Data Engineering at Rittman Mead
The platform needs to facilitate integrating new data, ad hoc queries, and visualization to accelerate human understanding. As valuable insights emerge from this platform, they become the requirements for changes to production systems and processes.
Thomas H. Davenport • Big Data at Work: Dispelling the Myths, Uncovering the Opportunities
Traditional ETL solutions are still quite powerful when it comes to:
- Common connectors with small-medium data volumes : we still have a lot of respect for companies like Fivetran, who have really nailed the user experience for the most common ETL use cases, like syncing Zendesk tickets or a production Postgres read replica into Snowflake. The only
Why you should move your ETL stack to Modal
Groovy Datasets for Test Databases - Redis
redis.io
Company B] re-invents business intelligence. Our modern data discovery platform takes a markedly different approach to analytics. Because it operates in-database, all your data is inherently drillable and explorable.”
Martina Lauchengco • Loved: How to Rethink Marketing for Tech Products (Silicon Valley Product Group)
Pool
pooldata.io
Although the data integration platform Company B selected was an established and widely adopted product, the process for obtaining architectural approval and