The book demonstrates how to analyze World data bases and graph and map the results.

Follow FC as he steals from the world’s most secure banks and government facilities—without breaking a single law In How I Rob Banks: And Other Such Places, renowned ethical hacker and social engineer FC delivers a gripping and often hilarious discussion of his work: testing the limits of physical bank security by trying to “steal” money, data, and anything else he can get his hands on. In the book, you’ll explore the secretive world of physical assessments and follow FC as he breaks into banks and secure government locations to identify security flaws and loopholes. The author explains how banks and other secure facilities operate, both digitally and physically, and shows you the tools and techniques he uses to gain access to some of the world’s most locked-down buildings. You’ll also find: Strategies you can implement immediately to better secure your own company, home, and data against malicious actors Detailed photos, maps, and drawings to bring to life the unbelievable true stories contained inside An inside and candid look at a rarely examined industry through the eyes of one of its most respected penetration testers A can’t-miss account of real-life security exploits perfect for infosec pros, including red and blue teamers, pentesters, CIOs, CISSPs, and social engineers, How I Rob Banks also belongs in the hands of anyone who loves a great Ocean’s 11-style story pulled straight from the real world.

Metro sync disaster recovery (DR) provides two-way synchronous data replication between IBM Spectrum Fusion™ HCI clusters installed at two sites. In the event of a site disaster, applications can be failed over to the second site. The replication between the sites is synchronous, hence, the Metro sync DR solution is only available for metropolitan distance data centers with 40 millisecond latency or less. The procedures described in this paper for IBM Spectrum Fusion HCI 2.4 Metro sync DR are the same for IBM Storage Fusion HCI 2.5.2 Metro-DR. This IBM Redpaper publication will help you install and configure the new Metro sync DR function). The use case will show the end to end process with the failover and failback of the WordPress application. IBM Spectrum Fusion HCI and IBM Spectrum Fusion have become IBM Storage Fusion HCI System and IBM Storage Fusion. This edition uses the IBM Spectrum® brand names and will be updated with the next edition.

This comprehensive guide, "Data Modeling with Snowflake", is your go-to resource for mastering the art of efficient data modeling tailored to the capabilities of the Snowflake Data Cloud. In this book, you will learn how to design agile and scalable data solutions by effectively leveraging Snowflake's unique architecture and advanced features. What this Book will help me do Understand the core principles of data modeling and how they apply to Snowflake's cloud-native environment. Learn to use Snowflake's features, such as time travel and zero-copy cloning, to create efficient data solutions. Gain hands-on experience with SQL recipes that outline practical approaches to transforming and managing Snowflake data. Discover techniques for modeling structured and semi-structured data for real-world business needs. Learn to integrate universal modeling frameworks like Star Schema and Data Vault into Snowflake implementations for scalability and maintainability. Author(s) The author, Serge Gershkovich, is a seasoned expert in database design and Snowflake architecture. With years of experience in the data management field, Serge has dedicated himself to making complex technical subjects approachable to professionals at all levels. His insights in this book are informed by practical applications and real-world experience. Who is it for? This book is targeted at data professionals, ranging from newcomers to database design to seasoned SQL developers seeking to specialize in Snowflake. If you are looking to understand and apply data modeling practices effectively within Snowflake's architecture, this book is for you. Whether you're refining your modeling skills or getting started with Snowflake, it provides the practical knowledge you need to succeed.

Application modernization has become increasingly important as older systems struggle to keep up with today's requirements. When you migrate legacy monolithic applications to microservices, easier maintenance and optimized resource utilization generally follow. But new challenges arise around communication within services and between applications. You can overcome many of these issues with the help of modern messaging technologies such as Apache Kafka. In this report, Jennifer Vargas and Richard Stroop from Red Hat explain how IT leaders and enterprise architects can use Kafka for microservices communication and then off-load operational needs through the use of Kubernetes and managed services. You'll also explore application modernization techniques that don't require you to break down your monolithic application. This report helps you: Understand the importance of migrating your monolithic applications to microservices Examine the various challenges you may face during the modernization process Explore application modernization techniques and learn the benefits of using Apache Kafka during the development process Learn how Apache Kafka can support business outcomes Understand how Kubernetes can help you overcome any difficulties you may encounter when using Kafka for application development

