Final answer:
Selecting a data warehouse involves analyzing data volume and analytics capacity, assessing integration with existing systems, and considering scalability, security, and cost implications for both short-term and long-term needs.
Step-by-step explanation:
When considering what are considerations when choosing a data warehouse, it's important to take into account several key factors. Data volume, speed of query response, and the specific analytical needs are crucial. For instance, if you're analyzing real estate data like house prices, you'll look at statistics such as the median price and price variation. Similarly, in a data warehouse, you'd need to ensure it can effectively process and analyze such data.
Consider the scalability of the platform, as the amount of data and number of users may grow over time. Assess how the data warehouse integrates with existing systems and tools that your organization uses and ensure there's adequate support and security features.Lastly, cost is also a significant factor. Besides the initial setup, consider the cost of maintenance and potential scalability. Align these costs with your organization's budget and long-term return on investment expectation.