This guide covers all the methods from Microsoft for building client/server systems in the Internet - or on Intranets - using Microsoft technology. Technologies include: database - Microsoft Access and SQL Server; application programming interface - Java and Visual J++; and network operating system - Windows NT. The book shows how to make them work together.

Building Internet Client/Server Systems: Windows NT/Sql Server, Microsoft Access, Active X

Computers & Technology

Sankar, Krishna

Networking & Cloud Computing

McGraw–Hill Education

The "most comprehensive, accurate, forward-thinking guide to Java" has been updated extensively for version 1.1. First-time Java programmers get an overview of Java language constructs and Java applets. Explore Java classes, packages, modifiers, GUIs, exception handling, animation, and multithreading. Experienced Java developers will master the new and exciting capabilities of version 1.1, including JavaBeans, the JDK 1.1 event model, distributed objects, RMI, serialization, and security and cryptography. The companion CD supplies all of the book's code, plus valuable Java tools and utilities.

Mastering Java 1.1

RIES, Eric

Phillips, Ivan

Zukowski, John

Heller, Philip

Vanhelsuwe, Laurence

Hsu, Goang-Tay

McGloughlin, John

Sybex, Inc.

A complete guide to the platforms, hardware, software, and applications used in developing and maintaining an internal web site covers installation and configuration, HTML, search engines, multimedia, and security. Original. (Advanced).

Running a Perfect Intranet

Weber, Joe

Calabria, Jane

Greene, Simeon

Casselberry, Rich

Baker,David

Ramasubramanian, Kannan

Benett, Gordon

O'Donnel, Jim

Rigg, Jeff

Schramm, David

Verschuren, Ian

Que Pub

This book provides detailed coverage of advanced Java topics for experienced users. It focuses on answering specific questions with useful applications, combinations of technologies for more advanced applications, and real world practical advice. The CD contains all of the code and tools used in the book as well as additional tools and examples.

Hacking Java: The Java Professional's Resource Kit

Wutka, Mark

Boswell, David

Cartwright, Ken

Liebke, David Edgar

Lockwood, Tom

Matsuba, Stephen

Menyhert, George

Software

Sankar, Krishna, Baird, Geoffrey, Doherty, Don, Falla, Rob, Farrar, Brian, Honeycutt, Jerry, O'Donnell, Jim

Internet Explorer Plug-In and Activex Companion

O'Donnell, Jim

Honeycutt, Jerry

Farrar, Brian

Doherty, Don

Falla, Rob

Baird, Geoffrey

Web Development & Design

Featuring completely up-to-date coverage based on the final release of the 1.1 Java Developer's Kit (JDK), this book/CD-ROM package includes comprehensive coverage of advanced topics such as Java/database integration, Java development environments, and the details of all aspects of the Java API. The CD-ROM contains over 100 Java applets, all verified to run under Java 1.1.

Special Edition Using Java 1.1

Williams, Scott

Stone, Christopher

Carpenter, Joe

Wooldridge, Andrew

Costa, Jamie

Hemrajani, Anil

Liu, Alan S.

Olin, Jordan

Rowley, Bill

Seshadri, Govind

Walnum, Clay

Programming Languages

Java 1.2 Class Libraries Unleashed takes you beyond introductory discussions of the technology, giving you an annotated class library reference with code examples and professional programming techniques. With this book you will obtain the skills, understanding, and breadth of knowledge you need to unleash the full potential of Java 1.2 Class Libraries.  Examines specifications, major vendors' libraries, compilers, and SDKs Serves as a nuts-and-bolts, code-level book for programmers who want to use Java Class Libraries Shows readers how to use and create class libraries to meet their personalized needs

