Автор: Rad, Reza Название: Pro power bi architecture ISBN: 1484295374 ISBN-13(EAN): 9781484295373 Издательство: Springer Рейтинг: Цена: 7927.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides detailed guidance around architecting and deploying Power BI reporting solutions, including help and best practices for sharing and security. You’ll find chapters on dataflows, shared datasets, composite model and DirectQuery connections to Power BI datasets, deployment pipelines, XMLA endpoints, and many other important features related to the overall Power BI architecture that are new since the first edition. You will gain an understanding of what functionality each of the Power BI components provide (such as Dataflow, Shared Dataset, Datamart, thin reports, and paginated reports), so that you can make an informed decision about what components to use in your solution. You will get to know the pros and cons of each component, and how they all work together within the larger Power BI architecture. Commonly encountered problems you will learn to handle include content unexpectedly changing while users are in the process of creating reports and building analyses, methods of sharing analyses that don’t cover all the requirements of your business or organization, and inconsistent security models. Detailed examples help you to understand and choose from among the different methods available for sharing and securing Power BI content so that only intended recipients can see it. The knowledge provided in this book will allow you to choose an architecture and deployment model that suits the needs of your organization. It will also help ensure that you do not spend your time maintaining your solution, but on using it for its intended purpose: gaining business value from mining and analyzing your organization’s data. What You Will Learn * Architect Power BI solutions that are reliable and easy to maintain * Create development templates and structures in support of reusability * Set up and configure the Power BI gateway as a bridge between on-premises data sources and the Power BI cloud service * Select a suitable connection type—Live Connection, DirectQuery, Scheduled Refresh, or Composite Model—for your use case * Choose the right sharing method for how you are using Power BI in your organization * Create and manage environments for development, testing, and production * Secure your data using row-level and object-level security * Save money by choosing the right licensing plan Who This Book Is For Data analysts and developers who are building reporting solutions around Power BI, as well as architects and managers who are responsible for the big picture of how Power BI meshes with an organization’s other systems, including database and data warehouse systems.
Автор: Etaati, Leila Название: Machine learning with microsoft technologies ISBN: 1484236572 ISBN-13(EAN): 9781484236574 Издательство: Springer Рейтинг: Цена: 7317.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Know how to do machine learning with Microsoft technologies. This book teaches you to do predictive, descriptive, and prescriptive analyses with Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, HD Insight, and more.The ability to analyze massive amounts of real-time data and predict future behavior of an organization is critical to its long-term success. Data science, and more specifically machine learning (ML), is today’s game changer and should be a key building block in every company’s strategy. Managing a machine learning process from business understanding, data acquisition and cleaning, modeling, and deployment in each tool is a valuable skill set. Machine Learning with Microsoft Technologies is a demo-driven book that explains how to do machine learning with Microsoft technologies. You will gain valuable insight into designing the best architecture for development, sharing, and deploying a machine learning solution. This book simplifies the process of choosing the right architecture and tools for doing machine learning based on your specific infrastructure needs and requirements. Detailed content is provided on the main algorithms for supervised and unsupervised machine learning and examples show ML practices using both R and Python languages, the main languages inside Microsoft technologies. What You'll Learn Choose the right Microsoft product for your machine learning solutionCreate and manage Microsoft’s tool environments for development, testing, and production of a machine learning projectImplement and deploy supervised and unsupervised learning in Microsoft products Set up Microsoft Power BI, Azure Data Lake, SQL Server, Stream Analytics, Azure Databricks, and HD Insight to perform machine learning Set up a data science virtual machine and test-drive installed tools, such as Azure ML Workbench, Azure ML Server Developer, Anaconda Python, Jupyter Notebook, Power BI Desktop, Cognitive Services, machine learning and data analytics tools, and more Architect a machine learning solution factoring in all aspects of self service, enterprise, deployment, and sharingWho This Book Is For
Data scientists, data analysts, developers, architects, and managers who want to leverage machine learning in their products, organization, and services, and make educated, cost-saving decisions about their ML architecture and tool set.
Описание: Microsoft Teams is packed with impressive capabilities for modern organizations such as real-time communication, voice capabilities, application integration, and more. This practical guide helps you discover these advanced features with Power Platform to modernize your organization`s infrastructure.
Автор: Michaels Paul Название: Software Architecture by Example: Using C# and .NET ISBN: 1484279891 ISBN-13(EAN): 9781484279892 Издательство: Springer Рейтинг: Цена: 7317.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Design system solutions using modern architectural patterns and practices. This book discusses methods to keep a system responsive, even when it is being constantly updated, extending a system's functionality without changing the core code, methods of maintaining data history, and designing a distributed transactional system. This book will guide you in understanding how a software solution is designed using different architectural processes and scenarios. Each scenario explains if and why a software solution is required to resolve a given issue, and discusses possible architectural approaches to solve the problem. You will learn specific implementations of software architecture for each case along with different approaches to achieve the solutions. Each chapter is structured as a real-world requirement from a client and describes a process to meet that requirement. After reading this book, you should have a high-level understanding of the architectural patterns used in the book, and you should have a methodology for approaching system design. What You Will Learn * Understand design principles and considerations for various stages of software development * Translate patterns into code samples * Create a blueprint for approaching system design * Understand architectural patterns: CQRS, event sourcing, distributed systems, distributed transactions, and plug-in architecture Who This Book Is For Developers who wish to move into architecture, and junior software architects also will find the book useful
Описание: This book will take you through hand-on recipes for extracting, transforming, and loading data using big data tools and Azure services such as Data Factory and Azure Databricks. You will learn how to interact effectively with Azure services, along with covering automation with BIML and data profiling in Azure.
