This book provides comprehensive research and explores the different applications of data science and machine learning in subsurface engineering.

Discover the many capabilities of MongoDB 7.0 with this comprehensive guide designed to take your database skills to new heights. By exploring advanced features like aggregation pipelines, role-based security, and MongoDB Atlas, you will gain in-depth expertise in modern data management. This book empowers you to create secure, high-performance database applications. What this Book will help me do Understand and implement advanced MongoDB queries for detailed data analysis. Apply optimized indexing techniques to maximize query performance. Leverage MongoDB Atlas for robust monitoring, efficient backups, and advanced integrations. Develop secure applications with role-based access control, auditing, and encryption. Create scalable and innovative solutions using the latest features in MongoDB 7.0. Author(s) Marko Aleksendrić, Arek Borucki, and their co-authors are accomplished experts in database engineering and MongoDB development. They bring collective experience in teaching and practical application of MongoDB solutions across various industries. Their goal is to simplify complex topics, making them approachable and actionable for developers worldwide. Who is it for? This book is written for developers, software engineers, and database administrators with experience in MongoDB who want to deepen their expertise. An understanding of basic database operations and queries is recommended. If you are looking to master advanced concepts and create secure, optimized, and scalable applications, this is the book for you.

This Redpaper provides an overview of IBM Storage Fusion Multicloud Object Gateway (MCG) and can be used as a quick reference guide for the most common use cases. The intended audience is cloud and application administrators, as well as other technical staff members who wish to learn how MCG works, how to set it up, and usage of a Backing Store or Namespace Store, as well as object caching.

Master networking, privacy, and security for iOS and iPadOS! Version 4.2, updated January 29, 2024 Ensuring that your iPhone or iPad’s data remains secure and in your control and that your private data remains private isn’t a battle—if you know what boxes to check and how to configure iOS and iPadOS to your advantage. Take Control of iOS & iPadOS Privacy and Security takes you into the intricacies of Apple’s choices when it comes to networking, data sharing, and encryption—and protecting your personal safety. Substantially updated to cover dozens of changes and new features in iOS 17 and iPadOS 17! Your iPhone and iPad have become the center of your digital identity, and it’s easy to lose track of all the ways in which Apple and other parties access your data legitimately—or without your full knowledge and consent. While Apple nearly always errs on the side of disclosure and permission, many other firms don’t. This book comprehensively explains how to configure iOS 17, iPadOS 17, and iCloud-based services to best protect your privacy with messaging, email, browsing, and much more. The book also shows you how to ensure your devices and data are secure from intrusion from attackers of all types. You’ll get practical strategies and configuration advice to protect yourself against psychological and physical threats, including restrictions on your freedom and safety. For instance, you can now screen images that may contain nude images, while Apple has further enhanced Lockdown Mode to block potential attacks by governments, including your own. Take Control of iOS & iPadOS Privacy and Security covers how to configure the hundreds of privacy and data sharing settings Apple offers in iOS and iPadOS, and which it mediates for third-party apps. Safari now has umpteen different strategies built in by Apple to protect your web surfing habits, personal data, and identity, and new features in Safari, Mail, and Messages that block tracking of your movement across sites, actions on ads, and even when you open and view an email message. In addition to privacy and security, this book also teaches you everything you need to know about networking, whether you’re using 3G, 4G LTE, or 5G cellular, Wi-Fi or Bluetooth, or combinations of all of them; as well as about AirDrop, AirPlay, Airplane Mode, Personal Hotspot, and tethering. You’ll learn how to:

