Session Outline
What does automation look like in your organization? Does your data platform have automatic documentation, with end-to-end data lineage? Test automation? Automatic performance optimization? Ability to swap between cloud storage technologies for best price-performance without rewriting code? Is your metadata ready for Data Fabric?  
We explain the various stages of the data automation maturity ladder, from ad hoc frameworks to ready automation software, and how automation as software can boost the value of your data platform.
Key Takeaways:
- Understanding maturity levels of data automation
- Understanding the tradeoffs of different technology and tool choices
- Modern data platforms lack necessary data automation and data governance
- Data automation as software makes your developers 4x productive and enables governance
- Understanding additional benefits of metadata-driven automation
- Metadata-driven data automation enables DataOps and Data Fabric
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