News from the Windy City: Maven Wave launched its “fixed price, fixed time” data migration offering this week during Google Cloud Summit Chicago.
The solution moves traditional on-premise data warehouse and data lake environments to a fully operational Google Cloud Platform (GCP) data platform with a predetermined cost and timeline. It includes a predefined GCP platform architecture, comprehensive migration plan and production GCP data platform with multiple data sources and dashboards.
Maven Wave employs several tools and best practices throughout its data migration initiatives, including:
- Holistic methodology
- A predefined future state platform
- A GCP cost calculator
- A data migration accelerator (optimizes migration from on-prem environments to the cloud, reducing development time by half or more!)
The data migration offering includes:
- Project management
- Design documentation
- GCP data analytics architecture
- Data models
- End-to-end testing
- Analytics dashboards
- Code management
- Production deployment
- Additional options such as training and ongoing management
- And more!
“Maven Wave has expertise in data migration that we’ve demonstrated through years of projects involving companies of all sizes, verticals and IT environments,” said Todd Truesdell, Managing Director, Data Analytics at Maven Wave. “Now, we’re packaging up our proven methodology, using a number of proprietary, time-saving accelerators and tools, to offer predictable cost and timeframe. Ultimately, these migrations help our clients improve IT performance, reduce operational costs, access GCP’s powerful analytics and technologies, and quickly deploy their own analytics.”
Maven Wave holds Google Cloud Partner Specializations in Data Analytics, Cloud Migration and Machine Learning, among its eight total specializations. The company has been named Google Cloud North America Services Partner of the Year for the past two years.
To learn more about Maven Wave’s Data Analytics offerings, click here. Follow Maven Wave on Twitter, Facebook and LinkedIn.
