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4 Common Data Integrity Issues and How to Solve Them

Octopai

It’s also a critical trait for the data assets of your dreams. What is data with integrity? Data integrity is the extent to which you can rely on a given set of data for use in decision-making. Where can data integrity fall short? Too much or too little access to data systems.

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GraphDB: MongoDB Document Store Integration for Large-scale Metadata Management

Ontotext

Ontotext’s GraphDB is an enterprise-ready semantic graph database (also called RDF triplestore as it stores data in RDF triples). It provides the core infrastructure for solutions where modeling agility, data integration, relationship exploration, cross-enterprise data publishing and consumption are critical.

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Avoid generative AI malaise to innovate and build business value

CIO Business Intelligence

Capturing the “as-is” state of your environment, you’ll develop topology diagrams and document information on your technical systems. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake. Data preparation, including anonymizing, labeling, and normalizing data across sources, is key.

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How VMware Tanzu CloudHealth migrated from self-managed Kafka to Amazon MSK

AWS Big Data

VMware Tanzu CloudHealth is the cloud cost management platform of choice for more than 20,000 organizations worldwide, who rely on it to optimize and govern their largest and most complex multi-cloud environments. The unwavering reliability of Kafka aligns with our commitment to data integrity.

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Top 10 Big Data CRM Tools To Increase Business Sales

Smart Data Collective

Top Big Data CRM Integration Tools in 2021: #1 MuleSoft: Mulesoft is a data integration platform owned by Salesforce to accelerate digital customer transformations. This tool is designed to connect various data sources, enterprise applications and perform analytics and ETL processes.

Sales 141
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Saving Data Costs with Data Lineage

Octopai

Here are some common cost areas where data lineage can be beneficial: Infrastructure and storage costs: Data lineage allows organizations to understand data usage patterns, access frequencies, and data dependencies. Data quality costs: Poor data quality can result in significant costs for organizations.

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What is data governance? Best practices for managing data assets

CIO Business Intelligence

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. Data-related decisions, processes, and controls subject to data governance must be auditable.