Название: Driving Data Projects: A comprehensive guide
Автор: Сhristinе Наskеll
Издательство: BCS, The Chartered Institute for IT
Год: 2024
Страниц: 507
Язык: английский
Формат: epub
Размер: 107.1 MB

Digital transformation and data projects are not new and yet, for many, they are a challenge. Driving Data Projects is a compelling guide that empowers data teams and professionals to navigate the complexities of data projects, fostering a more data-informed culture within their organizations. With practical insights and step-by-step methodologies, this guide provides a clear path how to drive data projects effectively in any organization, regardless of its sector or maturity level whilst also demonstrating how to overcome the overwhelming feelings of where to start and how to not lose momentum. This book offers the keys to identifying opportunities for driving data projects and how to overcome challenges to drive successful data initiatives. Driving Data Projects is highly practical and provides reflections, worksheets, checklists, activities, and tools making it accessible to students new to driving data projects and culture change. This book is also a must-have guide for data teams and professionals committed to unleashing the transformative power of data in their organizations.

Название: Ultimate Data Engineering with Databricks: Develop Scalable Data Pipelines Using Data Engineering's Core Tenets Such as Delta Tables, Ingestion, Transformation, Security, and Scalability
Автор: Мауаnk Маlhоtrа
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 243
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

Navigating Databricks with Ease for Unparalleled Data Engineering Insights. Ultimate Data Engineering with Databricks is a comprehensive handbook meticulously designed for professionals aiming to enhance their data engineering skills through Databricks. Bridging the gap between foundational and advanced knowledge, this book employs a step-by-step approach with detailed explanations suitable for beginners and experienced practitioners alike. Focused on practical applications, the book employs real-world examples and scenarios to teach how to construct, optimize, and maintain robust data pipelines. Emphasizing immediate applicability, it equips readers to address real data challenges using Databricks effectively. The goal is not just understanding Databricks but mastering it to offer tangible solutions. Beyond technical skills, the book imparts best practices and expert tips derived from industry experience, aiding readers in avoiding common pitfalls and adopting strategies for optimal data engineering solutions.

Название: Deciphering Data Architectures: Choosing Between a Modern Data Warehouse, Data Fabric, Data Lakehouse, and Data Mesh
Автор: Jаmеs Sеrrа
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 278
Язык: английский
Формат: pdf (true), epub (true)
Размер: 12.7 MB

Data fabric, data lakehouse, and data mesh have recently appeared as viable alternatives to the modern data warehouse. These new architectures have solid benefits, but they're also surrounded by a lot of hyperbole and confusion. This practical book provides a guided tour of each architecture to help data professionals understand its pros and cons. In the process, James Serra, Big Data and data warehousing solution architect at Microsoft, examines common data architecture concepts, including how data warehouses have had to evolve to work with data lake features. You'll learn what data lakehouses can help you achieve, and how to distinguish data mesh hype from reality. Best of all, you'll be able to determine the most appropriate data architecture for your needs. I have written this book for anyone with an interest in getting value out of data, whether you’re a database developer or administrator, a data architect, a CTO or CIO, or even someone in a role outside of IT. You could be early in your career or a seasoned veteran. The only skills you need are a little familiarity with data from your work and a sense of curiosity.

Название: Head First SQL: A Learner's Guide to Querying and Managing Data, 2nd Edition (Early Release)
Автор: Кimbеrlу Fеssеl
Издательство: O’Reilly Media, Inc.
Год: 2024-02-13
Страниц: 700
Язык: английский
Формат: epub (true)
Размер: 12.7 MB

What will you learn from this book? Do you have an abundance of data but don't know how to make sense of it? Do you want to gain useful insights from your data, but you're not sure where to begin? Mining data is a vital, well-paying skill, and SQL provides the most fundamental way to query and manage data. But learning SQL can be intimidating. This thoroughly revised book teaches you SQL fundamentals in a painless and enjoyable manner. With the Head First series' hands-on, conversational style, you'll quickly grasp SQL concepts, then move to intermediate topics, including stored procedures and cloud databases. You'll gain the knowledge, skills, and confidence necessary to get the most out of your data with SQL. Why does this book look so different? If you've read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. With this book, you'll learn about SQL through a multisensory experience that engages your mind—rather than a text-heavy approach that puts you to sleep.

Название: Database and Application Security: A Practitioner's Guide (Early Release)
Автор: R. Sаrmа Dаnturthi
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 309
Язык: английский
Формат: epub (true)
Размер: 25.4 MB

An all-encompassing guide to securing your database and applications against costly cyberattacks! In a time when the average cyberattack costs a company $9.48 million, organizations are desperate for qualified database administrators and software professionals. Hackers are more innovative than ever before. Increased cybercrime means front-end applications and back-end databases must be finetuned for a strong security posture. Database and Application Security: A Practitioner's Guide is the resource you need to better fight cybercrime and become more marketable in an IT environment that is short on skilled cybersecurity professionals. In this extensive and accessible guide, Dr. R. Sarma Danturthi provides a solutions-based approach to help you master the tools, processes, and methodologies to establish security inside application and database environments. It discusses the STIG requirements for third-party applications and how to make sure these applications comply to an organizations security posture. From securing hosts and creating firewall rules to complying with increasingly tight regulatory requirements, this book will be your go-to resource to creating an ironclad cybersecurity database.