Twiddle 5G settings to ensure the best network speeds on your iPhone or iPad. Master the options for a Personal Hotspot for yourself and in a Family Sharing group. Set up a device securely from the moment you power up a new or newly restored iPhone or iPad. Manage Apple’s built-in second factor verification code generator for extra-secure website and app logins. Create groups of passwords and passkeys you can share securely with other iPhone, iPad, and Mac users. Decide whether Advanced Data Protection in iCloud, an enhanced encryption option that makes nearly all your iCloud data impossible for even Apple to view, makes sense for you. Use passkeys, a high-security but easy-to-use website login system with industry-wide support. Block unknown (and unwanted) callers, iMessage senders, and phone calls, now including FaceTime. Protect your email by using Hide My Email, a iCloud+ tool to generate an address Apple manages and relays messages through for you—now including email used with Apple Pay transactions. Use Safari’s blocking techniques and how to review websites’ attempts to track you, including the latest improvements in iOS 17 and iPadOS 17. Use Communication Safety, a way to alert your children about sensitive images—but now also a tool to keep unsolicited and unwanted images of private parts from appearing on your devices. Understand why Apple might ask for your iPhone, iPad, or Mac password when you log in on a new device using two-factor authentication. Keep yourself safe when en route to a destination by creating a Check In partner who will be alerted if you don’t reach your intended end point or don’t respond within a period of time. Dig into Private Browsing’s several new features in iOS 17/iPadOS 17, designed to let you leave no trace of your identity or actions behind, while protecting your iPhone or iPad from prying eyes, too. Manage data usage across two phone SIMs (or eSIMS) at home and while traveling. Use a hardware encryption key to strongly protect your Apple ID account. Share a Wi-Fi password with nearby contacts and via a QR Code. Differentiate between encrypted data sessions and end-to-end encryption. Stream music and video to other devices with AirPlay 2. Use iCloud+’s Private Relay, a privacy-protecting browsing service that keeps your habits and locations from prying marketing eyes. Deter brute-force cracking by relying on an Accessories timeout for devices physically being plugged in that use USB and other standards. Configure Bluetooth devices. Enjoy enhanced AirDrop options that let you tap two iPhones to transfer files and continue file transfers over the internet when you move out of range. Protect Apple ID account and iCloud data from unwanted access at a regular level and via the new Safety Check, designed to let you review or sever digital connections with people you know who may wish you harm.

This book presents how Building Information Modeling (BIM) and the use of shared representation of built assets facilitate design, construction and operation processes (ISO 19650). The modeling of public works data disrupts the art of construction. Written by both academics and engineers who are heavily involved in the French research project Modélisation des INformations INteropérables pour les INfrastructues Durables (MINnD) as well as in international standardization projects, this book presents the challenges of BIM from theoretical and practical perspectives. It provides knowledge for evolving in an ecosystem of federated models and common data environments, which are the basis of the platforms and data spaces. BIM makes it possible to handle interoperability very concretely, using open standards, which lead to openBIM. The use of a platform allows for the merging of business software and for approaches such as a Geographic Information System (GIS) to be added to the processes. In organizations, BIM meets the life cycles of structures and circular economy. It is not only a technique that reshapes cooperation and trades around a digital twin but can also disrupt organizations and business models.

This IBM® Redpaper® Product Guide describes the IBM SAN Volume Controller model SV3 solution, which is a next-generation IBM SAN Volume Controller. Built with IBM Storage Virtualize software and part of the IBM Storage family, IBM SAN Volume Controller is an enterprise-class storage system. It helps organizations achieve better data economics by supporting the large-scale workloads that are critical to success. Data centers often contain a mix of storage systems. This situation can arise as a result of company mergers or as a deliberate acquisition strategy. Regardless of how they arise, mixed configurations add complexity to the data center. Different systems have different data services, which make it difficult to move data from one to another without updating automation. Different user interfaces increase the need for training and can make errors more likely. Different approaches to hybrid cloud complicate modernization strategies. Also, many different systems mean more silos of capacity, which can lead to inefficiency. To simplify the data center and to improve flexibility and efficiency in deploying storage, enterprises of all types and sizes turn to IBM SAN Volume Controller, which is built with IBM Spectrum Virtualize software. This software simplifies infrastructure and eliminates differences in management, function, and even hybrid cloud support. IBM SAN Volume Controller introduces a common approach to storage management, function, replication, and hybrid cloud that is independent of storage type. It is the key to modernizing and revitalizing your storage, but is as easy to understand. IBM SAN Volume Controller provides a rich set of software-defined storage (SDS) features that are delivered by IBM Storage Virtualize, including the following examples: Data reduction and deduplication Dynamic tiering Thin-provisioning Snapshots Cloning Replication and data copy services Data-at-rest encryption Cyber resilience Transparent Cloud Tiering IBM HyperSwap® including three-site replication for high availability (HA) This Redpaper applies to IBM Storage Virtualize V8.6.

