Microsoft System Center Data Protection Manager 2012 SP1Microsoft System Center Data Protection Manager is a centralized data protection solution. DPM is used for data protection and recovery for Microsoft workloads.
Data Protection Manager allows backup and recovery of Microsoft Workloads, including SQL Server, Exchange, Sharepoint, Client Computers, and Hyper-V. Enabling disk and tape-based backup methods, DPM also allows central management of the system state and “Bare-Metal Recovery”.
Microsoft System Center Data Protection Manager 2012 SP1 is a guide for administrators of System Center Data Protection Manager. By the end of this book, users will be able to carry out automated installs, migrate DPM to new hardware, set up custom reporting, use the DPM central console, and implement offsite DPM strategies such as chaining, monitoring, and cyclic protection. ...
Oracle Data Guard 11gR2 AdministrationData Guard is the high availability, disaster recovery and data replication solution for Oracle Databases.
With the huge growth of Data Guard it's getting harder to encounter an Oracle DBA not dealing with Data Guard. Since it's a common DBA task to provide high availability of databases, Data Guard is a must-know topic for every Oracle Database Administrator.
Oracle Data Guard 11g R2 Beginner's Administration Guide is a practical guide that provides all the information you will need to configure and maintain Data Guard. This book will show you what Data Guard can really do. ...
Oracle Data Integrator 11g CookbookOracle Data Integrator (ODI) is Oracle's strategic data integration platform for high-speed data transformation and movement between different systems. From high-volume batches, to SOA-enabled data services, to trickle operations, ODI is a cutting-edge platform that offers heterogeneous connectivity, enterprise-level deployment, and strong administrative, diagnostic, and management capabilities.
Oracle Data Integrator 11g Cookbook will take you on a journey past your first steps with ODI to a new level of proficiency, lifting the cover on many of the internals of the product to help you better leverage the most advanced features. ...
Data Manipulation with ROne of the most important aspects of computing with data is the ability to manipulate it to enable subsequent analysis and visualization. R offers a wide range of tools for this purpose. Data from any source, be it flat files or databases, can be loaded into R and this will allow you to manipulate data format into structures that support reproducible and convenient data analysis.
This practical, example-oriented guide aims to discuss the split-apply-combine strategy in data manipulation, which is a faster data manipulation approach. After reading this book, you will not only be able to efficiently manage and check the validity of your datasets with the split-apply-combine strategy, but you will also learn to handle larger datasets. ...
Doing Data ScienceNow that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that's so clouded in hype? This insightful book, based on Columbia University's Introduction to Data Science class, tells you what you need to know.
In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you're familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. ...
Core DataLearn the Apple Core Data APIs from the ground up. With Core Data, you can concentrate on designing the model for your application, and use the power of Core Data to do the rest. This book will take you from Core Data fundamentals to expert configurations that you will not find anywhere else. Together we'll walk through a fullfeatured application based on the Mac OS X Core Data API. ...
Core Data, 2nd EditionCocoa expert Marcus Zarra walks you through developing a full-featured application based around the Core Data APIs. You'll build up a single application throughout the book, learning key Core Data principles such as NSPredicate, thread management, and memory management.
You'll start with the basics of Core Data and learn how to use it to develop your application. Then you'll delve deep into the details of the API. You'll explore not only how to get Core Data integrated into your application properly, but even better, how to work with the API's flexibility to create convenience methods to improve your application's maintainability. ...
Communicating Data with TableauGo beyond spreadsheets and tables and design a data presentation that really makes an impact. This practical guide shows you how to use Tableau Software to convert raw data into compelling data visualizations that provide insight or allow viewers to explore the data for themselves.
Ideal for analysts, engineers, marketers, journalists, and researchers, this book describes the principles of communicating data and takes you on an in-depth tour of common visualization methods. You'll learn how to craft articulate and creative data visualizations with Tableau Desktop 8.1 and Tableau Public 8.1. ...
Mastering Clojure Data AnalysisClojure is a Lisp dialect built on top of the Java Virtual Machine. As data increasingly invades more and more parts of our lives, we continually need more tools to deal with it effectively. Data can be organized effectively using Clojure data tools.
Mastering Clojure Data Analysis teaches you how to analyze and visualize complex datasets. With this book, you'll learn how to perform data analysis using established scientific methods with the modern, powerful Clojure programming language with the help of exciting examples drawn from real-world data. This will help you get to grips with advanced topics such as network analysis, the characteristics of social networks, applying topic modeling to get a handle on unstructured textual data, and GIS analysis to apply geospatial techniques to your data analysis problems. ...
Learning iCloud Data ManagementAs apps rapidly move into business and the cloud, iOS and OS X developers need new data management techniques. In Learning iCloud Data Management, renowned Apple database expert Jesse Feiler shows you how to use Apple's latest APIs and technologies to structure and synchronize all forms of data. Feiler helps you understand the issues, implement efficient solutions, and deliver highly usable apps that seamlessly synchronize during the “Round Trip” between iOS and OS X and back again.
This guide walks you through integrating several key Apple data management technologies, including the Address Book and Calendar APIs. Feiler shows you how to structure data so it's easy to build great Cocoa and Cocoa Touch user interfaces and to quickly incorporate reliable iCloud syncing. Step by step, you'll discover how to blend Apple's standard application data structures with your own user data to create a feature-rich and fully syncable environment. ...