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Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes

AWS Big Data

When you build your transactional data lake using Apache Iceberg to solve your functional use cases, you need to focus on operational use cases for your S3 data lake to optimize the production environment. availability. Note the configuration parameters s3.write.tags.write-tag-name write.tags.write-tag-name and s3.delete.tags.delete-tag-name

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CIOs weigh where to place AI bets — and how to de-risk them

CIO Business Intelligence

billion in 2024 to $521.0 Laying the foundation To develop POC implementations, Menon and her team are establishing a lab that is expected to debut in March 2024 for testing AI tools before rollout. There is a great deal of interest to participate in the testing and participation across the County. billion on 2027.

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How the Masters uses watsonx to manage its AI lifecycle

IBM Big Data Hub

New features in 2024 include Hole Insights, stats and projections about every shot, from every player on every hole; and expanded AI-generated narration (including Spanish language) on more than 20,000 highlight clips. ” Training and testing models The Masters digital team used watsonx.ai

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Use your corporate identities for analytics with Amazon EMR and AWS IAM Identity Center

AWS Big Data

Use Lake Formation to grant permissions to users to access data. Test the solution by accessing data with a corporate identity. Audit user data access. On the Lake Formation console, choose Data lake permissions under Permissions in the navigation pane. Select Named Data Catalog resources.

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ChatGPT: le nuove sfide della strategia sui dati nell’era dell’IA generativa

CIO Business Intelligence

Questo indice misura la capacità degli Stati di portare avanti la pubblicazione e il riutilizzo dei dati aperti, in linea con la Direttiva sugli open data (UE) 2019/1024. Al momento stiamo sperimentando la nuova data platform per un numero selezionato di applicazioni mission-critical, come il processo di autoliquidazione.

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Handle UPSERT data operations using open-source Delta Lake and AWS Glue

AWS Big Data

Many customers need an ACID transaction (atomic, consistent, isolated, durable) data lake that can log change data capture (CDC) from operational data sources. There is also demand for merging real-time data into batch data. Delta Lake framework provides these two capabilities.

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Optimize data layout by bucketing with Amazon Athena and AWS Glue to accelerate downstream queries

AWS Big Data

In the era of data, organizations are increasingly using data lakes to store and analyze vast amounts of structured and unstructured data. Data lakes provide a centralized repository for data from various sources, enabling organizations to unlock valuable insights and drive data-driven decision-making.