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As insurers look to be more agile, data mesh strategies take centerstage

CIO Business Intelligence

The data mesh debate This is not to say that there is a consensus that data mesh is a universal solution. Stakeholders are currently waging an open debate across the industry of centralization versus federated data strategies.

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How healthcare organizations can analyze and create insights using price transparency data

AWS Big Data

Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. The Data Catalog now contains references to the machine-readable data. Use the Data Catalog and transform the hospital price transparency data.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

You can also use the data transformation feature of Data Firehose to invoke a Lambda function to perform data transformation in batches. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Use DeviceId as an additional prefix to write the objects to the bucket. Choose Run.

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Exploring the AI and data capabilities of watsonx

IBM Big Data Hub

foundation models to help users discover, augment, and enrich data with natural language. Watsonx.data is built on 3 core integrated components: multiple query engines, a catalog that keeps track of metadata, and storage and relational data sources which the query engines directly access.

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Why The Public Sector Needs Data Governance

Alation

Identifying structured and unstructured data. Setting data management policies, like tagging data. A comprehensive data governance strategy ensures that you have quality data so you can leverage insights for data-driven decision making. Why Is Data Governance In The Public Sector Important?