Blog Tags: Data Automation

Building Dynamic

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.

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Integrating Custom Partitions

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.

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Illuminating The Path To Efficient Data Ingestion

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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Invisible Threat

Invisible Threats, Visible Solutions: Integrating AWS Macie and Tiger Data Fabric for Ultimate Security

Data defenses are now fortified against potential breaches with the Tiger Data Fabric-AWS Macie integration, automating sensitive data discovery, evaluation, and protection in the data pipeline for enhanced security. Explore how to integrate AWS Macie into a data fabric.

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Enabling Fivetran 15 1

Enabling Fivetran Transformations for dbt – a step-by-step approach

Fivetran’s integration with dbt Core in September 2020 has made the transformations for dbt Core available. Learn how you can take advantage of a best-in-class automated cloud data integration experience in a single environment.

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