Remove Cost-Benefit Remove Data Architecture Remove Metadata Remove Structured Data
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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.

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Exploring real-time streaming for generative AI Applications

AWS Big Data

Streaming jobs constantly ingest new data to synchronize across systems and can perform enrichment, transformations, joins, and aggregations across windows of time more efficiently. Data streaming enables you to ingest data from a variety of databases across various systems.

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If Johnny Mnemonic Smuggled Linked Data

Ontotext

It won’t protect you from issues of data quality or from service failures. […] But Linked Data does provide you with new ways to manage these existing data-management challenges. 6 Linked Data, Structured Data on the Web. Linked Data and Information Retrieval. Linked Data and Security.

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If Johnny Mnemonic Smuggled Linked Data

Ontotext

It won’t protect you from issues of data quality or from service failures. […] But Linked Data does provide you with new ways to manage these existing data-management challenges. 6 Linked Data, Structured Data on the Web. Linked Data and Information Retrieval. Linked Data and Security.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

The following diagram illustrates the different pipelines to ingest data from various source systems using AWS services. Data storage Structured, semi-structured, or unstructured batch data is stored in an object storage because these are cost-efficient and durable.

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How Cloudera Data Flow Enables Successful Data Mesh Architectures

Cloudera

Within the context of a data mesh architecture, I will present industry settings / use cases where the particular architecture is relevant and highlight the business value that it delivers against business and technology areas. Data and Metadata: Data inputs and data outputs produced based on the application logic.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The data volume is in double-digit TBs with steady growth as business and data sources evolve. smava’s Data Platform team faced the challenge to deliver data to stakeholders with different SLAs, while maintaining the flexibility to scale up and down while staying cost-efficient.