This Value Discovery Workshop provides estimates on cost & timeline for migrating SAS to Azure Data Factory / PySpark via a risk mitigated approach using Hexaware’s AMAZE®.
## Why Azure Data Factory Migration:
Enterprises are looking at moving on-premise ETL workloads to Azure cloud to get actionable business insights. Azure Data Factory (ADF) and PySpark are services that orchestrate and operationalize processes, which capture and refine raw data on Azure cloud to replace on-premises ETL workloads. Typically, this kind of a movement to ADF/PySpark brings 40%-50% savings on the license expenditure.
However, migrating to cloud itself can be cost-intensive, which typically eats into the ROI. Moreover, the risks associated with migrating to cloud may delay the process. Enterprises therefore value a solution which is cost-effective, follows a risk mitigated approach, and does so in a time bound manner.
## Hexaware’s Solution :
Hexaware’s AMAZE® carries out cost-effective re-platforming of SAS to Azure Data Factory / PySpark or re-pointing SAS to Azure Synapse in a timely manner. It ensures the best-fitment of on-premises ETL workloads along with its SQL scripts support while migrating to Azure Data Factory / PySpark.
## Agenda :
* Hexaware Overview
* Current & Target Technology State
* Assessment & Migration Plan
* Relevant Proof-points
Provide an estimate on the following:
* Cost of migration.
* Migration timeline.
* TCO savings.
* Risk mitigated approach for a successful migration.
## Who should participate?
CXO, VP and Director level stakeholders in Data & Analytics.