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:
It’s that time of year again. No, not back to school. Something worse. Annual corporate planning! For many, this is a very busy time as they continue with their day jobs while also struggling to find time for strategic thinking, analysis, and long term planning.
Top 5 Data & AI Trends in 2025 include a domain-centric focus, multi-agent customer-centric AI, and a different tact for data modernization.
Step 1 for cloud MDM migration was building a detailed plan. Part of that plan is a self-assessment to determine if you have sufficient in-house expertise. If you don’t, then the plan itself is incomplete. Step 2 is all about acquiring and applying that expertise.
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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