Course description

Functional Dependencies and Normal Form - ER Model to Relational Model Maping - Storage Structures - Indexing Techniques Single Level - Indexing Techniques Multi-Level - Constraints and Triggers - Query Processing and Optimization - Transaction Processing Concepts - Transaction Processing and Database Manager - Foundation for Concurrency Control - Concurrency Control Part - 4Distributed Transaction Models - Basic 2-Phase and 3-phase commit protocol - Concurrency Control for Distributed Transaction - Introduction to Transaction Recovery - Recovery Mechanisms - Introduction to Data Warehousing nad OLAP - Case Study : MYSQL - Case Study ORACLE and Microsoft Access - Data Mining and Knowledge Discovery - Object Oriented Databases - XML - Introductory Concepts - XML Advanced Concepts - XML Databases - Case Study - Part One Database DesignCase Study

What will i learn?

Requirements

skill expert

Free

Lectures

43

Skill level

Beginner

Expiry period

Lifetime

Certificate

Yes

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Memory Systems

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Overview In this course, we first provide a comprehensive overview of memory systems, taking an approach that covers both fundamentals and recent research. We first introduce fundamental principles and ideas, covering DRAM and emerging memory technologies as well as many architectural concepts and ideas related to memory organization, memory control, processing-in-memory, and memory latency / energy / bandwidth / reliability / security / QoS. We discuss major challenges facing modern memory systems (and the computing platforms we currently design around the memory system) in the presence of greatly increasing demand for data and its fast analysis. We examine some promising research and design directions to overcome these challenges. On the research-related part of course (sprinkled across topical lectures), we discuss the following key research topics in detail, focusing on both open problems and potential solution directions: Fundamental issues in memory reliability and security and how to enable fundamentally secure, reliable, safe architectures Enabling data-centric and hence fundamentally energy-efficient architectures that are capable of performing computation near data Reducing both latency and energy consumption by tackling the fixed-latency/energy mindset Enabling emerging memory technologies Enabling predictable and QoS-aware memory systems Research challenges and opportunities in enabling emerging NVM (non-volatile memory) technologies Scaling NAND flash memory and SSDs (solid state drives) into the future

Free

22:36:25 Hours