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Webinar: Unlocking OSINT’s potential with visual link analysis

Cambridge Intelligence

OSINT is about understanding the connections between individuals, entities, and events hidden within vast datasets. The graph data model is a natural fit, helping investigators make sense of even the most complex datasets. Thats where visual link analysis comes in.

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How to Integrate SAP Data With Snowflake

phData

Even if organizations survive a migration to S/4 and HANA cloud, licensing and performance constraints make it difficult to perform advanced analytics on this data within the SAP environment. Challenges With Moving SAP Data Given all of the advantages detailed above, if it was easy to move your SAP data to Snowflake, we would not be here.

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Data Fabric & Data Mesh: Two Approaches, One Data-Driven Destiny

Heartbeat

Data should be designed to be easily accessed, discovered, and consumed by other teams or users without requiring significant support or intervention from the team that created it. Data should be created using standardized data models, definitions, and quality requirements. on Twitter: "Data is addictive!

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AI in 2025: Five Defining Themes

Flipboard

Instead, AI agents will proactively respond to business events such as incoming customer inquiries, supply chain disruptions, or demand surges. In the future, users will not even need to trigger an action. They will automatically prepare a decision workflow as far as they can before pinging the human user for feedback.

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Most Common Use Cases of Data Engineering in Healthcare

phData

In Australia, the government’s healthcare branch uses Data Integration Partnership for Australia (DIPA) to identify adverse events. Norway is also making use of big data analytics to keep track of national health trends. Through big data models, hospitals can identify trends that guide smart decision-making.

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dbt Labs’ Coalesce 2023 Recap

phData

Enhanced Collaboration: dbt Mesh fosters a collaborative environment by using cross-project references, making it easy for teams to share, reference, and build upon each other’s work, eliminating the risk of data silos. These jobs can be triggered via schedule or events, ensuring your data assets are always up-to-date.

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData

Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? For years, we’ve been obsessed with creating these grand, top-down customer data models. Yeah, that one.