Snowflake Advanced Training Course
After completing the advanced Snowflake training, participants will have the following knowledge and skills:
Advanced Knowledge of Snowflake Architecture: Understanding the details of Snowflake's architecture, including the operation of data warehouses and data storage optimization.
Advanced Management and Optimization of SQL Queries: The ability to write complex SQL queries, optimize query performance, and use advanced SQL features.
Security and Permissions Management: Knowledge about implementing and managing data security in Snowflake, including access management, encryption, and auditing.
Automation and Integration with Other Systems: Understanding how to automate processes using Snowpipe and integrate Snowflake with ETL/ELT tools, Big Data systems, and APIs.
Advanced Data Processing and Analysis: The ability to use Snowflake for advanced data processing, including data streaming, predictive and statistical analysis, and machine learning.
Cost Optimization and Resource Management: Knowledge on efficient cost management in Snowflake, including resource scaling and usage monitoring.
Problem Solving and Best Practices: The ability to identify and solve common problems, as well as apply best practices in performance, security, and data management.
Course Outline
I. Advanced Architecture and Optimization
Advanced Snowflake Architecture (2 hours)
- Inside Snowflake: MPP and its Advantages
- Data Storage: Micro-partitioning and Compression
- Clusters and their Management
Data Management and Security
- Time Travel and Fail-safe: Practical Applications
- Access Management and Data Security
- Monitoring and Auditing
Advanced SQL Features and Analysis
- Advanced SQL Queries: Window, Recursive
- Using UDFs and Stored Procedures
- Predictive and Statistical Analysis
Practical Workshops and Case Studies
- Solving Real Business Problems
- Query Optimization and Cost Management
II. Integration, Automation, and Advanced Solutions
Integration with External Systems (2 hours)
- Integration with ETL/ELT tools
- Connections with Big Data systems (e.g., Hadoop, Spark)
- Utilizing Snowflake APIs
Automation and Orchestration (2 hours)
- Process Automation with Snowpipe
- Orchestration using External Tools (e.g., Airflow)
- Practical Automation Examples
Advanced Data Processing (2 hours)
- Streaming Data Processing
- Machine Learning and AI with Snowflake
- Working with Large Data Sets
Workshops and Q&A Session (2 hours)
- Practical Application of Acquired Knowledge
- Problem Solving and Challenges
- Discussion and Experience Sharing
Requirements
Basic Knowledge of Snowflake, Experience in SQL, Basics of Data Processing, Understanding of Data Security, Experience with Other Cloud Technologies, Understanding of Data Analysis, Programming Skills, Practical Experience with Snowflake
Audience:
- Data Analysts
- Data Engineers
- Database Administrators (DBAs)
- Big Data Engineers
- Cloud Solutions Architects
- Developers and Programmers
- Business Intelligence (BI) Specialists
- IT Project Managers
Open Training Courses require 5+ participants.
Snowflake Advanced Training Course - Booking
Snowflake Advanced Training Course - Enquiry
Snowflake Advanced - Consultancy Enquiry
Consultancy Enquiry
Testimonials (5)
Deepthi was super attuned to my needs, she could tell when to add layers of complexity and when to hold back and take a more structured approach. Deepthi truly worked at my pace and ensured I was able to use the new functions /tools myself by first showing then letting me recreate the items myself which really helped embed the training. I could not be happier with the results of this training and with the level of expertise of Deepthi!
Deepthi - Invest Northern Ireland
Course - IBM Cognos Analytics
how the trainor shows his knowledge in the subject he's teachign
john ernesto ii fernandez - Philippine AXA Life Insurance Corporation
Course - Data Vault: Building a Scalable Data Warehouse
Share example of application
Course - Alteryx for Data Analysis
Very clearly articulated and explained
Harshit Arora - PwC South East Asia Consulting
Course - Alteryx for Developers
Linear regression - the algorithm to predict the trend
Vincent Ko - UBS
Course - Data Preparation with Alteryx
Provisional Courses
Related Courses
Advanced Data Integration and Visualization with Looker Studio
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at intermediate-level participants who wish to master advanced data integration and visualization techniques in Looker Studio, and learn how to connect diverse data sources, design compelling dashboards, and automate reporting workflows to drive better business decisions.
By the end of this training, participants will be able to:
- Connect and integrate multiple data sources into Looker Studio.
- Create custom metrics and calculated fields for tailored analysis.
- Design advanced visualizations, including interactive filters and charts.
- Automate reporting workflows for real-time data updates.
- Apply best practices for visual storytelling and report customization.
Alteryx for Data Analysis
7 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at data analysts who wish to use Alteryx for data processing and data visualization.
By the end of this training, participants will be able to:
- Leverage Alteryx to improve business intelligence and business analytics.
- Perform ETL operations with zero code.
- Visualize data with a data analytical suite, such as Excel.
Alteryx for Developers
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at data scientists who wish to use Alteryx for data analysis.
By the end of this training, participants will be able to:
- Prepare data in Alteryx to later visualize in Power BI or Excel.
- Create and Perform ETL operations with little to no code.
