Snowpark Archives - Tiger Analytics

Blog Tags: Snowpark

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.

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.

How to Simplify Data Profiling and Management with Snowpark and Streamlit

Learn why data quality is one of the most overlooked aspects of data management. While all models need good quality data to generate useful insights and patterns, data quality is especially important. In this blog, we explore how data profiling can help you understand your data quality. Discover how Tiger Analytics leverages Snowpark and Streamlit to simplify data profiling and management.

Solving Merchant Identity Extraction in Finance: Snowpark’s Data Engineering Solution

Learn how a fintech leader solved merchant identification challenges using Snowpark and local testing. This case study showcases Tiger Analytics’ approach to complex data transformations, automated testing, and efficient development in financial data processing. Discover how these solutions enhanced fraud detection and revenue potential.

A Practical Guide to Setting Up Your Data Lakehouse across AWS, Azure, GCP and Snowflake

Explore the evolution from Enterprise Data Warehouses to Data Lakehouses on AWS, Azure, GCP, and Snowflake. This comparative analysis outlines key implementation stages, aiding organizations in leveraging modern, cloud-based Lakehouse setups for enhanced BI and ML operations.