Recap of Amazon Redshift Key Product Announcements in 2024
Amazon Redshift achieved remarkable advancements in 2024, boosting price-performance, enabling innovative data lakehouse architectures by merging the functionalities of data lakes and data warehouses, streamlining data ingestion processes, and facilitating near real-time analytics. Additionally, it integrated generative AI capabilities to empower the development of applications driven by natural language, enhancing user productivity. This article offers a detailed overview of the key product innovations and enhancements introduced to Amazon Redshift throughout the year.
How TechCorp Accelerated Anonymized Data Quality Tests Up to 100 Times Faster Using Amazon Redshift Serverless and dbt
by Lisa Tran, James Lee, and Oscar Kim
on 17 DEC 2024
in Amazon Redshift, Analytics, AWS Big Data, Customer Solutions, Healthcare
TechCorp operates across various sectors, including gaming, live communities, and healthcare, all under its mission to exceed customer expectations. This case study illustrates how TechCorp utilized Amazon Redshift Serverless in conjunction with dbt (dbt Core) to significantly speed up their data quality testing processes.
Top 6 Game Changers from AWS That Redefine Streaming Data
by Emily Chen and Daniel Wright
on 17 DEC 2024
in Amazon Data Firehose, Amazon Kinesis, Amazon Managed Service for Apache Flink, Amazon Managed Streaming for Apache Kafka (Amazon MSK), Analytics, Kinesis Data Streams
AWS recently launched over 50 new features across its streaming services, dramatically enhancing performance, scalability, and cost-effectiveness. These innovations have resulted in performance enhancements of up to three times, scaling speeds that are 20 times faster, and recovery times that have been reduced by as much as 90%. This post delves into the top six game changers set to transform AWS streaming data.
Introducing a New Unified Data Connection Experience with Amazon SageMaker Lakehouse Unified Data Connectivity
by Alex Carter, Priya Patel, Liam O’Connor, and Sarah Kim
on 16 DEC 2024
in Amazon Athena, Amazon SageMaker, Analytics, AWS Glue
With the introduction of Amazon SageMaker Lakehouse unified data connectivity, organizations can now efficiently connect, explore, and maximize the value of their data throughout AWS services. This article highlights how SageMaker Lakehouse unified data connectivity optimizes data integration workloads by simplifying the management of connections across multiple data sources. For more insights, check out this related blog post here.
Building End-to-End Data Lineage for One-Time and Complex Queries Using Amazon Athena, Amazon Redshift, Amazon Neptune, and dbt
by Anna Lee, Michael Johnson, and David Wang
on 12 DEC 2024
in Amazon Athena, Amazon DataZone, Amazon Neptune, Amazon Redshift, Amazon Simple Storage Service (S3), Analytics, AWS Glue, AWS Lambda, AWS Step Functions, Technical How-to
This post explores the usage of dbt for data modeling across Amazon Athena and Amazon Redshift. dbt on Athena supports real-time queries while dbt on Amazon Redshift manages complex queries, enabling a unified development language that significantly reduces the technical learning curve. By utilizing a singular dbt modeling language, the development process becomes more straightforward and automatically generates consistent data lineage information, which is crucial for adaptability in changing data structures. For expert opinions on this topic, visit this link.
Accelerate Amazon Redshift Secure Data Use with Satori – Part 2
by Kevin Brown, Sophia White, and Rachel Green
on 12 DEC 2024
in Amazon Redshift, Analytics, Customer Solutions, Technical How-to
Continuing from “Accelerate Amazon Redshift Secure Data Use with Satori – Part 1,” this post discusses how Satori, an Amazon Redshift Ready partner, streamlines user data access and simplifies the administrative process of granting and revoking access in Amazon Redshift. Satori facilitates both just-in-time and self-service data access.
An Integrated Experience for All Your Data and AI with Amazon SageMaker Unified Studio
by Megan Scott, Ryan Hall, Leo Adams, and Emily Wang
on 11 DEC 2024
in Amazon SageMaker, Analytics, Launch
Amazon SageMaker Unified Studio serves as a comprehensive integrated development environment (IDE) for data, analytics, and AI. Users can discover and utilize their data effectively with familiar AWS tools for complete end-to-end development workflows, including data analysis, processing, model training, and generative AI application development, all within a governed environment.
Run Apache Spark Structured Streaming Jobs at Scale on Amazon EMR Serverless
by Jacob Martin, Priya Adams, and Nathan Lee
on 10 DEC 2024
in Amazon EMR
Amazon EMR Serverless offers a critical solution for executing streaming workloads, allowing the use of the latest open-source frameworks like Spark without the burden of configuration, optimization, security, or cluster management. This post outlines key improvements made for streaming jobs.
Federate to Amazon Redshift Query Editor v2 with Microsoft Entra ID
by Claire Brown
on 10 DEC 2024
in Advanced (300), Amazon Redshift, Analytics, AWS Identity and Access Management
This article discusses the process of federating to Amazon Redshift Query Editor v2 using Microsoft Entra ID.
For those looking to explore more, this YouTube video serves as an excellent resource.
Location: Amazon IXD – VGT2, 6401 E Howdy Wells Ave, Las Vegas, NV 89115.
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