Java 1.2 Class Libraries Unleashed

An introduction to next-generation web technologies This is a comprehensive, candid introduction to Web 2.0 for every executive, strategist, technical professional, and marketer who needs to understand its implications. The authors illuminate the technologies that make Web 2.0 concepts accessible and systematically identify the business and technical best practices needed to make the most of it. You’ll gain a clear understanding of what’s really new about Web 2.0 and what isn’t. Most important, you’ll learn how Web 2.0 can help you enhance collaboration, decision-making, productivity, innovation, and your key enterprise initiatives. The authors cut through the hype that surrounds Web 2.0 and help you identify the specific innovations most likely to deliver value in your organization. Along the way, they help you assess, plan for, and profit from user-generated content, Rich Internet Applications (RIA), social networking, semantic web, content aggregation, cloud computing, the Mobile Web, and much more. This is the only book on Web 2.0 that: <ul>
<li>Covers Web 2.0 from the perspective of every participant and stakeholder, from consumers to product managers to technical professionals </li>
<li>Provides a view of both the underlying technologies and the potential applications to bring you up to speed and spark creative ideas about how to apply Web 2.0 </li>
<li>Introduces Web 2.0 business applications that work, as demonstrated by actual Cisco® case studies </li>
<li>Offers detailed, expert insights into the technical infrastructure and development practices raised by Web 2.0 </li>
<li>Previews tomorrow’s emerging innovations—including “Web 3.0,” the Semantic Web </li>
<li>Provides up-to-date references, links, and pointers for exploring Web 2.0 first-hand</li> </ul> Krishna Sankar, Distinguished Engineer in the Software Group at Cisco, currently focuses on highly scalable Web architectures and frameworks, social and knowledge graphs, collaborative social networks, and intelligent inferences. Susan A. Bouchard is a senior manager with US-Canada Sales Planning and Operations at Cisco. She focuses on Web 2.0 technology as part of the US-Canada collaboration initiative. <ul>
<li>Understand Web 2.0’s foundational concepts and component technologies </li>
<li>Discover today’s best business and technical practices for profiting from Web 2.0 and Rich Internet Applications (RIA) </li>
<li>Leverage cloud computing, social networking, and user-generated content </li>
<li>Understand the infrastructure scalability and development practices that must be address-ed for Web 2.0 to work </li>
<li>Gain insight into how Web 2.0 technologies are deployed inside Cisco and their business value to employees, partners, and customers</li> </ul> This book is part of the Cisco Press® Fundamentals Series. Books in this series introduce networking professionals to new networking technologies, covering network topologies, example deployment concepts, protocols, and management techniques. Category: General Networking Covers: Web 2.0

Enterprise Web 2.0 Fundamentals

Bouchard, Susan

Mancini, Dennis

Cisco Systems

Perform real-time analytics using Spark in a fast, distributed, and scalable way About This Book<ul>
<li>Develop a machine learning system with Spark's MLlib and scalable algorithms</li>
<li>Deploy Spark jobs to various clusters such as Mesos, EC2, Chef, YARN, EMR, and so on</li>
<li>This is a step-by-step tutorial that unleashes the power of Spark and its latest features</li>
</ul>Who This Book Is ForFast Data Processing with Spark - Second Edition is for software developers who want to learn how to write distributed programs with Spark. It will help developers who have had problems that were too big to be dealt with on a single computer. No previous experience with distributed programming is necessary. This book assumes knowledge of either Java, Scala, or Python.What You Will Learn<ul>
<li>Install and set up Spark on your cluster</li> <li>Prototype distributed applications with Spark's interactive shell</li> <li>Learn different ways to interact with Spark's distributed representation of data (RDDs)</li> <li>Query Spark with a SQL-like query syntax</li> <li>Effectively test your distributed software</li> <li>Recognize how Spark works with big data</li> <li>Implement machine learning systems with highly scalable algorithms</li> </ul>In DetailSpark is a framework used for writing fast, distributed programs. Spark solves similar problems as Hadoop MapReduce does, but with a fast in-memory approach and a clean functional style API. With its ability to integrate with Hadoop and built-in tools for interactive query analysis (Spark SQL), large-scale graph processing and analysis (GraphX), and real-time analysis (Spark Streaming), it can be interactively used to quickly process and query big datasets.
Fast Data Processing with Spark - Second Edition covers how to write distributed programs with Spark. The book will guide you through every step required to write effective distributed programs from setting up your cluster and interactively exploring the API to developing analytics applications and tuning them for your purposes.

