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Learn the essentials of data integration with this comprehensive guide, covering everything from sources to solutions, and discover the key to making the most of your data stack Key Features Learn how to leverage modern data stack tools and technologies for effective data integration Design and implement data integration solutions with practical advice and best practices Focus on modern technologies such as cloud-based architectures, real-time data processing, and open-source tools and technologies Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThe Definitive Guide to Data Integration is an indispensable resource for navigating the complexities of modern data integration. Focusing on the latest tools, techniques, and best practices, this guide helps you master data integration and unleash the full potential of your data. This comprehensive guide begins by examining the challenges and key concepts of data integration, such as managing huge volumes of data and dealing with the different data types. You’ll gain a deep understanding of the modern data stack and its architecture, as well as the pivotal role of open-source technologies in shaping the data landscape. Delving into the layers of the modern data stack, you’ll cover data sources, types, storage, integration techniques, transformation, and processing. The book also offers insights into data exposition and APIs, ingestion and storage strategies, data preparation and analysis, workflow management, monitoring, data quality, and governance. Packed with practical use cases, real-world examples, and a glimpse into the future of data integration, The Definitive Guide to Data Integration is an essential resource for data eclectics. By the end of this book, you’ll have the gained the knowledge and skills needed to optimize your data usage and excel in the ever-evolving world of data.What you will learn Discover the evolving architecture and technologies shaping data integration Process large data volumes efficiently with data warehousing Tackle the complexities of integrating large datasets from diverse sources Harness the power of data warehousing for efficient data storage and processing Design and optimize effective data integration solutions Explore data governance principles and compliance requirements Who this book is for This book is perfect for data engineers, data architects, data analysts, and IT professionals looking to gain a comprehensive understanding of data integration in the modern era. Whether you’re a beginner or an experienced professional enhancing your knowledge of the modern data stack, this definitive guide will help you navigate the data integration landscape.
This book aims to provide an international forum for scholarly researchers, practitioners and academic communities to explore the role of information and communication technologies and its applications in technical and scholarly development. The conference attracted a total of 464 submissions, of which 152 submissions (including 4 poster papers) have been selected after a double-blind review process. Academic pioneering researchers, scientists, industrial engineers and students will find this series useful to gain insight into the current research and next-generation information science and communication technologies. This book discusses the aspects of communication, data science, ambient intelligence, networking, computing, security and Internet of things, from classical to intelligent scope. The authors hope that readers find the volume interesting and valuable; it gathers chapters addressing state-of-the-art intelligent methods and techniques for solving real-world problems along with a vision of the future research.
Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors' tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you'll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success. - Provides practical guidelines for building successful BI, DW and data integration solutions. - Explains underlying BI, DW and data integration design, architecture and processes in clear, accessible language. - Includes the complete project development lifecycle that can be applied at large enterprises as well as at small to medium-sized businesses - Describes best practices and pragmatic approaches so readers can put them into action. - Companion website includes templates and examples, further discussion of key topics, instructor materials, and references to trusted industry sources.
Mergers and acquisitions (M&A) experts Tim Galpin and Mark Herndon present an updated and expanded guide to planning and managing the M&A process. This comprehensive book is unique in providing the tools to address both the human and operational sides of integration. Based on the authors' consulting experience with numerous Fortune 500 companies, this resource will help organizations capture deal synergies more quickly and effectively. Augmenting their step-by-step advice with helpful templates, checklists, graphs and tools, Galpin and Herndon provide sound guidance for successfully integrating different processes, organizations, and cultures. The authors also address pre-deal do’s and don’ts, people dynamics, common mistakes, communications strategies, and specific actions you can take to create measurable positive results throughout the integration process. The revised edition not only updates case studies and presents recent integration research, but it also adds new tools.
