Deployment stack (architectures)

planning phase and conduct online research to investigate the requirements for setting data science technology stack and create a PowerPoint presentation that highlights your findings.
Specifically, make sure the following areas are discussed in your presentation:
Available data warehousing and storage technologies
Tools used for Extraction, Transformation, and Loading (ETL)
Technologies that support Business Intelligence
Visualization tools
Machine Learning and Analytics Implementation Frameworks
Deployment Stack (architectures)
Common data science technology use case scenarios
Discuss the implications of a poorly designed and managed data science technology stack on data science democratization initiatives and planning. Length: 12-15 PowerPoint slides with notes (200-350 words per slide), not including title and references slides
References: Include a minimum of 5 scholarly references

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