Best Practices to Migrate to a Cloud MDM Solution – Step 3 – Execution
In this blog series, we’ve explored Step 1 – Planning and Step 2 – Expertise. Now it’s time to talk about execution. Let’s put that plan and expertise to work.
Snowflake is a market leader in the cloud data warehouse and data lakehouse space. But simply putting all your data in one lakehouse doesn’t mean it’s ready for AI. Data must be improved, matched, linked, governed and put in context for each AI use case.
Q Spark Group are experts in improving data lakehouse and data engineering programs. We focus on delivering these solutions within Snowflake’s AI Data Cloud:
In this blog series, we’ve explored Step 1 – Planning and Step 2 – Expertise. Now it’s time to talk about execution. Let’s put that plan and expertise to work.
Modern MDM solutions have impressive Data Quality functionality. But do they have impressive data quality? Maybe it’s time for their relationship to evolve.
Governing data and AI together is better than governing data and using it for AI. It’s required for compliance. It’s necessary for customer relationship management.
Q Spark specializes in delivering best-in-class data management solutions within your Snowflake AI Data Cloud. We can deploy and manage Snowflake, as well as deliver catalog, governance, curation, data quality, MDM entity matching, data sharing and preparation solutions. Let us know your area of interest and we will provide you with more information on our solution offerings.
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