Автор: L`Esteve Название: The Azure Data Lakehouse Toolkit ISBN: 1484282329 ISBN-13(EAN): 9781484282328 Издательство: Springer Рейтинг: Цена: 7317.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Design and implement a modern data lakehouse on the Azure Data Platform using Delta Lake, Apache Spark, Azure Databricks, Azure Synapse Analytics, and Snowflake. This book teaches you the intricate details of the Data Lakehouse Paradigm and how to efficiently design a cloud-based data lakehouse using highly performant and cutting-edge Apache Spark capabilities using Azure Databricks, Azure Synapse Analytics, and Snowflake. You will learn to write efficient PySpark code for batch and streaming ELT jobs on Azure. And you will follow along with practical, scenario-based examples showing how to apply the capabilities of Delta Lake and Apache Spark to optimize performance, and secure, share, and manage a high volume, high velocity, and high variety of data in your lakehouse with ease. The patterns of success that you acquire from reading this book will help you hone your skills to build high-performing and scalable ACID-compliant lakehouses using flexible and cost-efficient decoupled storage and compute capabilities. Extensive coverage of Delta Lake ensures that you are aware of and can benefit from all that this new, open source storage layer can offer. In addition to the deep examples on Databricks in the book, there is coverage of alternative platforms such as Synapse Analytics and Snowflake so that you can make the right platform choice for your needs. After reading this book, you will be able to implement Delta Lake capabilities, including Schema Evolution, Change Feed, Live Tables, Sharing, and Clones to enable better business intelligence and advanced analytics on your data within the Azure Data Platform. What You Will Learn * Implement the Data Lakehouse Paradigm on Microsoft’s Azure cloud platform * Benefit from the new Delta Lake open-source storage layer for data lakehouses * Take advantage of schema evolution, change feeds, live tables, and more * Write functional PySpark code for data lakehouse ELT jobs * Optimize Apache Spark performance through partitioning, indexing, and other tuning options * Choose between alternatives such as Databricks, Synapse Analytics, and Snowflake Who This Book Is For Data, analytics, and AI professionals at all levels, including data architect and data engineer practitioners. Also for data professionals seeking patterns of success by which to remain relevant as they learn to build scalable data lakehouses for their organizations and customers who are migrating into the modern Azure Data Platform.
Автор: Vinit Yadav Название: Processing Big Data with Azure HDInsight ISBN: 1484228685 ISBN-13(EAN): 9781484228685 Издательство: Springer Рейтинг: Цена: 4634.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Get a jump start on using Azure HDInsight and Hadoop Ecosystem components. As most Hadoop and Big Data projects are written in Java, Scala or Python, this book minimizes the effort to learn another language and is written from the perspective of a .NET developer. Hadoop components are covered, and code samples are written in .NET only.
Автор: Soh, Julian Singh, Priyanshi Название: Data science solutions on azure ISBN: 1484264045 ISBN-13(EAN): 9781484264041 Издательство: Springer Рейтинг: Цена: 6707.00 р. Наличие на складе: Нет в наличии.
Описание: Part I - Introduction to Data Science and its rise to prominence
Chapter 1 Data Science in the modern enterprise
What is Data Science
The Data Scientists' tools and lingo
Ethics and ethical AI
Significance of Data Science in organizations
Case Studies of applied Data Science
Chapter 2 Most important Statistical Tehniques in Data Science
Top Statistical Tehniques Data Scientists need to know
Supervised Learning
Unsupervised Learning
Regression/Classification/ Forecasting
Bayesian method
Time series analysis
Linear regression
Sampling methods
Reinforcement Learning
Part 2 - Machine Learning in Microsoft Azure &n
Автор: Kline Название: Pro Database Migration to Azure ISBN: 1484282299 ISBN-13(EAN): 9781484282298 Издательство: Springer Рейтинг: Цена: 7317.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Migrate your existing, on-premises applications into the Microsoft Azure cloud platform. This book covers the best practices to plan, implement, and operationalize the migration of a database application from your organization’s data center to Microsoft’s Azure cloud platform. Data modernization and migration is a technologically complex endeavor that can also be taxing from a leadership and operational standpoint. This book covers not only the technology, but also the most important aspects of organization culture, communication, and politics that so frequently derail such projects. You will learn the most important steps to ensuring a successful migration and see battle-tested wisdom from industry veterans. From executive sponsorship, to executing the migration, to the important steps following migration, you will learn how to effectively conduct future migrations and ensure that your team and your database application delivers on the expected business value of the project. This book is unlike any other currently in the market. It takes you through the most critical business and technical considerations and workflows for moving your data and databases into the cloud, with special attention paid to those who are deploying to the Microsoft Data Platform in Azure, especially SQL Server. Although this book focuses on migrating on-premises SQL Server enterprises to hybrid or fully cloud-based Azure SQL Database and Azure SQL Managed Instances, it also cover topics involving migrating non-SQL Server database platforms such as Oracle, MySQL, and PostgreSQL applications to Microsoft Azure. What You Will Learn * Plan a database migration that ensures smooth project progress, optimal performance, low operating cost, and minimal downtime * Properly analyze and manage non-technical considerations, such as legal compliance, privacy, and team execution * Perform a thorough architectural analysis to select the best Azure services, performance tiers, and cost-containment features * Avoid pitfalls and common reasons for failure relating to corporate culture, intra-office politics, and poor communications * Secure the proper executive champions who can execute the business planning needed for success * Apply proven criteria to determine your future-state architecture and your migration method * Execute your migration using a process proven by the authors over years of successful projects Who This Book Is For IT leadership, strategic IT decision makers, project owners and managers, and enterprise and application architects. For anyone looking toward cloud migration projects as the next stage of growth in their careers. Also useful for enterprise DBAs and consultants who might be involved in such projects. Readers should have experience and be competent in designing, coding, implementing, and supporting database applications in an on-premises environment.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
