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aws-data-analytics

v1.5.0

by aws · author: Amazon Web Services

Data lake, analytics, search, streaming, ETL, and orchestration workflows with S3 Tables, AWS Glue, Athena, Amazon Redshift, Amazon OpenSearch Service, Amazon MSK, Amazon Managed Service for Apache Flink, Amazon MWAA, and Amazon SageMaker Catalog. Covers managed Iceberg tables on S3 Tables, ingestion from JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Amazon Redshift, Snowflake, BigQuery, and DynamoDB, AWS Glue Data Catalog inventory and asset discovery, federated Athena queries, vector storage and semantic search on Amazon S3 Vectors, Amazon OpenSearch Service and Serverless (migration from Solr/Elasticsearch, provisioning, vector/semantic/hybrid search, log analytics, trace analytics), Amazon MSK Provisioned with Standard and Express brokers (cluster sizing, performance and consumer lag troubleshooting, topic management, MSK Replicator for disaster recovery and active-active replication, and Streaming Tables delivery to S3 Tables), migrating self-managed Apache Kafka to MSK Express, Apache Flink application development on Amazon Managed Service for Apache Flink, and Amazon MWAA Provisioned and MWAA Serverless (authoring, testing, and debugging DAGs and workflows, and Airflow version upgrades for provisioned environments), and Amazon SageMaker Catalog and AWS Glue Data Catalog curation (business descriptions, glossaries, metadata forms, publishing, and safe asset retirement) with subscription-based access requests, approvals, audits, and revocations.

What aws-data-analytics does, in the publisher's words

This plugin brings AWS data engineering expertise directly into your coding assistant, covering the full data lifecycle across AWS Analytics services; currently, skills are provided to assist with the following capability areas:

  • Data Lake Operations: Build and operate a data lake on AWS: create managed Iceberg tables on Amazon S3 Tables, ingest data from diverse sources (S3, JDBC databases, Snowflake, BigQuery, DynamoDB, AWS Glue catalog tables), and query across default and federated catalogs with Amazon Athena.
  • Data Discovery: Inventory and audit your AWS Glue Data Catalog across S3 Tables, Amazon Redshift-federated, and remote Iceberg catalogs. Resolve data asset references by name, keyword, column, or reverse-lookup from S3 location metadata in the catalog.
  • Vector Storage: Store and query vector embeddings using Amazon S3 Vectors for cost-effective semantic search and RAG workloads.

From the project README, punctuation lightly normalized · Open the README on GitHub

Skills
18
MCP servers
1
Stars
3,366
License
Apache-2.0
Repo created
2026-04-23
Last pushed
2026-10-30
Publisher type
Organization
Version
1.5.0

Links

Skills · 18

amazon-opensearch-service
Guides migration, provisioning, search, log-analytics, trace-analytics, and Agentic AI Assistant workflows for Amazon OpenSearch Service and Serverless across six capabilities, migration (Solr/ES/self-managed into AOS/AOSS, schema/query translation, sizing, cutover); provisioning (domain + AOSS li…
authoring-mwaa-workflow
connecting-to-data-source
Create and troubleshoot AWS Glue connections to JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS), Redshift, Snowflake, and BigQuery. Gathers connection hints from user, discovers existing connections and RDS/Redshift candidates, registers credentials in Secrets Manager or IAM DB auth, co…
creating-data-lake-table
Create managed Iceberg tables using Amazon S3 Tables (s3tables API namespace) with automatic compaction and snapshot management. Sets up table bucket, namespace, table, schema, Glue catalog registration, partitioning, IAM access control. Triggers on: create table, data lake table, analytics table,…
debugging-mwaa-workflow
developing-applications-on-managed-service-for-apache-flink
exploring-data-catalog
Full inventory and audit of AWS Glue Data Catalog assets across S3 Tables, Redshift-federated, and remote Iceberg catalogs. Triggers on: inventory the catalog, audit databases, list all tables, catalog overview, data landscape, enumerate catalogs, data inventory, search the catalog. Do NOT use for…
finding-data-lake-assets
Resolve data lake and lakehouse asset references across Glue Data Catalog, S3, S3 Tables, and Redshift. Triggers on: find the table, where is our data, which table has, locate dataset, find data for, search catalog, what tables match, Redshift table, lakehouse table, data lake table, warehouse tabl…
ingesting-into-data-lake
Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucke…
managing-amazon-msk
managing-data-asset-access
managing-data-catalog
migrate-to-msk
querying-data-lake
Execute and manage Athena SQL queries across default and federated catalogs (Glue, S3 Tables, Redshift). Triggers on phrases like: query data, run SQL, athena query, analyze table, SQL query, workgroup status, profile table, query Redshift catalog, query S3 Tables. Do NOT use for finding specific d…
redshift-guide
Amazon Redshift is NOT PostgreSQL: corrects PostgreSQL-derived LLM mistakes; covers Redshift-specific SQL, DDL, COPY/UNLOAD, system views, metadata discovery, and operational patterns. Applies ONLY when the task is about Redshift itself (cluster, Serverless workgroup, or Redshift SQL). Pushes back…
storing-and-querying-vectors
Store and query vector embeddings using Amazon S3 Vectors, a cost-effective long-term vector storage service with its own API namespace (s3vectors). Triggers on: create S3 vector bucket, vector index, store embeddings, semantic search, RAG vector storage, similarity search, vector database, migrate…
testing-mwaa-workflow
upgrading-mwaa-environments

Descriptions come from the frontmatter of each SKILL.md, punctuation lightly normalized.

MCP servers · 1

aws-mcpstdio
uvx mcp-proxy-for-aws-cli@latest https://aws-mcp.us-east-1.api.aws/mcp --skip-auth --metadata INSTALL_SOURCE=agent-toolkit-data-analytics

Read from the plugin's own mcp.json. We list environment variable names, never values.

Category

Databases & Data. Assigned by this directory. Agent Plugins 1.0.0 has no category field, so no manifest declares one.

Keywords

aws · amazon · amazon-web-services · iam · analytics · data-lake · lakehouse · athena · glue · aws-glue · data-catalog · s3 · s3-tables · s3-vectors · iceberg · apache-iceberg · etl · redshift · snowflake · bigquery · dynamodb · jdbc · vector-search · rag · streaming · stream-processing · msk · amazon-msk · managed-streaming-for-apache-kafka · kafka · apache-kafka · kafka-migration · msk-replicator · streaming-tables · flink · apache-flink · managed-service-for-apache-flink · sagemaker-catalog · datazone · data-governance · business-glossary · metadata-forms · data-access

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