IBM® CICS® is a mixed language application server that runs on IBM Z®. Over the 50 years since CICS was introduced in 1969, enterprises have used the qualities of service (QoSs) that CICS provides to allow them to create high throughput and secure transactional applications that have powered their business. As the IT landscape has evolved, so has CICS to allow these applications to integrate with new platforms and still provide value to the rest of the business. Because of this capability, many businesses still rely on CICS to power their core applications. This IBM Redpaper publication focuses on modernizing these CICS applications, allowing them to integrate with cloud-native applications. This modernization can be achieved either by constructing application programming interfaces (APIs) that allow new cloud-native applications to connect to your existing assets, rewriting parts of your application in newer languages and hosting them back on CICS, or by using CICS capabilities to extend your applications to provide new capabilities and functions. The paper takes a traditional example application and shows you how it works. Then, the paper extends the example, rewrites portions of its functions, and enables its APIs. It also explains how CICS applications can use continuous integration (CI) and continuous delivery (CD) to deliver, test, and deploy code into CICS easily and with quality.

Coronavirus News, Markets and AI explores the analysis of unstructured data from coronavirus related news and the underlying sentiment during its real-time impact on the world and on global financial markets, in particular.

This book provides a state-of-the-art reflection on current trends in international public budgeting, representing an important pillar in the accumulation of knowledge on public sector budgeting processes, contents, evolutions and critical issues.

Learn Microsoft Access by building a powerful database application from start to finish. Microsoft Access ships with every version of Office, from Office 2019 to Office 365 Home and Personal editions. Most people understand the value of having a reliable contact database, but few realize that Access can be an incredibly valuable data tool and an excellent gateway for learning database development. Introducing Microsoft Access Using Macro Programming Techniques approaches database development from a practical and experiential standpoint. You will learn important data concepts as you journey through each step of creating a database using Access. The example you will build takes advantage of a massive amount of data from an external source of nutritional data (USDA). You will leverage this freely available repository of information in multiple ways, putting Access to the test in creating powerful business solutions that you can then apply to your own data sets. Thetables and records in this database will be used to demonstrate key relational principles in Access, including how to use the relationship window to understand the relationships between tables and how to create different objects such as queries, forms, reports, and macros. Using this approach, you will learn how desktop database development can be a powerful solution to meet your business needs. What You Will Learn Discover the relational database and how it is different from other databases Create database tables and establish relationships between them to create a solid relational database system Understand the concept and importance of referential integrity (RI) in data and databases Use different types of Access queries to extract the information you need from the database Show database information in individual, customized windows using Access Forms Present insightful information about the database using Access Reports Automate your database solutions with macros Who This Book Is For Anyone who wants to learn how to build a database using Microsoft Access to create customized solutions. It is also useful for those working in IT managing large contact data sets (healthcare, retail, etc.) who need to learn the basics in order to create a professional database solution. Readers should have access to some version of Microsoft Access in order to perform the exercises in this book.

This book, "MongoDB Fundamentals", is the ideal hands-on guide to learning MongoDB. By starting from the basics of NoSQL databases and progressing to cloud integration using MongoDB Atlas, you will gain practical experience managing, querying, and visualizing data effectively for real-world applications. What this Book will help me do Set up and manage a MongoDB database with both local and cloud environments. Master querying and modifying data using the aggregation framework for complex operations. Implement effective database architecture with replication and sharding techniques. Ensure data security and resilience through user management and efficient backup/restore methods. Visualize data insights through dynamic reports and charts using MongoDB Charts. Author(s) Amit Phaltankar, Juned Ahsan, Michael Harrison, and Liviu Nedov are seasoned professionals in the field of database management systems, each bringing extensive experience working with MongoDB and cloud technologies. They excel at translating technical concepts into accessible, actionable insights, and have a passion for enabling IT professionals to create high-performance database solutions. Who is it for? "MongoDB Fundamentals" is tailored for developers, database administrators, system administrators, and cloud architects who are new to MongoDB but are looking to integrate it into their data processing workflows. It's perfect for those who aim to enhance their skills in handling data within cloud computing environments and have some basic programming or database experience.

This IBM® Blueprint is intended to facilitate the deployment of IBM Storage for Red Hat OpenShift Container Platform by using detailed hardware specifications to build a system. It describes the associated parameters for configuring persistent storage within a Red Hat OpenShift Container Platform environment. To complete the tasks, you must understand Red Hat OpenShift, IBM Storage, the IBM block storage Container Storage Interface (CSI) driver, and the IBM Spectrum Scale CSI driver. The information in this document is distributed on an "as is" basis without any warranty that is either expressed or implied. Support assistance for the use of this material is limited to situations where IBM Storwize® or IBM FlashSystem® storage devices, Enterprise Storage Server®, and IBM Spectrum® Scale are supported and entitled, and where the issues are not specific to a blueprint implementation. IBM Storage Suite for IBM Cloud® Paks is an offering bundle that includes software-defined storage from IBM and Red Hat. Use this document for more information about how to deploy IBM Storage product licenses that are obtained through Storage Suite for Cloud Paks (IBM Spectrum Virtualize and IBM Spectrum Scale).

