Hadoop's early premise was big data stores should be largely schemaless and interpreted only at time of use. As organizations built data lakes around this approach, many fell to its hidden traps. In this article by Barry Devlin of 9Sight, you'll learn:
- Why data schema is important
- Differences between scheme-on-read vs schema-on-write
- Benefits of using an extended relational environment for today's data management needs
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