Why a book about logs? That’s easy: the humble log is an abstraction that lies at the heart of many systems, from NoSQL databases to cryptocurrencies. Even though most engineers don’t think much about them, this short book shows you why logs are worthy of your attention. Based on his popular blog posts, LinkedIn principal engineer Jay Kreps shows you how logs work in distributed systems, and then delivers practical applications of these concepts in a variety of common uses—data integration, enterprise architecture, real-time stream processing, data system design, and abstract computing models. Go ahead and take the plunge with logs; you’re going love them. Learn how logs are used for programmatic access in databases and distributed systems Discover solutions to the huge data integration problem when more data of more varieties meet more systems Understand why logs are at the heart of real-time stream processing Learn the role of a log in the internals of online data systems Explore how Jay Kreps applies these ideas to his own work on data infrastructure systems at LinkedIn
Pages: A Comprehensive Guide" as your trusted companion. Whether you're just starting out or have some experience, this guide is meticulously designed to help you navigate, understand, and master the many facets of Power Pages. "Mastering the Microsoft Power Pages: A Comprehensive Guide" is more than just a technical manual; it's a comprehensive journey tailored for those eager to tap into the potential of Microsoft Power Pages. Here's why this book stands out: Depth & Breadth: It provides an in-depth exploration of Power Pages, from its foundational concepts to advanced techniques, ensuring both novices and experts find value. Hands-on Approach: Packed with real-world case studies and hands-on tutorials, readers will gain practical experience while understanding the theoretical aspects. Expert Insights: Insights from industry leaders and Power Pages veterans offer unique perspectives and invaluable tips, providing readers with an edge in their Power Pages journey. Future-Proofing: The book not only educates on the current capabilities of Power Pages but also provides glimpses into its future, ensuring readers are prepared for upcoming trends and shifts. Holistic Understanding: Beyond just the 'how', this guide delves into the 'why' – the rationale behind design choices, the importance of best practices, and the impact of well-crafted Power Pages on businesses. In essence, this book serves as a beacon, guiding readers through the vast landscape of Microsoft Power Pages, ensuring they emerge with clarity, competence, and confidence in their newly-acquired skills. Brief Chapters Chapter 1: Concepts behind Microsoft Power Platform Chapter 2: Introduction to Microsoft Power Platform Chapter 3: Understanding Microsoft Dataverse Chapter 4: Understanding Power Pages Chapter 5: Liquid language Chapter 6: Components in Power Pages Chapter 7: Simple how-to do’s Chapter 8: Demystifying forms in Power Pages Chapter 9: Advanced concepts in Power Pages Chapter 10: Real-World Example: "cantinhode.net" News & Articles Portal Chapter 11: Combining Power Platform Tools Chapter 12: Security and Compliance in Power Platform Chapter 13: Administration and Management of Power Platform Chapter 14: Advanced Techniques in Power Platform Chapter 15: Real-world Case Studies of Power Platform Chapter 16: Future of Power Platform Chapter 17: Preparing for Power Platform Certification
As new technology continues to emerge, the training and education of learning new skills and strategies become important for professional development. Therefore, technology leadership plays a vital role for the use of technology in organizations by providing guidance in the many aspects of using technologies. Technology Integration and Foundations for Effective Leadership provides detailed information on the aspects of effective technology leadership, highlighting instructions on creating a technology plan as well as the successful integration of technology into the educational environment. This reference source aims to offer a sense of structure and basic information on designing, developing, and evaluating technology projects to ensure maximum success.
As technology continues to advance, it is critical for businesses to implement systems that can support the transformation of data into information that is crucial for the success of the company. Without the integration of data (both structured and unstructured) mining in business intelligence systems, invaluable knowledge is lost. However, there are currently many different models and approaches that must be explored to determine the best method of integration. Integration Challenges for Analytics, Business Intelligence, and Data Mining is a relevant academic book that provides empirical research findings on increasing the understanding of using data mining in the context of business intelligence and analytics systems. Covering topics that include big data, artificial intelligence, and decision making, this book is an ideal reference source for professionals working in the areas of data mining, business intelligence, and analytics; data scientists; IT specialists; managers; researchers; academicians; practitioners; and graduate students.
Offers a practical guide for improving schools dramatically that will enable all students from all backgrounds to achieve at high levels. Includes assessment forms, an index, and a DVD.
Data Mining: Concepts and Techniques provides the concepts and techniques in processing gathered data or information, which will be used in various applications. Specifically, it explains data mining and the tools used in discovering knowledge from the collected data. This book is referred as the knowledge discovery from data (KDD). It focuses on the feasibility, usefulness, effectiveness, and scalability of techniques of large data sets. After describing data mining, this edition explains the methods of knowing, preprocessing, processing, and warehousing data. It then presents information about data warehouses, online analytical processing (OLAP), and data cube technology. Then, the methods involved in mining frequent patterns, associations, and correlations for large data sets are described. The book details the methods for data classification and introduces the concepts and methods for data clustering. The remaining chapters discuss the outlier detection and the trends, applications, and research frontiers in data mining. This book is intended for Computer Science students, application developers, business professionals, and researchers who seek information on data mining. - Presents dozens of algorithms and implementation examples, all in pseudo-code and suitable for use in real-world, large-scale data mining projects - Addresses advanced topics such as mining object-relational databases, spatial databases, multimedia databases, time-series databases, text databases, the World Wide Web, and applications in several fields - Provides a comprehensive, practical look at the concepts and techniques you need to get the most out of your data