Category: Advanced (300)

Configuring VPC networking per project across a SageMaker Unified Studio domain creates inconsistent, hard-to-audit networks. This post shows administrators how to configure domain-level VPC networking once, so every new project automatically inherits consistent, private network isolation, then update existing projects and validate connectivity.

Amazon EMR on EC2 now supports Spark Connect, so you can develop and debug PySpark interactively from Amazon SageMaker Unified Studio Data Notebooks or your own IDE while Spark runs on your cluster. This post shows you how to get started from both a Data Notebook and a local IDE.

In Part 2 of this series, sign in as a data consumer, subscribe to enriched unstructured data assets in Amazon SageMaker Catalog, and query them using natural language through a no-code Amazon Bedrock chat agent and Amazon Bedrock model inference.

Learn how United Airlines uses AWS Glue Data Catalog federation to query Databricks Unity Catalog data directly from Amazon Redshift Serverless without duplicating data, using resource links and AWS Lake Formation for governance.

Amazon Kinesis Data Streams now supports scaling down ingest capacity for on-demand Advantage streams with warm throughput. Learn how the scale-down works, how to monitor stream behavior with Amazon CloudWatch, and best practices for releasing excess capacity after transient traffic bursts.

Learn how to migrate an Amazon CloudSearch domain to Amazon OpenSearch Serverless: assess your configuration, create a collection with explicit index mappings, convert your documents and queries to the OpenSearch query DSL, configure security, load data with Amazon OpenSearch Ingestion, and validate before cutover.

Accelerate slow, repetitive Apache Spark analytical queries on Apache Iceberg tables without rewriting any SQL. This post shows how automatic query rewrite in Amazon EMR and AWS Glue uses Iceberg materialized views in the AWS Glue Data Catalog to transparently substitute matching query plans, and how to design materialized views for the best speedup.

AWS Glue 6.0 introduces Spark Declarative Pipelines. In this post, you build a single declarative AWS Glue 6.0 job that turns raw order records into validated, aggregated tables through a bronze, silver, and gold sequence, without writing any orchestration logic.

AI agents can reach enterprise data where it lives instead of routing every question through data engineers. This post presents three reference patterns for federated data access using Model Context Protocol (MCP) servers and Amazon Bedrock AgentCore: catalog-first, direct source, and hybrid access.

The next generation of Amazon OpenSearch Serverless uses standard AWS PrivateLink endpoints on the on.aws domain. This post shows nine connectivity patterns for private access, from a single VPC to multiple VPCs, cross-account, on-premises, and cross-Region, with the DNS resolution and data path for each.