Dive into "SAP Data Services 4.x Cookbook" to master the SAP Data Services platform and learn how to efficiently prepare, implement, and optimize ETL processes. This comprehensive guide makes it easy for you to understand both fundamental and advanced techniques of this powerful tool. What this Book will help me do Develop a thorough understanding of SAP Data Services concepts and architecture. Effectively set up and configure an ETL environment using SAP Data Services. Master advanced ETL design techniques to process and manipulate data effectively. Gain expertise in data cleansing, validation, and applying data quality methods. Build real-time ETL workflows and integrate various data systems seamlessly. Author(s) None Shomnikov is an experienced IT professional specializing in SAP Data Services and ETL processes. With years of practical experience, they bring a wealth of knowledge to help readers grasp concepts quickly and apply them effectively. None enjoys sharing practical solutions to complex problems in a clear and approachable manner. Who is it for? This book is ideal for IT professionals and engineers who are seeking to deepen their understanding of SAP Data Services. Readers should have a basic background in programming concepts and SQL to fully benefit from this book. It is particularly suited for professionals involved in ETL development and data quality management. By the end of the book, you will have a strong grasp of building reliable ETL workflows and managing data services efficiently.

Systems of record (SORs) are engines that generates value for your business. Systems of engagement (SOE) are always evolving and generating new customer-centric experiences and new opportunities to capitalize on the value in the systems of record. The highest value is gained when systems of record and systems of engagement are brought together to deliver insight. Systems of insight (SOI) monitor and analyze what is going on with various behaviors in the systems of engagement and information being stored or transacted in the systems of record. SOIs seek new opportunities, risks, and operational behavior that needs to be reported or have action taken to optimize business outcomes. Systems of insight are at the core of the Digital Experience, which tries to derive insights from the enormous amount of data generated by automated processes and customer interactions. Systems of Insight can also provide the ability to apply analytics and rules to real-time data as it flows within, throughout, and beyond the enterprise (applications, databases, mobile, social, Internet of Things) to gain the wanted insight. Deriving this insight is a key step toward being able to make the best decisions and take the most appropriate actions. Examples of such actions are to improve the number of satisfied clients, identify clients at risk of leaving and incentivize them to stay loyal, identify patterns of risk or fraudulent behavior and take action to minimize it as early as possible, and detect patterns of behavior in operational systems and transportation that lead to failures, delays, and maintenance and take early action to minimize risks and costs. IBM® Operational Decision Manager is a decision management platform that provides capabilities that support both event-driven insight patterns, and business-rule-driven scenarios. It also can easily be used in combination with other IBM Analytics solutions, as the detailed examples will show. IBM Operational Decision Manager Advanced, along with complementary IBM software offerings that also provide capability for systems of insight, provides a way to deliver the greatest value to your customers and your business. IBM Operational Decision Manager Advanced brings together data from different sources to recognize meaningful trends and patterns. It empowers business users to define, manage, and automate repeatable operational decisions. As a result, organizations can create and shape customer-centric business moments. This IBM Redbooks® publication explains the key concepts of systems of insight and how to implement a system of insight solution with examples. It is intended for IT architects and professionals who are responsible for implementing a systems of insights solution requiring event-based context pattern detection and deterministic decision services to enhance other analytics solution components with IBM Operational Decision Manager Advanced.

This book describes state-of-the-art optimization techniques used to solve problems with adaptive, dynamic, and stochastic features. It presents modern advances in static and dynamic optimization, decision analysis, intelligent systems, evolutionary programming, heuristic optimization, stochastic and adaptive dynamic programming, and adaptive critics. It evaluates optimization methods for handling operational planning, Voltage/VAr, control coordination, vulnerability, reliability, resilience, and reconfiguration issues, providing mathematical formulations, algorithms for implementation, examples, and case studies. It also discusses the limitations of current optimization techniques in meeting the challenges of smart electric grids.

