

→ Cost-Effective – Pay only for the compute you use, optimizing your budget.

📍 If you’re serious about handling big data and analytics, you can’t afford to ignore Databricks.Linkedin

Upcoming events

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Sat, Oct 11 · 3:00 PM BST
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Azure Databricks Platform & cloud storage (Setup)
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Getting Started – Setting Up Your Databricks Workspace, Clusters & Azure Cloud Storage.
New to Databricks? Join our workshop and be running in no time!
- Guided setup of Databricks & cloud storage
- Overview of workspace & key features
- Get started with Databricks & cloud storage
- Understand platform navigation & basics
- Duration of 4 Weeks, once every Saturday or Sunday
With live expert coaching delivered via Zoom, you receive real-time guidance, feedback, and mentorship throughout your journey.

Follow me on LinkedIn for daily data insights:

https://www.linkedin.com/in/joy-onuoha-ebedo-221aa0172?
9 attendees
Sat, Oct 11 · 3:00 PM BST
•
Online
Data Engineering on Azure Databricks & Cloud Storage Setup)
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📍 From Zero to Automated Pipelines in 10 Weeks

Are you ready to go beyond theory and actually build end-to-end data pipelines on the cloud?

Join us for a hands-on workshop where you’ll learn how to design, develop, and automate data engineering workflows using Azure Databricks and Cloud Storage (ADLS/S3).

This isn’t another passive course. You’ll actually build:

A Bronze → Silver → Gold Medallion pipeline.

Delta Tables with real-time upserts, merges, and schema evolution.

Automated ingestion from on-prem sources to ADLS using ADF.

Batch & streaming pipelines with checkpointing and recovery.

CI/CD integration with GitHub Actions for deployment automation.

📍 What You’ll Learn

Setting up Databricks workspaces, clusters, and storage layers.

Delta Lake fundamentals (DDL, DML, MERGE, time travel).

Raw-to-clean data transformation and deduplication at scale.

Orchestrating pipelines across Bronze, Silver, and Gold.

Testing, CI/CD, and automated release strategies.

📍 Who Should Join?

Aspiring Data Engineers wanting to move from local to cloud pipelines.

Data Analysts & Scientists looking to upgrade into engineering roles.

Professionals who want to build job-ready projects for their portfolio.

📍 Outcome

By the end of this workshop, you’ll have built your own production-grade ETL pipeline from raw data ingestion to business-ready tables running entirely on Azure Databricks and cloud storage.

With live expert coaching delivered via Zoom, you receive real-time guidance, feedback, and mentorship throughout your journey.

Follow me on LinkedIn for daily data insights:

https://www.linkedin.com/in/joy-onuoha-ebedo-221aa0172?
39 attendees