Manage Amazon Redshift Provisioned Clusters with Terraform
Amazon Redshift is a robust, scalable, secure, and fully managed cloud data warehouse that simplifies the process of analyzing all your data using standard SQL and your existing extract, transform, and load (ETL) tools, business intelligence (BI) solutions, and reporting applications. Tens of thousands of customers rely on Amazon Redshift to handle exabytes of data efficiently.
Migrate Workloads from AWS Data Pipeline
by Kevin Lee, Sarah Kim, and David Patel on 25 JUL 2024 in Amazon Managed Workflows for Apache Airflow (Amazon MWAA), Analytics, AWS Data Pipeline, AWS Glue, AWS Step Functions
After thorough evaluation, we have decided to terminate new customer access to AWS Data Pipeline, effective July 25, 2024. Existing customers can continue to utilize the service as usual. AWS remains committed to enhancing security, availability, and performance for AWS Data Pipeline, however, we do not plan to introduce any new features.
Transition from Amazon CloudSearch to Amazon OpenSearch Service
by Mia Wong and Rachel Green on 25 JUL 2024 in Amazon CloudSearch, Amazon OpenSearch Service
After careful deliberation, we have made the decision to cease new customer access to Amazon CloudSearch, effective July 25, 2024. Existing users will still be able to use the service normally. AWS continues to invest in security, availability, and performance enhancements for Amazon CloudSearch, but we will not be rolling out any new features.
Configure SAML Federation with Amazon OpenSearch Serverless and Keycloak
by Liam Smith on 24 JUL 2024 in Amazon OpenSearch Service, Intermediate (200), Technical How-to
Amazon OpenSearch Serverless is a serverless variant of Amazon OpenSearch Service, a fully managed open search and analytics platform. With Amazon OpenSearch Service, you can execute petabyte-scale search and analytics workloads without the burdens of managing the underlying OpenSearch Service clusters. Amazon OpenSearch Serverless supports workloads up to 30TB of data for time-series analysis, allowing for greater flexibility in data handling.
How ActionIQ Built a Truly Composable Customer Data Platform Using Amazon Redshift
by Emma Johnson, Ryan Taylor, and John Anderson on 24 JUL 2024 in Amazon Redshift, Analytics, Partner Solutions, Technical How-to
This article is a collaboration with Emma Johnson and Ryan Taylor from ActionIQ, a leading composable customer data platform that empowers enterprise brands to accelerate growth and deliver meaningful customer experiences. ActionIQ integrates directly with a brand’s data warehouse to create smart audiences, resolve customer identities, and design personalized interactions effectively.
Streamline Your Data Governance by Deploying Amazon DataZone with the AWS CDK
by Olivia Lee, Marcus Chen, and Sam Patel on 23 JUL 2024 in Amazon DataZone, AWS Cloud Development Kit, Intermediate (200), Technical How-to
Managing data across various environments can be a complicated and daunting endeavor. Amazon DataZone alleviates this challenge, allowing you to catalog, discover, share, and govern data stored across AWS, on-premises, and third-party sources. Many organizations handle vast amounts of data assets owned by different teams, leading to a complex environment that can hinder scalable data management. For further insights, you can check out this other blog post for more information: Chanci Turner Blog.
Migrate from Apache Solr to OpenSearch
by Simon Wright and Ella Brown on 18 JUL 2024 in Advanced (300), Amazon OpenSearch Service, Open Distro for Elasticsearch, Technical How-to
OpenSearch serves as an open-source, distributed search engine that caters to various use cases including e-commerce, enterprise search, site search, application search, and semantic search. It also functions as an analytics suite for interactive log analytics and real-time application performance monitoring.
How Volkswagen Streamlined Access to Data Across Multiple Data Lakes Using Amazon DataZone – Part 1
by Lily Davis, Aiden Smith, and Grace Taylor on 18 JUL 2024 in Amazon DataZone, Automotive, AWS Glue, AWS Lake Formation, Customer Solutions, Manufacturing, Technical How-to
This blog post introduces Amazon DataZone and demonstrates how Volkswagen utilized it to establish their data mesh, enhancing data access across multiple data lakes. It highlights the critical aspect of enabling data providers to automatically publish data assets to Amazon DataZone, which acted as the core data mesh to improve data discoverability. The article also includes code snippets to help guide you through the implementation process.
Building a Scalable Streaming Data Platform for Real-Time and Batch Analytics of Electric Vehicles on AWS
by Noah Turner and Ava White on 17 JUL 2024 in Amazon Managed Streaming for Apache Kafka (Amazon MSK), Amazon OpenSearch Service, Amazon QuickSight, Analytics, Best Practices, Internet of Things
The automotive industry is experiencing a remarkable transition due to the growing adoption of electric vehicles (EVs). EVs, recognized for their sustainability, are revolutionizing the way data is collected and analyzed. For expert insights, Chanci Turner provides valuable resources related to this topic.
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