Remove Data Processing Remove Metadata Remove Publishing Remove Unstructured Data
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Ontotext Invents the Universe So You Don’t Need To

Ontotext

Content Enrichment and Metadata Management. The value of metadata for content providers is well-established. When that metadata is connected within a knowledge graph, a powerful mechanism for content enrichment is unlocked. The vast majority of that information is unstructured and unstructured means undiscoverable.

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Build a serverless transactional data lake with Apache Iceberg, Amazon EMR Serverless, and Amazon Athena

AWS Big Data

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

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

CIO Business Intelligence

Additionally, it is vital to be able to execute computing operations on the 1000+ PB within a multi-parallel processing distributed system, considering that the data remains dynamic, constantly undergoing updates, deletions, movements, and growth.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Application Logic: Application logic refers to the type of data processing, and can be anything from analytical or operational systems to data pipelines that ingest data inputs, apply transformations based on some business logic and produce data outputs. Key Design Principles of a Data Mesh.

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Top Takeaways from the Gartner® Innovation Insight: Data Security Posture Management

Laminar Security

That’s particularly concerning considering that 60% of worldwide corporate data was stored in the cloud during that same period. So while the cloud has become an integral part of doing business, data security in the cloud is lagging behind. Organizations have an array of technologies across their security and IT teams.