
What weâre about
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đș Azure Databricks in 60 Days for Data Scientists, Engineers, and Analysts
đThe 60-Day Learning Objective
â Hands-on Databricks workflows
â Data pipeline Automation/Engineering
â Performance tuning & cost-saving tricks
â Machine learning & real-time analytics
â Governance & security best practices
đ Day 1: Databricks is Everywhere â Should You Care?
Databricks isnât just a buzzwordâitâs 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.
đ Why Databricks?
â Built on Apache Spark â Forget slow SQL queries. Spark distributes processing across multiple machines, speeding up your work.
â Cloud-Native â Works seamlessly across Azure, AWS, and GCP.
â Unified Data Workflows â Manage ETL, analytics, and ML in one platform.
â Cost-Effective â Pay only for the compute you use, optimizing your budget.
đ If youâre serious about handling big data and analytics, you canât afford to ignore Databricks.Linkedin
Upcoming events
3
âąOnlineData Engineering on Azure Databricks & Cloud Storage Setup)
OnlineJoin our interactive WhatsApp community
WhatsAppđ 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 youâll learn how to design, develop, and automate data engineering workflows using Azure Databricks and Cloud Storage (ADLS/S3).
This isnât another passive course. Youâll actually build:
A Bronze â Silver â 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.
đ What Youâll 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.
đ 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.
đ Outcome
By the end of this workshop, youâll 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?
35 attendees
âąOnlineAzure Databricks Platform & cloud storage (Setup)
OnlineJoin our interactive WhatsApp Community
WhatsAppGetting Started â 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?
18 attendees
Past events
19
