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Research Data Sharing and Valorization

As platforms for sharing, re-using and storing data, research data repositories are integral to open science policy. This book provides a comprehensive approach to these data repositories, their functionalities, uses, issues and prospects. Taking France as an example, the current landscape of data repositories is considered, including discussion of the idea of a national repository and a comparative study of several national systems. The international re3data directory is outlined and a collection of six case studies of model repositories, both public and private, are detailed (CDS, Data INRAE, SEANOE, Nakala, Figshare and Data Mendeley). Research Data Sharing and Valorization also includes appendices containing a number of websites and reference texts from the French Ministry of Higher Education, Research and Innovation, and the CNRS. To the authors’ knowledge, it is the first book to be entirely devoted to these new platforms and is aimed at researchers, teachers, students and professionals working with scientific and technical data and information.

Learning Microsoft Power BI

Microsoft Power BI is a data analytics and visualization tool powerful enough for the most demanding data scientists, but accessible enough for everyday use for anyone who needs to get more from data. The market has many books designed to train and equip professional data analysts to use Power BI, but few of them make this tool accessible to anyone who wants to get up to speed on their own. This streamlined intro to Power BI covers all the foundational aspects and features you need to go from "zero to hero" with data and visualizations. Whether you work with large, complex datasets or work in Microsoft Excel, author Jeremey Arnold shows you how to teach yourself Power BI and use it confidently as a regular data analysis and reporting tool. You'll learn how to: Import, manipulate, visualize, and investigate data in Power BI Approach solutions for both self-service and enterprise BI Use Power BI in your organization's business intelligence strategy Produce effective reports and dashboards Create environments for sharing reports and managing data access with your team Determine the right solution for using Power BI offerings based on size, security, and computational needs

Practical Database Auditing for Microsoft SQL Server and Azure SQL: Troubleshooting, Regulatory Compliance, and Governance

Know how to track changes and key events in your SQL Server databases in support of application troubleshooting, regulatory compliance, and governance. This book shows how to use key features in SQL Server ,such as SQL Server Audit and Extended Events, to track schema changes, permission changes, and changes to your data. You’ll even learn how to track queries run against specific tables in a database. Not all changes and events can be captured and tracked using SQL Server Audit and Extended Events, and the book goes beyond those features to also show what can be captured using common criteria compliance, change data capture, temporal tables, or querying the SQL Server log. You will learn how to audit just what you need to audit, and how to audit pretty much anything that happens on a SQL Server instance. This book will also help you set up cloud auditing with an emphasis on Azure SQL Database, Azure SQL Managed Instance, and AWS RDS SQL Server. You don’t need expensive, third-party auditing tools to make auditing work for you, and to demonstrate and provide value back to your business. This book will help you set up an auditing solution that works for you and your needs. It shows how to collect the audit data that you need, centralize that data for easy reporting, and generate audit reports using built-in SQL Server functionality for use by your own team, developers, and organization’s auditors. What You Will Learn Understand why auditing is important for troubleshooting, compliance, and governance Track changes and key events using SQL Server Audit and Extended Events Track SQL Server configuration changes for governance and troubleshooting Utilize change data capture and temporal tables to track data changes in SQL Server tables Centralize auditing data from all yourdatabases for easy querying and reporting Configure auditing on Azure SQL, Azure SQL Managed Instance, and AWS RDS SQL Server Who This Book Is For Database administrators who need to know what’s changing on their database servers, and those who are making the changes; database-savvy DevOps engineers and developers who are charged with troubleshooting processes and applications; developers and administrators who are responsible for generating reports in support of regulatory compliance reporting and auditing

The R Book, 3rd Edition

A start-to-finish guide to one of the most useful programming languages for researchers in a variety of fields In the newly revised Third Edition of The R Book, a team of distinguished teachers and researchers delivers a user-friendly and comprehensive discussion of foundational and advanced topics in the R software language, which is used widely in science, engineering, medicine, economics, and other fields. The book is designed to be used as both a complete text—readable from cover to cover—and as a reference manual for practitioners seeking authoritative guidance on particular topics. This latest edition offers instruction on the use of the RStudio GUI, an easy-to-use environment for those new to R. It provides readers with a complete walkthrough of the R language, beginning at a point that assumes no prior knowledge of R and very little previous knowledge of statistics. Readers will also find: A thorough introduction to fundamental concepts in statistics and step-by-step roadmaps to their implementation in R; Comprehensive explorations of worked examples in R; A complementary companion website with downloadable datasets that are used in the book; In-depth examination of essential R packages. Perfect for undergraduate and postgraduate students of science, engineering, medicine economics, and geography, The R Book will also earn a place in the libraries of social sciences professionals.

