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AWS for Students, Exploring Cloud Solutions

2024-05-03T09:23:02+00:00

AWS extends far beyond just Lambda functions, providing an extensive range of vital services for learning and skill development. Throughout this blog, we will explore how Amazon Web Services (AWS) can benefit students interested in cloud computing as we cover various AWS services and their practical applications, helping them effectively leverage the opportunities it presents for aspiring professionals in the field of cloud computing. Starting off with examining AWS storage solutions like Amazon S3, which allow easy, secure data storage and retrieval. This service is crucial for collaborative projects and simplifies the management of large datasets. With this, AWS provides [...]

AWS for Students, Exploring Cloud Solutions2024-05-03T09:23:02+00:00

Amazon Q

2024-04-25T06:52:12+00:00

Bookmarks Features Sub-modules Pricing References Amazon Q Cheat Sheet Amazon Q is an AI assistant that’s designed to be generative, meaning it can generate content, solve problems, and perform tasks using the data and expertise within your company. Use Cases Amazon Q is designed to provide quick and relevant answers to questions, streamline tasks, speed up decision-making, and foster creativity and innovation at work. Types Amazon Q Business: This version of Amazon Q can be customized to your business by connecting it to your company’s data, information, and systems. Amazon Q Developer: This version [...]

Amazon Q2024-04-25T06:52:12+00:00

Amazon Managed Workflows for Apache Airflow

2024-04-25T06:42:18+00:00

Bookmarks Key Features Security Pricing References Amazon Managed Workflows for Apache Airflow (MWAA) Cheat Sheet Amazon MWAA is a service that helps you manage and automate your data workflows using Apache Airflow. Workflows are designed as Directed Acyclic Graphs (DAGs) using Python. Use Cases Complex Data Workflows: Handles complex data processing tasks. ETL Jobs: Coordinates Extract, Transform, Load (ETL) processes. Machine Learning: Prepares datasets for machine learning models. Key Features Deployment: Easy setup and operation. Scaling: Automatically adjusts to match workload demands. Security: Built-in measures for data protection. Monitoring: Comprehensive tracking of workflows. Cost-Effectiveness: [...]

Amazon Managed Workflows for Apache Airflow2024-04-25T06:42:18+00:00

AWS Glue Data Quality

2024-04-17T06:27:15+00:00

Bookmarks Features Pricing References AWS Glue Data Quality Cheat Sheet AWS Glue Data Quality is a service that provides a way to monitor and measure the quality of your data. It’s part of the AWS Glue service and is built on the open-source DeeQu framework. Use Cases Analyzing data sets that are cataloged in the AWS Glue Data Catalog. Continuously monitoring the quality of data in a data lake. Adding a layer of data quality checks to traditional AWS Glue jobs. AWS Glue Data Quality uses a domain-specific language called Data Quality Definition Language [...]

AWS Glue Data Quality2024-04-17T06:27:15+00:00

AWS Glue DataBrew

2024-04-12T14:30:21+00:00

Bookmarks Features Components Pricing References AWS Glue DataBrew Cheat Sheet AWS Glue DataBrew is a tool designed to streamline your data analysis process. It allows you to interact with your data directly, eliminating the need for complex coding. With its extensive library of over 250 pre-built transformations, you can easily clean, normalize, and format your data, preparing it for insightful analysis. AWS Glue DataBrew is commonly used for: Reducing the time required to prepare data for analytics and machine learning. Automating data preparation tasks with a wide range of ready-made transformations. Facilitating collaboration [...]

AWS Glue DataBrew2024-04-12T14:30:21+00:00

Utilizing Lambda Functions to Control Amazon EC2 Instances via Slack

2024-04-11T00:49:47+00:00

Managing and controlling resources is crucial in the cloud computing environment. Amazon Web Services (AWS) offers various services, including Amazon Elastic Compute Cloud (EC2), which provides scalable computing capacity in the cloud. Alongside AWS services, communication and collaboration tools like Slack have become integral to modern workflows. This article explores how to seamlessly integrate AWS Lambda functions with Slack to enable users to invoke actions such as rebooting, stopping, and starting EC2 instances directly from Slack channels. Using Lambda functions in combination with AWS services and Slack's messaging platform streamlines operational tasks and enhances team collaboration and productivity. Setting Up [...]

Utilizing Lambda Functions to Control Amazon EC2 Instances via Slack2024-04-11T00:49:47+00:00

Enabling Virtual Deliverability Manager in Amazon Simple Email Service (Amazon SES)

2024-04-11T01:38:00+00:00

Amazon Simple Email Service (SES) offers a cloud-based solution tailored for digital marketers and application developers aiming to distribute various emails, including marketing emails, notifications, and transaction-based communications. This service stands out for its reliability and cost-efficiency, making it an ideal choice for enterprises of varying sizes wishing to maintain consistent communication with their clientele. Amazon Simple Email Service (SES) addresses the intricate challenges associated with large-scale email dispatches by offering a suite of features designed to refine your email distribution strategy. These include the management of IP addresses, content filtering capabilities, and access to detailed sending analytics, thereby enhancing [...]

Enabling Virtual Deliverability Manager in Amazon Simple Email Service (Amazon SES)2024-04-11T01:38:00+00:00

Validate Referrer Headers Using CloudFront Function

2024-04-11T01:58:29+00:00

Amazon CloudFront, a content delivery network (CDN), lets you distribute content with low latency and high data transfer speeds. One of its many features is the ability to create CloudFront functions, which are lightweight functions that can manipulate HTTP requests and responses. This article will discuss creating a CloudFront function to validate Referrer headers. Referrer Headers Referrer headers are an essential part of HTTP requests, as they indicate the webpage's address linked to the resource being requested. By validating these headers, you can add an extra layer of security to your application, preventing unauthorized access and protecting your resources from [...]

Validate Referrer Headers Using CloudFront Function2024-04-11T01:58:29+00:00

Building Data Pipelines with No-Code ETL Using AWS Glue Studio

2024-04-03T00:33:32+00:00

Introduction Welcome to the dynamic world of AWS Data Engineering! This beginner-friendly guide introduces you to the essentials of data staging and transformation within the AWS ecosystem without needing to code. By exploring the foundational use of Amazon S3 and AWS Glue, this guide provides a practical starting point for understanding how AWS data is handled and processed. Whether you're aiming for certification or looking to apply these skills in practical scenarios, this guide sets the groundwork for your future in data engineering. Preparation: Navigating Through Sample Datasets In this article, we'll work with 3 main datasets for a fictional [...]

Building Data Pipelines with No-Code ETL Using AWS Glue Studio2024-04-03T00:33:32+00:00

Setting Up Development Environments with AWS Cloud9

2024-02-23T00:12:54+00:00

Welcome to the world of AWS Cloud 9, where seamless development and collaboration meet in the cloud! Whether you're a seasoned developer or just starting your coding journey, Cloud 9 is here to revolutionize the way you build and deploy applications. Imagine having the power to write, run, and debug your code all within a browser-based integrated development environment (IDE). This powerful tool eliminates the need for complex local setups and ensures you can work from anywhere, at any time, with just an internet connection. With Amazon Cloud 9, you can effortlessly collaborate with peers, making team projects a breeze. [...]

Setting Up Development Environments with AWS Cloud92024-02-23T00:12:54+00:00

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