Let's explore some best practices to follow when creating tables in Snowflake to ensure maintainability, performance, and data quality. 1. Naming conventions Always use clear, consistent names for your tables an
It combines data management practices such as data ingestion, integration, modeling, or governance for data management. These practices help you strategically reduce a dataset’s size by removing irrelevant information and streamlining all your business data. Some of the reasons that make master data...
Snowflake Data Engineeringreveals how Snowflake makes it easy to work with unstructured data, set up continuous ingestion with Snowpipe, and keep your data safe and secure with best-in-class data governance features. Along the way, you’ll practice the most important data engineering tasks as yo...
Performance Optimization:Ensuring optimal query performance can be tricky, especially as your data volume grows. How to Overcome It:Learn query optimization techniques and best practices. Make use of Snowflake’s automatic scaling capabilities to handle large workloads efficiently. Regularly monitor and ...
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The drivers behind the decision to migrate from a self-managed data lake to Snowflake. The data lake components that must be migrated and their counterparts in Snowflake. In this post, you will learn: Best practices for migrating your data and the pitfalls to avoid. ...
Daily practices: 3 hours of focused SQL and data modeling Documentation reading and note-taking Query review and optimization Problem-solving exercises Weekly goals: Complete one significant data project Write technical documentation Participate in Snowflake community discussions Create a portfolio entry Revi...
Over the years I have had hundreds of calls and meetings with organizations around the world discussing this topic from just basic Data Vault 101 type questions to best practices to who is doing Data Vault on Snowflake. Because of that we developed aData Vault Resource Kitthat points you to ...
you will progress from the basics of the Snowflake data pipeline and ETL processes through best practices for Snowflake query optimization to onboarding users with the right access controls to ensure your data stays safe and secure. You’ll also learn how to share data outside of Snowflake. ...
Query unstructured data in Snowflake as commonly done in Retrieval Augmented Generation (RAG) applications. Cortex Analyst: Query structured data in Snowflake via rich semantic modeling. Cortex Complete: Chat-completion with optional parameters using any of Cortex-supported LLMs When a user prompts th...