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Duration 14 hours
Course Outline
Foundations of Databricks and Financial Applications
- Exploring the Databricks ecosystem and its components.
- An overview of standard workflows in financial data analysis.
- Illustrative examples: risk modeling, financial reporting, and audit trail analysis.
Initiating Work with Databricks Notebooks
- Establishing and navigating notebook interfaces.
- Executing Python and SQL code within Databricks.
- Utilizing comments and version history for effective collaboration.
Data Importation and Refinement
- Importing financial records from CSV files, databases, and API sources.
- Employing Spark DataFrames for data cleaning and preprocessing.
- Managing null values and identifying outliers.
Manipulation and Aggregation of Financial Data
- Computing key performance indicators (KPIs) and financial ratios.
- Applying filters, grouping logic, and pivoting tables.
- Processing time series data and resampling intervals.
Visualizing Financial Insights
- Building dashboards using Databricks’ built-in visualization tools.
- Adapting charts to meet specific finance reporting requirements.
- Exporting visual assets for executive presentations or regulatory compliance reviews.
Query Optimization and Delta Lake Implementation
- Understanding the architectural design of Delta Lake.
- Ensuring data integrity through ACID transactions.
- Enhancing query performance via data partitioning strategies.
Team Collaboration, Automation, and Distribution
- Configuring access controls and permissions for financial teams.
- Scheduling automated jobs for consistent reporting.
- Securing the export of data and analytical results.
Conclusion and Recommended Next Steps
Requirements
- A solid grasp of fundamental data analysis principles.
- Proficiency in either Python or SQL.
- Working knowledge of financial data structures and reporting standards.
Target Audience
- Financial analysts and business intelligence experts.
- Data professionals specializing in the financial services industry.
- Data engineers providing technical support to financial teams.
