Part 6/11:
Complex architectures hinder broad adoption. Organizations are prioritizing simplified pipelines for AI, leveraging open, future-proof platforms that facilitate multiple engines and integrations. Open formats like Iceberg ensure flexibility and vendor neutrality.
2. Productivity and Developer Efficiency
Reducing operational overhead is critical. Declarative and serverless paradigms—such as Snowflake’s dynamic tables—allow data teams to create pipelines with minimal code. Data sharing capabilities further reduce the need for complex ETL pipelines by enabling direct access and collaboration across platforms like Salesforce and ServiceNow.