Data Preparation for Modern BI: Common Design Patterns
If you want to be successful in analyzing big data to mine it for insights that will move the needle for your business, then the data you’re analyzing needs to be clean, organized, detailed and well-understood.
Data preparation has changed.
With big data, data preparation requirements have expanded beyond the scope of standard self-service data prep. It's also different from the relatively simple process of extract, transform and load (ETL).
Download your white paper to learn about:
- Eight repeatable design patterns for common big data prep scenarios
- Use cases around data preparation
- How to make your data preparation more actionable
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