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Data Teams and Their Types of Data Journeys

DataKitchen

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

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Usability and Connecting Threads: How Data Fabric Makes Sense Out of Disparate Data

Ontotext

After all, when businesses lack domain context, and unified semantics hinder data usage within the organization, a data fabric approach can be a game-changer. Major goals of data fabric include: Create smart semantic data integration and engineering: with governed access to improve findability and comprehensibility of data.

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Are You Harnessing the Power of SaaS BI Tools for Dynamic Data Access?

FineReport

Unpacking the Essentials of SaaS BI Tools In the realm of SaaS BI tools , the comprehensive set of features and functionalities offered by these cloud-based solutions enables businesses to harness the full potential of their data.

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The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges. The fragmented nature of healthcare systems often results in disparate data sources that hinder efficient decision-making processes.

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Improve healthcare services through patient 360: A zero-ETL approach to enable near real-time data analytics

AWS Big Data

AWS has invested in a zero-ETL (extract, transform, and load) future so that builders can focus more on creating value from data, instead of having to spend time preparing data for analysis.

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Knowledge Graphs for Retail – Connecting People, Products and Platforms

Ontotext

Whether using recent purchases data in a recommendation system or geo-spatial data to suggest the best and the fastest delivery for a given product, this connected data enables deeper understanding of the relationships between the products and the consumer’s intent.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.