- Embed custom R code inside Alteryx.
Cognos 11
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at intermediate-level data analysts who wish to understand the theoretical aspects of Cognos 11 and also learn how to use it effectively.
By the end of this training, participants will be able to:
- Understand the differences and enhancements in Cognos 11 compared to Cognos 10.
- Utilize the improved data module and data management features for more efficient data handling.
- Implement best practices for a smooth transition and optimal use of Cognos 11.
Cognos Analytics for Finance: Certification Preparation
28 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at beginner-level to advanced-level consultants and finance professionals who wish to prepare for the Cognos Analytics certification and gain expertise in financial data analysis, including modules for accounts payable, treasury, and expenses.
By the end of this training, participants will be able to:
- Navigate and utilize the Cognos Analytics interface efficiently.
- Develop and customize financial reports and dashboards.
- Manage data models and optimize queries.
- Prepare for the Cognos Analytics certification exam.
Data Preparation with Alteryx
7 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at data scientists who wish to use Alteryx to prepare data for visualization and analysis.
By the end of this training, participants will be able to:
- Preapre data with Alteryx to visualize later.
- Perform ETL operations with zero code.
- Leverage Alteryx to improve business intelligence and business analytics.
Data Vault: Building a Scalable Data Warehouse
28 HoursIn this instructor-led, live training in Poland, participants will learn how to build a Data Vault.
By the end of this training, participants will be able to:
- Understand the architecture and design concepts behind Data Vault 2.0, and its interaction with Big Data, NoSQL and AI.
- Use data vaulting techniques to enable auditing, tracing, and inspection of historical data in a data warehouse.
- Develop a consistent and repeatable ETL (Extract, Transform, Load) process.
- Build and deploy highly scalable and repeatable warehouses.
Excel and Google Sheets
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at beginner-level to intermediate-level professionals who wish to enhance their productivity and efficiency by leveraging the advanced features of Excel and Google Sheets for data organization, analysis, and collaboration.
By the end of this training, participants will be able to:
- Navigate and utilize the core features of Excel and Google Sheets.
- Perform data analysis and create actionable insights using advanced spreadsheet techniques.
- Collaborate in real-time using Google Sheets for seamless teamwork.
- Create reusable templates for reporting, tracking, and project management.
Google Sheets for Excel Users
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at data analysts who wish to use Google Sheets for data analysis.
By the end of this training, participants will be able to:
- Build spreadsheets with Google Sheets.
- Use formulas that work both in Google Sheets and Excel.
- Format and analyze any data.
- Create data visualizations with charts and graphs.
IBM Cognos Analytics
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at business analysts who wish to use IBM Cognos for data analysis and reporting.
By the end of this training, participants will be able to:
- Analyze and share insights about data.
- Visualize business performance.
- Use AI-assisted preparation to cleanse and combine data sources.
- Uncover hidden patterns in data with IBM Cognos Analytics built in AI features.
Getting Started with Looker Studio
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at beginner-level to intermediate-level participants who wish to build foundational skills for data visualization and reporting using Looker Studio, and learn how to connect data sources, visualize information effectively, and gain actionable insights.
By the end of this training, participants will be able to:
- Understand the core features of Looker Studio and its use cases.
- Set up Looker Studio and connect to various data sources.
- Create engaging dashboards with charts, graphs, and filters.
- Customize reports for specific audiences and business needs.
- Collaborate on and share dashboards effectively.
Business Intelligence and Data Analysis with Metabase
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at data analysts and data scientists who wish to use Metabase to collect, query, and visualize data for business intelligence analysis and reporting.
By the end of this training, participants will be able to:
- Set up and install Metabase to start building data visualizations and dashboards.
- Learn how to query, aggregate, and visualize data in Metabase.
- Use the features and tools in Metabase to write SQL queries.
- Build analytics charts and dashboards to get business insights.
- Know the best practices and tips on using Metabase and resolving common issues.
QlikView for Business Users
7 HoursIn this instructor-led, live training in Poland (online or onsite), participants will learn how to use QlikView to support decision making in their organization.
By the end of this training, participants will be able to:
- Install and configure QlikView.
- Analyze and display data using QliKView.
- Use data discoveries from QlikView to support decision making.
QlikView for Developers
14 HoursIn this instructor-led, live training in Poland (online or onsite), participants will learn how to start developing with QlikView.
By the end of this training, participants will be able to:
- Install and configure QlikView.
- Transform data from various sources through QlikView scripting.
- Build data models with QlikView.
Data Analysis with Redash
14 HoursThis instructor-led, live training in Poland (online or onsite) is aimed at data scientists and developers who wish to use Redash to run SQL-based queries and visualize data from multiple sources.
By the end of this training, participants will be able to:
- Set up and install Redash to start creating data visualizations and dashboards.
- Connect Redash to different data sources such as Postgres, MongoDB, Databricks, etc.
- Learn how to query and combine complex data from multiple database sources.
- Write and execute SQL queries and build collaborative data visualizations and dashboards.
- Use Redash's API endpoints to enable integrations with other web applications.