Offering a planned approach for determining cause and effect, DOE Simplified: Practical Tools for Effective Experimentation, Third Edition integrates the authors’ decades of combined experience in providing training, consulting, and computational tools to industrial experimenters. Supplying readers with the statistical means to analyze how numerous variables interact, it is ideal for those seeking breakthroughs in product quality and process efficiency via systematic experimentation. Following in the footsteps of its bestselling predecessors, this edition incorporates a lively approach to learning the fundamentals of the design of experiments (DOE). It lightens up the inherently dry complexities with interesting sidebars and amusing anecdotes. The book explains simple methods for collecting and displaying data and presents comparative experiments for testing hypotheses. Discussing how to block the sources of variation from your analysis, it looks at two-level factorial designs and covers analysis of variance. It also details a four-step planning process for designing and executing experiments that takes statistical power into consideration. This edition includes a major revision of the software that accompanies the book (via download) and sets the stage for introducing experiment designs where the randomization of one or more hard-to-change factors can be restricted. Along these lines, it includes a new chapter on split plots and adds coverage of a number of recent developments in the design and analysis of experiments. Readers have access to case studies, problems, practice experiments, a glossary of terms, and a glossary of statistical symbols, as well as a series of dynamic online lectures that cover the first several chapters of the book.

This IBM® Redbooks® publication gives a broad explanation of the kernel-based virtual machine (KVM) for IBM z™ Systems and how it uses the architecture of IBM z Systems™. It focuses on the planning and design of the environment and provides installation and configuration definitions that are necessary to build and manage KVM for IBM z Systems. It also helps you plan, install, and configure IBM Cloud Manager with OpenStack for use with KVM for IBM z Systems in a cloud environment. This book is useful to IT architects and system administrators who plan for and install KVM for IBM z Systems. The reader is expected to have a good understanding of IBM z Systems hardware, KVM, Linux on z Systems, and cloud concepts.

Unlock the potential of PostgreSQL, a powerful open-source relational database system, with 'Learning PostgreSQL.' This book takes you through essential concepts of relational databases, SQL syntax, and the advanced features of PostgreSQL, equipping you to build and manage efficient database solutions. What this Book will help me do Learn the foundational concepts behind relational databases and relational algebra. Set up and configure a PostgreSQL server and client for development use. Develop SQL queries for robust data manipulation and retrieval. Implement advanced features of PostgreSQL, including procedural programming with PL/pgSQL. Integrate PostgreSQL with Java applications using JDBC and Hibernate frameworks. Author(s) The authors of 'Learning PostgreSQL,' None Juba, Achim Vannahme, and None Volkov, bring extensive experience and expertise in software development and database management. They have a deep understanding of PostgreSQL as well as its integration with applications. Their collective approach emphasizes practical techniques, real-world scenarios, and enriched learning, making this book a valuable resource for learners of all levels. Who is it for? This book is perfect for students, database developers, and administrators seeking to learn PostgreSQL. It suits beginners with no prior knowledge and helps intermediates deepen their expertise. Readers will learn how to develop, maintain, and optimize PostgreSQL databases, making it ideal for those aiming to advance their database development skills.

In 'Python Data Visualization Cookbook (Second Edition)', you'll learn how to create stunning and meaningful visual representations of data using Python's powerful libraries. Through step-by-step, recipe-based guidance, this book equips you to transform raw data into comprehensible and compelling visual stories. What this Book will help me do Master setting up Python and its libraries for data visualization. Learn how to import, clean, and organize data effectively. Create a variety of plots and charts tailored to your data's needs. Explore 3D visualizations and animations for more complex data insights. Incorporate visualization into environments like LaTeX and web frameworks. Author(s) The authors Igor Milovanovic, None Foures, and Giuseppe Vettigli bring extensive experience in Python programming and data analysis. With a passion for teaching and a clear instructional style, they make complex topics approachable and engaging. Their expertise ensures you gain practical knowledge you can apply immediately. Who is it for? This book is perfect for Python programmers who want to deepen their understanding of data and learn how to visualize it effectively. It's suitable for readers with basic Python knowledge, looking to elevate their skills in data visualization. Whether you aim to improve at data-driven storytelling or analyze data in clarity, this book has you covered.

Explore the fascinating world of geospatial analysis with "Python Geospatial Analysis Cookbook". This guide offers practical, recipe-based solutions for common spatial analysis tasks using Python, helping you tackle real-world spatial challenges effectively. From data preparation to topology checks and network analysis, the book ensures you're equipped to create powerful geospatial applications. What this Book will help me do Understand the projection and coordinate system details of geospatial data to ensure accurate analysis. Transform and manipulate spatial data formats for diverse analysis requirements and projects. Leverage the capabilities of PostGIS within Python for advanced geospatial operations. Apply vector and raster data analysis techniques to solve practical spatial problems. Develop a functional geospatial web application using GeoDjango to demonstrate analysis outputs. Author(s) None Diener is an accomplished professional in the field of geospatial analysis utilizing Python. With years of experience in coding and implementing geospatial systems, Diener bridges the gap between theoretical techniques and practical applications. Their writing is aimed at beginners and professionals alike, delivering clear and precise guidance for building geospatial solutions. Who is it for? This book is perfect for GIS analysts, programmers, data scientists, and researchers with a baseline understanding of geospatial concepts who are looking to enhance their skills. Beginners eager to explore Python's utility in geospatial analysis will also benefit. Whether you're solving intricate spatial problems or building web-based GIS applications, this guide has you covered.

