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
IT managers who seek to migrate their data environments to Azure
Data Engineers and DBA
Business users who are planning or at a discovery stage to migrate database to Azure
Business users looking for an Azure database migration plan
Outcome Of The Workshop
Azure Database Migration plan
Identify and prioritize data workloads that can be migrated to Azure.(Identify pilot workload)
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 AM||Data Migration and Modernization – Why , What and How ?|
|10:00 AM – 11:00 AM||Lab 1 – Migration Discovery , Analysis and Define phase|
|11:00 AM – 11:15 AM||Break|
|11:15 AM – 11:45 AM||Lab 2 – Execution of Migration using SSMA|
|11:30 AM – 12:30 PM||Lab 2 – Validation – Post Migration and Reports|
|12:30 PM – 1:30 PM||Break|
|Day 1 – Afternoon|
|1:30 PM – 2:15 PM||Walkthrough of Acuvate’s Data migration accelerator. Discussion and assessment on 10-day Pilot workload identification.|
|2:15 PM – 3:15 PM||Lab 3 – Schema migration – Initial and Incremental load|
|3:15 PM – 3:30 PM||Break|
|3:30 PM – 4:15 PM||Lab 4 – Validation – Post migration and reports|
|4:15 PM – 5:00 PM||Best practices for Data migration|