Write optimized queries. This book helps you write queries that perform fast and deliver results on time. You will learn that query optimization is not a dark art practiced by a small, secretive cabal of sorcerers. Any motivated professional can learn to write efficient queries from the get-go and capably optimize existing queries. You will learn to look at the process of writing a query from the database engine’s point of view, and know how to think like the database optimizer. The book begins with a discussion of what a performant system is and progresses to measuring performance and setting performance goals. It introduces different classes of queries and optimization techniques suitable to each, such as the use of indexes and specific join algorithms. You will learn to read and understand query execution plans along with techniques for influencing those plans for better performance. The book also covers advanced topics such as the use of functions and procedures, dynamic SQL, and generated queries. All of these techniques are then used together to produce performant applications, avoiding the pitfalls of object-relational mappers. This second edition includes new examples using Postgres 15 and the newest version of the PostgresAir database. It includes additional details and clarifications about advanced topics, and covers configuration parameters in greater depth. Finally, it makes use of advancements in NORM, using automatically generated functions. What You Will Learn Identify optimization goals in OLTP and OLAP systems Read and understand PostgreSQL execution plans Distinguish between short queries and long queries Choose the right optimization technique for each query type Identify indexes that will improve query performance Optimize full table scans Avoid the pitfalls of object-relational mapping systems Optimize the entire application rather than just database queries Who This Book Is For IT professionals working in PostgreSQL who want to develop performant and scalable applications, anyone whose job title contains the words “database developer” or “database administrator" or who is a backend developer charged with programming database calls, and system architects involved in the overall design of application systems running against a PostgreSQL database

Mastering MongoDB 7.0 is your in-depth resource for learning MongoDB 7.0, the powerful NoSQL database designed for developers. Gain expertise in database architecture, data management, and modern features like MongoDB Atlas. By reading this book, you'll acquire the essential skills needed for building efficient, scalable, and secure applications. What this Book will help me do Develop expert-level skills in crafting advanced queries and managing complex data tasks in MongoDB. Learn to design efficient schemas and optimize indexing to maximize database performance. Integrate applications seamlessly with MongoDB Atlas, mastering its monitoring and backup tools. Implement robust security with RBAC, auditing strategies, and comprehensive encryption. Explore the latest MongoDB 7.0 features, including Atlas Vector Search, for modern applications. Author(s) Marko Aleksendrić, Arek Borucki, and co-authors are recognized MongoDB experts with years of hands-on experience. They bring together their expertise to deliver a practical guide filled with real-world insights that help developers advance their MongoDB skills. Their collaborative writing ensures comprehensive coverage of MongoDB 7.0 tools and techniques. Who is it for? This book is written for software developers, database administrators, and engineers who have intermediate knowledge of MongoDB and want to extend their expertise. Whether you are developing scalable applications, managing data systems, or ensuring database security, this book offers advanced guidance for achieving your professional goals with MongoDB.

"Data Observability for Data Engineering" introduces you to the foundational concepts of observing and validating data pipeline health. With real-world projects and Python code examples, you'll gain hands-on experience in improving data quality and minimizing risks, enabling you to implement strategies that ensure accuracy and reliability in your data systems. What this Book will help me do Master data observability techniques to monitor and validate data pipelines effectively. Learn to collect and analyze meaningful metrics to gauge and improve data quality. Develop skills in Python programming specific to applying data concepts such as observable data state. Address scalability challenges using state-of-the-art observability frameworks and practices. Enhance your ability to manage and optimize data workflows ensuring seamless operation from start to end. Author(s) Authors Michele Pinto and Sammy El Khammal bring a wealth of experience in data engineering and observing scalable data systems. Pinto specializes in constructing robust analytics platforms while Khammal offers insights into integrating software observability into massive pipelines. Their collaborative writing style ensures readers find both practical advice and theoretical foundations. Who is it for? This book is geared toward data engineers, architects, and scientists who seek to confidently handle pipeline challenges. Whether you're addressing specific issues or wish to introduce proactive measures in your team, this guide meets the needs of those ready to leverage observability as a key practice.

