SQL Server 2014 Development Essentials. Design, implement, and deliver a successful database solution with Microsoft SQL Server 2014

Basit A. Masood-Al-Farooq

Efficient Algorithm Design. Unlock the power of algorithms to optimize computer programming

Masoud Makrehchi

Efficient Algorithm Design redefines algorithms, tracing the evolution of computer science as a discipline bridging natural science and mathematics. Author Masoud Makrehchi, PhD, with his extensive experience in delivering publications and presentations, explores the duality of computers as mortal hardware and immortal algorithms. The book guides you through essential aspects of algorithm design and analysis, including proving correctness and the importance of repetition and loops. This groundwork sets the stage for exploring algorithm complexity, with practical exercises in design and analysis using sorting and search as examples. Each chapter delves into critical topics such as recursion and dynamic programming, reinforced with practical examples and exercises that link theory with real-world applications. What sets this book apart is its focus on the practical application of algorithm design and analysis, equipping you to solve real programming challenges effectively.By the end of this book, you’ll have a deep understanding of algorithmic foundations and gain proficiency in designing efficient algorithms, empowering you to develop more robust and optimized software solutions.

Taking SketchUp Pro to the Next Level. Go beyond the basics and develop custom 3D modeling workflows to become a SketchUp ninja

Aaron Dietzen aka 'The SketchUp Guy'

Anyone who’s worked with it will know that SketchUp is the quickest and easiest way to create 3D models. While its approachable interface makes it super easy to learn, this book will show you how the extremely capable SketchUp software can take you far beyond what you may have initially thought possible. Get ready to level up from a basic user to becoming a SketchUp ninja!Each chapter will take you through the capabilities of SketchUp, challenging you to use tools in innovative ways. This includes organizing your model, modifying native commands, customizing your interface, utilizing inferencing, and much more. Additionally, you’ll learn about the extensions that can be added to SketchUp to supplement the tools you have been using, allowing you to make your 3D modeling process quicker, easier, and more powerful.By the end of this SketchUp book, you’ll have an enhanced understanding of how to use the impressive range of tools and be on your way to customizing SketchUp for your one-of-a-kind workflow.

Apache Flume: Distributed Log Collection for Hadoop. If your role includes moving datasets into Hadoop, this book will help you do it more efficiently using Apache Flume. From installation to customization, it's a complete step-by-step guide on making the service work for you

Steve Hoffman, Steven Hoffman, Kevin A. McGrail

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.

Distributed Machine Learning with Python. Accelerating model training and serving with distributed systems

Guanhua Wang

Reducing time cost in machine learning leads to a shorter waiting time for model training and a faster model updating cycle. Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put your Python development knowledge to work to get up and running with the implementation of distributed machine learning, including multi-node machine learning systems, in no time. You'll begin by exploring how distributed systems work in the machine learning area and how distributed machine learning is applied to state-of-the-art deep learning models. As you advance, you'll see how to use distributed systems to enhance machine learning model training and serving speed. You'll also get to grips with applying data parallel and model parallel approaches before optimizing the in-parallel model training and serving pipeline in local clusters or cloud environments. By the end of this book, you'll have gained the knowledge and skills needed to build and deploy an efficient data processing pipeline for machine learning model training and inference in a distributed manner.

Natural Language Processing with Java and LingPipe Cookbook. Over 60 effective recipes to develop your Natural Language Processing (NLP) skills quickly and effectively

Frederick Baldwin, Krishna Dayanidhi

Instant SQL Server Analysis Services 2012 Cube Security. Analyze and secure cubes in the SQL Server 2012 development environment in no time using this hands-on guide

Satya SK Jayanty, Satya Shyam K Jayanty

SQL Server 2012 includes BI-specific features such as cube analytics, reporting-related features, multidimensional BI semantic models, and many more. This is a new addition that is of great use to Business Analysts, who can now build BI semantic models using the relational tables from the database engine rather than the dimensions from analysis services.Instant Microsoft SQL Server Analysis Services 2012 Cube Security is a practical, hands-on guide that provides clear, step-by-step recipes for getting started with cube security. As a Database Administrator and Data Architect, data security is of prime concern, and this book highlights the key concepts of securing cubes. By the end of this book, you will understand the SQL Server security model and how to effectively implement the same on the data platform.Security is paramount within a data platform, and thankfully, the issues surrounding data access can be fixed in the initial stages of its design. This allows you to avoid any breach of data access layers. The recipes in this book consist of the required ingredients to implement and administer OLAP & BI security management for your cubes. With this book, you will master the key aspects of implementing and managing security essentials and securing data layers.The recipes in this book incorporate best practice implementation, which include step-by-step instructions for creating models that implement security based on the currently logged on Windows user name or based on custom data passed to analysis services. The new BI platform features will help end users, business users, and technology users by providing a robust environment for IT, planning, budgeting, forecasting with scorecards, and reporting capabilities for the business users. These analytics will help end users to create a comprehensive management application to view the data with ease.

Extending Jenkins. Get a complete walkthrough of the many interfaces available in Jenkins with the help of real-world examples to take you to the next level with Jenkins

Donald Simpson

Jenkins CI is the leading open source continuous integration server. It is written in Java and has a wealth of plugins to support the building and testing of virtually any project. Jenkins supports multiple Software Configuration Management tools such as Git, Subversion, and Mercurial.This book explores and explains the many extension points and customizations that Jenkins offers its users, and teaches you how to develop your own Jenkins extensions and plugins.First, you will learn how to adapt Jenkins and leverage its abilities to empower DevOps, Continuous Integration, Continuous Deployment, and Agile projects. Next, you will find out how to reduce the cost of modern software development, increase the quality of deliveries, and thereby reduce the time to market. We will also teach you how to create your own custom plugins using Extension points.Finally, we will show you how to combine everything you learned over the course of the book into one real-world scenario.