Implementing Microsoft SharePoint 2019. An expert guide to SharePoint Server for architects, administrators, and project managers

Lewin Wanzer, Angel Wood

Microsoft’s latest addition to their product range, SharePoint Server 2019, is a new enterprise content management platform that brings on-premise collaboration features to life. It can be used as an isolated platform or in a hybrid connected configuration providing management and connectivity to Office 365. You can use the SharePoint framework to host sites, information, data, and applications in a robust CMS that centralizes collaborative content for enterprises.SharePoint 2019 enables new integrations and features that will allow you to work seamlessly with new and old Office products such as Microsoft Power Apps and other Microsoft Office applications.Implementing Microsoft SharePoint 2019 will help you understand the challenges, planning, migration steps, installation concepts, and configuration involved in providing this platform for your enterprise. The book will also show you what the platform brings to the table from an on-premise server perspective. If you’re new to SharePoint 2019, you’ll also be guided through how to get servers up and running so that you and your user community can become productive with this powerful new platform.By the end of this book, you’ll be well-versed in Microsoft SharePoint 2019 and have the knowledge you need to apply your skills in the real world.

Salesforce Advanced Administrator Certification Guide. Become a Certified Advanced Salesforce Administrator with this exam guide

Enrico Murru

The Salesforce Advanced Administrator certification extends beyond administrator certification, covering advanced platform features and functions such as configuration, automation, security, and customization. Complete with comprehensive coverage of all these topics and exam-oriented questions and mock tests, this Salesforce book will help you earn advanced administrator credentials. You'll start your journey by mastering data access security, monitoring and auditing, and understanding best practices for handling change management and data across organizations. The book then delves into data model management for improving data quality and lets you explore Sales features such as products, schedules, quotes, and forecasting capabilities. As you progress, this book will guide you in working with content management to set up and maintain Salesforce content. You'll also master organizing your files and data using reports and dashboards. Finally, you'll learn how to use a combination of automation tools to solve business problems.By the end of the book, you will have developed the skills required to get your advanced administrator credentials.

Oracle Application Express 3.2 - The Essentials and More. Develop Native Oracle database-centric web applications quickly and easily with Oracle APEX

Arie Geller, Matthew Lyon

Developing data-centric web applications can be a real challenge as it is a multi-disciplinary process. There are many technologies involved in the client side (HTML, CSS, JavaScript, and so on); the interaction with the database, on the server side; the typeless nature of the web environment; and above all, the need to put it all together. This needs to be done in a manner that will allow the end users to do their job in the simplest and most efficient way, while enriching their user experience. How often have you wished that developing such applications could be uncomplicated and straightforward? This book will show you that it's possible, and teaches you how to do it, using Oracle Application Express (APEX).With this practical guide to APEX, you'll learn how to easily develop data-centric web applications for the Oracle environment. The book covers the development cycle of an APEX application, reviewing the major APEX principles and building blocks chapter by chapter. It starts with the basic skills you need to get going when developing with APEX. Later, you will learn advanced issues, such as how to build tailor-made forms and reports, using APEX APIs, AJAX, and so on. It not only deals with the How but also with the Why, and before long you will be able to understand APEX concepts, and use them to expand and enhance the built-in features, wizards, and tools.The book starts with the design phase, including building the necessary database objects infrastructure; continues with ways to implement the application logic (on the server side) and the User Interface (on the client side), whilst showing you how to enhance your applications' features and functionality according to your specific needs; and it ends with application deployment.The book emphasizes and clearly documents areas such as Globalization, Localization, and developing multi-lingual applications, and includes a special discussion about Right-To-Left (RTL) support for APEX applications, documented here for the first time.Throughout the book, there are many screenshots and snippets of code, taken from working APEX applications. The book is accompanied by demo APEX applications that you can download and install in your APEX environment, thoroughly analyze, and learn from as you read the book.

KNIME Essentials. Perform accurate data analysis using the power of KNIME

Gábor Bakos

KNIME is an open source data analytics, reporting, and integration platform, which allows you to analyze a small or large amount of data without having to reach out to programming languages like R.KNIME Essentials teaches you all you need to know to start processing your first data sets using KNIME. It covers topics like installation, data processing, and data visualization including the KNIME reporting features. Data processing forms a fundamental part of KNIME, and KNIME Essentials ensures that you are fully comfortable with this aspect of KNIME before showing you how to visualize this data and generate reports.KNIME Essentials guides you through the process of the installation of KNIME through to the generation of reports based on data. The main parts between these two phases are the data processing and the visualization. The KNIME variants of data analysis concepts are introduced, and after the configuration and installation description comes the data processing which has many options to convert or extend it. Visualization makes it easier to get an overview for parts of the data, while reporting offers a way to summarize them in a nice way.

