Kafka in the Cloud: Why it’s 10x better with Confluent | Find out more
Do you have downstream data analytics or engineering teams making their own versions of customer, product or sales tables before cleaning the data and applying custom aggregations using expensive warehouse compute?
Is your organization struggling with dealing with redundant datasets and poor data quality in your Snowflake data warehouse or Delta lake?
Are you trying to optimize soaring data warehouse and data lake costs? Or drowning in data from slow, batch based ETL and ELT pipelines but thirsty for insights?
It's time to “Shift Left"!