Chapter 11: Lakehouse Deployment

Chapter’s Summary

Principle	Description	Exceptions
Modular Design	Design applications with modular components for better scalability and maintainability.	Legacy systems not conducive to modularization.
User-Centric Design	Focus on user needs with intuitive interfaces and functionalities.	Back-end systems with minimal user interaction.
Continuous Integration/Continuous Deployment (CI/CD)	Ensure continuous and automated integration and deployment of application updates.	Systems where manual deployment is necessary due to security or regulatory reasons.
Data Integrity	Maintain accuracy and consistency of data throughout its lifecycle.	Scenarios requiring eventual consistency due to real-time processing.
Data Privacy	Protect sensitive data through encryption and access controls.	Public datasets not containing sensitive information.
Data Democratization	Make data accessible and understandable to non-technical stakeholders for informed decision-making.	Restricted or sensitive data requiring limited access.
Automation	Automate operational processes to improve efficiency and reduce error.	Critical tasks requiring direct human oversight.
Continuous Monitoring	Monitor systems continuously to proactively address performance and security issues.	Non-critical systems where periodic monitoring is sufficient.
Elastic Scalability	Design systems to scale resources up or down based on demand.	Fixed-capacity systems where scalability is not required or possible.
Least Privilege	Grant minimum necessary access for users and systems to perform a function.	Situations requiring temporary elevated privileges.
Defense in Depth	Implement multiple layers of security controls.	Small-scale or internal applications with limited exposure.
Zero Trust Security	Assume no implicit trust and verify every access request, irrespective of location.	Environments where zero trust implementation is not feasible.
Infrastructure as Code (IaC)	Manage and provision infrastructure through code for consistency and repeatability.	Scenarios where manual configuration is mandated.
Cloud-Native Design	Design solutions optimized for cloud environments, leveraging cloud-specific capabilities.	On-premises or legacy systems not supporting cloud-native features.
Strategic Alignment	Align IT initiatives with business goals and strategies.	Projects with independent or experimental objectives.
Compliance and Regulatory Adherence	Adhere to relevant laws, regulations, and industry standards.	Areas with no specific compliance requirements.
Sustainability in Design	Incorporate eco-friendly and sustainable practices in technology design and deployment.	Scenarios where green technologies are not yet feasible.
Cross-Functional Collaboration	Promote collaboration across different departments for comprehensive solutions.	Highly specialized tasks requiring focused expertise.
Resilience and Disaster Recovery	Design systems to withstand failures and recover quickly from disasters.	Non-critical systems where high availability is not a primary concern.
Innovation and Experimentation	Encourage innovation and experimentation to foster new ideas and solutions.	Strictly regulated environments where experimentation is limited.

Structured approaches for Product Managers and Business Analysts

The deployment of a lakehouse data platform and encompasses aspects like phased rollout, user onboarding, CI/CD pipelines, data source integration, and change management, here are proposed epics and their respective features for the roles of a Product Manager and a Business Analyst.

Epic: Phased Rollout of Data Lakehouse

Feature Title	Goal
Proof of Concept (PoC) Development	To validate the feasibility of the lakehouse architecture for specific business needs and technical requirements.
Pilot Implementation Planning	To evaluate the lakehouse in a quasi-real-world environment with expanded data sources and use cases.
Staged Deployment Strategy	To gradually deploy the lakehouse across departments, mitigating risks and allowing for feedback-driven adjustments.
Full-Scale Production Deployment	To achieve organization-wide deployment of the lakehouse, fully integrated into the business’s data strategy.

Epic: User Onboarding and Adoption

Feature Title	Goal
User Training and Support Programs	To facilitate smooth transition to the new system by providing comprehensive training and support.
Feedback Mechanisms and Continuous Improvement	To gather user feedback for ongoing improvement of the lakehouse platform.
Adoption Tracking and Incentivization	To monitor platform usage and incentivize desired user behaviors.
Role-Based Access and Customization	To tailor the lakehouse experience to different user roles and needs.

Epic: CI/CD and Infrastructure Automation

Feature Title	Goal
Implementing CI/CD Pipelines	To automate testing and deployment processes for rapid and reliable updates to the lakehouse.
Infrastructure as Code (IaC) Integration	To streamline provisioning and management of lakehouse infrastructure using code.
Continuous Monitoring and Logging	To ensure the health and performance of the lakehouse through proactive monitoring.

Epic: Data Source Integration and Pipeline Efficiency

Feature Title	Goal
Data Source Auditing and Prioritization	To identify and categorize data sources based on their value and relevance to the organization.
Robust Data Ingestion Pipelines	To establish efficient and reliable data ingestion methods tailored to the lakehouse.
Ensuring Data Quality and Governance	To maintain high standards of data quality and adhere to governance practices across all pipelines.

Epic: Change Management and Organizational Alignment

Feature Title	Goal
Developing a Comprehensive Communication Plan	To keep all stakeholders informed and aligned with the lakehouse deployment process.
Executive Engagement and Alignment	To secure and maintain leadership support for the strategic direction of the lakehouse initiative.
Change Impact Analysis and Management	To understand and manage the impacts of the lakehouse deployment on existing workflows and processes.

Tables represent structured approaches for Product Managers and Business Analysts to develop and track significant components of the lakehouse deployment project, aligning with the overarching goals of each epic.

Disclaimer

The views expressed on this site are personal opinions only and have no affiliation. See full disclaimer, terms & conditions, and privacy policy. No obligations assumed.