Ideal for teams that…
Hands-on AI and data analytics workshops — built around your team's real cases.
How to design, implement, and manage data warehouses in Amazon Redshift, Google BigQuery, and Snowflake.
How to optimize queries and improve performance in data warehouses.
How to integrate data warehouses with other tools and cloud services.
How to monitor, manage, and scale data warehouses in a production environment.
What we actually do
- · Data warehouse architecture: concepts and components
- · Comparison of traditional and cloud-based data warehouses
- · Architecture and basic features of Redshift
- · Loading data into Redshift
- · Creating tables and writing SQL queries
- · Architecture and basic features of BigQuery
- · Importing data
- · Creating and executing SQL queries
- · Implementing basic operations in Redshift and BigQuery
- · Query optimization and performance analysis
- · Architecture and basic features of Snowflake
- · Loading data, creating structures, and writing SQL queries
- · Performance optimization techniques in Redshift, BigQuery, and Snowflake
- · Scaling data warehouses and resource management
- · Implementing advanced operations in Snowflake
- · Integrating data warehousing tools with other cloud services
- · Preparing and deploying data warehouses in production environments
- · Monitoring, managing, and maintaining data warehouses
From brief to retro in 30 days.
Brief & diagnosis
A call with the team lead + a short survey for participants. We define goals, gap and context.
Program customization
We adapt modules, case studies and code examples to your stack. Approval in 5 days.
Workshop
Trainer-led sessions, hands-on, code review. Mentor available between sessions too.
Retro + report
Outcome report for the team and lead. 30 days of consulting included.
Send a brief. We'll reply within 1 day.
After a short brief we'll prepare a program and a quote. No obligations — it's just a starting point.
Thank you!
We'll get back to you within 1 business day.
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