Description
Technics Publications Data Modeling Master Class Training Manual by Steve Hoberman
This is the eighth edition of the training manual for the Data Modeling Master Class that Steve Hoberman teaches onsite and through public classes. This text can be purchased prior to attending the Master Class, the latest course schedule and detailed description can be found on Steve Hoberman's website, stevehoberman.com._x000D__x000D_The Master Class is a complete data modeling course, containing three days of practical techniques for producing conceptual, logical, and physical relational and dimensional and NoSQL data models. After learning the styles and steps in capturing and modeling requirements, you will apply a best practices approach to building and validating data models through the Data Model Scorecard(R). You will know not just how to build a data model, but how to build a data model well. Three case studies and many exercises reinforce the material and will enable you to apply these techniques in your current projects._x000D__x000D_Top 5 Objectives_x000D__x000D_Determine how and when to use each data modeling component Apply techniques to elicit data requirements as a prerequisite to building a data model Build relational and dimensional conceptual, logical, and physical data models Incorporate supportability and extensibility features into the data model Assess the quality of a data model._x000D_ Table of contents : - _x000D_
Information Processing in Sensor Networks.- On the Many-to-One Transport Capacity of a Dense Wireless Sensor Network and the Compressibility of Its Data.- Distributed Sampling for Dense Sensor Networks: A "Bit-Conservation Principle".- Energy-Quality Tradeoffs for Target Tracking in Wireless Sensor Networks.- Adaptive and Decentralized Operator Placement for In-Network Query Processing.- Beyond Average: Toward Sophisticated Sensing with Queries.- Boundary Estimation in Sensor Networks: Theory and Methods.- Scalable Control of Decentralised Sensor Platforms.- Distributed Group Management for Track Initiation and Maintenance in Target Localization Applications.- Using Predictable Observer Mobility for Power Efficient Design of Sensor Networks.- Bounds on Achievable Rates for General Multi-terminal Networks with Practical Constraints.- Source-Channel Communication in Sensor Networks.- On Rate-Constrained Estimation in Unreliable Sensor Networks.- Collaborative Signal Processing for Distributed Classification in Sensor Networks.- Multi-target Sensor Management Using Alpha-Divergence Measures.- A Distributed Algorithm for Managing Multi-target Identities in Wireless Ad-hoc Sensor Networks.- Hypothesis Testing over Factorizations for Data Association.- Energy-Constrained Collaborative Processing for Target Detection, Tracking, and Geolocation.- Array Processing for Target DOA, Localization, and Classification Based on AML and SVM Algorithms in Sensor Networks.- Energy Based Acoustic Source Localization.- A Collaborative Approach to In-Place Sensor Calibration.- On the Error Characteristics of Multihop Node Localization in Ad-Hoc Sensor Networks.- Organizing a Global Coordinate System from Local Information on an Ad Hoc Sensor Network.- A Performance Evaluation of Intrusion-Tolerant Routing in Wireless Sensor Networks.- Scalable Decentralized Control for Sensor Networks via Distributed Lattices.- Coverage, Exploration, and Deployment by a Mobile Robot and Communication Network.- Distance Based Decision Fusion in a Distributed Wireless Sensor Network.- Maximum Mutual Information Principle for Dynamic Sensor Query Problems.- A Formalism for the Analysis and Design of Time and Path Diversity Schemes in Wireless Sensor Networks.- Sensor Placement for Isotropic Source Localization.- Mobicast: Just-in-Time Multicast for Sensor Networks under Spatiotemporal Constraints.- Sentry-Based Power Management in Wireless Sensor Networks.- Energy Aware Multi-path Routing for Uniform Resource Utilization in Sensor Networks.- Efficient and Fault-Tolerant Feature Extraction in Wireless Sensor Networks.- Event Detection Services Using Data Service Middleware in Distributed Sensor Networks.- Meteorology and Hydrology in Yosemite National Park: A Sensor Network Application.- Detection, Classification, and Collaborative Tracking of Multiple Targets Using Video Sensors.- Decentralised Ground Target Tracking with Heterogeneous Sensing Nodes on Multiple UAVs.- Power-Aware Acoustic Processing.- Distributed Environmental Monitoring Using Random Sensor Networks.- Characterization of Location Error in Wireless Sensor Networks: Analysis and Applications.- A Distributed Algorithm for Waking-up in Heterogeneous Sensor Networks.- Location Tracking in a Wireless Sensor Network by Mobile Agents and Its Data Fusion Strategies.- Acoustic Target Tracking Using Tiny Wireless Sensor Devices.- A Robust Data Delivery Protocol for Large Scale Sensor Networks._x000D_