Creating Data Stories with Tableau Public is a comprehensive guide to building impactful and interactive data visualizations using Tableau Public. Whether you are an investigative journalist, blogger, or data enthusiast, this book takes you through all the essential concepts, from connecting to data sources to publishing your visualizations online. You will learn how to effectively communicate data-driven stories with engaging visuals. What this Book will help me do Understand how to connect and prepare data for Tableau Public visualizations, including tips on cleaning and joining data. Learn about various chart types and their applications to visualize data effectively according to context and message. Discover methods for creating geographic maps and adding meaningful calculations to enhance your visualizations. Master the art of designing dashboards and storytelling with interactive elements like filters and actions. Gain insights on how to publish and embed your Tableau Public visualizations to share your data stories with wider audiences. Author(s) None Ohmann is an accomplished author and educator with rich expertise in data visualization and storytelling. Leveraging a passion for effective communication, None has written extensively on using tools like Tableau Public to bring data to life. As an advocate for accessible and interactive visualizations, None's work bridges technical proficiency and creative expression. Who is it for? This book is perfect for investigative journalists, bloggers, and media professionals eager to incorporate data visualizations into their work. Whether you're a beginner or have some experience with Tableau Public, you'll find practical advice to enhance your abilities. Organizations and teams that deal with data storytelling will also benefit from the clear and actionable strategies outlined in this guide.

The Example-Rich, Hands-On Guide to Data Munging with Apache Hadoop TM Data scientists spend much of their time “munging” data: handling day-to-day tasks such as data cleansing, normalization, aggregation, sampling, and transformation. These tasks are both critical and surprisingly interesting. Most important, they deepen your understanding of your data’s structure and limitations: crucial insight for improving accuracy and mitigating risk in any analytical project. Now, two leading Hortonworks data scientists, Ofer Mendelevitch and Casey Stella, bring together powerful, practical insights for effective Hadoop-based data munging of large datasets. Drawing on extensive experience with advanced analytics, the authors offer realistic examples that address the common issues you’re most likely to face. They describe each task in detail, presenting example code based on widely used tools such as Pig, Hive, and Spark. This concise, hands-on eBook is valuable for every data scientist, data engineer, and architect who wants to master data munging: not just in theory, but in practice with the field’s #1 platform–Hadoop. Coverage includes A framework for understanding the various types of data quality checks, including cell-based rules, distribution validation, and outlier analysis Assessing tradeoffs in common approaches to imputing missing values Implementing quality checks with Pig or Hive UDFs Transforming raw data into “feature matrix” format for machine learning algorithms Choosing features and instances Implementing text features via “bag-of-words” and NLP techniques Handling time-series data via frequency- or time-domain methods Manipulating feature values to prepare for modeling Data Munging with Hadoop is part of a larger, forthcoming work entitled Data Science Using Hadoop. To be notified when the larger work is available, register your purchase of Data Munging with Hadoop at informit.com/register and check the box “I would like to hear from InformIT and its family of brands about products and special offers.”

Dive into SQLAlchemy, the popular, open-source code library that helps Python programmers work with relational databases such as Oracle, MySQL, PostgresSQL, and SQLite. Using real-world examples, this practical guide shows you how to build a simple database application with SQLAlchemy, and how to connect to multiple databases simultaneously with the same metadata. SQL is a powerful language for querying and manipulating data, but it’s tough to integrate it with your application. SQLAlchemy helps you map Python objects to database tables without substantially changing your existing Python code. If you’re an intermediate Python developer with knowledge of basic SQL syntax and relational theory, this book serves as both a learning tool and a handy reference. Essential SQLAlchemy includes several sections: SQLAlchemy Core: Provide database services to your applications in a Pythonic way with the SQL Expression Language SQLAlchemy ORM: Use the object relational mapper to bind database schema and operations to data objects in your application Alembic: Use this lightweight database migration tool to handle changes to the database as your application evolves Cookbook: Learn how to use SQLAlchemy with web frameworks like Flask and libraries like SQLAcodegen

