Snowflake Data Analyst

In this role specific course covers how to explore, load, visualize and extract insights from the Snowflake Platform. This course will consist of lecture, labs, and discussions.

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In this role specific course covers how to explore, load, visualize and extract insights from the Snowflake Platform. This course will consist of lecture, labs, and discussions.

 
Learning Objectives:
 

By the end of this class you will be able to:

  • Overview of Snowflake key features & architecture
  • Load and work with new datasets
  • Query and inspect data using SQL core constructs
  • Discuss query caching performance capabilities
  • Perform advanced and high-performing data analytic tasks
  • Review key SQL extensibility features
  • Employ best practices for working with semi-structured data
  • Visualizing data outside of Snowflake
 

Course content

 

Snowflake Architecture and Overview
  • Snowflake Overview
  • Architecture 101 & ecosystem
  • How to use the Snowflake UI
Data Movement
  • Ingesting new data into Snowflake Tables
  • Working with various SQL Data Types
  • Discussing streaming data & using external data lakes
  • Ingestion best practices
Querying Data with SQL
  • View the Schema
  • Filtering data examples & best practices
  • Sorting data & performance considerations
  • Commonly used functions
  • Save & export data output
  • Time Travel queries
Query Caching Performance Features
  • Result set cache
  • Metadata cache
  • Query data cache
  • Best practices of using caching for performance and cost optimization
Performing Data Analytic Tasks
  • Using Snowflakes high-performing approximation and estimation features
  • Join and Union queries & tuning techniques
  • Perform advanced analytic tasks using additional SQL querying capabilities including subqueries, common table expressions, and analytic functions.
Using Snowflakes SQL Extensibility Features
  • User-defined functions
  • Stored Procedures
  • Regular Views & Secured Views
Working with Semi-Structured Data
  • Data source formats
  • Support of native data types
  • SQL Operations (Grouping, Sorting & more)
  • Built-in functions for traversing, flattening, and nesting of semi-structured data
Visualizing Data
  • Connecting a BI Tool to Snowflake
  • Exploring & Visualizing data outside of Snowflake

 

To see the full course content Download now

Course Prerequisites

 
  • Basic knowledge of SQL is required

Who can attend

 
  • Data Analysts/Business Intelligence users

Number of Hours: 25hrs

Certification

Certified Data Analyst

Key features

  • One to One Training
  • Online Training
  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Virtual Live Experience
  • Preparing for Certification

FAQs

DASVM Technologies offers 300+ IT training courses with 10+ years of Experienced Expert level Trainers.

  • One to One Training
  • Online Training
  • Fastrack & Normal Track
  • Resume Modification
  • Mock Interviews
  • Video Tutorials
  • Materials
  • Real Time Projects
  • Materials
  • Preparing for Certification

Call now: +91-99003 49889 and know the exciting offers available for you!

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