Название: The Essential Criteria of Graph Databases
Автор: Riсkу Sun
Издательство: Elsevier/China Machine Press
Год: 2024
Страниц: 398
Язык: английский
Формат: pdf (true)
Размер: 35.5 MB

Although AI has incredible potential, it has three weak links: 1. Blackbox, lack of explainability, 2. Silos, slews of siloed systems across the AI ecosystem, 3. Low-performance, most of ML/DL based AI systems are SLOW. Fixing these problems will pave the road to strong and effective AI. Graph databases, particularly high-performance graph database or graph computing, should allow this to happen. The Essential Criteria of Graph Databases simply broadens the horizon of graph applications. The book collects several truly innovative graph applications in asset-liability and liquidity risk management, which hopefully will spark readers’ interest in further broaden the reach and applicable domains of graph systems. Graph database technology is the only way and important tool for Artificial Intelligence (AI) to move toward Artificial General Intelligence (AGI). Because the graph database (including knowledge graph) restores (simulates) human thinking and way of thinking to the greatest extent.

Название: Big Data Management and Analytics
Автор: Вrij В Guрtа and Маmtа
Издательство: World Scientific Publishing
Год: 2024
Страниц: 288
Язык: английский
Формат: pdf (true)
Размер: 19.6 MB

With the proliferation of information, Big Data management and analysis have become an indispensable part of any system to handle such amounts of data. The amount of data generated by the multitude of interconnected devices increases exponentially, making the storage and processing of these data a real challenge. Big Data management and analytics have gained momentum in almost every industry, ranging from finance or healthcare. Big Data can reveal key insights if handled and analyzed properly; it has great application potential to improve the working of any industry. This book covers the spectrum aspects of Big Data; from the preliminary level to specific case studies. It will help readers gain knowledge of the Big Data landscape.Highlights of the topics covered include description of the Big Data ecosystem; real-world instances of Big Data issues; how the Vs of Big Data (volume, velocity, variety, veracity, valence, and value) affect data collection, monitoring, storage, analysis, and reporting; structural process to get value out of Big Data and recognize the differences between a standard database management system and a Big Data management system. Readers will gain insights into choice of data models, data extraction, data integration to solve large data problems, data modelling using Machine Learning techniques, Spark's scalable Machine Learning techniques, modeling a Big Data problem into a graph database and performing scalable analytical operations over the graph and different tools and techniques for processing Big Data and its applications including in healthcare and finance.

Название: Data Analytics with SAS: Explore your data and get actionable insights with the power of SAS
Автор: Nishаnt Sidаnа
Издательство: BPB Publications
Год: 2024
Страниц: 312
Язык: английский
Формат: epub (true)
Размер: 23.3 MB

Analytics made easy with Base and Advance SAS. Data Analytics with SAS is an attempt to learn concepts of Data Analytics with SAS tool. Starting with the fundamentals, the book introduces you to SAS by explaining its architecture, components, libraries and graphical user interface. It then delves into abilities like manipulating and exploring data, where both basic and advanced techniques are covered. The book outlines concepts and functions for data manipulation. Data manipulation is important as without it, we cannot define data in a proper format. Moreover, data without a proper format and features cannot be used for further analysis. The book outlines concepts and functions of data exploration. Data exploration or Exploratory Data Analysis (EDA) is the first step in data analysis. It is a very critical step as it helps us get insights from data to understand past behaviors. To facilitate a practical learning experience with SAS, the book offers examples and code snippets. In conclusion, this comprehensive guidebook serves as a valuable resource for individuals interested in data analytics using SAS. It caters to both novices and seasoned users alike while preparing them for roles, within the field of Data Analytics.

Название: Database Fundamentals
Автор: Тhеорhilus Еdеt
Издательство: CompreQuest Books
Серия: Mastering Database Management Series
Год: 2023
Страниц: 285
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.0 MB

Are you ready to unlock the power of data? In today's data-driven world, understanding databases is not just a valuable skill; it's a necessity. Whether you're a budding data professional, a tech enthusiast, or a business owner, "Database Fundamentals" is your comprehensive guide to mastering the art of data management. Dive deep into the world of databases as you explore their essential concepts, applications, and real-world use cases. From the foundations of data organization to the complexities of advanced SQL queries, this book takes you on a journey to become a database expert. Databases are the backbone of information systems, and proficiency in this field is highly sought after. Our goal is to demystify the complex world of data management and provide you with the tools and knowledge needed to excel. Starting with the basics, this book will take you on a journey through the essential components of databases. You will learn how to design, create, and manage databases using popular database management systems. You will discover the power of SQL, the universal language for interacting with databases, and gain hands-on experience with real-world examples. As you progress, you'll delve into advanced topics such as database optimization, security, and compliance. You'll explore NoSQL databases, cloud databases, and emerging technologies, ensuring that you are well-prepared for the dynamic landscape of modern data management.

Название: PostgreSQL Query Optimization: The Ultimate Guide to Building Efficient Queries, 2nd Edition
Автор: Неnriеttа Dоmbrоvskауа, Воris Nоvikоv, Аnnа Ваilliеkоvа
Издательство: Apress
Год: 2024
Страниц: 583
Язык: английский
Формат: pdf
Размер: 13.5 MB

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.