Geospatial Artificial Intelligence (GeoAI) is the integration of geospatial studies and AI using machine learning and deep learning technologies. This comprehensive handbook explains and discusses key fundamental concepts, methods, models, technologies of GeoAI, recent advances, research tools, and applications in different fields.

In "Redis Stack for Application Modernization," you will explore how the Redis Stack extends traditional Redis capabilities, allowing you to innovate in building real-time, scalable, multi-model applications. Through practical examples and hands-on sessions, this book equips you with skills to manage, implement, and optimize data flows and database features. What this Book will help me do Learn how to use Redis Stack for handling real-time data with JSON, hash, and other document types. Discover modern techniques for performing vector similarity searches and hybrid workflows. Become proficient in integrating Redis Stack with programming languages like Java, Python, and Node.js. Gain skills to configure Redis Stack server for scalability, security, and high availability. Master RedisInsight for data visualization, analysis, and efficient database management. Author(s) Luigi Fugaro and None Ortensi are experienced software professionals with deep expertise in database systems and application architecture. They bring years of experience working with Redis and developing real-world applications. Their hands-on approach to teaching and real-world examples make this book a valuable resource for professionals in the field. Who is it for? This book is ideal for database administrators, developers, and architects looking to leverage Redis Stack for real-time multi-model applications. It requires a basic understanding of Redis and any programming language such as Python or Java. If you wish to modernize your applications and efficiently manage databases, this book is for you.

Design and architect new generation cloud-based data warehouses using Azure and AWS. This book provides an in-depth understanding of how to build modern cloud-native data warehouses, as well as their history and evolution. The book starts by covering foundational data warehouse concepts, and introduces modern features such as distributed processing, big data storage, data streaming, and processing data on the cloud. You will gain an understanding of the synergy, relevance, and usage data warehousing standard practices in the modern world of distributed data processing. The authors walk you through the essential concepts of Data Mesh, Data Lake, Lakehouse, and Delta Lake. And they demonstrate the services and offerings available on Azure and AWS that deal with data orchestration, data democratization, data governance, data security, and business intelligence. After completing this book, you will be ready to design and architect enterprise-grade, cloud-based modern data warehouses using industry best practices and guidelines. What You Will Learn Understand the core concepts underlying modern data warehouses Design and build cloud-native data warehousesGain a practical approach to architecting and building data warehouses on Azure and AWS Implement modern data warehousing components such as Data Mesh, Data Lake, Delta Lake, and Lakehouse Process data through pandas and evaluate your model’s performance using metrics such as F1-score, precision, and recall Apply deep learning to supervised, semi-supervised, and unsupervised anomaly detection tasks for tabular datasets and time series applications Who This Book Is For Experienced developers, cloud architects, and technology enthusiasts looking to build cloud-based modern data warehouses using Azure and AWS

DFSMSrmm is an IBM z/OS feature that is a fully functioning tape management system to manage your removable media. In the last decade, many enhancements were made to DFSMSrmm. This IBM Redbooks publication is intended to help you configure and use the newer functions and features that are now available. Discussion of the new features is included along with use cases. Hints and tips of various common DFSMSrmm problems and useful configuration and reporting JCL also are included. This publication is intended as a supplement to DFSMSrmm Primer, SG24-5983, which is still the recommended starting point for any users new to DFSMSrmm.

