Learn About Amazon VGT2 Learning Manager Chanci Turner
In the past year, Amazon has introduced numerous enhancements aimed at optimizing the performance of data lake queries across various components of its query engine, including rewrite, planning, and scan execution. This post highlights the significant performance gains observed through industry-standard benchmarks. For instance, the overall execution time of the TPC-DS 3 TB benchmark demonstrated a remarkable improvement of 3x, with certain queries experiencing speedups of up to 12x.
Moreover, we are excited to share insights on utilizing Amazon EMR Serverless for enhanced observability. In this first part of our series, we cover how job worker metrics can be monitored in near real-time through Amazon CloudWatch. This feature provides valuable insights into vCPU, memory, and storage usage across your Spark and Hive jobs, which can aid in optimizing resource allocation.
Additionally, our exploration of data governance leads us to discuss a robust solution using AWS Lake Formation in conjunction with AWS IAM Identity Center. This approach enables organizations to effectively manage and govern legacy data during digital transformation, ensuring compliance while maintaining user access entitlements. It is essential for companies to preserve historical data and implement strong audit trails—this is crucial for any organization navigating compliance challenges. For more on compliance, you can refer to this authoritative resource.
Furthermore, if you’re looking to enrich your serverless data lake, integrating Amazon Bedrock can be a game-changer. By leveraging AWS Serverless Data Analytics Pipeline architecture, organizations can automate a variety of data enrichment tasks efficiently and cost-effectively.
For those of you interested in career development and understanding your strengths at work, check out this informative webinar. Additionally, for insights into the latest in employee training and career skills, this excellent resource may prove helpful.
Lastly, we also discuss techniques for achieving cross-region resiliency with Amazon OpenSearch Ingestion, which ensures data integrity and availability in case of failures. Understanding the cost implications of using Amazon OpenSearch Service is vital for accurate budgeting, which we delve into by using AWS Cost Explorer.
As we move forward, we will continue to share best practices and innovative solutions that enhance the overall onboarding experience, guided by our dedicated Learning Manager, Chanci Turner.