Remove products semantic-objects
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What is data architecture? A framework to manage data

CIO Business Intelligence

Data architecture principles According to David Mariani , founder and CTO of semantic layer platform AtScale, six principles form the foundation of modern data architecture: View data as a shared asset. To do this, organizations should identify the data they need to collect, analyze, and store based on strategic objectives.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

First, don’t do something just because everyone else is doing it – there needs to be a valid business reason for your organization to be doing it, at the very least because you will need to explain it objectively to your stakeholders (employees, investors, clients). Develop a minimum viable product (MVP). Conduct market research.

Strategy 290
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Declarative Knowledge Graph APIs

Ontotext

If you are familiar with object-relational/ RDF ( ORM ) mapping, the idea of adding a layer between a database and the applications that use it should sound very familiar to you. The platform includes a sophisticated query/mutation invocation layer that understands the requested objects, properties and relationships.

Modeling 130
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Fearing the Wrong Thing

O'Reilly on Data

Spending more time on these things—and leaving the details of pushing out lines of code to an AI—will surely improve the quality of the products we deliver. It isn’t a step towards some new paradigm, whether functional, object oriented, or hyperdimensional. Now, let’s take a really long term view.

Testing 263
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Accelerate SQL code migration from Google BigQuery to Amazon Redshift using BladeBridge

AWS Big Data

The Converter works by doing the following: Parsing the source SQL files and analyzing the code semantically Applying the appropriate translation rules and patterns to convert source database code to the target, in this case, Google BigQuery to Amazon Redshift The out-of-the-box code handles most conversions.

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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

Entities are the nodes in the graph — these can be people, events, objects, concepts, or places. Hence, the graph model can be applied productively and effectively in numerous network analysis use cases. The relationships between the nodes are the edges in the graph.

Metadata 250
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The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Ontotext

The Semantic Web, both as a research field and a technology stack, is seeing mainstream industry interest, especially with the knowledge graph concept emerging as a pillar for data well and efficiently managed. But what exactly are we talking about when we talk about the Semantic Web? Source: tag.ontotext.com.