SAP HANA Cloud in a Nutshell: Design, Develop, and Deploy Data Models using SAP HANA Cloud

This book introduces SAP HANA Cloud and helps you develop an understanding of its key features, including technology, architecture, and data modeling. SAP HANA Cloud in a Nutshell will help you develop the skills needed to use the core features of the completely managed and in-memory cloud-based data foundation available in the SAP Business Technology Platform. The book covers modern modeling concepts and equips you with practical knowledge to unleash the best use of SAP HANA Cloud. As you progress, you will learn how to provision your own SAP HANA Cloud instance, understand how to work with different roles, and work with data modeling for analytical and transactional use cases. Additionally, you will learn how to pilot SAP BTP Cockpit and work with entitlements, quotas, account structure, spaces, instances, and cloud providers. You will learn how to perform administration tasks such as stop and start an SAP HANA Cloud instance and make it available for use. To fully leverage the knowledge this book offers, you will find practical step-by-step instructions for how to establish a cloud account model and create your first SAP HANA Cloud artifacts. The book is an important prerequisite for those who want to take full advantage of SAP HANA Cloud. What You Will Learn Master the concepts and terminology of SAP Business Technology Platform (BTP) and SAP HANA Cloud Understand the key roles of an SAP HANA Cloud implementation Become familiar with the key tools used by administrators, architects, and application developers Upgrade an SAP HANA Cloud database Understand how to work with SAP HANA Cloud modeling supporting analytical and transactional use cases Who This Book Is For SAP consultants, cloud engineers, and architects; application consultants and developers; and project stakeholders

SOFR Futures and Options

SOFR Futures and Options is the practical guide through the maze of the transition from LIBOR. In the first section, it provides an in-depth explanation of the concepts involved: The repo market and the construction of SOFR SOFR-based lending markets and the term rate The secured-unsecured basis SOFR futures and options and their spread contracts Margin and convexity Applying these insights, the second section offers detailed worked-through examples of hedging loans, swaps, bonds, and floors with SOFR futures and options, supported by interactive spreadsheets accessible on the web. The gold standard resource for professionals working at financial institutions, SOFR Futures and Options also belongs in the libraries of students of finance and business, as well as those preparing for the Chartered Financial Analyst exam.

SAP Enterprise Architecture: A Blueprint for Executing Digital Transformation

Does digital transformation ever stop? The answer is a resounding “no" and this book guides you in developing an SAP enterprise architecture that prepares you for constant technology changes. The book introduces enterprise architecture, the role it plays in executing successful business strategy, and its application in SAP. A detailed step-by-step guide teaches you how to utilize SAP Enterprise Architecture Designer to model the four key areas: business, data, landscape, and requirements. Executives will gain insight into the considerations that will aid them in building their digital transformation road map while remaining agile to adapt to unforeseen circumstances. and adapting to the new normal. SAP partners and consultants will find their place in SAP’s future. By the end of this book, you will learn what SAP enterprise architecture is and how to develop it along with its best practices. You Will Understand Thefundamentals of enterprise architecture SAP enterprise architecture How SAP Enterprise Architecture Designer helps your enterprise Business, information, and infrastructure architecture Enterprise architecture best practices How enterprise architecture can prepare your business for the future Who This Book Is For Executives who currently run SAP implementations or are considering SAP implementations, SAP partners and consultants along with aspiring SAP consultants, and technology enthusiasts interested in understanding and articulating IT and business alignment through enterprise architecture

Introducing IBM Z System Recovery Boost

This IBM® Redpaper publication introduces System Recovery Boost (SRB), which is a firmware feature that was introduced with IBM z15™ and enhanced on IBM z16™. SRB delivers substantially faster system shutdown and restart, short duration Recovery Process Boosts (RPBs) for sysplex events, and fast catch-up of an accumulated backlog of mission-critical workloads after specific events (such as system restart). SRB is a firmware feature that is available on IBM z15 and IBM z16 central processor complexes (CPCs), and it requires operating system support for use. It is available on older systems. Always check the latest firmware and software for available SRB functions. The IBM Z server generations that are described in this paper are available as the following machine types and models (MTMs): Machine Type 3931 (M/T 3931) Model A01, which is identified as IBM z16 Model A01. Machine Type 8561 (M/T 8561) Model T01, which is identified as IBM z15 Model T01. Machine Type 8562 (M/T 8562) Model T02, which is identified as IBM z15 model T02.

