Remove Data Security Remove Government Remove Structured Data Remove Unstructured Data
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Unstructured Data: Examples, Tools, Techniques, and Best Practices

AltexSoft

In today’s data-driven world, organizations amass vast amounts of information that can unlock significant insights and inform decision-making. A staggering 80 percent of this digital treasure trove is unstructured data, which lacks a pre-defined format or organization. What is unstructured data?

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Why a Solid Data Foundation Is the Key to Successful Gen AI

Snowflake

By 2025 it’s estimated that there will be 7 petabytes of data generated every day compared with “just” 2.3 And it’s not just any type of data. The majority of it (80%) is now estimated to be unstructured data such as images, videos, and documents — a resource from which enterprises are still not getting much value.

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2020 Data Impact Award Winner Spotlight: Merck KGaA

Cloudera

The Data Security and Governance category, at the annual Data Impact Awards, has never been so important. Finally, throw in the constant stream of cyberthreats out there and it’s clear that protecting your enterprise’s data is vital. Toolsets and strategies have had to shift to ensure controlled access to data.

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What are the Features of Big Data Analytics

Knowledge Hut

Data Governance Data governance is the process of ensuring that data is trustworthy, accurate, available, and usable. It describes the actions people must take, the rules they must follow, and the technology that will support them throughout the data life cycle.

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Chose Both: Data Fabric and Data Lakehouse

Cloudera

First, organizations have a tough time getting their arms around their data. More data is generated in ever wider varieties and in ever more locations. Organizations don’t know what they have anymore and so can’t fully capitalize on it — the majority of data generated goes unused in decision making.

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The Future of Database Management in 2023

Knowledge Hut

NoSQL Databases NoSQL databases are non-relational databases (that do not store data in rows or columns) more effective than conventional relational databases (databases that store information in a tabular format) in handling unstructured and semi-structured data.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

The concept of the data mesh architecture is not entirely new; Its conceptual origins are rooted in the microservices architecture, its design principles (i.e., need to integrate multiple “point solutions” used in a data ecosystem) and organization reasons (e.g., difficulty to achieve cross-organizational governance model).