Introduction¶ In today’s data-driven world, businesses rely on actionable insights derived from databases to make informed decisions. However, extracting valuable information from massive datasets can be a time-consuming and error-prone task. To address these challenges, Amazon Redshift has introduced a powerful new feature called Amazon Q Generative SQL. Amazon Q Generative SQL leverages generative AI …

A Comprehensive Guide to Amazon Q Generative SQL in Amazon Redshift Query Editor Read More »

Introduction¶ Amazon Redshift, a fully-managed data warehousing service, has introduced a new feature – metadata security. This feature allows administrators to control the visibility of catalog data in a multi-tenant environment based on user roles and permissions. With metadata security, users can only access the metadata for databases, schemas, tables, and views that they have …

Guide to Using Metadata Security in Amazon Redshift for Multi-Tenant Applications Read More »

Introduction¶ In today’s data-driven world, businesses rely heavily on analyzing vast amounts of data to gain insights, identify trends, and make informed decisions. Amazon OpenSearch Service is a powerful solution that allows customers to build, manage, and scale their own search capabilities. Many customers also use Amazon S3 as a cost-effective storage solution for infrequently-accessed …

Amazon OpenSearch Service zero-ETL Integration with Amazon S3 Read More »

Introduction¶ In today’s digital era, enterprises rely heavily on cloud infrastructure to power their critical workloads and applications. However, ensuring the availability and resilience of these workloads is crucial to avoid disruptions and maintain seamless operations. AWS, being a leading provider of cloud services, has launched the AWS Resilience Competency program. This comprehensive guide explores …

AWS Resilience Competency Partners: A Guide to Enhancing Availability and Resilience in the Cloud Read More »

Introduction¶ In today’s data-driven world, data scientists are constantly looking for efficient ways to analyze and process large datasets. Amazon SageMaker provides a powerful platform for building, training, and deploying machine learning models. One of the key components of SageMaker is the notebook, which allows data scientists to create and execute interactive code for data …

Guide to Creating Amazon SageMaker Notebook Jobs with API Support Read More »

Introduction¶ In today’s digitally-driven era, downtime can be disastrous for businesses. Even a few minutes of service interruption can lead to severe financial losses and a damaged reputation. To mitigate such risks, it is crucial to have robust disaster recovery strategies in place. Amazon Web Services (AWS) understands this need and has introduced a groundbreaking …

Amazon Route 53 Application Recovery Controller launches zonal autoshift Read More »

Introduction¶ Containerization has become a popular solution in modern software development, enabling developers to package applications and their dependencies into lightweight, portable containers. However, with the rise of container usage, security concerns have also increased. Vulnerabilities in container images can result in devastating consequences, including data breaches, unauthorized access, and service disruptions. To address these …

A Comprehensive Guide to Enhancing Container Image Security with Amazon Inspector Read More »

Introduction¶ Application resilience is a critical aspect of modern software development. With the increasing reliance on cloud infrastructure, it is crucial for organizations to ensure their applications can withstand potential failures and disruptions. To address this need, Amazon Web Services (AWS) has introduced an innovative solution called AWS Fault Injection Service. This service empowers developers …

AWS Fault Injection Service: Unleashing the Power of Scenario Testing for Improved Application Resilience Read More »

Amazon SageMaker Studio is a fully integrated development environment designed specifically for machine learning (ML) tasks. It provides a rich set of tools and features to streamline the ML development process, making it easier for ML teams to collaborate and accelerate the pace of innovation. One of the recent additions to SageMaker Studio is the …

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Table of Contents 1. Introduction 2. Amazon SageMaker Studio Overview 3. Pre-configured SageMaker Distribution 4. Launching Fully Managed JupyterLab 5. Generative AI-powered Coding Companions 6. Scaling Compute Resources 7. Persisting Packages with Custom Conda Environments 8. Customizing JupyterLab with Custom-built Images 9. Advanced Features and Functionality 10. Security and Compliance 11. Conclusion 1. Introduction¶ Amazon …

Ultimate Guide to Amazon SageMaker Studio: Faster Fully-Managed Notebooks in JupyterLab Read More »