Practical MATLAB Deep Learning: A Projects-Based Approach

Harness the power of MATLAB for deep-learning challenges. Practical MATLAB Deep Learning, Second Edition, remains a one-of a-kind book that provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. In this book, you’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep learning. This edition includes new and expanded projects, and covers generative deep learning and reinforcement learning. Over the course of the book, you'll learn to model complex systems and apply deep learning to problems in those areas. Applications include: Aircraft navigation An aircraft that lands on Titan, the moon of Saturn, using reinforcement learning Stock market prediction Natural language processing Music creation usng generative deep learning Plasma control Earth sensor processing for spacecraft MATLAB Bluetooth data acquisition applied to dance physics What You Will Learn Explore deep learning using MATLAB and compare it to algorithms Write a deep learning function in MATLAB and train it with examples Use MATLAB toolboxes related to deep learning Implement tokamak disruption prediction Now includes reinforcement learning Who This Book Is For Engineers, data scientists, and students wanting a book rich in examples on deep learning using MATLAB.

Practical CockroachDB: Building Fault-Tolerant Distributed SQL Databases

Get a practical introduction to CockroachDB. This book starts with installation and foundational concepts and takes you through to creating clusters that are ready for production environments. You will learn how to create, optimize, and operate CockroarchDB clusters in single and multi-region environments. You will encounter anti-patterns to avoid, as well as testing techniques for integration and load testing. The book explains why CockroachDB exists, goes over its major benefits, and quickly transitions into installing and configuring CockroachDB. Just as quickly, you’ll be creating databases, getting data into those databases, and querying that data from your applications. You’ll progress to data privacy laws such as GDPR and CCPA, and learn how CockroachDB’s global distribution features can help you comply with ever-shifting data sovereignty regulations. From there, you’ll move into deployment topologies, guidance on integration testing and load testing, best practices, and a readiness checklist for production deployments. What You Will Learn Deploy and interact with CockroachDB Design and optimize databases and tables Choose the correct data types for modeling your data Protect data with database and table encryption Achieve compliance with international data privacy regulations Scale your databases in a way that enhances their performance Monitor changes to the data and health of your databases Who This Book Is For Developers and database administrators who want to provide a secure, reliable, and effortlessly distributed home for their data; those who wish to use a modern tool to tackle the kinds of scaling challenges that have previously required dedicated teams of people to solve; anyone who wants to leverage their database to solve non-trivial, real-world challenges while protecting their data and users

Database Design Using Entity-Relationship Diagrams, 3rd Edition

Thoroughly revised and updated, this third edition covers, in an intuitive, way, the database design process, from the inception of a database to effectively mapping the design to a relational model, which can then be implemented in any relational software. Students also learn how to reverse engineer a database from relational mappings.

Mastering MongoDB 6.x - Third Edition

Mastering MongoDB 6.x is your complete guide to understanding MongoDB at depth and fully leveraging its capabilities. Learn to design, develop, and administer MongoDB databases that are high-performing, scalable, and secure. From schema modeling to using MongoDB Atlas tools, this book ensures you are well-equipped to build robust applications backed by MongoDB. What this Book will help me do Understand and apply advanced data modeling techniques for MongoDB to optimize data access. Utilize advanced querying capabilities, including aggregation, indexing, and transactions. Implement scalable and distributed systems using MongoDB features like replication and sharding. Administer MongoDB databases securely and efficiently using monitoring and backup tools. Master cloud-based solutions with MongoDB Atlas tools such as Serverless, Atlas Search, and Compass. Author(s) Alex Giamas, the author of Mastering MongoDB 6.x, is a seasoned expert in database systems and software engineering. With a deep knowledge of MongoDB gained through years of practical experience, Alex has contributed to numerous projects that utilize MongoDB to power large-scale applications. Passionate about sharing knowledge, Alex creates thorough, accessible guides to empower developers and administrators alike. Who is it for? This book is perfect for MongoDB developers and database administrators seeking to deepen their skills. If you're involved in designing, deploying, or managing greenfield or existing projects using MongoDB, this book is invaluable. Basic familiarity with MongoDB, shell commands, and database design concepts is recommended to fully benefit from the insights provided.