Fast Data Processing With Spark: Perform Real-time Analytics Using Spark in a Fast, Distributed, and Scalable Way

Karau, Holden

Packt Pub Ltd

Key Features
<ul>
<li>A quick way to get started with Spark – and reap the rewards</li>
<li>From analytics to engineering your big data architecture, we’ve got it covered</li>
<li>Bring your Scala and Java knowledge – and put it to work on new and exciting problems</li>
</ul>Book DescriptionWhen people want a way to process big data at speed, Spark is invariably the solution. With its ease of development (in comparison to the relative complexity of Hadoop), it’s unsurprising that it’s becoming popular with data analysts and engineers everywhere.
Beginning with the fundamentals, we’ll show you how to get set up with Spark with minimum fuss. You’ll then get to grips with some simple APIs before investigating machine learning and graph processing – throughout we’ll make sure you know exactly how to apply your knowledge.
You will also learn how to use the Spark shell, how to load data before finding out how to build and run your own Spark applications. Discover how to manipulate your RDD and get stuck into a range of DataFrame APIs. As if that’s not enough, you’ll also learn some useful Machine Learning algorithms with the help of Spark MLlib and integrating Spark with R. We’ll also make sure you’re confident and prepared for graph processing, as you learn more about the GraphX API.What you will learn<ul>
<li>Install and set up Spark in your cluster</li>
<li>Prototype distributed applications with Spark's interactive shell</li>
<li>Perform data wrangling using the new DataFrame APIs</li>
<li>Get to know the different ways to interact with Spark's distributed representation of data (RDDs)</li>
<li>Query Spark with a SQL-like query syntax</li>
<li>See how Spark works with big data</li>
<li>Implement machine learning systems with highly scalable algorithms</li>
<li>Use R, the popular statistical language, to work with Spark</li>
<li>Apply interesting graph algorithms and graph processing with GraphX</li>
</ul>About the AuthorKrishna Sankar is a Senior Specialist—AI Data Scientist with Volvo Cars focusing on Autonomous Vehicles. His earlier stints include Chief Data Scientist at http://cadenttech.tv/, Principal Architect/Data Scientist at Tata America Intl. Corp., Director of Data Science at a bioinformatics startup, and as a Distinguished Engineer at Cisco. He has been speaking at various conferences including ML tutorials at Strata SJC and London 2016, Spark Summit [goo.gl/ab30lD], Strata-Spark Camp, OSCON, PyCon, and PyData, writes about Robots Rules of Order [goo.gl/5yyRv6], Big Data Analytics—Best of the Worst [goo.gl/ImWCaz], predicting NFL, Spark [http://goo.gl/E4kqMD], Data Science [http://goo.gl/9pyJMH], Machine Learning [http://goo.gl/SXF53n], Social Media Analysis [http://goo.gl/D9YpVQ] as well as has been a guest lecturer at the Naval Postgraduate School. His occasional blogs can be found at https://doubleclix.wordpress.com/. His other passion is flying drones (working towards Drone Pilot License (FAA UAS Pilot) and Lego Robotics—you will find him at the St.Louis FLL World Competition as Robots Design Judge.Table of Contents<ol>
<li>Installing Spark and Setting Up Your Cluster</li>
<li>Using the Spark Shell</li>
<li>Building and Running a Spark Application</li>
<li>Creating a SparkSession Object</li>
<li>Loading and Saving Data in Spark</li>
<li>Manipulating Your RDD</li>
<li>Spark 2.0 Concepts</li>
<li>Spark SQL</li>
<li>Foundations of Datasets/DataFrames – The Proverbial Workhorse for DataScientists</li>
<li>Spark with Big Data</li>
<li>Machine Learning with Spark ML Pipelines</li>
<li>GraphX</li>
</ol>

Fast Data Processing with Spark 2

Programming

Packt Publishing

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