Mostrando títulos en Ciencia de Datos

From technology, media, and retail to sport teams, government agencies, and financial institutions, learn the actual strategies and processes being used to learn about customers, improve manufacturing, spur innovation, improve safety, and so much more. Organized for easy dip-in navigation, each chapter follows the same structure to give you the information you need quickly. For each company profiled, learn what data was used, what problem it solved, and the processes put in place to make it practical, as well as the technical details, challenges, and lessons learned from each unique scenario.

The book teaches readers on Databricks Lakehouse, Delta Live table, Streaming, Workflow, Delta Lake using Databrick platform. The subsequent chapters discuss creating data pipelines utilizing the Databricks Lakehouse platform with data processing. The book teaches to leverage the Databricks Lakehouse platform to develop delta live tables, streamline ETL/ELT operations, orchestration, Data governance using unity catalog, Delta Lake optimization and Databricks Repo. What you will learn Develop end to end data pipeline using Databrick workflow. Data governance using Unity catalog. Delta lake ...

Dark Data explores the many ways in which we can be blind to missing data and how that can lead us to conclusions and actions that are mistaken, dangerous, or even disastrous. Examining a wealth of real-life examples, from the Challenger shuttle explosion to complex financial frauds, Hand gives us a practical taxonomy of the types of dark data that exist and the situations in which they can arise, so that we can learn to recognize and control for them.

Learning Snowflake equips individuals with expertise in a leading cloud-based data platform, enhancing their data management and analytics skills, which are highly sought after in today's data-driven job market. Find below the chapters of this ebook. 1. Introduction What is Snowflake? How Snowflake Differs 2. Getting Started Setting Up a Snowflake Account Basic Terminology Loading and Querying Data 3. Core Concepts Virtual Warehouses Storage Time Travel Data Sharing 4. Advanced Features Snowpipe Snowflake Pricing Table Types Roles and Users 5. Real-World Applications Building a Data ...

Do you want to learn how to build a pen test lab, but you don’t know where to start? Do you want a practical book that explains step by step how to get going? Do you want to become an ethical hacker or pen tester? If the answer is yes to the above questions, this audiobook is for you. Buy this audiobook now, and get started today!

Let the sun shine through! The cloud in data warehousing skies is finally clearing as Dr. Barry Devlin builds the architectural and systems foundations for data lakehouse, data fabric, and data mesh, as well as the base cloud data warehouse. The past five years has seen an explosion of innovation and new technical forms as cloud data warehousing has gone mainstream. But confusion has grown too. After all, the business needs are largely unchanged. So, why are there so many options and approaches? How do they differ? Which one may be the best choice? And why? In this first volume of a two-...

While the world is transfixed by bitcoin mania, your competitors are tuning out the noise and making strategic bets on blockchain. Your rivals are effortlessly tracking every last link in their supply chains. They're making bureaucratic paper trails obsolete while keeping their customers' data safer and discovering new ways to use this next foundational technology to sustain their competitive advantage.

Un científico de datos es alguien que sabe más de informática que un estadístico, y conoce más estadísticas que un científico de la computación. Si bien, en gran medida, esto es cierto, convertirse en un buen científico de datos requiere el dominio no solo de estas dos áreas clave, sino también de algunas teorías y modelos cruciales para este campo. El libro se recomienda a todos los lectores interesados ​​que aspiran a destacarse en el campo de la ciencia de datos.

The data lakehouse is the next generation of the data warehouse and data lake, designed to meet today’s complex and ever-changing modern information systems. This book shows you how to construct your data lakehouse as the foundation for your artificial intelligence (AI), machine learning (ML), and data mesh initiatives. Know the pitfalls and techniques for maximizing business value of your data lakehouse. In addition, be able to explain the core characteristics and critical success factors of a data lakehouse. By reviewing entry errors, key incompatibility, and ensuring good documentation...

Docker in Action teaches listeners how to create, deploy, and manage applications hosted in Docker containers. After starting with a clear explanation of the Docker model, you will learn how to package applications in containers, including techniques for testing and distributing applications. You will also learn how to run programs securely and how to manage shared resources. Using carefully designed examples, the book teaches you how to orchestrate containers and applications from installation to removal.

Data Lake Architecture will explain how to build a useful data lake where data scientists and data analysts can solve business challenges and identify new business opportunities. Learn how to structure data lakes as well as analog, application, and text-based data ponds to provide maximum business value. Understand the role of the raw data pond and when to use an archival data pond. Leverage the four key ingredients for data lake success: metadata, integration mapping, context, and metaprocess.

A team of dedicated tech executives delivers a business-focused approach based on a deep and engaging exploration of the models and data used in causal AI. The book’s discussions include both accessible and understandable technical detail and business context and concepts that frame causal AI in familiar business settings.

Data Science stands at the forefront of innovation in the tech industry, driving profound decisions and revolutionizing the way companies operate. "Ace the Data Science Interview" is your definitive guide to mastering the interview process at the most prestigious tech firms around the globe.

Radically improve the quality of your data visualizations by employing core principles of color, typography, chart types, data storytelling, and more. Everyday Data Visualization is a field guide for design techniques that will improve the charts, reports, and data dashboards you build every day. Everything you learn is tool-agnostic, with universal principles you can apply to any data stack.

Every company today relies on data, yet many leadership teams struggle to fully leverage data as an asset while avoiding ethics scandals that erode consumer trust. This indispensable guide provides executives and board members an actionable playbook to transform their organization into an ethical data leader poised for innovation and growth.

The use of analytics in sport is now well embedded. Marginal gains, the bedrock upon which the cycling coach Dave Brailsford built his greatest successes, are cornerstones of most sports nowadays. But, until recently, that did not apply to the biggest sport in the world. Not in soccer. It was as though this simplest of sports is too complicated for statistics. Or that only one statistic counts, the number of times the ball hits the back of the net. "The only statistic that counts", there’s an often used and annoying stock term.

The data vault methodology presents a unique opportunity to model the enterprise data warehouse using the same automation principles applicable in today’s software delivery, continuous integration, continuous delivery and continuous deployment while still maintaining the standards expected for governing a corporation’s most valuable asset: data. This book provides at first the landscape of a modern architecture and then as a thorough guide on how to deliver a data model that flexes as the enterprise flexes, the data vault. Whether the data is structured, semi-structured or even ...

Dive into the fascinating world of radio frequencies with Mastering Radio Frequencies, your essential guide to understanding, harnessing, and utilizing the power of the RF spectrum. This comprehensive eBook offers a deep exploration into the realms of HF, VHF, and UHF bands, explaining their unique characteristics, applications, and the technology behind them. Start your journey with a solid foundation in Chapter 1, where you'll unravel the complexities of the radio frequency spectrum. Discover why frequency matters and how it shapes communication as we know it. Progress to Chapters 2 ...

Meet the Generation Born in the Age of Artificial Intelligence… The Children of the Future Are Here! Born between 2013 and 2029, Generation AI (Gen AI) stands at the forefront of a world seamlessly interwoven with artificial intelligence. They're not just tech-savvy, they embody technology, effortlessly navigating a reality where AI enhances every aspect of their daily lives. In GEN AI - The Next Generation, you'll explore: How Gen AI is redefining digital fluency, mastering technology as intuitively as previous generations mastered reading and writing. AI's profound impact on education, ...

In this book, Michael Smith and Rahul Telang, experts on entertainment analytics, show how the success of House of Cards upended the film and TV industries - and how companies like Amazon and Apple are changing the rules in other entertainment industries, notably publishing and music. We're living through a period of unprecedented technological disruption in the entertainment industries.