Microsoft Power Apps Cookbook - Second Edition

Microsoft Power Apps Cookbook, Second Edition, is your ultimate guide to unlocking the full potential of Microsoft's low-code platform for building custom business applications. From practical recipes that solve real-world challenges to advanced techniques, this book empowers you with tools to streamline processes and elevate your organization's productivity. What this Book will help me do Master the skills to design and implement canvas and model-driven apps to fit your business requirements. Utilize Microsoft Dataverse effectively as the data backbone for your applications. Automate business workflows dynamically using Power Automate and robotic process automation techniques. Expand your application's capabilities with AI Builder and mixed reality integrations for innovative solutions. Harness the Power Apps Component Framework to build powerful, customized extensions to meet enterprise-grade needs. Author(s) Eickhel Mendoza is a seasoned professional in low-code application development, specializing in the Microsoft Power Platform. With extensive experience in helping organizations implement effective solutions and improve productivity, Eickhel brings a pragmatic, hands-on approach to technical writing. His deep understanding of Power Apps and user-centric teaching style make this book an invaluable resource for developers and citizen creators alike. Who is it for? This book is designed for information workers, IT professionals, and citizen developers aiming to build custom applications tailored to their organizational needs. It is equally beneficial for traditional application developers interested in leveraging a rapid application development platform. A basic understanding of the Microsoft Power Platform ecosystem is recommended to make the most out of this book.

Serverless ETL and Analytics with AWS Glue

Discover how to harness AWS Glue for your ETL and data analysis workflows with "Serverless ETL and Analytics with AWS Glue." This comprehensive guide introduces readers to the capabilities of AWS Glue, from building data lakes to performing advanced ETL tasks, allowing you to create efficient, secure, and scalable data pipelines with serverless technology. What this Book will help me do Understand and utilize various AWS Glue features for data lake and ETL pipeline creation. Leverage AWS Glue Studio and DataBrew for intuitive data preparation workflows. Implement effective storage optimization techniques for enhanced data analytics. Apply robust data security measures, including encryption and access control, to protect data. Integrate AWS Glue with machine learning tools like SageMaker to build intelligent models. Author(s) The authors of this book include experts across the fields of data engineering and AWS technologies. With backgrounds in data analytics, software development, and cloud architecture, they bring a depth of practical experience. Their approach combines hands-on tutorials with conceptual clarity, ensuring a blend of foundational knowledge and actionable insights. Who is it for? This book is designed for ETL developers, data engineers, and data analysts who are familiar with data management concepts and want to extend their skills into serverless cloud solutions. If you're looking to master AWS Glue for building scalable and efficient ETL pipelines or are transitioning existing systems to the cloud, this book is ideal for you.

Building the Snowflake Data Cloud: Monetizing and Democratizing Your Data

Implement the Snowflake Data Cloud using best practices and reap the benefits of scalability and low-cost from the industry-leading, cloud-based, data warehousing platform. This book provides a detailed how-to explanation, and assumes familiarity with Snowflake core concepts and principles. It is a project-oriented book with a hands-on approach to designing, developing, and implementing your Data Cloud with security at the center. As you work through the examples, you will develop the skill, knowledge, and expertise to expand your capability by incorporating additional Snowflake features, tools, and techniques. Your Snowflake Data Cloud will be fit for purpose, extensible, and at the forefront of both Direct Share, Data Exchange, and Snowflake Marketplace. Building the Snowflake Data Cloud helps you transform your organization into monetizing the value locked up within your data. As the digital economy takes hold, with data volume, velocity, and variety growing at exponential rates, you need tools and techniques to quickly categorize, collate, summarize, and aggregate data. You also need the means to seamlessly distribute to release value. This book shows how Snowflake provides all these things and how to use them to your advantage. The book helps you succeed by delivering faster than you can deliver with legacy products and techniques. You will learn how to leverage what you already know, and what you don’t, all applied in a Snowflake Data Cloud context. After reading this book, you will discover and embrace the future where the Data Cloud is central. You will be able to position your organization to take advantage by identifying, adopting, and preparing your tooling for the coming wave of opportunity around sharing and monetizing valuable, corporate data. What You Will Learn Understand why Data Cloud is important tothe success of your organization Up-skill and adopt Snowflake, leveraging the benefits of cloud platforms Articulate the Snowflake Marketplace and identify opportunities to monetize data Identify tools and techniques to accelerate integration with Data Cloud Manage data consumption by monitoring and controlling access to datasets Develop data load and transform capabilities for use in future projects Who This Book Is For Solution architects seeking implementation patterns to integrate with a Data Cloud; data warehouse developers looking for tips, tools, and techniques to rapidly deliver data pipelines; sales managers who want to monetize their datasets and understand the opportunities that Data Cloud presents; and anyone who wishes to unlock value contained within their data silos

