Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Data transmission systems --- Automatic data collection systems --- Data collection systems, Automatic --- Factory data acquisition systems, Automatic --- Factory monitoring systems, Automatic --- In-plant data collection systems, Automatic --- Automation --- Communication in management --- Standards.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Automatic data collection systems --- -Data collection systems, Automatic --- Factory data acquisition systems, Automatic --- Factory monitoring systems, Automatic --- In-plant data collection systems, Automatic --- Automation --- Communication in management --- Data transmission systems --- Standards --- -Standards --- Acquisition automatique des données --- Data collection systems, Automatic --- Acquisition automatique des données

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The second edition of this highly successful text focuses on the major changes that have taken place in this field in recent times. Data Acquisition Techniques Using PCs, Second Edition, recognises that data acquisition is the core of most engineering and many life science systems in measurement and instrumentation. It will prove invaluable to scientists, engineers, students and technicians wishing to keep up with the latest technological developments.* Teaches the reader how to set up a PC-based system that measures, analyzes, and controls experiments and processes through detailed de

Microcomputers. --- Automatic data collection systems. --- Computer interfaces. --- Interfaces, Computer --- Data collection systems, Automatic --- Factory data acquisition systems, Automatic --- Factory monitoring systems, Automatic --- In-plant data collection systems, Automatic --- Home computers --- Micro computers --- Micros (Microcomputers) --- PCs (Microcomputers) --- Personal computers --- Small computers --- Computer input-output equipment --- Interface circuits --- Automation --- Communication in management --- Data transmission systems --- Minicomputers

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

A SCADA system gathers information, such as where a leak on a pipeline has occurred, transfers the information back to a central site, alerting the home station that the leak has occurred, carrying out necessary analysis and control, such as determining if the leak is critical, and displaying the information in a logical and organized fashion. SCADA systems can be relatively simple, such as one that monitors environmental conditions of a small office building, or incredibly complex, such as a system that monitors all the activity in a nuclear power plant or the activity of a municipal water sy

Automatic data collection systems. --- Supervisory control systems. --- Control systems, Supervisory --- SCADA systems --- Supervisory control and data acquisition systems --- Process control --- Remote control --- Data collection systems, Automatic --- Factory data acquisition systems, Automatic --- Factory monitoring systems, Automatic --- In-plant data collection systems, Automatic --- Automation --- Communication in management --- Data transmission systems

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Master the art of getting the maximum out of your machine data using Splunk About This Book A practical and comprehensive guide to the advanced functions of Splunk,, including the new features of Splunk 6.3 Develop and manage your own Splunk apps for greater insight from your machine data Full coverage of high-level Splunk techniques including advanced searches, manipulations, and visualization Who This Book Is For This book is for Splunk developers looking to learn advanced strategies to deal with big data from an enterprise architectural perspective. It is expected that readers have a basic understanding and knowledge of using Splunk Enterprise. What You Will Learn Find out how to develop and manage apps in Splunk Work with important search commands to perform data analytics on uploaded data Create visualizations in Splunk Explore tweaking Splunk Integrate Splunk with any pre-existing application to perform data crunching efficiently and in real time Make your big data speak with analytics and visualizations using Splunk Use SDK and Enterprise integration with tools such as R and Tableau In Detail Master the power of Splunk and learn the advanced strategies to get the most out of your machine data with this practical advanced guide. Make sense of the hidden data of your organization ? the insight of your servers, devices, logs, traffic and clouds. Advanced Splunk shows you how. Dive deep into Splunk to find the most efficient solution to your data problems. Create the robust Splunk solutions you need to make informed decisions in big data machine analytics. From visualizations to enterprise integration, this well-organized high level guide has everything you need for Splunk mastery. Start with a complete overview of all the new features and advantages of the latest version of Splunk and the Splunk Environment. Go hands on with uploading data, search commands for basic and advanced analytics, advanced visualization techniques, and dashboard customizing. Discover how to tweak Splunk to your needs, and get a complete on Enterprise Integration of Splunk with various analytics and visualization tools. Finally, discover how to set up and use all the new features of the latest version of Splunk. Style and approach This book follows a step by step approach. Every new concept is built on top of its previous chapter, and it is full of examples and practical scenarios to help the reader experiment as they read.

Big data. --- Data mining. --- Automatic data collection systems. --- Data collection systems, Automatic --- Factory data acquisition systems, Automatic --- Factory monitoring systems, Automatic --- In-plant data collection systems, Automatic --- Automation --- Communication in management --- Data transmission systems --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Data sets, Large --- Large data sets --- Data sets