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The Ultimate Guide to Modern Data Quality Management (DQM) For An Effective Data Quality Control Driven by The Right Metrics

datapine

Paired to this, it can also: Improved decision-making process: From customer relationship management, to supply chain management , to enterprise resource planning, the benefits of effective DQM can have a ripple impact on an organization’s performance. These processes could include reports, campaigns, or financial documentation.

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Amazon OpenSearch Service search enhancements: 2023 roundup

AWS Big Data

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Lexical search In lexical search, the search engine compares the words in the search query to the words in the documents, matching word for word.

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How Data Governance Protects Sensitive Data

erwin

How can companies protect their enterprise data assets, while also ensuring their availability to stewards and consumers while minimizing costs and meeting data privacy requirements? Providing metadata and value-based analysis: Discovery and classification of sensitive data based on metadata and data value patterns and algorithms.

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

AWS Big Data

In the following sections, we discuss the most common areas of consideration that are critical for Data Vault implementations at scale: data protection, performance and elasticity, analytical functionality, cost and resource management, availability, and scalability.

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Providing fine-grained, trusted access to enterprise datasets with Okera and Domino

Domino Data Lab

This process of creating duplicate versions of the data not only takes a lot of time (typically months) and increases storage costs (which quickly add up when talking about petabytes of data), but also becomes a management nightmare. PII, PHI, etc). For the compliance team, the combination of Okera and Domino Data Lab is extremely powerful.

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

In order to provide these benefits, OpenSearch is designed as a high-scale distributed system with multiple independent instances indexing data and processing requests. Other customers require high durability and as a result need to maintain multiple replica copies, resulting in higher operating costs for them.

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6 benefits of data lineage for financial services

IBM Big Data Hub

Download the Gartner® Market Guide for Active Metadata Management 1. With this expanded observability, incidents can be prevented in the design phase or identified in the implementation and testing phase to reduce maintenance costs and achieve higher productivity.