Migrate your Legacy DW System to
AZURE or AWS

Migrate and Modernize your on-premise Legacy Data Warehouse

The Legacy DW MIGRATION

As organizations explore migrating from an on-prem legacy EDW to a modern DW platform like Snowflake, Databricks or Microsoft Fabric consider a PILOT Migration of a smaller workload. Planning your migration involves lowering risk, time-to-market and showing immediate value to the end-users. Migrating your on-prem legacy DW environment as-is to the cloud is like a forklift: your organization can minimize code changes and move off the current platform. This allows organizations to carefully plan the second phase of the migration and prioritize which workloads to optimize first, identify which applications can be decommissioned, and which workloads and applications are more complex to convert to another RDBMS.

Legacy DW EDW Migration

Legacy DW Migration Assessment for AZURE and AWS provides answers to complex questions about the on-prem Legacy DW environment: Which workloads should migrate first? Which Workloads are integrated? Which workloads are not being used? What will the impact of the migration be to business users? What options do I have if I am on an unsupported version of a Legacy DW? Do I need to do a multi-step migration before final modernization on Snowflake, Redshift or Fabric?

  • Understand your current Legacy DW TCO and Workloads
  • Determine Migration options and future roadmap
  • What data ingestion options are available
    • Legacy DW migration to Snowflake, Redshift, Databricks or Fabric
    • ETL Migration to the Cloud
Find Out More
DataLake Labs Cloud Migration and Planning

We offer a complete analysis of your current ecosystem: database and ETL, build the future state architecture on public cloud, identify migration blockers and remediation, and provide a detailed migration plan, including a seed migration of a protion of your production data.

Evaluate your Options

Whether it is a lift and shift of your current database and ETL, or a rearchitecture of your existing data pipeline, or building a modern "Lake first" architecture, we can help you evaluate pros and cons of each option before you migrate to the cloud. We provide a complete overview of options based on your requirements.

Cloud Consumption

An efficiently managed system in the cloud should not only provide cost savings, but also provide scalability options when you need to complete complex workloads requiring more compute power. Our consumption analytics dashboard help you manage your Snowflake or Legacy DW Fabric on AWS and Azure

Why DataLake Labs?

DataLake Labs was founded by Sharif Islam who has worked as a Sales Leader with several fortune 500 companies.

Have Question on how to migrate your legacy EDW platform?

Contact us 

email: sharif@datalakelabs.com

Connect with me on LinkedIn