AWS Analytics

The managed analytics layer on AWS — cataloguing, transforming, querying and visualising data without running the infrastructure underneath it.

Pages in this Section

• AWS Glue Data Catalog — The AWS Glue Data Catalog is a centralized, Hive-compatible metadata repository that stores information about data sources — databases, tables, columns, partitions, and schemas — across…
• AWS Glue ETL Service — AWS Glue is a fully managed, serverless ETL service that runs Apache Spark (and Python shell) jobs to extract, transform, and load data across AWS services. It pairs with the Glue Data…
• AWS Glue Workflow — AWS Glue Workflow is the native orchestration layer inside AWS Glue. It lets you compose multiple Glue crawlers, ETL jobs, and triggers into a single, dependency-aware DAG with shared run…
• AWS Lake Formation vs AWS CloudFormation — Here are the key differences between AWS Lake Formation and AWS CloudFormation:
• AWS Lake Formation: Detailed Steps — AWS Lake Formation is a fully managed service that simplifies the process of setting up, securing, and managing data lakes. It allows you to collect, store, catalog, clean, and secure large…
• Amazon Athena — Amazon Athena is a serverless, interactive query service that runs standard SQL directly against data in Amazon S3 — no cluster to provision, no data to load. It's powered by Trino (for…
• Amazon QuickSight — Amazon QuickSight is AWS's serverless, cloud-native business intelligence (BI) service. It connects to AWS data sources (Athena, Redshift, RDS, S3, OpenSearch) and external databases,…
• Amazon Data Firehose — Amazon Data Firehose is the serverless delivery service for streaming data. It captures, buffers, optionally transforms, and loads streams into S3, Redshift, OpenSearch, Splunk, Snowflake,…

‹ AWS