Microsoft Reactor

After hosting a successful 3-day event at the Microsoft Auckland offices, The Reactor Sydney has teamed up with some great presenters from all over New Zealand. Over the next 5 weeks our MVPS will bring to you content from a wide range of expertise, delivered to you livestreamed and on demand.

Your Speakers

Indira Bandari
Indira is a Microsoft Data Platform MVP in New Zealand. She has a Masters degree in Statistics and is passionate about data, analytics and Artificial Intelligence. She is a Senior Consultant, an international speaker, mentor and part time trainer with over 18 years of experience in designing and developing data warehouses and analytical solutions.
Volunteering and sharing her knowledge is her passion. In her pass time, she runs free game development classes, database concepts and data visualization classes for 9-16 year old kids.
She is a Director at KidsTech Charitable Trust. She is also a Co-organiser for Data, Insights and Power BI User Group , Auckland AI Meetup Group.

Shaifali Kanojia
Shaifali has a master’s degree in Econometrics and is working as a Business Analyst (Data Engineering) at TVNZ. She is a keen learner of best practices to improve business intelligence projects. She is keen to give back to the community what she has learnt.

Event Description:
Deploying Power BI in an enterprise is complex but with best practices it can be a success. In this session you will learn about the recently introduced feature -- Datamarts. You will also learn about Power BI Premium, dataflows and deployment pipelines Power BI premium enables you to manage enterprise reports life cycle in Development, Test & Production using deployment pipelines in Power BI service

This Session will help you to get an understanding of what Power BI Premium is, an overview of Datamarts and dataflows. This session will also help you in understanding the power bi deployment lifecycle.

Additional Resources:

Licensing:
https://aka.ms/Licensing1

Power BI premium:
https://aka.ms/powerbipremium

Data Marts:
https://aka.ms/datamarts1
https://aka.ms/datamartsoverview

Data flows:
https://aka.ms/dataflowintro
https://aka.ms/dataflowprocess

Deployment Pipelines:
https://aka.ms/pipelineoverview
https://aka.ms/pipelineprocess