About us
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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
1
đș How to Transition into Data Engineering Using Real Azure & Databricks Project
·OnlineOnlineđșFrom SQL to Data Engineering: What It Actually Takes (Live Session)
Thinking about transitioning into Data Engineering⊠but not sure where to start?
Most people:
Learn tools
Watch tutorials
Build small projectsBut still struggle to answer:
đ âCan you design and build a real data pipeline?â
đIn This Live Session, Iâll Walk You Through:
What companies actually expect from Data Engineers
A real end-to-end pipeline (Bronze â Silver â Gold) built using Databricks & Azure
The gap between âlearningâ and âgetting hiredâ
Common mistakes that slow people down
đWho This Is For:
SQL Analysts looking to move into Data Engineering
Data professionals stuck at the âlearning stageâ
Anyone curious about Databricks, PySpark, and cloud pipelines
đWhat Youâll Leave With:
A clear roadmap to transition into Data Engineering
Understanding of what real-world projects look like
Whether this path is right for you
đ©đœâđ» About the Host
Hosted by Joy Onuoha, a Data Professional specialising in:
Databricks & PySpark
Azure Data Engineering
End-to-end pipeline developmenthttps://www.linkedin.com/in/joy-onuoha-ebedo-221aa0172?
đ© Next Steps
At the end of the session, Iâll share how you can build this type of project step-by-step with guidance â if you decide itâs the right fit.
(No pressure â this session is designed to give you clarity first.)
37 attendees
Past events
23