This book invites the reader on a journey of discovery of service systems. From a Service-Dominant-Logic perspective, such systems are the building blocks of all economic activity, and innovation of new service systems holds the promise of a new industrial revolution. Users navigating web sites, customers interacting with intelligent mobile retail applications, patients interpreting advice from health-care professionals and other sources, students interacting with teachers and learning materials, city dwellers invoking smart service applications for transportation routing, and the unlimited variations of smart service systems that will be enabled by the Internet of Things and other technologies provide ample evidence of the need for service innovation. This book presents an overview of the foundational constructs of service science and models of co-creative systems, with the aim of enabling the reader to be a service innovator. The value proposition of this book is the opportunity to fill each reader's knowledge gaps and offer a comprehensive, coherent, and introductory overview of service system modeling.

Dive into the world of Oracle SOA Suite 12c administration with this comprehensive guide. You'll learn all the core administrative tasks, including deployments, monitoring, and performance tuning, along with setting up clusters for high availability. This book offers practical step-by-step guidance to help you effectively manage your SOA environment, ensuring optimal performance and reliability. What this Book will help me do Effectively deploy and promote SOA composite applications in Oracle SOA Suite 12c. Monitor services and troubleshoot issues to maintain operational stability. Configure and administer key components like the dehydration store and Oracle Enterprise Scheduler. Set up high availability clusters and deploy robust disaster recovery solutions. Optimize system performance through advanced tuning techniques and best practices. Author(s) The authors, None Pareek, None Dost, and Ahmed Aboulnaga, bring a wealth of experience in Oracle SOA administration. Their combined expertise spans years of industry practice in designing, managing, and optimizing Oracle solutions. Their approach to writing is based on practical guidance and real-world applications, making complex topics accessible and actionable. Who is it for? This book is perfect for administrators of Oracle SOA Suite 12c, ranging from novices who need a comprehensive introduction to experienced professionals looking for advanced tips. It serves those managing middleware infrastructures, especially if your goal is to improve reliability, performance, and scalability of SOA services. If you're seeking to enhance your administration skills with Oracle SOA Suite, this book is for you.

This new edition is a hands-on guide for developers and administrators who want to use the power and flexibility of Couchbase Server 4.0 in their applications. The second edition extends coverage of N1QL, the SQL-like query language for Couchbase. It also brings coverage of multiple new features, including the new generation of client SDKs, security and LDAP integration, secondary indexes, and multi-dimensional scaling. Pro Couchbase Server covers everything you need to develop Couchbase solutions and deploy them in production. The NoSQL movement has fundamentally changed the database world in recent years. Influenced by the growing needs of web-scale applications, NoSQL databases such as Couchbase Server provide new approaches to scalability, reliability, and performance. Never have document databases been so powerful and performant. With the power and flexibility of Couchbase Server, you can model your data however you want, and easily change the data model any time you want. Pro Couchbase Server shows what is possible and helps you take full advantage of Couchbase Server and all the performance and scalability that it offers. • Helps you design and develop a document database using Couchbase Server. • Covers the latest features such as the N1QL query language. • Gives you the tools to scale out your application as needed.

This book covers the practical aspects of database design, data cleansing, data analysis, and data protection , among others. The focus is on what you really need to know to create the right database for your small business and to leverage it most effectively to spur growth and revenue. Databases for Small Business is a practical handbook for entrepreneurs, managers, staff, and professionals in small organizations who are not IT specialists but who recognize the need to ramp up their small organizations’ use of data and to round out their own business expertise and office skills with basic database proficiency. Anna Manning—a data scientist who has worked on database design and data analysis in a computer science university research lab, her own small business, and a nonprofit—walks you through the progression of steps that will enable you to extract actionable intelligence and maximum value from your business data in terms of marketing, sales, customer relations, decision making, and business strategy. Dr. Manning illustrates the steps in the book with four running case studies of a small online business, an engineering startup, a small legal firm, and a nonprofit organization.

In "Data Lake Development with Big Data," you will explore the fundamental principles and techniques for constructing and managing a Data Lake tailored for your organization's big data challenges. This book provides practical advice and architectural strategies for ingesting, managing, and analyzing large-scale data efficiently and effectively. What this Book will help me do Learn how to architect a Data Lake from scratch tailored to your organizational needs. Master techniques for ingesting data using real-time and batch processing frameworks efficiently. Understand data governance, quality, and security considerations essential for scalable Data Lakes. Discover strategies for enabling users to explore data within the Data Lake effectively. Gain insights into integrating Data Lakes with Big Data analytic applications for high performance. Author(s) None Pasupuleti and Beulah Salome Purra bring their extensive expertise in big data and enterprise data management to this book. With years of hands-on experience designing and managing large-scale data architectures, their insights are rooted in practical knowledge and proven techniques. Who is it for? This book is ideal for data architects and senior managers tasked with adapting or creating scalable data solutions in enterprise contexts. Readers should have foundational knowledge of master data management and be familiar with Big Data technologies to derive maximum value from the content presented.