Applied Deep Learning with Keras. Solve complex real-life problems with the simplicity of Keras

Ritesh Bhagwat, Mahla Abdolahnejad, Matthew Moocarme

Though designing neural networks is a sought-after skill, it is not easy to master. With Keras, you can apply complex machine learning algorithms with minimum code.Applied Deep Learning with Keras starts by taking you through the basics of machine learning and Python all the way to gaining an in-depth understanding of applying Keras to develop efficient deep learning solutions. To help you grasp the difference between machine and deep learning, the book guides you on how to build a logistic regression model, first with scikit-learn and then with Keras. You will delve into Keras and its many models by creating prediction models for various real-world scenarios, such as disease prediction and customer churning. You’ll gain knowledge on how to evaluate, optimize, and improve your models to achieve maximum information. Next, you’ll learn to evaluate your model by cross-validating it using Keras Wrapper and scikit-learn. Following this, you’ll proceed to understand how to apply L1, L2, and dropout regularization techniques to improve the accuracy of your model. To help maintain accuracy, you’ll get to grips with applying techniques including null accuracy, precision, and AUC-ROC score techniques for fine tuning your model.By the end of this book, you will have the skills you need to use Keras when building high-level deep neural networks.

In-Memory Analytics with Apache Arrow. Perform fast and efficient data analytics on both flat and hierarchical structured data

Matthew Topol, Wes McKinney

Apache Arrow is designed to accelerate analytics and allow the exchange of data across big data systems easily.In-Memory Analytics with Apache Arrow begins with a quick overview of the Apache Arrow format, before moving on to helping you to understand Arrow’s versatility and benefits as you walk through a variety of real-world use cases. You'll cover key tasks such as enhancing data science workflows with Arrow, using Arrow and Apache Parquet with Apache Spark and Jupyter for better performance and hassle-free data translation, as well as working with Perspective, an open source interactive graphical and tabular analysis tool for browsers. As you advance, you'll explore the different data interchange and storage formats and become well-versed with the relationships between Arrow, Parquet, Feather, Protobuf, Flatbuffers, JSON, and CSV. In addition to understanding the basic structure of the Arrow Flight and Flight SQL protocols, you'll learn about Dremio’s usage of Apache Arrow to enhance SQL analytics and discover how Arrow can be used in web-based browser apps. Finally, you'll get to grips with the upcoming features of Arrow to help you stay ahead of the curve.By the end of this book, you will have all the building blocks to create useful, efficient, and powerful analytical services and utilities with Apache Arrow.

Pandas 1.x Cookbook. Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python - Second Edition

Matt Harrison, Theodore Petrou

The pandas library is massive, and it's common for frequent users to be unaware of many of its more impressive features. The official pandas documentation, while thorough, does not contain many useful examples of how to piece together multiple commands as one would do during an actual analysis. This book guides you, as if you were looking over the shoulder of an expert, through situations that you are highly likely to encounter.This new updated and revised edition provides you with unique, idiomatic, and fun recipes for both fundamental and advanced data manipulation tasks with pandas. Some recipes focus on achieving a deeper understanding of basic principles, or comparing and contrasting two similar operations. Other recipes will dive deep into a particular dataset, uncovering new and unexpected insights along the way. Many advanced recipes combine several different features across the pandas library to generate results.

TensorFlow 2 Reinforcement Learning Cookbook. Over 50 recipes to help you build, train, and deploy learning agents for real-world applications

Palanisamy P

With deep reinforcement learning, you can build intelligent agents, products, and services that can go beyond computer vision or perception to perform actions. TensorFlow 2.x is the latest major release of the most popular deep learning framework used to develop and train deep neural networks (DNNs). This book contains easy-to-follow recipes for leveraging TensorFlow 2.x to develop artificial intelligence applications.Starting with an introduction to the fundamentals of deep reinforcement learning and TensorFlow 2.x, the book covers OpenAI Gym, model-based RL, model-free RL, and how to develop basic agents. You'll discover how to implement advanced deep reinforcement learning algorithms such as actor-critic, deep deterministic policy gradients, deep-Q networks, proximal policy optimization, and deep recurrent Q-networks for training your RL agents. As you advance, you’ll explore the applications of reinforcement learning by building cryptocurrency trading agents, stock/share trading agents, and intelligent agents for automating task completion. Finally, you'll find out how to deploy deep reinforcement learning agents to the cloud and build cross-platform apps using TensorFlow 2.x.By the end of this TensorFlow book, you'll have gained a solid understanding of deep reinforcement learning algorithms and their implementations from scratch.