Migrating your existing Data Warehouse to a new platform can potentially be a risky, expensive, time consuming, manual, and error-prone exercise, which can have a dramatic effect on achieving time to value, business user satisfaction, and return on investment (ROI) objectives.
How does Lift 'n' Shift Data Warehouse Migration Work?
Smart Associates has an enviable track record of reducing the time to value for our customers when migrating from legacy Data Warehouse technologies to next generation hybrid, cloud, appliance, MPP, or open source databases.
That ís because rather than redoing everything from scratch, each time, for every customer - and charging for every hour spent doing so - instead we focus on encapsulating everything we've learnt along the way into a library of reusable methodologies, tools, and techniques to automate as much of the process as possible in a repeatable way.
This mature capability along with the breadth and depth of our database experience is what differentiates us from the competition, and what enabled us recently to migrate 30K+ objects and 120TB of SQL Server data to a PostgreSQL-based database in a matter of weeks; or run existing Teradata SQL scripts containing non-standard functions on Db2 without having to rewrite them first.
To give you peace of mind, our fully automated reconciliation and validation process will highlight any source and target discrepancies at the row or column level post-migration also.
We even have solutions for customers wanting to migrate from on premise to cloud-based offerings like Snowflake, without leaving behind any of their users, groups, permissions, or query workloads.
Whatever the technology, our goal is always the same: to help make our customers successful as quickly as possible.
And we'd like to do the same for you.
Lift 'n' Shift Data Warehouse Migration - Supported Platforms
Reusable migration templates and optimisations exist for the following specific source and/or target database platforms:
- PureData for Analytics/Netezza
- Microsoft SQL Server
- Db2 (including IIAS, Big Query, Db2 Warehouse on Cloud)
- Pivotal Greenplum
- Google Big Table
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