Readers will learn more about CS characteristics and behaviors, and CSE principles, and will therefore be able to focus on techniques that will better serve them in their working/everyday environments in dealing with complexity.

Discover the capabilities of PySpark and its application in the realm of data science. This comprehensive guide with hand-picked examples of daily use cases will walk you through the end-to-end predictive model-building cycle with the latest techniques and tricks of the trade. Applied Data Science Using PySpark is divided unto six sections which walk you through the book. In section 1, you start with the basics of PySpark focusing on data manipulation. We make you comfortable with the language and then build upon it to introduce you to the mathematical functions available off the shelf. In section 2, you will dive into the art of variable selection where we demonstrate various selection techniques available in PySpark. In section 3, we take you on a journey through machine learning algorithms, implementations, and fine-tuning techniques. We will also talk about different validation metrics and how to use them for picking the best models. Sections 4 and 5 go through machine learning pipelines and various methods available to operationalize the model and serve it through Docker/an API. In the final section, you will cover reusable objects for easy experimentation and learn some tricks that can help you optimize your programs and machine learning pipelines. By the end of this book, you will have seen the flexibility and advantages of PySpark in data science applications. This book is recommended to those who want to unleash the power of parallel computing by simultaneously working with big datasets. What You Will Learn Build an end-to-end predictive model Implement multiple variable selection techniques Operationalize models Master multiple algorithms and implementations Who This Book is For Data scientists and machine learning and deep learning engineers who want to learn and use PySpark for real-time analysis of streamingdata.

The #1 Easy, Commonsense Guide to Database DesignNow Updated Foreword by Michelle Poolet, Mount Vernon Data Systems LLC Database Design for Mere Mortals has earned worldwide respect as the simplest way to learn relational database design. Now, this hands-on, software independent tutorial is even clearer and easier to use. Step by step, this new 25th Anniversary Edition shows you how to design modern databases that are soundly structured, reliable, and flexible, even in the latest online applications. Michael Hernandez guides you through everything from planning to defining tables, fields, keys, table relationships, business rules, and views. You will learn practical ways to improve data integrity, how to avoid common mistakes, and when to break the rules. Updated review questions and figures help you learn these techniques more easily and effectively. Understand database types, models, and design terminology Perform interviews to efficiently capture requirementseven if everyone works remotely Set clear design objectives and transform them into effective designs Analyze a current database so you can identify ways to improve it Establish table structures and relationships, assign primary keys, set field specifications, and set up views Ensure the correct level of data integrity for each database Identify and establish business rules Preview and prepare for the future of relational databases Whatever relational database systems you use, Hernandez will help you design databases that are robust and trustworthy. Never designed a database before? Settling for inadequate generic designs? Running existing databases that need improvement? Start here.

Built on over 50 years of enterprise storage expertise, the IBM® DS8000® series is the flagship of disk storage systems within the IBM System Storage portfolio. As of October 2020, the DS8900F with DS8000 Release 9.1 is the latest addition. The DS8900F is an all-flash system exclusively, and it offers two classes: DS8910F: Flexibility Class The flexibility class delivers significant performance improvements compared to the previous IBM DS8880F generation. DS8950F: Agility Class The agility class is efficiently designed to consolidate all your mission-critical workloads for IBM Z®, IBM LinuxONE, IBM Power Systems, and distributed environments under a single all-flash storage solution. This IBM Redbooks® Product Guide gives an overview of the features and functions that are available with the IBM DS8900F models running microcode Release 9.1 (Bundle 89.10 / Licensed Machine Code 7.9.10).

Learn effective and scalable database design techniques in SQL Server 2019 and other recent SQL Server versions. This book is revised to cover additions to SQL Server that include SQL graph enhancements, in-memory online transaction processing, temporal data storage, row-level security, and other design-related features. This book will help you design OLTP databases that are high-quality, protect the integrity of your data, and perform fast on-premises, in the cloud, or in hybrid configurations. Designing an effective and scalable database using SQL Server is a task requiring skills that have been around for well over 30 years, using technology that is constantly changing. This book covers everything from design logic that business users will understand to the physical implementation of design in a SQL Server database. Grounded in best practices and a solid understanding of the underlying theory, author Louis Davidson shows you how to "getit right" in SQL Server database design and lay a solid groundwork for the future use of valuable business data. What You Will Learn Develop conceptual models of client data using interviews and client documentation Implement designs that work on premises, in the cloud, or in a hybrid approach Recognize and apply common database design patterns Normalize data models to enhance integrity and scalability of your databases for the long-term use of valuable data Translate conceptual models into high-performing SQL Server databases Secure and protect data integrity as part of meeting regulatory requirements Create effective indexing to speed query performance Understand the concepts of concurrency Who This Book Is For Programmers and database administrators of all types who want to use SQL Server to store transactional data. The book is especially useful to those wanting to learn the latest database design features in SQL Server 2019 (features that include graph objects, in-memory OLTP, temporal data support, and more). Chapters on fundamental concepts, the language of database modeling, SQL implementation, and the normalization process lay a solid groundwork for readers who are just entering the field of database design. More advanced chapters serve the seasoned veteran by tackling the latest in physical implementation features that SQL Server has to offer. The book has been carefully revised to cover all the design-related features that are new in SQL Server 2019.