Dive into the ELK stack-Elasticsearch, Logstash, and Kibana-with this comprehensive guide. Designed to help you set up, configure, and utilize the stack to its fullest, this book provides you with the skills to manage data with precision, enrich logs, and create meaningful analytics. Develop an entire data pipeline and cultivate powerful visual insights from your data. What this Book will help me do Install and configure Elasticsearch, Logstash, and Kibana to establish a robust ELK stack setup. Understand the role of each component in the stack and master the basics of log analysis. Create custom Logstash plugins to handle non-standard data processing requirements. Develop interactive and insightful data visualizations and dashboards using Kibana. Implement a complete data pipeline and gain expertise in data indexing, searching, and reporting. Author(s) None Chhajed brings depth of technical understanding and practical experience to the exploration of the ELK Stack. With a strong background in open-source technologies and data analytics, Chhajed has worked extensively with ELK stack implementations in real-world scenarios. Through this guide, the author offers clarity, detailed examples, and actionable insights for professionals seeking to improve their data systems. Who is it for? This book is targeted towards software developers, data analysts, and DevOps engineers seeking to harness the potential of the ELK stack for data analysis and logging. It is most suitable for intermediate-level professionals with basic knowledge of Unix or programming. If your aim is to gain insights and build metrics from diverse data formats utilizing open-source technologies, this book is crafted for you.

Take a deep dive into SAP Fiori and discover Fiori architecture, Fiori landscape installation, Fiori standard applications, Fiori Launchpad configuration, tools for developing Fiori applications and extending standard Fiori applications. You will learn: Fiori architecture and its applications Setting up a Fiori landscape and Fiori Launchpad Configuring, customizing and enhancing standard Fiori applications Developing Fiori native applications for mobile Internet of Things-based custom Fiori applications with the HANA cloud platform Bince Mathew, a SAP mobility expert working for an MNC in Germany, shows you how SAP Fiori, based on HTML5 technology, addresses the most widely and frequently used SAP transactions like purchase order approvals, sales order creation, information lookup, and self-service tasks. This set of HTML5 apps provides a very simple and accessible experience across desktops, tablets, and smartphones.

Embark on your journey to mastering Couchbase with this comprehensive guide designed for learners of all levels. By exploring the fundamentals of NoSQL databases and diving into Couchbase's functionality, you'll gain the skills to design, manage, and scale modern applications effectively. Learn practical solutions and techniques to leverage Couchbase as a powerful backend system. What this Book will help me do Understand the core concepts of NoSQL databases and configure a Couchbase database system from scratch. Design efficient document data schemas and use Couchbase SDKs for high-performance application development. Explore the integration of Couchbase with Elasticsearch to implement robust full-text search capabilities. Master advanced Couchbase features like XDCR for disaster recovery and N1QL for SQL-like application queries. Develop and scale a real-world e-commerce application using Couchbase as the backend database system. Author(s) Henry Potsangbam is an experienced software developer and database specialist with a focus on scalable NoSQL solutions. He has worked extensively with Couchbase in developing real-world applications and is passionate about teaching others the intricacies of database systems. Henry's writing style makes advanced concepts accessible and practical for readers of all levels. Who is it for? This book is crafted for developers, database administrators, and IT professionals who want to learn NoSQL database basics and Couchbase's capabilities. Beginners with no prior experience in NoSQL will find step-by-step guidance, and experienced developers can expand their skill set to include Couchbase. A familiarity with Java programming will be helpful but is not mandatory.

Learn from state-of-the-art examples in robotics, motors, detection filters, chemical processes, aircraft, and spacecraft. This is a practical reference for industry engineers using MATLAB to solve everyday problems. With MATLAB Recipes: A Problem-Solution Approach you will review contemporary MATLAB coding including the latest language features and use MATLAB as a software development environment including code organization, GUI development, and algorithm design and testing. This book provides practical guidance for using MATLAB to build a body of code you can turn to time and again for solving technical problems in your line of work. Develop algorithms, test them, visualize the results, and pass the code along to others to create a functional code base for your firm.