Course Outline
I. Advanced Architecture and Optimization for Government
Advanced Snowflake Architecture (2 hours)
- Understanding Snowflake: MPP and Its Benefits
- Data Storage Techniques: Micro-partitioning and Compression
- Cluster Management Strategies
Data Management and Security
- Time Travel and Fail-safe: Real-World Applications
- Access Control and Data Security Measures
- Monitoring and Auditing Practices
Advanced SQL Features and Analysis
- Complex SQL Queries: Window, Recursive Functions
- Utilizing User-Defined Functions (UDFs) and Stored Procedures
- Predictive and Statistical Analysis Techniques
Practical Workshops and Case Studies
- Solving Real Government Business Problems
- Query Optimization and Cost Management Strategies
II. Integration, Automation, and Advanced Solutions for Government
Integration with External Systems (2 hours)
- Integrating with ETL/ELT Tools
- Connecting with Big Data Platforms (e.g., Hadoop, Spark)
- Leveraging Snowflake APIs
Automation and Orchestration (2 hours)
- Process Automation Using Snowpipe
- Orchestration with External Tools (e.g., Airflow)
- Practical Automation Scenarios
Advanced Data Processing (2 hours)
- Streaming Data Processing Techniques
- Machine Learning and AI Integration with Snowflake
- Managing Large Data Sets Efficiently
Workshops and Q&A Session (2 hours)
- Applying Acquired Knowledge in Practical Scenarios
- Addressing Challenges and Problem Solving
- Discussion and Experience Sharing for Government Professionals
Requirements
Basic Knowledge of Snowflake, Experience in SQL, Fundamentals of Data Processing, Understanding of Data Security, Familiarity with Other Cloud Technologies, Proficiency in Data Analysis, Programming Skills, Practical Experience with Snowflake for government applications.
Audience:
- Data Analysts
- Data Engineers
- Database Administrators (DBAs)
- Big Data Engineers
- Cloud Solutions Architects
- Developers and Programmers
- Business Intelligence (BI) Specialists
- IT Project Managers
Testimonials (4)
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
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