This IBM® Redbooks® publication introduces and describes the IBM Elastic Storage® Server 5000 (ESS 5000) as a scalable, high-performance data and file management solution. The solution is built on proven IBM Spectrum® Scale technology, formerly IBM General Parallel File System (IBM GPFS). ESS is a modern implementation of software-defined storage, making it easier for you to deploy fast, highly scalable storage for AI and big data. With the lightning-fast NVMe storage technology and industry-leading file management capabilities of IBM Spectrum Scale, the ESS 3000 and ESS 5000 nodes can grow to over YB scalability and can be integrated into a federated global storage system. By consolidating storage requirements from the edge to the core data center — including kubernetes and Red Hat OpenShift — IBM ESS can reduce inefficiency, lower acquisition costs, simplify storage management, eliminate data silos, support multiple demanding workloads, and deliver high performance throughout your organization. This book provides a technical overview of the ESS 5000 solution and helps you to plan the installation of the environment. We also explain the use cases where we believe it fits best. Our goal is to position this book as the starting point document for customers that would use the ESS 5000 as part of their IBM Spectrum Scale setups. This book is targeted toward technical professionals (consultants, technical support staff, IT Architects, and IT Specialists) who are responsible for delivering cost-effective storage solutions with ESS 5000.

This IBM® Redbooks® publication captures several of the preferred practices and describes the performance gains that can be achieved by implementing the IBM System Storage® SAN Volume Controller and IBM Storwize® V7000 powered by IBM Spectrum Virtualize™ V8.2.1. These practices are based on field experience. This book highlights configuration guidelines and preferred practices for the storage area network (SAN) topology, clustered system, back-end storage, storage pools and managed disks, volumes, remote copy services, and hosts. Then it provides performance guidelines for SAN Volume Controller, back-end storage, and applications. It explains how you can optimize disk performance with the IBM System Storage Easy Tier® function. It also provides preferred practices for monitoring, maintaining, and troubleshooting SAN Volume Controller and Storwize V7000. This book is intended for experienced storage, SAN, and SAN Volume Controller administrators and technicians. Understanding his book requires advanced knowledge of the SAN Volume Controller and Storwize V7000 and SAN environments. Important: On 11th February 2020 IBM announced the arrival of SAN Volume Controller SA2 and SV2, and IBM FlashSystem® 7200 to the family. This book was written specifically for prior versions of SVC and Storwize V7000; however, most of the general principles will apply. If you are in any doubt as to their applicability then you should work with your local IBM representative. This book will be updated to comprehensively include SAN Volume Controller SA2 and SV2 and FlashSystem 7200 in due course.

What you must know to protect yourself today The digital technology explosion has blown everything to bits--and the blast has provided new challenges and opportunities. This second edition of Blown to Bits delivers the knowledge you need to take greater control of your information environment and thrive in a world thats coming whether you like it or not. Straight from internationally respected Harvard/MIT experts, this plain-English bestseller has been fully revised for the latest controversies over social media, fake news, big data, cyberthreats, privacy, artificial intelligence and machine learning, self-driving cars, the Internet of Things, and much more. Discover who owns all that data about youand what they can infer from it Learn to challenge algorithmic decisions See how close you can get to sending truly secure messages Decide whether you really want always-on cameras and microphones Explore the realities of Internet free speech Protect yourself against out-of-control technologies (and the powerful organizations that wield them) You will find clear explanations, practical examples, and real insight into what digital tech means to you--as an individual, and as a citizen.

This IBM® Redpaper publication presents and positions the DS8910F Model 993. The modular system can be integrated into 15U contiguous space of a standard 19-inch wide rack, or 16U contiguous space when placed in an IBM z14® Model ZR1 (z14 Model ZR1), or IBM LinuxONE Rockhopper II (z14 Model LR1). The DS8910F Model 993 allows you to take advantage of the performance boost of all-flash systems and advanced features while limiting datacenter footprint and power infrastructure requirements.