MySQL Crash Course is a fast-paced, no-nonsense introduction to relational database development. It’s filled with practical examples and expert advice that will have you up and running quickly. You’ll learn the basics of SQL, how to create a database, craft SQL queries to extract data, and work with events, procedures, and functions. You’ll see how to add constraints to tables to enforce rules about permitted data and use indexes to accelerate data retrieval. You’ll even explore how to call MySQL from PHP, Python, and Java. Three final projects will show you how to build a weather database from scratch, use triggers to prevent errors in an election database, and use views to protect sensitive data in a salary database. You’ll also learn how to: •Query database tables for specific information, order the results, comment SQL code, and deal with null values •Define table columns to hold strings, integers, and dates, and determine what data types to use •Join multiple database tables as well as use temporary tables, common table expressions, derived tables, and subqueries •Add, change, and remove data from tables, create views based on specific queries, write reusable stored routines, and automate and schedule events The perfect quick-start resource for database developers, MySQL Crash Course will arm you with the tools you need to build and manage fast, powerful, and secure MySQL-based data storage systems.

The immense increase on the size and type of real time data generated across various edge computing platform results in unstructured databases and data silos. This edited book gathers together an international set of researchers to investigate the possibilities offered by data-fabric solutions; the volume focuses in particular on data architectures and on semantic changes in future data landscapes.

Classical data envelopment analysis (DEA) models use crisp data to measure the inputs and outputs of a given system. In cases such as manufacturing systems, production processes, service systems, etc., the inputs and outputs may be complex and difficult to measure with classical DEA models. Crisp input and output data are fundamentally indispensable in the conventional DEA models. If these models contain complex uncertain data, then they will become more important and practical for decision makers.Uncertainty in Data Envelopment Analysis introduces methods to investigate uncertain data in DEA models, providing a deeper look into two types of uncertain DEA methods, fuzzy DEA and belief degree-based uncertainty DEA, which are based on uncertain measures. These models aim to solve problems encountered by classical data analysis in cases where the inputs and outputs of systems and processes are volatile and complex, making measurement difficult. Introduces methods to deal with uncertain data in DEA models, as a source of information and a reference book for researchers and engineers Presents DEA models that can be used for evaluating the outputs of many reallife systems in social and engineering subjects Provides fresh DEA models for efficiency evaluation from the perspective of imprecise data Applies the fuzzy set and uncertainty theories to DEA to produce a new method of dealing with the empirical data

This project-oriented book gives you a hands-on approach to designing, developing, and templating your Snowflake platform delivery. Written by seasoned Snowflake practitioners, the book is full of practical guidance and advice to accelerate and mature your Snowflake journey. Working through the examples helps you develop the skill, knowledge, and expertise to expand your organization’s core Snowflake capability and prepare for later incorporation of additional Snowflake features as they become available. Your Snowflake platform will be resilient, fit for purpose, extensible, and guarantee rapid, consistent, and repeatable, pattern-based deployments ready for application delivery. When a Snowflake account is delivered there are no controls, guard rails, external monitoring, nor governance mechanisms baked in. From a large organization perspective, this book explains how to deliver your core Snowflake platform in the form of a Landing Zone, a consistent, templated approach that assumes familiarity with Snowflake core concepts and principles. The book also covers Snowflake from a governance perspective and addresses the “who can see what?” question, satisfying requirements to know for certain that your Snowflake accounts properly adhere to your organization’s data usage policies. The book provides a proven pathway to success by equipping you with skill, knowledge, and expertise to accelerate Snowflake adoption within your organization. The patterns delivered within this book are used for production deployment, and are proven in real-world use. Examples in the book help you succeed in an environment in which governance policies, processes, and procedures oversee and control every aspect of your Snowflake platform development and delivery life cycle. Your environment may not be so exacting, but you’ll still benefit from the rigorous and demanding perspective this book’s authors bring to the table. The book showsyou how to leverage what you already know and adds what you don’t know, all applied to deliver your Snowflake accounts. You will know how to position your organization to deliver consistent Snowflake accounts that are prepared and ready for immediate application development. What You Will Learn Create a common, consistent deployment framework for Snowflake in your organization Enable rapid up-skill and adoption of Snowflake, leveraging the benefits of cloud platforms Develop a deep understanding of Snowflake administration and configuration Implement consistent, approved design patterns that reduce account provisioning times Manage data consumption by monitoring and controlling access to datasets Who This Book Is For Systems administrators charged with delivering a common implementationpattern for all Snowflake accounts within an organization; senior managers looking to simplify the delivery of complex technology into their existing infrastructure; developers seeking to understand guard rails, monitoring, and controls to ensure that Snowflake meets their organization's requirements; sales executives needing to understand how their data usage can be monitored and gain insights into how their data is being consumed; governance colleagues wanting to know who can see each data set, and wanting to identify toxic role combinations, and have confidence that their Snowflake accounts are properly provisioned

