Showing titles in Data Science

Data science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering, and clearly explains how to apply the best practices from software engineering to data science.

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 these architectures to help data professionals understand the pros and cons of each.

Cómo tomar decisiones estratégicas a partir de la analítica de datos. "¿Cuál es la función de los datos, entonces, y de su análisis profundo y racional antes de tomar una decisión en una empresa o en una organización?... ¿Quiénes toman las decisiones en una empresa? ¿Qué decisiones toman?", se pregunta el autor de este libro que invita a líderes de equipos de trabajo a pensar en un término muy presente hoy: la data. Y, sobre todo, qué hacer con ella.

If you are a budding analyst or want to freshen up on your concepts, this book is for you. It has all the basic information you need to help you become a data analyst or scientist.

Data science is one of the most popular, lucrative and highly desirable skill set out there. Learning it—and mastering the craft—is a walk in the park when you have the right guidance.

Data is the new oil. Data is essential for companies to predict trends, identify opportunities and be two steps ahead of the competition by providing them with important insights before they happen. But all this data would render useless without something called data visualization, the ability to turn raw information into meaningful insights. Mastering this skill will undoubtedly lead to better and faster business decisions.

Wireless connectivity is an amazing and empowering technology. It allows people to access data and be in touch with others in a way which was impossible until recently. Whether we are are accomplishing financial transactions, reading books, listening to podcasts, or listing merchandise for e-commerce, wireless connectivity is a critical link in nearly all of our usage of the internet.

This book identifies the seven key emerging Internet-related technologies: Internet of things, smart everything, big data, cloud computing, cybersecurity, software-defined networking, and online education. This book provides an introduction, applications, benefits, and challenges for each technology.

If you need to learn Spring, look no further than this widely beloved and comprehensive guide! Fully revised for Spring 5.3, and packed with interesting real-world examples to get your hands dirty with Spring. Over the years, Spring in Action has helped tens of thousands of developers get a major productivity boost from Spring. This new edition of the classic best seller covers all of the new features of Spring 5.3 and Spring Boot 2.4 along with examples of reactive programming, Spring Security for REST Services, and bringing reactivity to your databases.

"#Datastories - Seguire le impronte umane sul digitale” è un saggio che indaga sul significato nascosto degli small data che quotidianamente seminiamo in Rete attraverso i nostri tablet e smartphone. Si tratta delle impronte che lasciamo ogni giorno sui nostri dispositivi, quando digitiamo chiavi di ricerca sul web, mandiamo cuoricini sui social e facciamo swipe sulle app. Dati minuscoli, che possono rivelare i nostri comportamenti, le scelte di consumo, i codici linguistici, le nostre tensioni culturali.

A successful pipeline moves data efficiently, minimizing pauses and blockages between tasks, and keeping processes along the way operational. Apache Airflow provides a single customizable environment for building and managing data pipelines, eliminating the need for a hodgepodge collection of tools, snowflake code, and homegrown processes. Using real-world scenarios and examples, this book teaches you how to simplify and automate data pipelines, reduce operational overhead, and smoothly integrate all the technologies in your stack.

Journalists today are inundated with data about which stories attract the most clicks, likes, comments, and shares. These metrics influence what stories are written, how news is promoted, and even which journalists get hired and fired. Do metrics make journalists more accountable to the public? Or are these data tools the contemporary equivalent of a stopwatch wielded by a factory boss, worsening newsroom working conditions and journalism quality?

Descubra métodos y estrategias avanzadas para aprender ciencia de datos paraempresas. Las oportunidades que ofrece el big data son enormes; deje que este libro le ayude a aprovechar esas oportunidades. Ahora es el momento de comenzar a recopilar información esencial, hacer predicciones racionales y obtener una ventaja competitiva sobre otras empresas utilizando la amplia gama de datos disponibles en línea.

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 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.

Amazon Web Services is known to be a subsidiary under Amazon which has so far provided individuals, companies or even governments with platforms for on-demand cloud computing on a metered pay as you go basis. In total, these services about cloud computing provide some sort of primitive technical infrastructure that are technical and also distributed computing building blocks as well as tools.

This book explores how decision-making is changing in the digital economy. The role of data and intuition will continue to rebalance as analytics take on a more significant role in how companies develop and execute strategy. Case studies explore best-in-class organizations from various sectors including pro sports, media, and finance.

Muchos acontecimientos del pasado han demostrado que disponer de la información adecuada y saber interpretarla a tiempo supone la diferencia entre el éxito y el fracaso en campos tan diversos como el de la agricultura o el de los negocios. La ciencia de datos es hoy una realidad en pleno desarrollo, en la que la visualización de la información resulta clave para extraer el máximo conocimiento y adoptar las mejores decisiones.

En un día promedio de principios del siglo xxi, los seres humanos que buscan en Internet acumulan ocho billones de gigabytes de datos. Esta asombrosa cantidad de información puede decirnos mucho sobre quiénes somos, los miedos, deseos y comportamientos que nos impulsan y las decisiones conscientes e inconscientes que tomamos. De lo profundo a lo mundano, podemos obtener un asombroso conocimiento sobre la psique humana que hace menos de veinte años parecía insondable.

A guide of python cyber.