IBM® FlashSystem 9100 combines the performance of flash and Non-Volatile Memory Express (NVMe) with the reliability and innovation of IBM FlashCore® technology and the rich features of IBM Spectrum™ Virtualize — all in a powerful 2U storage system. Providing intensive data driven multi-cloud storage capacity, FlashSystem 9100 is deeply integrated with the software-defined capabilities of IBM Spectrum Storage™, which allows you to easily add the multi-cloud solutions that best support your business. In this IBM Redbooks® publication, we discuss the product's features and planning steps, architecture, installation, configuration, and hints and tips.

Get started building custom Fiori applications for your enterprise. This book teaches you how to design, build, and deploy enterprise-ready, custom Fiori applications in SAP HANA. Tips and tricks collected from projects using Fiori applications (built consuming OData models and REST APIs) and integrating third-party JS libraries are presented. Also included are examples using Fiori templates from different tools such as the SAP Web IDE and the new Visual Studio Code extensions. This book explains the 5 design principles that all Fiori applications are built upon: Role-based, Responsive, Coherent, Simple, and Delightful. The book expands on consuming OData services and REST APIs internal and external to SAP HANA. The Fiori application exercise demonstrates the use of the MVC pattern, JavaScript modularization, reuse of SAP UI5 controls, debugging, and the tools required for a complete scenario. The book closes with an exercise showcasing a finished single page application with multiple views and layouts, navigation between the views, and deployment of the application to AWS. This book is simple enough for entry-level developers getting started in web frameworks but also highlights integration points from the data models being consumed from the application, and shows how the application communicates with back-end services, resulting in a complete front-end custom Fiori application. What You Will Learn Know the 5 Fiori design principles Understand how to consume OData and REST API models Apply the MVC pattern using XML views and the SAP UI5 controls along with controller behavior in JavaScript Debug and deploy the application Who This Book is For Web developers and application leads who have some experience in JavaScript frameworks and web development and understand web protocol communication

The internet has profoundly changed interpersonal communication, but most of us don’t really understand how it works. What enables information to travel across the internet? Can we really be anonymous and private online? Who controls the internet, and why is that important? And… what’s with all the cats? How the Internet Really Works answers these questions and more. Using clear language and whimsical illustrations, the authors translate highly technical topics into accessible, engaging prose that demystifies the world’s most intricately linked computer network. Alongside a feline guide named Catnip, you’ll learn about: •The “How-What-Why” of nodes, packets, and internet protocols •Cryptographic techniques to ensure the secrecy and integrity of your data •Censorship, ways to monitor it, and means for circumventing it •Cybernetics, algorithms, and how computers make decisions •Centralization of internet power, its impact on democracy, and how it hurts human rights •Internet governance, and ways to get involved This book is also a call to action, laying out a roadmap for using your newfound knowledge to influence the evolution of digitally inclusive, rights-respecting internet laws and policies. Whether you’re a citizen concerned about staying safe online, a civil servant seeking to address censorship, an advocate addressing worldwide freedom of expression issues, or simply someone with a cat-like curiosity about network infrastructure, you will be delighted — and enlightened — by Catnip’s felicitously fun guide to understanding how the internet really works!

Thoroughly revised and updated to address the many changes in this evolving field, the third edition of Legal and Privacy Issues in Information Security addresses the complex relationship between the law and the practice of information security. Information systems security and legal compliance are required to protect critical governmental and corporate infrastructure, intellectual property created by individuals and organizations alike, and information that individuals believe should be protected from unreasonable intrusion. Organizations must build numerous information security and privacy responses into their daily operations to protect the business itself, fully meet legal requirements, and to meet the expectations of employees and customers.

Instructor Materials for Legal Issues in Information Security include:

PowerPoint Lecture Slides
Instructor's Guide
Sample Course Syllabus
Quiz & Exam Questions
Case Scenarios/Handouts

New to the third Edition:

• Includes discussions of amendments in several relevant federal and state laws and regulations since 2011 • Reviews relevant court decisions that have come to light since the publication of the first edition • Includes numerous information security data breaches highlighting new vulnerabilities

This IBM® Redpaper publication describes the architecture, installation procedure, and results for running a typical training application that works on an automotive data set in an orchestrated and secured environment that provides horizontal scalability of GPU resources across physical node boundaries for deep neural network (DNN) workloads. This paper is mostly relevant for systems engineers, system administrators, or system architects that are responsible for data center infrastructure management and typical day-to-day operations such as system monitoring, operational control, asset management, and security audits. This paper also describes IBM Spectrum® LSF® as a workload manager and IBM Spectrum Discover as a metadata search engine to find the right data for an inference job and automate the data science workflow. With the help of this solution, the data location, which may be on different storage systems, and time of availability for the AI job can be fully abstracted, which provides valuable information for data scientists.