Principles of Data Fabric. Become a data-driven organization by implementing Data Fabric solutions efficiently

Sonia Mezzetta

Data can be found everywhere, from cloud environments and relational and non-relational databases to data lakes, data warehouses, and data lakehouses. Data management practices can be standardized across the cloud, on-premises, and edge devices with Data Fabric, a powerful architecture that creates a unified view of data. This book will enable you to design a Data Fabric solution by addressing all the key aspects that need to be considered.The book begins by introducing you to Data Fabric architecture, why you need them, and how they relate to other strategic data management frameworks. You’ll then quickly progress to grasping the principles of DataOps, an operational model for Data Fabric architecture. The next set of chapters will show you how to combine Data Fabric with DataOps and Data Mesh and how they work together by making the most out of it. After that, you’ll discover how to design Data Integration, Data Governance, and Self-Service analytics architecture. The book ends with technical architecture to implement distributed data management and regulatory compliance, followed by industry best practices and principles.By the end of this data book, you will have a clear understanding of what Data Fabric is and what the architecture looks like, along with the level of effort that goes into designing a Data Fabric solution.

Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java - Second Edition

AshishSingh Bhatia, Bostjan Kaluza

As the amount of data in the world continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine learning applications are everywhere, from self-driving cars, spam detection, document search, and trading strategies, to speech recognition. This makes machine learning well-suited to the present-day era of big data and Data Science. The main challenge is how to transform data into actionable knowledge.Machine Learning in Java will provide you with the techniques and tools you need. You will start by learning how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering. The code in this book works for JDK 8 and above, the code is tested on JDK 11.Moving on, you will discover how to detect anomalies and fraud, and ways to perform activity recognition, image recognition, and text analysis. By the end of the book, you will have explored related web resources and technologies that will help you take your learning to the next level.By applying the most effective machine learning methods to real-world problems, you will gain hands-on experience that will transform the way you think about data.

Microsoft Exchange Server 2013 PowerShell Cookbook. Benefit from over 120 recipes that tackle the everyday issues that arise with Microsoft Exchange Server. Using PowerShell you'll learn to add scripts that provide new functions and efficiencies. Only basic knowledge required. - Second Edition

Jonas Andersson, Mike Pfeiffer

Microsoft Exchange Server 2013 is a complex messaging system. Windows PowerShell 3 can be used in conjunction with Exchange Server 2013 to automate and manage routine and complex tasks to save time, money, and eliminate errors.Microsoft Exchange Server 2013 PowerShell Cookbook: Second Edition offers more than 120 recipes and solutions to everyday problems and tasks encountered in the management and administration of Exchange Server. If you want to write scripts that help you create mailboxes, monitor server resources, and generate detailed reports, then this Cookbook is for you. This practical guide to Powershell and Exchange Server 2013 will help you automate and manage time-consuming and reoccurring tasks quickly and efficiently. Starting by going through key PowerShell concepts and the Exchange Management Shell, this book will get you automating tasks that used to take hours in no time.With practical recipes on the management of recipients and mailboxes as well as distribution groups and address lists, this book will save you countless hours on repetitive tasks. Diving deeper, you will then manage your mailbox database, client access, and your transport servers with simple but effective scripts.This book finishes with advanced recipes on Exchange Server problems such as server monitoring as well as maintaining high availability and security. If you want to control every aspect of Exchange Server 2013 and learn how to save time with PowerShell, then this cookbook is for you.

Microsoft Silverlight 5 and Windows Azure Enterprise Integration. A step-by-step guide to creating and running scalable Silverlight Enterprise Applications on the Windows Azure platform with this book and

David Burela

Microsoft Silverlight is a powerful development platform for creating rich media applications and line of business applications for the web and desktop.Microsoft Windows Azure is a cloud services operating system that serves as the development, service hosting, and service management environment for the Windows Azure platform.Silverlight allows you to integrate with Windows Azure and create and run Silverlight Enterprise Applications on Windows AzureThis book shows you how to create and run Silverlight Enterprise Applications on Windows Azure.Integrating Silverlight and Windows Azure can be difficult without guidance. This book will take you through all the steps to create and run Silverlight Enterprise Applications on the Windows Azure platform. The book starts by providing the steps required to set up the development environment, providing an overview of Azure. The book then dives deep into topics such as hosting Silverlight applications in Azure, using Azure Queues in Silverlight, storing data in Azure table storage from Silverlight, accessing Azure blob storage from Silverlight, relational data with SQL Azure and RIA, and manipulating data with RIA services amongst others.

