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Starts 7 June 2025 18:27
Ends 7 June 2025
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1 hour 13 minutes
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Overview
Explore the integration of SQL Server Analysis Services with Hadoop, focusing on leveraging big data for enhanced business intelligence and analytics capabilities.
Syllabus
- Introduction to SQL Server Analysis Services (SSAS)
- Introduction to Hadoop
- Understanding Big Data in Business Intelligence
- Configuring SSAS for Hadoop Integration
- Data Import and Export between SSAS and Hadoop
- Leveraging Hive for Data Queries
- Building Analytical Models with Hadoop Data
- Performance Optimization for Large Scale Data
- Security and Data Governance
- Case Studies and Real-World Applications
- Tools and Resources
- Final Project
Overview of SSAS capabilities
Key concepts in multidimensional and tabular models
Fundamentals of Hadoop ecosystem
Hadoop Distributed File System (HDFS)
Overview of MapReduce and YARN
Importance of big data in analytics
Role of SSAS in business intelligence
Setting up SSAS for new data sources
Configuring data connections between SSAS and Hadoop
Techniques for importing big data into SSAS
Exporting processed data from SSAS to Hadoop
Introduction to Apache Hive
Querying Hadoop data with Hive
Integrating Hive queries into SSAS models
Designing multidimensional cubes with big data
Creating tabular models with Hadoop input
Optimizing SSAS performance for Hadoop datasets
Best practices for data processing efficiency
Ensuring data security in SSAS and Hadoop integration
Implementing data governance policies
Case studies of SSAS and Hadoop integration
Exploring real-world business intelligence solutions
Tools for SSAS and Hadoop integration
Additional learning resources
Practical implementation of SSAS and Hadoop integration
Presentation of project outcomes and insights
Subjects
Conference Talks