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Data Integration Patterns in Knowledge Graph Building with GraphDB

Ontotext

This idea is the premise of Christopher Alexander’s book A Pattern Language: Towns, Buildings, Construction , which became very influential in both construction and computer science after its publication in 1977. The second approach is to use some Data Integration Platform. Please note that your platform may not natively support RDF.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

For the downstream consumption by all departments across the organization, smava’s Data Platform team prepares curated data products following the extract, load, and transform (ELT) pattern. The data products from the Business Vault and Data Mart stages are now available for consumers.

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What is a Data Pipeline?

Jet Global

Data Extraction : The process of gathering data from disparate sources, each of which may have its own schema defining the structure and format of the data and making it available for processing. This can include tasks such as data ingestion, cleansing, filtering, aggregation, or standardization.

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Unlocking Trino’s Full Potential With Simba Drivers for BI & ETL

Jet Global

Trino allows users to run ad hoc queries across massive datasets, making real-time decision-making a reality without needing extensive data transformations. This is particularly valuable for teams that require instant answers from their data. Data Lake Analytics: Trino doesn’t just stop at databases.

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Save Time and Stress with Dynamics Data Merging from Atlas

Jet Global

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

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Discover Efficient Data Extraction Through Replication With Angles Enterprise for Oracle

Jet Global

A simple drag-and-drop interface automates SQL code for you, eliminating the need for cumbersome IT projects to cleanse, transform and structure data. Empower your team to add new data sources on the fly.