Remove Data Collection Remove Data Processing Remove Metadata Remove Testing
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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Athena is used to run geospatial queries on the location data stored in the S3 buckets. You can test this solution yourself using the AWS Samples GitHub repository.

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What you need to know about product management for AI

O'Reilly on Data

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. This has serious implications for software testing, versioning, deployment, and other core development processes. If you can’t walk, you’re unlikely to run.

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Preprocess and fine-tune LLMs quickly and cost-effectively using Amazon EMR Serverless and Amazon SageMaker

AWS Big Data

The Common Crawl corpus contains petabytes of data, regularly collected since 2008, and contains raw webpage data, metadata extracts, and text extracts. In addition to determining which dataset should be used, cleansing and processing the data to the fine-tuning’s specific need is required.

Metadata 102
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Improving Multi-tenancy with Virtual Private Clusters

Cloudera

The typical Cloudera Enterprise Data Hub Cluster starts with a few dozen nodes in the customer’s datacenter hosting a variety of distributed services. Over time, workloads start processing more data, tenants start onboarding more workloads, and administrators (admins) start onboarding more tenants. 3) By workload priority.

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Top 15 data management platforms available today

CIO Business Intelligence

How to choose which DMP is right for your organization While each organization will have its own unique needs, a number of common factors are important to keep in mind when selecting a data management platform. The platform’s data collection, storage, scalability, and processing capabilities will also weigh heavily in making your choice.

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Data Mesh Architecture and the Data Catalog

Alation

Middlemen — data engineering or IT teams — can’t possibly possess all the expertise needed to serve up quality data to the growing range of data consumers who need it. As data collection has surged, and demands for data have grown in the enterprise, one single team can no longer meet the data demands of every department.

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Top 15 data management platforms

CIO Business Intelligence

Advertisers use OnAudience to build an understanding of their audience from data collected from multiple sources. It integrates data across a wide arrange of sources to help optimize the value of ad dollar spending. Along the way, metadata is collected, organized, and maintained to help debug and ensure data integrity.