To take advantage of modern data and analytics technology you must ensure you’re following best practices when designing architectures for analytics environments. As an AWS Premier Consulting Partner with the Data and Analytics Competency, ClearScale knows how to design, deploy, and architect your analytics applications for AWS.
Based on an assessment of your analytics workloads using five pillars of evaluation - operational excellence, security, reliability, performance efficiency, and cost optimization - ClearScale will cover one of the key scenarios common in many analytics applications:
- Data Lake
- Batch Data Processing
- Streaming Ingest and Stream Processing
- Lambda Architecture
- Data Science
- Multi-tenant Analytics
At the end of this free evaluation, you’ll come away with the guidance you need to build reliable, secure, efficient, and cost-effective analytics workloads in the cloud.
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