Blog Tags: Data Integration
Navigating the Digital Seas: How Snowflake’s External Access Integration Streamlines Maritime Data Management
The maritime industry is increasingly adopting digital transformation to manage vast amounts of data from ships, sensors, weather, and third-party APIs. Snowflake’s External Access Integration simplifies this process by allowing seamless integration of real-time data without duplication. Read on to know how this feature works in practice and how it supports better, data-driven outcomes in the maritime sector.
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Building Trusted Data: A Comprehensive Guide to Tiger Analytics’ Snowflake Native Data Quality Framework
Challenges in data quality are increasingly hindering organizations, with issues like poor integration, operational inefficiencies, and lost revenue opportunities. A 2024 report reveals that 67% of professionals don’t fully trust their data for decision-making. To tackle these problems, Tiger Analytics developed a Snowflake native Data Quality Framework, combining Snowpark, Great Expectations, and Streamlit. Explore how the framework ensures scalable, high-quality data for informed decision-making.
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Implementing Context Graphs: A 5-Point Framework for Transformative Business Insights
This comprehensive guide outlines three phases: establishing a Knowledge Graph, developing a Connected Context Graph, and integrating AI for auto-answers. Learn how this framework enables businesses to connect data points, discover patterns, and optimize processes. The article also presents a detailed roadmap for graph implementation and discusses the integration of Large Language Models with Knowledge Graphs.
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Tiger’s Snowpark-Based Framework for Snowflake: Illuminating the Path to Efficient Data Ingestion
In the era of AI and machine learning, efficient data ingestion is crucial for organizations to harness the full potential of their data assets. Tiger’s Snowpark-based framework addresses the limitations of Snowflake’s native data ingestion methods, offering a highly customizable and metadata-driven approach that ensures data quality, observability, and seamless transformation.
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Patient Services: Pharma’s Answer to Supporting Patients with Rare Diseases
From ‘drug providers’ to becoming a ‘care partner’ and creating a powerful support system. Read how some Pharma companies are utilizing AI and ML to offer patients of rare diseases and their caregivers much-needed support during their very difficult patient journey
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Revolutionizing Business Intelligence: Trends, Tools, and Success Stories Unveiled by Tiger’s BI Framework
Uncover Modern BI’s impact with real-world cases. Learn how embedded BI resolves scattered stacks, harnessing Big Data for insights. Explore Tiger’s BI Framework, Dashboard Program, and Metadata Extractor, enabling data democratization for transformative solutions.
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