Data lakes and warehouses have become increasingly fragile, costly, and difficult to maintain as data gets bigger and moves faster. Data meshes can help your organization decentralize data, giving ownership back to the engineers who produced it. This book provides a concise yet comprehensive overview of data mesh patterns for streaming and real-time data services. Authors Hubert Dulay and Stephen Mooney examine the vast differences between streaming and batch data meshes. Data engineers, architects, data product owners, and those in DevOps and MLOps roles will learn steps for implementing a streaming data mesh, from defining a data domain to building a good data product. Through the course of the book, you'll create a complete self-service data platform and devise a data governance system that enables your mesh to work seamlessly. With this book, you will: Design a streaming data mesh using Kafka Learn how to identify a domain Build your first data product using self-service tools Apply data governance to the data products you create Learn the differences between synchronous and asynchronous data services Implement self-services that support decentralized data

As legacy and other critical systems continue to migrate online, the need for continuous operation is imperative. Code has to handle data issues as well as hard external problems today, including outages of networks, storage systems, power, and ancillary systems. This practical guide provides system administrators, DevSecOps engineers, and cloud architects with a concise yet comprehensive overview on how to use PL/SQL to develop resilient database solutions. Integration specialist Stephen B Morris helps you understand the language, build a PL/SQL toolkit, and collect a suite of reusable components and patterns. You'll dive into the benefits of synthesizing the toolkit with a requirements-driven, feature-oriented approach and learn how to produce resilient solutions by synthesizing the PL/SQL toolkit in conjunction with a scale of resilience. Build solid PL/SQL solutions while avoiding common PL/SQL antipatterns Learn why embedding complex business logic in SQL is often a brittle proposition Learn how to recognize and improve weak PL/SQL code Verify PL/SQL code by running data-driven, in-database tests Understand the safe operation, maintenance, and modification of complex PL/SQL systems Learn the benefits of thinking about features rather than just use cases Define good requirements for PL/SQL and hybrid solutions involving PL/SQL and high level languages

On the solution of an optimal search problem with an exponential detection function. Covers one- and two-sided detection problems by furnishing continuous and discret time strategies; examines two-sided search strategies with solutions in hide and seek games in many discrete and continuous bounded

This IBM® Redpaper™ publication is a comprehensive guide that covers the IBM Power System AC922 server (8335-GTH and 8335-GTX models). The Power AC922 server is the next generation of the IBM POWER® processor-based systems, which are designed for deep learning (DL) and artificial intelligence (AI), high-performance analytics, and high-performance computing (HPC). This paper introduces the major innovative Power AC922 server features and their relevant functions: Powerful IBM POWER9™ processors that offer up to 22 cores at up to 2.80 GHz (3.10 GHz turbo) performance with up to 2 TB of memory. IBM Coherent Accelerator Processor Interface (CAPI) 2.0, IBM OpenCAPI™, and second-generation NVIDIA NVLink 2.0 technology for exceptional processor to accelerator intercommunication. Up to six dedicated NVIDIA Tesla V100 graphics processing units (GPUs). This publication is for professionals who want to acquire a better understanding of IBM Power Systems™ products and is intended for the following audiences: Clients Sales and marketing professionals Technical support professionals IBM Business Partners Independent software vendors (ISVs) This paper expands the set of IBM Power Systems documentation by providing a desktop reference that offers a detailed technical description of the Power AC922 server. 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.

