concrete5 Beginner’s Guide

Book Description:

Concrete5 is a content management system for PHP developers. It can be used to build a range of sites and is particularly optimized for creating marketing websites.
The Concrete5 Beginner’s Guide will show you how to get up and running with Concrete5 as quickly and painlessly as possible. Taking you from installation to deployment, this is the only reference that you will need for creating your new Concrete5 site
By using a number of real-world examples, as well as taking you through the set up of a sample site, this book will enable you to become familiar with all of Concrete5’s features. Use add-ons, themes, and blocks to give your site the look-and-feel that you desire. Simple PHP will enable you to customize the layout and navigation options of your site, as well extend the dashboard giving you a fully functional, professional site in no time.
A step-by-step guide to creating professional, feature-rich sites with Concrete5
 

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Data Processing, DATABASES, PACKT,

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Introduction to HPC with MPI for Data Science

Book Description:

This gentle introduction to High Performance Computing (HPC) for Data Science using the Message Passing Interface (MPI) standard has been designed as a first course for undergraduates on parallel programming on distributed memory models, and requires only basic programming notions.
Divided into two parts the first part covers high performance computing using C++ with the Message Passing Interface (MPI) standard followed by a second part providing high-performance data analytics on computer clusters.
In the first part, the fundamental notions of blocking versus non-blocking point-to-point communications, global communications (like broadcast or scatter) and collaborative computations (reduce), with Amdalh and Gustafson speed-up laws are described before addressing parallel sorting and parallel linear algebra on computer clusters. The common ring, torus and hypercube topologies of clusters are then explained and global communication procedures on these topologies are studied. This first part closes with the MapReduce (MR) model of computation well-suited to processing big data using the MPI framework.
In the second part, the book focuses on high-performance data analytics. Flat and hierarchical clustering algorithms are introduced for data exploration along with how to program these algorithms on computer clusters, followed by machine learning classification, and an introduction to graph analytics. This part closes with a concise introduction to data core-sets that let big data problems be amenable to tiny data problems.
Exercises are included at the end of each chapter in order for students to practice the concepts learned, and a final section contains an overall exam which allows them to evaluate how well they have assimilated the material covered in the book.

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Data Mining, DATABASES, Springer,

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IBM DB2 9.7 Advanced Application Developer Cookbook

Book Description:

With lots of new features, DB2 9.7 delivers one the best relational database systems in the market. DB2 pureXML optimizes Web 2.0 and SOA applications.
DB2 LUW database software offers industry leading performance, scale, and reliability on your choice of platform on various Linux distributions, leading Unix Systems like AIX, HP-UX and Solaris and MS Windows platforms.
This DB2 9.7 Advanced Application Developer Cookbook will provide an in-depth quick reference during any application’s design and development.
This practical cookbook focuses on advanced application development areas that include performance tips and the most useful DB2 features that help in designing high quality applications. This book dives deep into tips and tricks for optimized application performance.
With this book you will learn how to use various DB2 features in database applications in an interactive way.

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Cookbook, DATABASES, PACKT,

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Data Wrangling with Python

Book Description:

How do you take your data analysis skills beyond Excel to the next level? By learning just enough Python to get stuff done. This hands-on guide shows non-programmers like you how to process information that’s initially too messy or difficult to access. You don’t need to know a thing about the Python programming language to get started.

Through various step-by-step exercises, you’ll learn how to acquire, clean, analyze, and present data efficiently. You’ll also discover how to automate your data process, schedule file- editing and clean-up tasks, process larger datasets, and create compelling stories with data you obtain.

• Quickly learn basic Python syntax, data types, and language concepts
• Work with both machine-readable and human-consumable data
• Scrape websites and APIs to find a bounty of useful information
• Clean and format data to eliminate duplicates and errors in your datasets
• Learn when to standardize data and when to test and script data cleanup
• Explore and analyze your datasets with new Python libraries and techniques
• Use Python solutions to automate your entire data-wrangling process

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Data Mining, DATABASES, O'Reilly,

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BPEL PM and OSB Operational Management with Oracle Enterprise Manager 10g Grid Control

Book Description:

This book is a step-by-step tutorial on how to automate the management of BPEL Process manager, SOA Suite, and Oracle Service Bus. Each chapter has a problem-solution approach, starting with a real-world problem and then providing the solution to the problem using illustrative examples This book is written for BPEL and OSB administrators who deal with Oracle BPEL Process Manager, Oracle SOA Suite, or Oracle Service Bus in a production environment and who need to automate operational tasks. If you are an SOA architect or associated with SOA governance, this book will serve as an eye opener for the many available features to provide production assurance in complex SOA environments. A general awareness of Service-Oriented Architecture is expected, as well as an awareness of Oracle SOA products such as BPEL Process Manager and Oracle Service Bus. No specific management or operational expertise is required.

