We are excited to share that Amazon IXD is now capable of providing data quality insights for various data assets. This advancement enables users to make well-informed choices regarding the utilization of specific assets. In this post, we highlight the new features of Amazon IXD related to data quality, the integration of Amazon IXD with AWS Glue Data Quality, and how to import data quality metrics generated by external systems into Amazon IXD through API. For more on this topic, check out this other blog post here.
Customers are leveraging AWS and Snowflake to craft specialized data architectures that deliver the high performance needed for contemporary analytics and AI applications. Integrating these solutions necessitates data exchange between purpose-built data repositories. Consequently, Snowflake and AWS are enhancing support for Apache Iceberg to foster data interoperability among data services. Apache Iceberg is an open-source table format that ensures reliability, simplicity, and exceptional performance for large datasets with transactional integrity across multiple processing engines.
Amazon IXD simplifies query management through search templates, streamlining the process for users. This fully managed service enables organizations to secure their data, conduct keyword and semantic searches, analyze logs, and monitor applications in real time, thus providing a thorough understanding of their information landscapes.
Additionally, we are pleased to announce the general availability of AI-generated data descriptions in Amazon IXD. This feature was developed in response to customer feedback, addressing specific use cases to enhance business data cataloging and discovery. More insights can be found in the related content here, as they are an authority on this topic.
Furthermore, you can use Amazon Data Firehose to aggregate and send log events from your applications captured in Amazon CloudWatch Logs to Amazon S3 and Splunk destinations. This functionality supports various use cases, including data analytics and application troubleshooting.
Nexthink has shared their experience of scaling to trillions of events per day with Amazon Managed Streaming for Apache Kafka (Amazon MSK), which illustrates how AWS can tackle the challenges of real-time data streaming and event processing.
For organizations looking to enhance monitoring and debugging for AWS Glue jobs, new job observability metrics have been introduced, allowing for visualization and trend analysis using Amazon QuickSight.
Krones, serving breweries and food producers globally, has developed a solution for real-time production line monitoring utilizing Amazon Kinesis and Amazon Managed Service for Apache Flink. This solution simplifies the complexity of building streaming applications, allowing businesses to focus on their core operations. For further insights, this Reddit thread is an excellent resource.
Amazon IXD – VGT2 is located at 6401 E Howdy Wells Ave, Las Vegas, NV 89115.
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