Comet for Data Science

Discover how to manage and optimize the life cycle of your data science projects with Comet! By the end of this book, you will master preparing, analyzing, building, and deploying models, as well as integrating Comet into your workflow. What this Book will help me do Master managing data science workflows with Comet. Confidently prepare and analyze your data for effective modeling. Deploy and monitor machine learning models using Copet tools. Integrate Comet with DevOps and GitLab workflows for production readiness. Apply Comet to advanced topics like NLP, deep learning, and time series analysis. Author(s) Angelica Lo Duca is an experienced author and data scientist with years of expertise in data science workflows and tools. She brings practical insights into integrating platforms like Comet into modern data science tasks. Who is it for? If you are a data science practitioner or programmer looking to understand and implement efficient project lifecycles using Comet, this book is tailored for you. A basic backdrop in data science and programming is highly recommended, but prior expertise in Comet is unnecessary.

IBM Power Systems S922, S914, and S924 Technical Overview and Introduction

This IBM® Redpaper™ publication is a comprehensive guide that covers the IBM Power System S922 (9009-22A), IBM Power System S914 (9009-41A), and IBM Power System S924 (9009-42A) servers that support IBM AIX®, IBM i, and Linux operating systems. The objective of this paper is to introduce the major innovative Power S914, Power S922, and Power 924 offerings and their relevant functions: The new IBM POWER9™ processor, which is available at frequencies of 2.3 - 3.8 GHz, 2.8 - 3.8 GHz, 2.9 - 3.8 GHz, 3.4 - 3.9 GHz, 3.5 - 3.9 GHz, and 3.8 - 4.0 GHz. Significantly strengthened cores and larger caches. Two integrated memory controllers that double the memory footprint of IBM POWER8® servers. Integrated I/O subsystem and hot-pluggable Peripheral Component Interconnect Express (PCIe) Gen4 and Gen3 I/O slots. I/O drawer expansion options offer greater flexibility. Support for Coherent Accelerator Processor Interface (CAPI) 2.0. New IBM EnergyScale™ technology offers new variable processor frequency modes that provide a significant performance boost beyond the static nominal frequency. This publication is for professionals who want to acquire a better understanding of IBM Power Systems™ products. The intended audience includes the following roles: Clients Sales and marketing professionals Technical support professionals IBM Business Partners Independent software vendors (ISVs) This paper expands the current set of IBM Power Systems documentation by providing a desktop reference that offers a detailed technical description of the Power S914, Power S922, and Power S924 systems. This paper does not replace the current marketing materials and configuration tools. It is intended as an extra source of information that, together with existing sources, can be used to enhance your knowledge of IBM server solutions.

Learning Tableau 2022 - Fifth Edition

Learning Tableau 2022 is your comprehensive guide to mastering Tableau, one of the most popular tools for data visualization and analysis. Through this book, you will understand how to build impactful visualizations, create interactive dashboards, and tell compelling stories with data. With updated coverage of Tableau 2022's latest features, this book will take your data storytelling skills to the next level. What this Book will help me do Develop effective visualizations and dashboards to present complex data intuitively. Enhance data analysis with Tableau's advanced features like clustering, AI extensions, and Explain Data. Utilize calculations and parameters for tailoring and enriching analytics. Optimize workflows for data cleaning and preparation using Tableau Prep Builder. Confidently leverage Tableau for interlinking datasets and performing geospatial analysis. Author(s) Joshua N. Milligan, the author of Learning Tableau 2022, is a seasoned Tableau Zen Master. He has years of experience helping individuals and businesses transform their data into actionable insights through visualization and analysis. With a focus on clarity and practical applications, Joshua explains complex concepts in an approachable manner and equips readers with the skills to bring their ideas to life in Tableau. Who is it for? This book is ideal for business intelligence developers, data analysts, or any professional eager to improve their data visualization skills. Both beginners looking to understand Tableau from the ground up and intermediate users aiming to explore advanced Tableau techniques will find it valuable. A Tableau license and a thirst for learning are all you'll need to embark on this data visualization journey.