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DATABASES, Oracle, PACKT,

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Android Database Programming

Book Description:

Exploit the power of data-centric and data-driven Android applications with this practical tutorial Master the skills to build data-centric Android applications Go beyond just code by challenging yourself to think about practical use-cases with SQLite and others Focus on flushing out high level design concepts, before drilling down into different code examples In Detail We live in an increasingly data-centric and data-driven world. On top of that we live in a very mobile-centric world with the rise of Android smart phones and tablet devices and the surge in demand for the Android platform. Along with the demand for more data, there is a demand for efficient, “snappy” applications, and so developers need to have a strong understanding of when different data storage methods are appropriate and when they are not. Mastering how to use these two fields to successfully create a powerful application will help you boost your knowledge and skills in this area. “Android Database Programming” is designed to help developers create and design data-centric mobile applications on Google’s Android platform. As the world goes increasingly mobile and as consumers’ demand for data-centric applications rises, knowing how to combine the two effectively will become an increasingly important asset to have as a developer. The book starts by looking at the various local data storage methods on Android, and finishes off by examining external databases and ways you can utilize them from within an Android application. This book starts by looking at local data storage methods, focusing on writing SQLite databases for your application and also looking at ways to bind these databases to the user interface. The book, through its practical approach, strives to teach you by examples. Each chapter focuses on flushing out high level design concepts, before drilling down into different code examples. As you continue you will look at external databases

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DATABASES, PACKT,

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Beginning Neo4j

Book Description:

Beginning Neo4j is your introduction in the world of graph databases, and the benefits they can bring to your applications. Neo4j is the most established graph database on the market, and it’s always improving to bring more of its benefits to you. This book will take you from the installation of Neo4j through to building a full application with Neo4j at its heart, and everything in between.
Using this book, you’ll get everything up and running, and then learn how to use Neo4j to build up recommendations, relationships, and calculate the shortest route between two locations. With example data models, best practices, and an application putting everything together, this book will give you everything you need to really get started with Neo4j.
Neo4j is being used by social media and ecommerce industry giants. You can take advantage of Neo4j’s powerful features and benefits – add Beginning Neo4j to your library today.

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Apress, Data Processing, DATABASES,

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Bazaar Version Control

Book Description:

Bazaar is a version control system that enables you to track your changes, browse the history of revisions, or revert to a previous state with ease. You can benefit greatly from the principles and practical uses of version control with Bazaar in any software project.

This book will walk you through the principles and basic and advanced operations of version control, taking a step-by-step approach covering increasingly complex topics and situations of collaboration. Packed with examples, the book aims to give you a thorough understanding of the subject in order to get you fully comfortable using this powerful, highly intuitive and consistent tool in any project and workflow thrown at you.

The book starts by introducing the fundamentals of version control to first-time users. After explaining the basic principles, we dive into action covering the various operations and workflows of version control using Bazaar. Topics are covered in increasing order of complexity from solo mode, peer-to-peer, centralized-style, and ultimately distributed-style. The book also covers advanced subjects such as integration with collaborative environments and other version control systems, as well as using Bazaar programmatically and creating plugins. This book will help you gain solid knowledge about version control and enable you to use Bazaar effectively in your projects.

