Why a Playbook

BDB is a Modern (microservices-based) end-to-end data analytics and AI platform. Its Agentic flow seamless integration with any LLMs and Gen AI-based UI makes it a compelling modern data analytics software to look for. Its Medallion Architecture ensures the successful delivery of the Analytics project. While doing the implementations in the last 25 years, our core engineering + professional services team has found out following:

• Customers take time to implement end-to-end features, and today's Data professionals lack the experience from Data warehousing to Generative AI.

• Feedback from BDB partners and customers to have a playbook outlining the core BI principles and how they are implemented on BDB by its core architects will guide the professional services teams of Partners and Customers.

• There will be examples of Playbook implementation in various industries to give practical tips to data professionals.

• This should guide data professionals to complete the requirements mentioned in the template.

• Scalability of BDB usage in India and around the world – making this playbook accessible to Students and Data professionals across the world will be important as BDB needs to scale fast.

​Examples of Inline Metrics to Capture

Category	Example Metrics
Data Volume	Total rows, rows per partition, bytes read/ written
Data Quality	Null % distinct counts, min/ max values
Performance	Execution time per stage, shuffle size, spill counts
Skew & Distribution	Records per key, partition size variance
Operational	Input/ output timestamps, job ID