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Introduction¶ In today’s dynamic business environment, downtime caused by software, infrastructure, or operational disruptions can have severe implications for organizations. This is especially true for businesses with mission-critical applications that require robust resilience measures. AWS Resilience Hub is a powerful tool offered by Amazon Web Services (AWS) that helps customers define, test, and track the …

AWS Resilience Hub: Expanding Support for Customer Compliance with ISO and SOC Read More »

Data preparation plays a crucial role in the machine learning (ML) workflow, involving the aggregation, analysis, and transformation of large amounts of data. However, this process can be extremely time-consuming. Recognizing this challenge, Amazon SageMaker Canvas has introduced support for comprehensive data preparation capabilities. This new feature allows customers to efficiently analyze, clean, and transform …

Amazon SageMaker Canvas: Comprehensive Data Preparation Capabilities Read More »

Table of Contents¶ Introduction What is AWS Compute Optimizer? The Importance of Filtering Recommendations How to Filter Recommendations by Tags 4.1. Step 1: Accessing the Compute Optimizer Console 4.2. Step 2: Filtering Recommendations by Tags Commonly Used Tags for Filtering Recommendations 5.1. Tag Key: Business Unit 5.2. Tag Key: Environment Benefits of Filtering Recommendations by …

AWS Compute Optimizer Guide: Filtering Recommendations by Tags in AWS GovCloud (US) Read More »

Introduction¶ In today’s fast-paced world, building resilient workflows to orchestrate services in your applications can be a complex task. However, with the introduction of AWS Step Functions, this process has become much simpler. AWS Step Functions is a visual workflow service that can orchestrate over 12,000 API actions from more than 220 AWS services, making …

AWS Application Composer announces AWS Step Functions Workflow Studio integration Read More »

Introduction¶ AWS Glue Data Catalog is a powerful service that provides a unified metadata repository for managing and discovering datasets in AWS. It simplifies the process of cataloging, organizing, and searching for data, making it easier for data engineers, data analysts, and data scientists to collaborate and access the data they need. In this comprehensive …

AWS Glue Data Catalog: A Guide to Multi-Engine Views Read More »

Introduction to Amazon Redshift and Table Optimization Understanding Multidimensional Data Layouts Benefits of Multidimensional Data Layouts How Multidimensional Data Layouts Improve Query Performance Enabling Automatic Table Optimization in Amazon Redshift Configuring Multidimensional Data Layouts for Your Tables Best Practices for Using Multidimensional Data Layouts Monitoring and Troubleshooting Multidimensional Data Layouts Limitations and Considerations of Multidimensional …

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Introduction¶ Amazon Web Services (AWS) provides customers with a wide range of choices when it comes to Amazon EC2 instance types. With over 750 options available, it can be overwhelming for customers to select the best instance type for their specific workloads. This is where Amazon Q comes into the picture. In this guide, we …

Guide to Optimizing EC2 Instance Type Selection with Amazon Q Read More »

Introduction¶ In today’s increasingly data-driven world, organizations are constantly looking for ways to extract valuable insights and gain a competitive advantage. This is especially true for contact centers, where customer interactions can provide a wealth of information about customer satisfaction, operational efficiency, and overall business performance. Amazon Connect, Amazon’s cloud-based contact center service, offers a …

A Comprehensive Guide to Amazon Connect’s Zero-ETL Analytics Data Lake Read More »

Table of Contents¶ Introduction Understanding AI Recommendations in Amazon DataZone Benefits of AI Recommendations for Data Consumers Enhancing Data Discoverability with AI Recommendations The Role of AI in Data Analysis Leveraging Auto-generated Descriptions for Richer Search Experience Techniques Used in Generating AI Recommendations Potential Use Cases for AI Recommendations in Amazon DataZone Technical Considerations for …

AI Recommendations for Descriptions in Amazon DataZone Read More »

Introduction¶ In today’s fast-paced world, businesses are constantly looking for innovative solutions to enhance their customer interactions and streamline their contact center operations. Understanding the importance of customer feedback and conversations, Amazon Web Services (AWS) has developed an advanced AI-powered tool, called Amazon Connect Contact Lens. This revolutionary tool offers generative AI-powered post-contact summarization, enabling …

Amazon Connect Contact Lens: A Comprehensive Guide to Generative AI Powered Contact Summarization Read More »