// 4 courses indexed
The course directory
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Master Performance Optimization and Utilities in Teradata
Master Performance Optimization and Utilities in Teradata is a comprehensive course aimed at enhancing participants' skills in optimizing database performance and utilizing Teradata utilities effectively. The course is divided into three modules, covering advanced database optimization techniques, Teradata utilities overview, and implementing Teradata solutions. Module 1: Database Optimization Techniques Module 1 focuses on advanced database objects and performance optimization strategies. In Lesson 1, "Advanced Database Objects and Performance Optimization," participants will explore views,
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Performance Optimization and Scalability
This course focuses on performance optimization and scalability in application development. You'll learn key techniques like caching, query optimization, and load balancing while using Microsoft Copilot to improve application code and database query performance. By the end of the course, you will be able to… Define the concepts and importance of caching, query optimization, and principles of scalability in application performance Explain how to implement in-memory and distributed caching, indexing strategies, and architectural patterns for scalability Describe techniques for analyzing quer
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Unsafe Code in .NET: Memory Management and Optimization
"Unsafe Code in .NET: Memory Management and Optimization"" is ideal for intermediate .NET developers looking to optimize performance using unsafe code. In this 1-hour project-based course, you will learn how to implement performance optimization techniques, develop practical skills in utilizing unsafe code concepts, and understand best practices for safe usage. To achieve this, we will work through tasks such as setting up a .NET project with unsafe code, managing an order book using pointer types, implementing fixed and moveable variables for price notifications, and processing trading orders
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Optimizing Spark and Cloud Data Storage for Analytics
You will master advanced performance optimization techniques for large-scale data processing using Apache Spark and cloud storage technologies. In this hands-on course, you'll learn to diagnose and resolve performance bottlenecks that plague distributed data systems, implement strategic partitioning and caching strategies that can improve job performance by 30% or more, and design secure, cost-effective cloud data infrastructure. You will gain expertise in transactional data lake technologies like Delta Lake, evaluate storage formats to optimize analytical workloads, and provision enterprise-
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