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Data Processing, DATABASES, PACKT,

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Practical MongoDB

Book Description:

The “one-size-fits-all” thinking regarding traditional RDBMSs has been challenged in the last few years by the emergence of diversified NoSQL databases. More than 120 NoSQL databases are now available in the market, and the market leader by far is MongoDB. With so many companies opting for MongoDB as their NoSQL database of choice, there’s a need for a practical how-to combined with expert advice for getting the most out of the software.
Beginning with a short introduction to the basics of NoSQL databases, MongoDB experts Navin Sabharwal andShankatala Gupta Edward introduce readers to MongoDB – the leading document based NoSQL database, acquainting them step by step with all aspects of MongoDB. They cover the data model, underlying architecture, how to code using Mongo Shell, and administration of the MongoDB platform, among other topics. The book also provides clear guidelines and practical examples for architecting and developing applications using the MongoDB platform and deploying them. Database developers, architects, and database administrators will find useful information covering all aspects of the MongoDB platform and how to put it to use practically.
Practical Guide to MongoDB provides readers with:

• A solid understanding of NoSQL databases
• An understanding of how to get started with MongoDB
• Methodical coverage of the architecture, development, and administration of MongoDB

A plethora of “How to’s” enabling you to use the technology most efficiently to solve the problems you face
Practical MongoDB is for those just starting to learning to work with NoSQL databases in general and MongoDB in particular. Skills in these areas are in demand, making this book essential reading for those who want to work more productively or break into big data work. It will prove equally useful for entrepreneurs and others who like to work with new tech

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Apress, DATABASES, MongoDB, Network Administration, NETWORKING,

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Pro Docker

Book Description:

In this fast-paced book on the Docker open standards platform for developing, packaging and running portable distributed applications, Deepak Vorha

discusses how  to build, ship and run applications on any platform such as a PC, the cloud, data center or a virtual machine. He describes how to install and create Docker images. and the advantages off Docker containers.The remainder of the book is devoted  to discussing using Docker with important software solutions. He begins  by discussing using Docker with a traditional RDBMS using Oracle and MySQL.  Next he moves on to NoSQL with chapter on MongoDB Cassandra, and Couchbase.   Then he addresses the use of Docker in the Hadoop ecosystem with complete chapters on utilizing not only Hadoop, but Hive, HBase, Sqoop, Kafka, Solr and Spark.

What You Will Learn

• How to install a Docker image
• How to create a Docker container
• How to run an Application in a Docker Container
• Use Docker with Apache Hadoop Ecosystem
• Use Docker with NoSQL Databases
• Use Docker with RDBMS

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Apress, DATABASES,

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Apache Flume: Distributed Log Collection for Hadoop

Book Description:

Apache Flume is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data. Its main goal is to deliver data from applications to Apache Hadoop’s HDFS. It has a simple and flexible architecture based on streaming data flows. It is robust and fault tolerant with many failover and recovery mechanisms.
Apache Flume: Distributed Log Collection for Hadoop covers problems with HDFS and streaming data/logs, and how Flume can resolve these problems. This book explains the generalized architecture of Flume, which includes moving data to/from databases, NO-SQL-ish data stores, as well as optimizing performance. This book includes real-world scenarios on Flume implementation.
Apache Flume: Distributed Log Collection for Hadoop starts with an architectural overview of Flume and then discusses each component in detail. It guides you through the complete installation process and compilation of Flume.
It will give you a heads-up on how to use channels and channel selectors. For each architectural component (Sources, Channels, Sinks, Channel Processors, Sink Groups, and so on) the various implementations will be covered in detail along with configuration options. You can use it to customize Flume to your specific needs. There are pointers given on writing custom implementations as well that would help you learn and implement them.

• By the end, you should be able to construct a series of Flume agents to transport your streaming data and logs from your systems into Hadoop in near real time.

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DATABASES, PACKT,

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Big Data Analytics with Spark

Book Description:

Big Data Analytics with Spark is a step-by-step guide for learning Spark, which is an open-source fast and general-purpose cluster computing framework for large-scale data analysis. You will learn how to use Spark for different types of big data analytics projects, including batch, interactive, graph, and stream data analysis as well as machine learning. In addition, this book will help you become a much sought-after Spark expert.

Spark is one of the hottest Big Data technologies. The amount of data generated today by devices, applications and users is exploding. Therefore, there is a critical need for tools that can analyze large-scale data and unlock value from it. Spark is a powerful technology that meets that need. You can, for example, use Spark to perform low latency computations through the use of efficient caching and iterative algorithms; leverage the features of its shell for easy and interactive Data analysis; employ its fast batch processing and low latency features to process your real time data streams and so on. As a result, adoption of Spark is rapidly growing and is replacing Hadoop MapReduce as the technology of choice for big data analytics.

