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Exploring real-time streaming for generative AI Applications

AWS Big Data

Another example is an AI-driven observability and monitoring solution where FMs monitor real-time internal metrics of a system and produces alerts. When the model finds an anomaly or abnormal metric value, it should immediately produce an alert and notify the operator. Streaming storage provides reliable storage for streaming data.

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Introducing Amazon MWAA support for Apache Airflow version 2.7.2 and deferrable operators

AWS Big Data

You can see the time each task spends idling while waiting for the Redshift cluster to be created, snapshotted, and paused. To learn more about Setup and Teardown tasks, refer to the Apache Airflow documentation. The Cluster Activity page gathers useful data to monitor your cluster’s live and historical metrics.

Metrics 101
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Power enterprise-grade Data Vaults with Amazon Redshift – Part 2

AWS Big Data

Redshift provisioned clusters also support query monitoring rules to define metrics-based performance boundaries for workload management queues and the action that should be taken when a query goes beyond those boundaries. A predicate consists of a metric, a comparison condition (=, ), and a value.

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Now Available: Cloudera Data Science Workbench Release 1.4

Cloudera

With Experiments, data scientists can run a batch job that will: create a snapshot of model code, dependencies, and configuration parameters necessary to train the model. track model metrics, performance, and any model artifacts the user specifies. save the built model container, along with metadata like who built or deployed it.

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Amazon OpenSearch Service H1 2023 in review

AWS Big Data

The vector engine uses approximate nearest neighbor (ANN) algorithms from the Non-Metric Space Library (NMSLIB) and FAISS libraries to power k-NN search. in OpenSearch Service, provides consistency in search pagination even when new documents are ingested or deleted within a specific index. and OpenSearch 2.7

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Choosing an open table format for your transactional data lake on AWS

AWS Big Data

Refer to Working with other AWS services in the Lake Formation documentation for an overview of table format support when using Lake Formation with other AWS services. Offers different query types , allowing to prioritize data freshness (Snapshot Query) or read performance (Read Optimized Query).

Data Lake 111
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Build and manage your modern data stack using dbt and AWS Glue through dbt-glue, the new “trusted” dbt adapter

AWS Big Data

dbt lets data engineers quickly and collaboratively deploy analytics code following software engineering best practices like modularity, portability, continuous integration and continuous delivery (CI/CD), and documentation. The gold model joins the technical logs with billing data and organizes the metrics per business unit.

Data Lake 101