Blog Tags: Data Management
Building Dynamic Data Pipelines with Snowpark: Our Framework to Drive Modern Data Transformation
Learn about the challenges of traditional data transformation methods and how a dynamic approach using metadata configuration can help address these issues. By defining transformation rules and specifications, enterprises can create flexible pipelines that adapt to their evolving data processing needs, ultimately accelerating the process of extracting insights from data.
Read More
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.
Read More
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.
Read More
A Comprehensive Guide to Pricing and Licensing on Microsoft Fabric
This comprehensive guide explores Microsoft Fabric’s pricing strategies, including capacity tiers, SKUs, and tenant hierarchy, helping organizations optimize their data management costs. It breaks down the differences between reserved and pay-as-you-go models, explaining Capacity Units (CUs) and providing detailed pricing information. By understanding these pricing intricacies, businesses can make informed decisions to fully leverage their data across various functions, leading to more efficient operations and better customer experiences.
Read More
Advanced Data Strategies in Power BI: A Guide to Integrating Custom Partitions with Incremental Refresh
Explore advanced data management strategies in Power BI through a detailed examination of integrating Custom Partitions with Incremental Refresh to efficiently handle large datasets. Key benefits such as improved query performance, more efficient data refresh, and better data organization are outlined, along with a practical guide on implementing these strategies in Power BI environments.
Read More
Data-Driven Disruption? How Analytics is Shifting Gears in the Auto Market
The presence of legacy systems, regulatory compliance issues and sudden growth of the BEV/PHEV market are all challenges the automotive industry must face. Explore how Analytics can help future-proof their growth plans.
Read More
When Opportunity Calls: Unlocking the Power of Analytics in the BPO Industry
The BPO industry has embraced analytics to optimize profitability, efficiency, and customer satisfaction. This blog delves into the specifics of data utilization, unique challenges, and key business areas where analytics can make a difference.
Read More
CECL Loss Forecasting: Navigating Challenges and Seizing Opportunities
Address the complexities of CECL (Current Expected Credit Loss) forecasting, including the hurdles financial institutions face in implementing CECL standards. Understand the opportunities for improving risk assessment and decision-making processes with best practices for overcoming challenges to enhance financial stability and compliance.
Read More
Managing Parallel Threads: Techniques with Apache NiFi
Control parallel thread execution via Apache NiFi for efficient data flow management using new methods to optimize performance, handle concurrent tasks, and ensure system stability. Be equipped to enhance your data processing workflows with advanced threading strategies.
Read More