Between major privacy regulations like the GDPR and CCPA and expensive and notorious data breaches, there has never been so much pressure to ensure data privacy. Unfortunately, integrating privacy into data systems is still complicated. This essential guide will give you a fundamental understanding of modern privacy building blocks, like differential privacy, federated learning, and encrypted computation. Based on hard-won lessons, this book provides solid advice and best practices for integrating breakthrough privacy-enhancing technologies into production systems. Practical Data Privacy answers important questions such as: What do privacy regulations like GDPR and CCPA mean for my data workflows and data science use cases? What does "anonymized data" really mean? How do I actually anonymize data? How does federated learning and analysis work? Homomorphic encryption sounds great, but is it ready for use? How do I compare and choose the best privacy-preserving technologies and methods? Are there open-source libraries that can help? How do I ensure that my data science projects are secure by default and private by design? How do I work with governance and infosec teams to implement internal policies appropriately?

This IBM Redpaper publication presents and positions the DS8910F Model 993 storage system. This modular system can be integrated into a 16U contiguous space of an IBM z15™ model T02 or IBM z14® Model ZR1 with Feature Code 0937 and IBM LinuxONE III model LT2 or LinuxONE Rockhopper II model LR1 with Feature Code 0938. The DS8910F Model 993 allows you to take advantage of the performance boost of all-flash systems and advanced features while limiting data center footprint and power infrastructure requirements.

The modern data stack has evolved rapidly in the past decade. Yet, as enterprises migrate vast amounts of data from on-premises platforms to the cloud, data teams continue to face limitations executing data transformation at scale. Data transformation is an integral part of the analytics workflow--but it's also the most time-consuming, expensive, and error-prone part of the process. In this report, Satish Jayanthi and Armon Petrossian examine key concepts that will enable you to automate data transformation at scale. IT decision makers, CTOs, and data team leaders will explore ways to democratize data transformation by shifting from activity-oriented to outcome-oriented teams--from manufacturing-line assembly to an approach that lets even junior analysts implement data with only a brief code review. With this insightful report, you will: Learn how successful data systems rely on simplicity, flexibility, user-friendliness, and a metadata-first approach Adopt a product-first mindset (data as a product, or DaaP) for developing data resources that focus on discoverability, understanding, trust, and exploration Build a transformation platform that delivers the most value, using a column-first approach Use data architecture as a service (DAaaS) to help teams build and maintain their own data infrastructure as they work collaboratively About the authors: Armon Petrossian is CEO and cofounder of Coalesce. Previously, he was part of the founding team at WhereScape in North America, where he served as national sales manager for almost a decade. Satish Jayanthi is CTO and cofounder of Coalesce. Prior to that, he was senior solutions architect at WhereScape, where he met his cofounder Armon.

This IBM® Redpaper Product Guide describes the IBM FlashSystem® 7300 solution, which is a next-generation IBM FlashSystem control enclosure. It combines the performance of flash and a Non-Volatile Memory Express (NVMe)-optimized architecture with the reliability and innovation of IBM FlashCore® technology and the rich feature set and high availability (HA) of IBM Spectrum® Virtualize. To take advantage of artificial intelligence (AI)-enhanced applications, real-time big data analytics, and cloud architectures that require higher levels of system performance and storage capacity, enterprises around the globe are rapidly moving to modernize established IT infrastructures. However, for many organizations, staff resources, and expertise are limited, and cost-efficiency is a top priority. These organizations have important investments in existing infrastructure that they want to maximize. They need enterprise-grade solutions that optimize cost-efficiency while simplifying the pathway to modernization. IBM FlashSystem 7300 is designed specifically for these requirements and use cases. It also delivers a cyber resilience without compromising application performance. IBM FlashSystem 7300 provides a rich set of software-defined storage (SDS) features that are delivered by IBM Spectrum Virtualize, including the following examples: Data reduction and deduplication Dynamic tiering Thin-provisioning Snapshots Cloning Replication and data copy services Cyber resilience Transparent Cloud Tiering (TCT) IBM HyperSwap® including 3-site replication for high availability Scale-out and scale-up configurations further enhance capacity and throughput for better availability With the release of IBM Spectrum Virtualize V8.5, extra functions and features are available, including support for new third-generation IBM FlashCore Modules Non-Volatile Memory Express (NVMe) type drives within the control enclosure, and 100 Gbps Ethernet adapters that provide NVMe Remote Direct Memory Access (RDMA) options. New software features include GUI enhancements, security enhancements including multifactor authentication and single sign-on, and Fibre Channel (FC) portsets.

