9 Data access and security
This chapter covers
- Appreciating how data from the data platform is consumed
- Comparing cloud-native data warehouse offerings
- Using cloud-native services for data access patterns for applications
- Simplifying the machine learning lifecycle
- Understanding the basics of a cloud security model
In this chapter we acknowledge that the primary reason for developing a data platform is to cost effectively and securely make data available to data consumers—at scale. While throughout this book we have assumed that your data platform will include a data warehouse to support users who access data via business intelligence (BI) tools or by running SQL queries directly, this isn’t the only way data will be accessed.
Increasingly, ...
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