Establishing AI agent for self-service analytics running with Databricks: what enterprises can leverage to make it ๐ฟ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ๐ ๐ต๐ถ๐ด๐ต๐น๐ ๐ฎ๐ฐ๐ฐ๐๐ฟ๐ฎ๐๐ฒ ๐ฎ๐ป๐ฑ ๐ถ๐ป๐๐๐ฎ๐ป๐?
โน๏ธ The foundations: Your scalable data platform, where data being integrated and optimized through layers for refinement and governance.
โ๏ธ ๐๐ณ๐ฐ๐ฏ๐ป๐ฆ ๐ญ๐ข๐บ๐ฆ๐ณ: The foundational entry point where data from various sources is ingested and stored "as-is".
โ๏ธ ๐๐ช๐ญ๐ท๐ฆ๐ณ ๐ญ๐ข๐บ๐ฆ๐ณ: An intermediary layer integrating raw data from the bronze layer and cleaning, transforming, standardizing it so it's trustworthy and ready for business-level analysis.
โ๏ธ ๐๐ฐ๐ญ๐ฅ ๐ญ๐ข๐บ๐ฆ๐ณ: Business-friendly layer where data is stored domain-specific. ๐๐ถ๐บ๐ฒ๐ป๐๐ถ๐ผ๐ป๐ฎ๐น ๐ฑ๐ฎ๐๐ฎ ๐บ๐ผ๐ฑ๐ฒ๐น๐ถ๐ป๐ด is highly recommended to simplify sharing and retrieval by aligning data directly with how consumers naturally ask questions, allowing for much ๐ณ๐ฎ๐๐๐ฒ๐ฟ ๐ฟ๐ฒ๐๐ฝ๐ผ๐ป๐๐ฒ๐.
โ๏ธ ๐๐ฆ๐ฎ๐ข๐ฏ๐ต๐ช๐ค ๐ญ๐ข๐บ๐ฆ๐ณ: The translation hub provides a unified business view of data across organization. This's where your Intelligent Analytics agent (and other consumer apps) prioritizes to connect for contexts & metrics. Acting as source of truth to provide accuracy & reliability. The complexity and performance of semantic definitions are heavily derived from the Gold layer: Less joins and clear attributes are desired.
โน๏ธ Genie Spaces: Your Intelligent Analytics agent, where consumers ask natural-language questions for visual insights
โน๏ธ Instructions for Genie Spaces: Your Agent Skills, where additional configurations can be added to guide Genie Spaces on how to behave through ambiguous data, vague requests, or what the outcome looks like.
Happy to discuss further on how to engineer a data platform for intelligent analytics!
My Linkedin: https://www.linkedin.com/in/quoc-n