Reachable Sets of Dynamic Systems: Uncertainty, Sensitivity, and Complex Dynamics introduces differential inclusions, providing an overview as well as multiple examples of its interdisciplinary applications. The design of dynamic systems of any type is an important issue as is the influence of uncertainty in model parameters and model sensitivity. The possibility of calculating the reachable sets may be a powerful additional tool in such tasks. This book can help graduate students, researchers, and engineers working in the field of computer simulation and model building, in the calculation of reachable sets of dynamic models. Introduces methodologies and approaches to the modeling and simulation of dynamic systems Presents uncertainty treatment and model sensitivity are described, and interdisciplinary examples Explores applications of differential inclusions in modeling and simulation

Master the intricacies of Snowflake and prepare for the SnowPro Advanced Architect Certification exam with this comprehensive study companion. This book provides robust and effective study tools to help you prepare for the exam and is also designed for those who are interested in learning the advanced features of Snowflake. The practical examples and in-depth background on theory in this book help you unleash the power of Snowflake in building a high-performance system. The best practices demonstrated in the book help you use Snowflake more powerfully and effectively as a data warehousing and analytics platform. Reading this book and reviewing the concepts will help you gain the knowledge you need to take the exam. The book guides you through a study of the different domains covered on the exam: Accounts and Security, Snowflake Architecture, Data Engineering, and Performance Optimization. You’ll also be well positioned to apply your newly acquired practical skills to real-world Snowflake solutions. You will have a deep understanding of Snowflake to help you take full advantage of Snowflake’s architecture to deliver value analytics insight to your business. What You Will Learn Gain the knowledge you need to prepare for the exam Review in-depth theory on Snowflake to help you build high-performance systems Broaden your skills as a data warehouse designer to cover the Snowflake ecosystem Optimize performance and costs associated with your use of the Snowflake data platform Share data securely both inside your organization and with external partners Apply your practical skills to real-world Snowflake solutions Who This Book Is For Anyone who is planning to take the SnowPro Advanced Architect Certification exam, those who want to move beyond traditional database technologies and build their skills to design and architect solutions using Snowflake services, and veteran database professionals seeking an on-the-job reference to understand one of the newest and fastest-growing technologies in data

The exponential growth of data combined with the need to derive real-time business value is a critical issue today. An event-driven data mesh can power real-time operational and analytical workloads, all from a single set of data product streams. With practical real-world examples, this book shows you how to successfully design and build an event-driven data mesh. Building an Event-Driven Data Mesh provides: Practical tips for iteratively building your own event-driven data mesh, including hurdles you'll experience, possible solutions, and how to obtain real value as soon as possible Solutions to pitfalls you may encounter when moving your organization from monoliths to event-driven architectures A clear understanding of how events relate to systems and other events in the same stream and across streams A realistic look at event modeling options, such as fact, delta, and command type events, including how these choices will impact your data products Best practices for handling events at scale, privacy, and regulatory compliance Advice on asynchronous communication and handling eventual consistency

In "Principles of Data Fabric," you will gain a comprehensive understanding of Data Fabric solutions and architectures. This book provides a clear picture of how to design, implement, and optimize Data Fabric solutions to tackle complex data challenges. By the end, you'll be equipped with the knowledge to unify and leverage your organizational data efficiently. What this Book will help me do Design and architect Data Fabric solutions tailored to specific organizational needs. Learn to integrate Data Fabric with DataOps and Data Mesh for holistic data management. Master the principles of Data Governance and Self-Service analytics within the Data Fabric. Implement best practices for distributed data management and regulatory compliance. Apply industry insights and frameworks to optimize Data Fabric deployment. Author(s) Sonia Mezzetta, the author of "Principles of Data Fabric," is an experienced data professional with a deep understanding of data management frameworks and architectures like Data Fabric, Data Mesh, and DataOps. With years of industry expertise, Sonia has helped organizations implement effective data strategies. Her writing combines technical know-how with an approachable style to enlighten and guide readers on their data journey. Who is it for? This book is ideal for data engineers, data architects, and business analysts who seek to understand and implement Data Fabric solutions. It will also appeal to senior data professionals like Chief Data Officers aiming to integrate Data Fabric into their enterprises. Novice to intermediate knowledge of data management would be beneficial for readers. The content provides clear pathways to achieve actionable results in data strategies.

