Need Of The Workshop

Organizations with a large and complex data estate have hesitated to migrate to the cloud due to risk of data loss, cost, lengthy timelines of migration and fear of failure.

This workshop demonstrates the ease and trustworthiness of Microsoft and Acuvate’s Data Migration frameworks, tools and accelerator with a sample data workload migrated from your organization

According to Gartner,75% of databases will be in the cloud by 2022.

Gartner goes on to add that the main driver for migrating data to the cloud is to
capture superior analytics and to take advantage of the pay as you go model.

35 % of organizations cite insufficient tools or technology as their primary challenge

35 % of organizations lack adequate in-house skills/knowledge

Who Can Attend

Are Currently Evaluating The Power Platform Icon

IT managers who seek to migrate their data environments to Azure

Seek To Understand The Value Of Powerapps Icon

Data Engineers and DBA

Have Deployed The Power Platform Icon

Business users who are planning or at a discovery stage to migrate database to Azure

Experienced Powerapps Partner

Business users looking for an Azure database migration plan

Outcome Of The Workshop

Plan With Timelines Icon

Azure Database Migration plan

Identify Risks And Mitigations Icon

Identify and prioritize data workloads that can be migrated to Azure.(Identify pilot workload)

Recommendations Icon

End to end process understanding for migration using Microsoft and Acuvate’s tools.

Agenda(Day-1) & Pre-requisites :: Power Bi Workshop

Agenda (Times are approximate and will be fluid with the class)

Day 1 – Morning 
09:00 AM – 10:00 AMData Migration and Modernization – Why , What and How ?
10:00 AM – 11:00 AMLab 1 – Migration Discovery , Analysis and Define phase
11:00 AM – 11:15 AMBreak
11:15 AM – 11:45 AMLab 2 – Execution of Migration using SSMA
11:30 AM – 12:30 PMLab 2 – Validation – Post Migration and Reports
12:30 PM – 1:30 PMBreak
Day 1 – Afternoon 
1:30 PM – 2:15 PMWalkthrough of Acuvate’s Data migration accelerator. Discussion and assessment on 10-day Pilot workload identification.
2:15 PM – 3:15 PMLab 3 – Schema migration – Initial and Incremental load
3:15 PM – 3:30 PMBreak
3:30 PM – 4:15 PMLab 4 – Validation – Post migration and reports
4:15 PM – 5:00 PMBest practices for Data migration

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