Build powerful, production-ready search applications using the incredible features of Elasticsearch. In Elasticsearch in Action, Second Edition you will discover: Architecture, concepts, and fundamentals of Elasticsearch Installing, configuring, and running Elasticsearch and Kibana Creating an index with custom settings Data types, mapping fundamentals, and templates Fundamentals of text analysis and working with text analyzers Indexing, deleting, and updating documents Indexing data in bulk, and reindexing and aliasing operations Learning search concepts, relevancy scores, and similarity algorithms Elasticsearch in Action, Second Edition teaches you to build scalable search applications using Elasticsearch. This completely new edition explores Elasticsearch fundamentals from the ground up. You’ll deep dive into design principles, search architectures, and Elasticsearch’s essential APIs. Every chapter is clearly illustrated with diagrams and hands-on examples. You’ll even explore real-world use cases for full text search, data visualizations, and machine learning. Plus, its comprehensive nature means you’ll keep coming back to the book as a handy reference! About the Technology Create fully professional-grade search engines with Elasticsearch and Kibana! Rewritten for the latest version of Elasticsearch, this practical book explores Elasticsearch’s high-level architecture, reveals infrastructure patterns, and walks through the search and analytics capabilities of numerous Elasticsearch APIs. About the Book Elasticsearch in Action, Second Edition teaches you how to add modern search features to websites and applications using Elasticsearch 8. In it, you’ll quickly progress from the basics of installation and configuring clusters, to indexing documents, advanced aggregations, and putting your servers into production. You’ll especially appreciate the mix of technical detail with techniques for designing great search experiences. What's Inside Understanding search architecture Full text and term-level search queries Analytics and aggregations High-level visualizations in Kibana Configure, scale, and tune clusters About the Reader For application developers comfortable with scripting and command-line applications. About the Author Madhusudhan Konda is a full-stack lead engineer, architect, mentor, and conference speaker. He delivers live online training on Elasticsearch and the Elastic Stack. Quotes Madhu’s passion comes across in the depth and breadth of this book, the enthusiastic tone, and the hands-on examples. I hope you will take what you have read and put it ‘in action’. - From the Foreword by Shay Banon, Founder of Elasticsearch Practical and well-written. A great starting point for beginners and a comprehensive guide for more experienced professionals. - Simona Russo, Serendipity The author’s excitement is evident from the first few paragraphs. Couple that with extensive experience and technical prowess, and you have an instant classic. - Herodotos Koukkides and Semi Koen, Global Japanese Financial Institution

Server Time Protocol (STP) is a server-wide facility that is implemented in the Licensed Internal Code (LIC) of the IBM Z® platform. It provides improved time synchronization in a sysplex or non-sysplex configuration. This IBM Redbooks® publication is intended for infrastructure architects and system programmers who need to understand the STP functions. Readers are expected to be familiar with IBM Z technology and terminology. This book provides planning and implementation information for STP functions and associated software support for the IBM z16™, IBM z15®, and IBM z14® platforms.

This cookbook is a comprehensive guide to mastering PostgreSQL 16 database administration. With over 180 practical recipes, this book covers everything from query performance and backup strategies to replication and high availability. You'll gain hands-on expertise in solving real-world challenges while leveraging the new and improved features of PostgreSQL 16. What this Book will help me do Perform efficient batch processing with Postgres' SQL MERGE statement. Implement parallel transaction processes using logical replication. Enhance database backups and recovery with advanced compression techniques. Monitor and fine-tune database performance for optimal operation. Apply new PostgreSQL 16 features for secure and reliable databases. Author(s) The team of authors, including Gianni Ciolli, Boriss Mejías, Jimmy Angelakos, Vibhor Kumar, and Simon Riggs, bring years of experience in PostgreSQL database management and development. Their expertise spans professional system administration, academic research, and contributions to PostgreSQL development. Their collaborative insights enrich this comprehensive guide. Who is it for? This book is ideal for PostgreSQL database administrators seeking advanced techniques, data architects managing PostgreSQL in production, and developers interested in mastering PostgreSQL 16. Whether you're an experienced DBA upgrading to PostgreSQL 16 or a newcomer looking for practical recipes, this book provides valuable strategies and solutions.

