Remove Data Processing Remove Structured Data Remove Unstructured Data
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Why CIOs should embrace the potential of data and analytics enablement platforms for a brighter future

CIO Business Intelligence

As the world moves toward a cashless economy that includes electronic payments for most products and services, financial institutions must also deal with new risk exposures presented by mobile wallets, person-to-person (P2P) payment services, and a host of emerging digital payment systems.

Analytics 115
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Implement a custom subscription workflow for unmanaged Amazon S3 assets published with Amazon DataZone

AWS Big Data

Amazon DataZone , a data management service, helps you catalog, discover, share, and govern data stored across AWS, on-premises systems, and third-party sources. For example, Genentech, a leading biotechnology company, has vast sets of unstructured gene sequencing data organized across multiple S3 buckets and prefixes.

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How ZS built a clinical knowledge repository for semantic search using Amazon OpenSearch Service and Amazon Neptune

AWS Big Data

We use leading-edge analytics, data, and science to help clients make intelligent decisions. We developed and host several applications for our customers on Amazon Web Services (AWS). Neptune ingests both structured and unstructured data, simplifying the process to retrieve content across different sources and formats.

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New Software Development Initiatives Lead To Second Stage Of Big Data

Smart Data Collective

For example, you can organize an employee table in a database in a structured manner to capture the employee’s details, job positions, salary, etc. Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming.

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The new challenges of scale: What it takes to go from PB to EB data scale

CIO Business Intelligence

How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Unlike structured data, which is organized into predefined fields and tables, unstructured data does not have a well-defined schema or structure.

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Quantitative and Qualitative Data: A Vital Combination

Sisense

Most commonly, we think of data as numbers that show information such as sales figures, marketing data, payroll totals, financial statistics, and other data that can be counted and measured objectively. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?”

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Reflections on the Knowledge Graph Conference 2023

Ontotext

This message resonates with the market positioning of Ontotext as a trusted, stable option for demanding data-centric use cases. During the conference, the organizers hosted a separate track called the Healthcare and Life Sciences Symposium. Knowledge graphs will continue to be essential for AI in the era of ChatGPT and LLM.