This book provides an introduction to Spark and related big-data technologies. It covers Spark core and its add-on libraries, including Spark SQL, Spark Streaming, GraphX, and MLlib. Big Data Analytics with Spark is therefore written for busy professionals who prefer learning a new technology from a consolidated source instead of spending countless hours on the Internet trying to pick bits and pieces from different sources.

The book also provides a chapter on Scala, the hottest functional programming language, and the program that underlies Spark. You’ll learn the basics of functional programming in Scala, so that you can write Spark applications in it.
What’s more, Big Data Analytics with Spark provides an introduction to other big data technologies that are commonly used along with Spark, like Hive, Avro, Kafka and so on. So the book is self-sufficient; all the technologies that you need to know to use Spark are covered. The only thing that you are expected to know is programming in any language.

There is a critical shortage of people with big data expertise, so companies are willing to pay top dollar for people with skills in areas like Spark and Scala. So reading this book and absorbing its principles will provide a boost―possibly a big boost―to your career.

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Apress, Big Data, DATABASES,

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Next Generation Databases: NoSQL, NewSQL, and Big Data

Book Description:

This is a book for enterprise architects, database administrators, and developers who need to understand the latest developments in database technologies. It is the book to help you choose the correct database technology at a time when concepts such as Big Data, NoSQL and NewSQL are making what used to be an easy choice into a complex decision with significant implications.

The relational database (RDBMS) model completely dominated database technology for over 20 years. Today this “one size fits all” stability has been disrupted by a relatively recent explosion of new database technologies. These paradigm-busting technologies are powering the “Big Data” and “NoSQL” revolutions, as well as forcing fundamental changes in databases across the board.

Deciding to use a relational database was once truly a no-brainer, and the various commercial relational databases competed on price, performance, reliability, and ease of use rather than on fundamental architectures. Today we are faced with choices between radically different database technologies. Choosing the right database today is a complex undertaking, with serious economic and technological consequences.

Next Generation Databases demystifies today’s new database technologies. The book describes what each technology was designed to solve. It shows how each technology can be used to solve real word application and business problems. Most importantly, this book highlights the architectural differences between technologies that are the critical factors to consider when choosing a database platform for new and upcoming projects.

• Introduces the new technologies that have revolutionized the database landscape

• Describes how each technology can be used to solve specific application or business challenges

• Reviews the most popular new wave databases and how they use these new database technologies

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Apress, Big Data, DATABASES, NoSQL,

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PHP 5 / MySQL Programming for the Absolute Beginner

Book Description:

This book is an introduction to programming with a specific focus on programming web servers with the PHP programming language. Much of the original content from the first edition (1931841322) will be retained, while also including updates relating to the upcoming PHP 5.0 release. Following the same format as the popular first edition, this book provides easy-to-follow instruction. Readers will use the concepts presented in the book to create games using PHP and MySQL. As each concept is put to the test, readers will acquire programming skills that will easily transition to real-world projects. A true beginner’s guide, this book enables readers to acquire programming skills that they will be able to use in the next language that they tackle.

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DATABASES, MySQL, PHP, WEB DEVELOPMENT,

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Web Programming with PHP and MySQL

Book Description:

Introductory textbook covering all the main features of the ‘web programming’ languages PHP and MySQL together with detailed examples that will enable readers (whether students on a taught course or independent learners) to use them to create their own applications or understand existing ones. A particular focus is the use of PHP to generate MySQL commands from a script as it is executed. Each chapter includes aims, a summary and practical exercises (with solutions) to support learning. Chapters are designed to stand alone as far as possible, so that they can be studied independently of the rest of the text by those with some previous knowledge of the languages. There is a comprehensive glossary of technical terms, together with extensive appendices for quick reference of language features.

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DATABASES, MySQL, PHP, Springer, WEB DEVELOPMENT,

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PHP & MySQL For Dummies, 4th Edition

Book Description:

Here’s what Web designers need to know to create dynamic, database-driven Web sites

To be on the cutting edge, Web sites need to serve up HTML, CSS, and products specific to the needs of different customers using different browsers. An effective e-commerce site gathers information about users and provides information they need to get the desired result.

PHP scripting language with a MySQL back-end database offers an effective way to design sites that meet these requirements. This full updated 4th Edition of PHP & MySQL For Dummies gets you quickly up to speed, even if your experience is limited.