Clean Code in C#. Refactor your legacy C# code base and improve application performance by applying best practices

Jason Alls

Traditionally associated with developing Windows desktop applications and games, C# is now used in a wide variety of domains, such as web and cloud apps, and has become increasingly popular for mobile development. Despite its extensive coding features, professionals experience problems related to efficiency, scalability, and maintainability because of bad code. Clean Code in C# will help you identify these problems and solve them using coding best practices.The book starts with a comparison of good and bad code, helping you understand the importance of coding standards, principles, and methodologies. You’ll then get to grips with code reviews and their role in improving your code while ensuring that you adhere to industry-recognized coding standards. This C# book covers unit testing, delves into test-driven development, and addresses cross-cutting concerns. You’ll explore good programming practices for objects, data structures, exception handling, and other aspects of writing C# computer programs. Once you’ve studied API design and discovered tools for improving code quality, you’ll look at examples of bad code and understand which coding practices you should avoid.By the end of this clean code book, you’ll have the developed skills you need in order to apply industry-approved coding practices to write clean, readable, extendable, and maintainable C# code.

Azure Integration Guide for Business. Master effective architecture strategies for business innovation

Joshua Garverick, Jack Lee, Mélony Qin, Trevoir Williams

Azure Integration Guide for Business is essential for decision makers planning to transform their business with Microsoft Azure. The Microsoft Azure cloud platform can improve the availability, scalability, and cost-efficiency of any business.The guidance in this book will help decision makers gain valuable insights into proactively managing their applications and infrastructure. You'll learn to apply best practices in Azure Virtual Network and Azure Storage design, ensuring an efficient and secure cloud infrastructure. You'll also discover how to automate Azure through Infrastructure as Code (IaC) and leverage various Azure services to support OLTP applications. Next, you’ll explore how to implement Azure offerings for event-driven architectural solutions and serverless applications. Additionally, you’ll gain in-depth knowledge on how to develop an automated, secure, and scalable solutions. Core elements of the Azure ecosystem will be discussed in the final chapters of the book, such as big data solutions, cost governance, and best practices to help you optimize your business.By the end of this book, you’ll understand what a well-architected Azure solution looks like and how to lead your organization toward a tailored Azure solution that meets your business needs.

Hands-On Machine Learning with Microsoft Excel 2019. Build complete data analysis flows, from data collection to visualization

Julio Cesar Rodriguez Martino

We have made huge progress in teaching computers to perform difficult tasks, especially those that are repetitive and time-consuming for humans. Excel users, of all levels, can feel left behind by this innovation wave. The truth is that a large amount of the work needed to develop and use a machine learning model can be done in Excel.The book starts by giving a general introduction to machine learning, making every concept clear and understandable. Then, it shows every step of a machine learning project, from data collection, reading from different data sources, developing models, and visualizing the results using Excel features and offerings. In every chapter, there are several examples and hands-on exercises that will show the reader how to combine Excel functions, add-ins, and connections to databases and to cloud services to reach the desired goal: building a full data analysis flow. Different machine learning models are shown, tailored to the type of data to be analyzed.At the end of the book, the reader is presented with some advanced use cases using Automated Machine Learning, and artificial neural network, which simplifies the analysis task and represents the future of machine learning.

Microsoft Lync 2013 Unified Communications: From Telephony to Real Time Communication in the Digital Age. Being ahead of the game in communications is a great business asset. This book will educate you in the recent thinking on Unified Communications and clarify the technical side. It’s a revelatory read for both corporate and IT decision makers

Daniel Valik