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Advanced Course

Snowflake for Data Practitioners

Snowflake for Data Practitioners

Take your Snowflake expertise to the next level!

Course Duration

2-3 Days Course

Designed for

Data Analysts & Data Engineers

Class Size

Tailor-made groups, also available for individuals

Instructors

senior professionals from Vision.bi

Is it for me?

If you are a data analyst or data engineer, this is the fastest way to get an overview of Snowflake, plus hands-on experiences through our workshops, taught by senior
professionals who will share best practices, business examples and more.

Who is teaching the course?

The course is taught by senior professionals fromVision.bi, a boutique data and analytics consultancy thatcombines technical and business expertise to deliver data solutions that help businesses grow.

How do I register?

Courses are held for groups, and they can be done in person or online. Register your interest here and we will get back to you with information on the next available dates.

What will I learn?

Getting Started with Snowflake

Understanding Snowflake's architecture.
Using warehouses effectively. Exploring key features and foundational security principles.

Designing your Snowflake Solution

9 Table Types - When to use what?
Loading Data into Snowflake-Working with stages and file formats.
Performing data transformations during data loading. 
Streaming and near-real-time analytics.

Handling Semi-Structured Data

Using variant columns to manage semi-structured data. Working with arrays and objects. Flattening and unwrapping nested data structures.

Advanced SQL Features in Snowflake

Mastering window functions.
Exploring unique SQL capabilities in Snowflake.

Creating UDFs and Stored Procedures

SQL Stored procedures. UDF & UDTF. Snowflake UDFs and stored procedures limitations.

Dynamic Data Masking and Access Control

Implementing dynamic data masking and policies. Using row-level security (RLS) and tagging for data governance.

Empowering Data Scientists with Snowflake

Leveraging Snowflake’s Data Science capabilities, including integration with Python and ML functions.

Streamlit & Native Apps

Different methods of developing and deploying apps. First steps with Streamlit.

Leveraging LLMs and Document AI in Snowflake

Exploring Snowflake’s integration with large language models (LLMs) and Document AI, document processing. Cortex Analyst & Advanced AI-driven analytics.

Query optimization - Understanding query profiler 

A walkthrough of Snowflake’s query profiler, how to interact with it, and how to interpret its metrics and flow.

Cost control and optimization technique 

Controlling costs and budgets using Snowsight.
Tagging objects and queries. Cost analytics using Arctica.ai.

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