A concise introduction to database design concepts, methods, and techniques in and out of the cloud In the newly revised second edition of Beginning Database Design Solutions: Understanding and Implementing Database Design Concepts for the Cloud and Beyond, Second Edition, award-winning programming instructor and mathematician Rod Stephens delivers an easy-to-understand guide to designing and implementing databases both in and out of the cloud. Without assuming any prior database design knowledge, the author walks you through the steps you’ll need to take to understand, analyze, design, and build databases. In the book, you’ll find clear coverage of foundational database concepts along with hands-on examples that help you practice important techniques so you can apply them to your own database designs, as well as: Downloadable source code that illustrates the concepts discussed in the book Best practices for reliable, platform-agnostic database design Strategies for digital transformation driven by universally accessible database design An essential resource for database administrators, data management specialists, and database developers seeking expertise in relational, NoSQL, and hybrid database design both in and out of the cloud, Beginning Database Design Solutions is a hands-on guide ideal for students and practicing professionals alike.

Finding exciting and efficient ways to integrate data into control theory has been a problem of great interest. As most of the classical contributions in control strategy rely on model description, the issue of finding such a model from measured data, i.e., system identification, has become mature research filed.

Understand modern data fabric and data mesh concepts using AI-based self-service data discovery and delivery capabilities, a range of intelligent data integration styles, and automated unified data governance—all designed to deliver "data as a product" within hybrid cloud landscapes. This book teaches you how to successfully deploy state-of-the-art data mesh solutions and gain a comprehensive overview on how a data fabric architecture uses artificial intelligence (AI) and machine learning (ML) for automated metadata management and self-service data discovery and consumption. You will learn how data fabric and data mesh relate to other concepts such as data DataOps, MLOps, AIDevOps, and more. Many examples are included to demonstrate how to modernize the consumption of data to enable a shopping-for-data (data as a product) experience. By the end of this book, you will understand the data fabric concept and architecture as it relates to themes such as automated unifieddata governance and compliance, enterprise information architecture, AI and hybrid cloud landscapes, and intelligent cataloging and metadata management. What You Will Learn Discover best practices and methods to successfully implement a data fabric architecture and data mesh solution Understand key data fabric capabilities, e.g., self-service data discovery, intelligent data integration techniques, intelligent cataloging and metadata management, and trustworthy AI Recognize the importance of data fabric to accelerate digital transformation and democratize data access Dive into important data fabric topics, addressing current data fabric challenges Conceive data fabric and data mesh concepts holistically within an enterprise context Become acquainted with the business benefits of data fabric and data mesh Who This Book Is For Anyone who is interested in deploying modern data fabric architectures and data mesh solutions within an enterprise, including IT and business leaders, data governance and data office professionals, data stewards and engineers, data scientists, and information and data architects. Readers should have a basic understanding of enterprise information architecture.

This IBM® Redbooks Product Guide provides an overview of the features and functions that are available with the IBM Storage DS8900F models that run microcode Release 9.3.2 (Bundle 89.32/Licensed Machine Code 7.9.32). As of February 2023, the DS8900F with DS8000 Release 9.3.2 is the latest addition. The DS8900F is an all-flash system exclusively, and it offers three classes: IBM DS8980F: Analytic Class: The DS8980F Analytic Class offers best performance for organizations that want to expand their workload possibilities to artificial intelligence (AI), Business Intelligence, and Machine Learning. IBM DS8950F: Agility Class: The agility class is efficiently designed to consolidate all your mission-critical workloads for IBM zSystems, IBM LinuxONE, IBM Power Systems, and distributed environments under a single all-flash storage solution. IBM DS8910F: Flexibility Class: The flexibility class delivers significant performance for midrange organizations that are looking to meet storage challenges with advanced functionality delivered as a single rack solution.