The book "Vector Search for Practitioners with Elastic" provides a comprehensive guide to leveraging vector search technology within Elastic for applications in NLP, cybersecurity, and observability. By exploring practical examples and advanced techniques, this book teaches you how to optimize and implement vector search to address complex challenges in modern data management. What this Book will help me do Gain a deep understanding of implementing vector search with Elastic. Learn techniques to optimize vector data storage and retrieval for practical applications. Understand how to apply vector search for image similarity in Elastic. Discover methods for utilizing vector search for security and observability enhancements. Develop skills to integrate modern NLP tools with vector databases and Elastic. Author(s) Bahaaldine Azarmi, with his extensive experience in Elastic and NLP technologies, brings a practitioner's insight into the world of vector search. Co-author None Vestal contributes expertise in observability and system optimization. Together, they deliver practical and actionable knowledge in a clear and approachable manner. Who is it for? This book is designed for data professionals seeking to deepen their expertise in vector search and Elastic technologies. It is ideal for individuals in observability, search technology, or cybersecurity roles. If you have foundational knowledge in machine learning models, Python, and Elastic, this book will enable you to effectively utilize vector search in your projects.

In "Data Exploration and Preparation with BigQuery," Michael Kahn provides a hands-on guide to understanding and utilizing Google's powerful data warehouse solution, BigQuery. This comprehensive book equips you with the skills needed to clean, transform, and analyze large datasets for actionable business insights. What this Book will help me do Master the process of exploring and assessing the quality of datasets. Learn SQL for performing efficient and advanced data transformations in BigQuery. Optimize the performance of BigQuery queries for speed and cost-effectiveness. Discover best practices for setting up and managing BigQuery resources. Apply real-world case studies to analyze data and derive meaningful insights. Author(s) Michael Kahn is an experienced data engineer and author specializing in big data solutions and technologies. With years of hands-on experience working with Google Cloud Platform and BigQuery, he has assisted organizations in optimizing their data pipelines for effective decision-making. His accessible writing style ensures complex topics become approachable, enabling readers of various skill levels to succeed. Who is it for? This book is tailored for data analysts, data engineers, and data scientists who want to learn how to effectively use BigQuery for data exploration and preparation. Whether you're new to BigQuery or looking to deepen your expertise in working with large datasets, this book provides clear guidance and practical examples to achieve your goals.

This book provides Kafka administrators, site reliability engineers, and DataOps and DevOps practitioners with a list of real production issues that can occur in Kafka clusters and how to solve them. The production issues covered are assembled into a comprehensive troubleshooting guide for those engineers who are responsible for the stability and performance of Kafka clusters in production, whether those clusters are deployed in the cloud or on-premises. This book teaches you how to detect and troubleshoot the issues, and eventually how to prevent them. Kafka stability is hard to achieve, especially in high throughput environments, and the purpose of this book is not only to make troubleshooting easier, but also to prevent production issues from occurring in the first place. The guidance in this book is drawn from the author's years of experience in helping clients and internal customers diagnose and resolve knotty production problems and stabilize their Kafka environments. The book is organized into recipe-style troubleshooting checklists that field engineers can easily follow when under pressure to fix an unstable cluster. This is the book you will want by your side when the stakes are high, and your job is on the line. What You Will Learn Monitor and resolve production issues in your Kafka clusters Provision Kafka clusters with the lowest costs and still handle the required loads Perform root cause analyses of issues affecting your Kafka clusters Know the ways in which your Kafka cluster can affect its consumers and producers Prevent or minimize data loss and delays in data streaming Forestall production issues through an understanding of common failure points Create checklists for troubleshooting your Kafka clusters when problems occur Who This Book Is For Site reliability engineers tasked with maintaining stability of Kafka clusters, Kafka administrators who troubleshoot production issues around Kafka, DevOps and DataOps experts who are involved with provisioning Kafka (whether on-premises or in the cloud), developers of Kafka consumers and producers who wish to learn more about Kafka

MySQL is one of the most popular database management systems available, powering everything from Internet powerhouses to individual corporate databases to simple end-user applications, and everything in between. This book will teach you all you need to know to be immediately productive with the latest version of MySQL. By working through 30 highly focused hands-on lessons, your MySQL Crash Course will be both easier and more effective than youd have thought possible. Learn How To Retrieve and Sort Data Filter Data Using Comparisons, Regular Expressions, Full Text Search, and Much More Join Relational Data Create and Alter Tables Insert, Update, and Delete Data Leverage the Power of Stored Procedures and Triggers Use Views and Cursors Manage Transactional Processing Create User Accounts and Manage Security via Access Control ...

