Remove Data Architecture Remove Data Quality Remove Unstructured Data
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Data architecture strategy for data quality

IBM Big Data Hub

Poor data quality is one of the top barriers faced by organizations aspiring to be more data-driven. Ill-timed business decisions and misinformed business processes, missed revenue opportunities, failed business initiatives and complex data systems can all stem from data quality issues.

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Demystifying Modern Data Platforms

Cloudera

Mark: While most discussions of modern data platforms focus on comparing the key components, it is important to understand how they all fit together. The high-level architecture shown below forms the backdrop for the exploration. Luke: Let’s talk about some of the fundamentals of modern data architecture.

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A comparative assessment of digital transformation in Italy

CIO Business Intelligence

Finally, the flow of AMA reports and activities generates a lot of data for the SAP system, and to be more effective, we’ll start managing it with data and business intelligence.”

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

Data engineers and data scientists often work closely together but serve very different functions. Data engineers are responsible for developing, testing, and maintaining data pipelines and data architectures. Data engineer vs. data architect.

Analytics 130
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The New Normal for FP&A: Data Analytics

Jedox

Gartner defines “dark data” as the data organizations collect, process, and store during regular business activities, but doesn’t use any further. Gartner also estimates 80% of all data is “dark”, while 93% of unstructured data is “dark.”.

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Data literacy, governance keys to transformation at Dow

CIO Business Intelligence

When you’re taking the whole of Dow’s 127 years of knowledge in the form of structured and unstructured data and putting it in a place that’s supposed to make it easier to access and find, that can be scary,” Schroeder says. There are data privacy laws, and security regulations and controls that have to be put in place.

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KGF 2023: Bikes To The Moon, Datastrophies, Abstract Art And A Knowledge Graph Forum To Embrace Them All

Ontotext

Most organisations are missing this ability to connect all the data together. from Q&A with Tim Berners-Lee ) Finally, Sumit highlighted the importance of knowledge graphs to advance semantic data architecture models that allow unified data access and empower flexible data integration.