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aws cheat sheet

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Amazon SageMaker Data Wrangler

2025-12-12T05:15:52+00:00

Amazon SageMaker Data Wrangler Cheat Sheet Amazon SageMaker Data Wrangler streamlines data preparation and feature engineering for machine learning.  Amazon SageMaker Data Wrangler is a feature in Amazon SageMaker Studio Classic. It integrates data from various sources, allows you to explore, clean, transform, and visualize data, and automates these steps in your machine-learning workflow. Amazon SageMaker Data Wrangler Core Functionalities Data Wrangler provides core functionalities to facilitate data analysis and preparation in machine learning. Import Easily access and import data stored in cloud-based data warehouses and data lakes, such as Amazon S3, Athena, Redshift, Snowflake, and Databricks. The dataset you import [...]

Amazon SageMaker Data Wrangler2025-12-12T05:15:52+00:00

Amazon SageMaker Feature Store

2025-12-12T05:11:22+00:00

Amazon SageMaker Feature Store Cheat Sheet Amazon SageMaker Feature Store is a centralized repository for managing machine learning features. It simplifies the process of data exploration, model training, and batch predictions by providing a unified view of your features. Enhances ML model development and deployment efficiency. How does it work? SageMaker Feature Store stores features in feature groups. A feature group is a collection of related features that can be used for a specific task. Feature groups can be created from various data sources, such as Amazon S3, Amazon RDS, and Amazon DynamoDB. There are three modes that a feature [...]

Amazon SageMaker Feature Store2025-12-12T05:11:22+00:00

Amazon EKS vs Amazon ECS

2024-08-27T11:41:51+00:00

    Elastic Container Service (ECS) Elastic Kubernetes Service (EKS) Overview AWS’s fully managed container orchestration service for Docker containers. Designed for simplicity and ease of use. Seamless integration with AWS services and minimal management overhead. Tightly coupled with AWS, making it a cloud-native service. AWS’s managed Kubernetes service. Offers Kubernetes flexibility with AWS’s management and scaling. Ideal for teams needing Kubernetes features and ecosystem. Kubernetes is cloud-agnostic and has a loosely coupled architecture, allowing it to run across various cloud providers like Google Cloud, Azure, and others. Features Simplifies container management without the need for control plane management. Deeply [...]

Amazon EKS vs Amazon ECS2024-08-27T11:41:51+00:00

Amazon Redshift Serverless

2024-07-19T00:24:57+00:00

Bookmarks Use Cases Features Components Monitoring Security Pricing Amazon Redshift Serverless Cheat Sheet Amazon Redshift Serverless allows users to run and scale analytics without managing the underlying data warehouse infrastructure. It dynamically adjusts compute capacity to handle fluctuating query loads, delivering high performance and efficiency for analytical workloads. Amazon Redshift Serverless Use Cases Ideal for workloads with unpredictable usage patterns, where traditional data warehousing solutions may need to be more cost-effective and practical. Supports integration with BI tools like Tableau and Amazon QuickSight for real-time and historical data analysis. Seamlessly integrates [...]

Amazon Redshift Serverless2024-07-19T00:24:57+00:00

Amazon Q

2025-11-25T11:49:38+00:00

Bookmarks Features Sub-modules Security 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. Business Insights: With QuickSight integration, Q can combine unstructured (docs) + structured data (dashboards / databases) to answer questions like “What's our revenue trend + narrative?”. Customer Service: [...]

Amazon Q2025-11-25T11:49:38+00:00

Amazon Managed Workflows for Apache Airflow

2025-11-22T09:19:33+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. Data Orchestration Across AWS Services: Easily integrates with S3, Redshift, Lambda, and RDS for orchestrated workflows. Event-Driven Workflows: Can trigger DAGs based on events from EventBridge [...]

Amazon Managed Workflows for Apache Airflow2025-11-22T09:19:33+00:00

AWS Glue Data Quality

2026-01-07T16:51:16+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. Supports data quality checks on AWS Lake Formation managed Iceberg, Delta Lake, and Hudi tables. Integrates with Amazon SageMaker AI Lakehouse tables for unified analytics and governance. Can be used alongside zero ETL integrations to validate data ingested from supported AWS services. Use Cases Analyzing data sets that are [...]

AWS Glue Data Quality2026-01-07T16:51:16+00:00

AWS Glue DataBrew

2026-01-07T16:46:55+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. Supports data quality rules and PII detection, enabling validation and masking of sensitive data during data preparation. Integrates natively with Amazon AppFlow to ingest data from SaaS applications such as Salesforce, Zendesk, [...]

AWS Glue DataBrew2026-01-07T16:46:55+00:00

AWS, Azure, and GCP Certifications are consistently among the top-paying IT certifications in the world, considering that most companies have now shifted to the cloud. Upskill and earn over $150,000 per year with an AWS, Azure, or GCP certification!

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