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Owen Rodriguez
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The blog didn't cover the deployment part in detail. Otherwise, it's very well-written.
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Monitor performance of the model.
Outlier detection seems to be one of the most debated topics in feature engineering.
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Analyze and evaluate feature engineering concepts (for example, binning, tokenization, outliers, synthetic features, one-hot encoding, reducing dimensionality of data).
Fantastic compilation of information here!
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Understanding the differences between licensing strategies (for example, Bring Your Own License [BYOL] model compared with included licenses)
For those implementing multicast in hybrid environments, be cautious about latency between on-prem and AWS.
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Implementing a multicast capability within a VPC and on-premises environments
Fantastic post! Helped me clear a lot of doubts regarding hybrid connectivity.
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Designing a redundant hybrid connectivity model with AWS services (for example, AWS Direct Connect, AWS Site-to-Site VPN)
Clear and concise content on network ACLs!
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Layer 2 and layer 3 (for example, VLANs, IP addressing, gateways, routing, switching)
How does Amazon Macie compare with traditional DLP solutions in terms of scalability?
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Automating the discovery of sensitive data at scale (for example, Amazon Macie)
This was so helpful, thank you!
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Defining groups, users, custom policies, and managed policies in compliance with the principle of least privilege
I found the post useful, but it would be great to include more examples.
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Service maps in AWS X-Ray
Amazon Data Lifecycle Manager can help in automating EBS snapshots, but what about cost implications?
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Automate snapshots and backups based on use cases (for example, RDS snapshots, AWS Backup, RTO and RPO, Amazon Data Lifecycle Manager, retention policy).
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