AWS Big Data Blog

Category: Advanced (300)

Combine AWS Glue and Amazon MWAA to build advanced VPC selection and failover strategies

AWS Glue is a serverless data integration service that makes it straightforward to discover, prepare, move, and integrate data from multiple sources for analytics, machine learning (ML), and application development. AWS Glue customers often have to meet strict security requirements, which sometimes involve locking down the network connectivity allowed to the job, or running inside […]

Build an analytics pipeline that is resilient to schema changes using Amazon Redshift Spectrum

You can ingest and integrate data from multiple Internet of Things (IoT) sensors to get insights. However, you may have to integrate data from multiple IoT sensor devices to derive analytics like equipment health information from all the sensors based on common data elements. Each of these sensor devices could be transmitting data with unique […]

Simplify authentication with native LDAP integration on Amazon EMR

Many companies have corporate identities stored inside identity providers (IdPs) like Active Directory (AD) or OpenLDAP. Previously, customers using Amazon EMR could integrate their clusters with Active Directory by configuring a one-way realm trust between their AD domain and the EMR cluster Kerberos realm. For more details, refer to Tutorial: Configure a cross-realm trust with […]

Enhance data security and governance for Amazon Redshift Spectrum with VPC endpoints

Many customers are extending their data warehouse capabilities to their data lake with Amazon Redshift. They are looking to further enhance their security posture where they can enforce access policies on their data lakes based on Amazon Simple Storage Service (Amazon S3). Furthermore, they are adopting security models that require access to the data lake […]

Simplify access management with Amazon Redshift and AWS Lake Formation for users in an External Identity Provider

Many organizations use identity providers (IdPs) to authenticate users, manage their attributes, and group memberships for secure, efficient, and centralized identity management. You might be modernizing your data architecture using Amazon Redshift to enable access to your data lake and data in your data warehouse, and are looking for a centralized and scalable way to […]

Secure connectivity patterns for Amazon MSK Serverless cross-account access

Amazon MSK Serverless is a cluster type of Amazon Managed Streaming for Apache Kafka (Amazon MSK) that makes it straightforward for you to run Apache Kafka without having to manage and scale cluster capacity. MSK Serverless automatically provisions and scales compute and storage resources. With MSK Serverless, you can use Apache Kafka on demand and […]

Use multiple bookmark keys in AWS Glue JDBC jobs

AWS Glue is a serverless data integrating service that you can use to catalog data and prepare for analytics. With AWS Glue, you can discover your data, develop scripts to transform sources into targets, and schedule and run extract, transform, and load (ETL) jobs in a serverless environment. AWS Glue jobs are responsible for running […]

Solution overview

Build SAML identity federation for Amazon OpenSearch Service domains within a VPC

Amazon OpenSearch Service is a fully managed search and analytics service powered by the Apache Lucene search library that can be operated within a virtual private cloud (VPC). A VPC is a virtual network that’s dedicated to your AWS account. It’s logically isolated from other virtual networks in the AWS Cloud. Placing an OpenSearch Service […]

Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker

Large language models (LLMs) are becoming increasing popular, with new use cases constantly being explored. In general, you can build applications powered by LLMs by incorporating prompt engineering into your code. However, there are cases where prompting an existing LLM falls short. This is where model fine-tuning can help. Prompt engineering is about guiding the […]

Mastering market dynamics: Transforming transaction cost analytics with ultra-precise Tick History – PCAP and Amazon Athena for Apache Spark

This post is cowritten with Pramod Nayak, LakshmiKanth Mannem and Vivek Aggarwal from the Low Latency Group of LSEG. Transaction cost analysis (TCA) is widely used by traders, portfolio managers, and brokers for pre-trade and post-trade analysis, and helps them measure and optimize transaction costs and the effectiveness of their trading strategies. In this post, […]