S/4HANA empowers enterprises to take big steps towards digitalization, innovation, and being mobile-friendly. This book is a concise guide to SAP S/4HANA Asset Management and will help you begin leveraging the platform’s capabilities quickly and efficiently. SAP S/4HANA Asset Management begins with an overview of the platform and its structure. You will learn how it can help with data storage and analysis, business processes, and reporting and analytics. As the book progresses, you will gain insight into single, time-based, performance-based, and multiple counter-based strategy plans. Any project is incomplete without a budget, and this book will help you understand how to use SAP S/4HANA to create and manage yours. The book’s real-life examples of asset management from contemporary industries reinforce each concept you learn, and its coverage of newer technologies and offerings in S/4HANA Asset Management will give you a sense of the immense potential offered by the platform. When you have finished this book, you will be ready to begin using SAP/S4HANA Asset Management to improve operational planning, maintenance, and scheduling activities in your own business. What You Will Learn Position S/4HANA Asset Management within the overall Business Applications suite Explore essential functionalities for enterprise asset hierarchy mapping Efficiently map both unplanned and planned maintenance activities Seamlessly integrate asset management, finance, controlling, and budgeting Unleash reporting and analytics in Asset Management Configure Asset Management to meet your S/4HANA requirements Who This Book Is For Consultants, project managers, and SAP users who are looking for a complete reference guide on S/4HANA Asset Management.

"Cracking the Data Engineering Interview" is your essential guide to mastering the data engineering interview process. This book offers practical insights and techniques to build your resume, refine your skills in Python, SQL, data modeling, and ETL, and confidently tackle over 100 mock interview questions. Gain the knowledge and confidence to land your dream role in data engineering. What this Book will help me do Craft a compelling data engineering portfolio to stand out to employers. Refresh and deepen understanding of essential topics like Python, SQL, and ETL. Master over 100 interview questions that cover both technical and behavioral aspects. Understand data engineering concepts such as data modeling, security, and CI/CD. Develop negotiation, networking, and personal branding skills crucial for job applications. Author(s) None Bryan and None Ransome are seasoned authors with a wealth of experience in data engineering and professional development. Drawing from their extensive industry backgrounds, they provide actionable strategies for aspiring data engineers. Their approachable writing style and real-world insights make complex topics accessible to readers. Who is it for? This book is ideal for aspiring data engineers looking to navigate the job application process effectively. Readers should be familiar with data engineering fundamentals, including Python, SQL, cloud data platforms, and ETL processes. It's tailored for professionals aiming to enhance their portfolios, tackle challenging interviews, and boost their chances of landing a data engineering role.

The IBM® TS7700 features a functional enhancement that allows for the TS7700 to act as an object store for transparent cloud tiering with IBM DS8000®, DFSMShsm (HSM), and native DFSMSdss (DSS). This function can be used to move data sets directly from DS8000 to TS7700. This IBM Redpaper publication provides a functional overview of the features, provides client value information, and walks through DFSMS, DS8000, and TS7700 set up steps.

Transform enterprise Big Data into valuable assets with this comprehensive guide to data analysis, data engineering, algorithm design and data architecture.

Learn data engineering and modern data pipeline design with AWS in this comprehensive guide! You will explore key AWS services like S3, Glue, Redshift, and QuickSight to ingest, transform, and analyze data, and you'll gain hands-on experience creating robust, scalable solutions. What this Book will help me do Understand and implement data ingestion and transformation processes using AWS tools. Optimize data for analytics with advanced AWS-powered workflows. Build end-to-end modern data pipelines leveraging cutting-edge AWS technologies. Design data governance strategies using AWS services for security and compliance. Visualize data and extract insights using Amazon QuickSight and other tools. Author(s) Gareth Eagar is a Senior Data Architect with over 25 years of experience in designing and implementing data solutions across various industries. He combines his deep technical expertise with a passion for teaching, aiming to make complex concepts approachable for learners at all levels. Who is it for? This book is intended for current or aspiring data engineers, data architects, and analysts seeking to leverage AWS for data engineering. It suits beginners with a basic understanding of data concepts who want to gain practical experience as well as intermediate professionals aiming to expand into AWS-based systems.