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9 – Choose the best-performing storage solution - Data Analytics Lens

9 – Choose the best-performing storage solution

PDFRSS

How do you select the best-performing storage options for your workload?

An analytics workload’s optimal storage solution is influenced by several factors such as:

  • Compute engine (Amazon EMR, Amazon Redshift, Amazon RDS, and so on)

  • Access patterns (random or sequential)

  • Required throughput

  • Access frequency (online, offline, archival)

  • CRUD (create, read, update, delete) operation requirements

  • Data durability requirements

  • Archival requirements

Choose the best-performing storage solution for your analytics workload’s own characteristics.

ID Priority Best practice

☐ BP 9.1

Highly recommended Identify critical performance criteria for your storage workload.

☐ BP 9.2

Highly recommended Identify and evaluate the available storage options for your compute solution.

☐ BP 9.3

Recommended Choose the optimal storage based on access patterns, data growth, and the performance requirements.

For more details, refer to the following information:

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