• Explains the easy way to install and set up PHP and MySQL using XAMPP, so it works the same on Linux, Mac, and Windows
• Shows you how to secure files on a Web host and how to write secure code
• Packed with useful and understandable code examples for Web site creators who are not professional programmers
• Fully updated to ensure your code will be compliant based on PHP 5.3 and MySQL 5.1.31
• Provides clear, accurate code examples

PHP & MySQL For Dummies, 4th Edition provides what you need to know to create sites that get results.

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DATABASES, Dummies, MySQL, PHP, WEB DEVELOPMENT,

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Mastering IDEAScript, with WEBSITE

Book Description:

With approximately 44,000 users in the U.S. and Canada, as well as 42,000 in Europe, IDEA software has become a leading provider of data analysis software for use by auditors and accountants. Written to provide users with a quick access guide for optimal use of IDEAScript, Mastering IDEAScript: The Definitive Guide is IDEA’s official guide to mastering IDEAScript, covering essential topics such as Introducing IDEAScript, Understanding the Basics of IDEAScript Editor, Designing Structured Applications, Understanding IDEA Databases and much more. For auditors, accountants and controllers.

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Data Processing, DATABASES,

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Learning ELK Stack

Book Description:

The ELK stack―Elasticsearch, Logstash, and Kibana, is a powerful combination of open source tools. Elasticsearch is for deep search and data analytics. Logstash is for centralized logging, log enrichment, and parsing. Kibana is for powerful and beautiful data visualizations. In short, the Elasticsearch ELK stack makes searching and analyzing data easier than ever before.

This book will introduce you to the ELK (Elasticsearch, Logstash, and Kibana) stack, starting by showing you how to set up the stack by installing the tools, and basic configuration. You’ll move on to building a basic data pipeline using the ELK stack.

Next, you’ll explore the key features of Logstash and its role in the ELK stack, including creating Logstash plugins, which will enable you to use your own customized plugins. The importance of Elasticsearch and Kibana in the ELK stack is also covered, along with various types of advanced data analysis, and a variety of charts, tables ,and maps.

Finally, by the end of the book you will be able to develop full-fledged data pipeline using the ELK stack and have a solid understanding of the role of each of the components.

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DATABASES, PACKT,

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Oracle SOA Suite 12c Administrator’s Guide

Book Description:

Oracle SOA Suite 12 c is the most comprehensive and integrated infrastructure on the market today that is used for building applications based on service-oriented architecture. With the vast number of features and capabilities that Oracle SOA Suite 12c has to offer comes numerous complexities and challenges for administration. Oracle SOA Suite 12c Administrator’s Guide covers all the core areas of administration needed for you to effectively manage and monitor the Oracle SOA Suite environment and its transactions, from deployments, to monitoring, to performance tuning, and much, much more.

Manage, monitor, and troubleshoot SOA composites and OSB services from a single product set. Understand core administrative activities such as deployments, purging, startup and shutdown, configuration, backup, and recovery. Also learn about new features such as Oracle Enterprise Scheduler, lazy loading, work manager groups, high availability, and more.

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DATABASES, Oracle, PACKT,

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Big Data Analysis for Bioinformatics and Biomedical Discoveries

Book Description:

Demystifies Biomedical and Biological Big Data Analyses

Big Data Analysis for Bioinformatics and Biomedical Discoveries provides a practical guide to the nuts and bolts of Big Data, enabling you to quickly and effectively harness the power of Big Data to make groundbreaking biological discoveries, carry out translational medical research, and implement personalized genomic medicine. Contributing to the NIH Big Data to Knowledge (BD2K) initiative, the book enhances your computational and quantitative skills so that you can exploit the Big Data being generated in the current omics era.

The book explores many significant topics of Big Data analyses in an easily understandable format. It describes popular tools and software for Big Data analyses and explains next-generation DNA sequencing data analyses. It also discusses comprehensive Big Data analyses of several major areas, including the integration of omics data, pharmacogenomics, electronic health record data, and drug discovery.

Accessible to biologists, biomedical scientists, bioinformaticians, and computer data analysts, the book keeps complex mathematical deductions and jargon to a minimum. Each chapter includes a theoretical introduction, example applications, data analysis principles, step-by-step tutorials, and authoritative references.

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Big Data, CRC press, DATABASES,

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