Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries

Gustavo R Santos

In this information era, where large volumes of data are being generated every day, companies want to get a better grip on it to perform more efficiently than before. This is where skillful data analysts and data scientists come into play, wrangling and exploring data to generate valuable business insights. In order to do that, you’ll need plenty of tools that enable you to extract the most useful knowledge from data.Data Wrangling with R will help you to gain a deep understanding of ways to wrangle and prepare datasets for exploration, analysis, and modeling. This data book enables you to get your data ready for more optimized analyses, develop your first data model, and perform effective data visualization.The book begins by teaching you how to load and explore datasets. Then, you’ll get to grips with the modern concepts and tools of data wrangling. As data wrangling and visualization are intrinsically connected, you’ll go over best practices to plot data and extract insights from it. The chapters are designed in a way to help you learn all about modeling, as you will go through the construction of a data science project from end to end, and become familiar with the built-in RStudio, including an application built with Shiny dashboards.By the end of this book, you’ll have learned how to create your first data model and build an application with Shiny in R.

Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL

Raghav Kandarpa, Shivangi Saxena

The amount of data generated continues to grow rapidly, making it increasingly important for businesses to be able to wrangle this data and understand it quickly and efficiently. Although data wrangling can be challenging, with the right tools and techniques you can efficiently handle enormous amounts of unstructured data.The book starts by introducing you to the basics of SQL, focusing on the core principles and techniques of data wrangling. You’ll then explore advanced SQL concepts like aggregate functions, window functions, CTEs, and subqueries that are very popular in the business world. The next set of chapters will walk you through different functions within SQL query that cause delays in data transformation and help you figure out the difference between a good query and bad one. You’ll also learn how data wrangling and data science go hand in hand. The book is filled with datasets and practical examples to help you understand the concepts thoroughly, along with best practices to guide you at every stage of data wrangling.By the end of this book, you’ll be equipped with essential techniques and best practices for data wrangling, and will predominantly learn how to use clean and standardized data models to make informed decisions, helping businesses avoid costly mistakes.

Database Design and Modeling with Google Cloud. Learn database design and development to take your data to applications, analytics, and AI

Abirami Sukumaran, Priyanka Vergadia, Bagirathi Narayanan

In the age of lightning-speed delivery, customers want everything developed, built, and delivered at high speed and at scale. Knowledge, design, and choice of database is critical in that journey, but there is no one-size-fits-all solution. This book serves as a comprehensive and practical guide for data professionals who want to design and model their databases efficiently. The book begins by taking you through business, technical, and design considerations for databases. Next, it takes you on an immersive structured database deep dive for both transactional and analytical real-world use cases using Cloud SQL, Spanner, and BigQuery. As you progress, you’ll explore semi-structured and unstructured database considerations with practical applications using Firestore, cloud storage, and more. You’ll also find insights into operational considerations for databases and the database design journey for taking your data to AI with Vertex AI APIs and generative AI examples. By the end of this book, you will be well-versed in designing and modeling data and databases for your applications using Google Cloud.

Database Design and Modeling with PostgreSQL and MySQL. Build efficient and scalable databases for modern applications using open source databases

Alkin Tezuysal, Ibrar Ahmed, Peter Zaitsev

Database Design and Modeling with PostgreSQL and MySQL will equip you with the knowledge and skills you need to architect, build, and optimize efficient databases using two of the most popular open-source platforms.As you progress through the chapters, you'll gain a deep understanding of data modeling, normalization, and query optimization, supported by hands-on exercises and real-world case studies that will reinforce your learning. You'll explore topics like concurrency control, backup and recovery strategies, and seamless integration with web and mobile applications. These advanced topics will empower you to tackle complex database challenges confidently and effectively. Additionally, you’ll explore emerging trends, such as NoSQL databases and cloud-based solutions, ensuring you're well-versed in the latest developments shaping the database landscape. By embracing these cutting-edge technologies, you'll be prepared to adapt and innovate in today's ever-evolving digital world.By the end of this book, you’ll be able to understand the technologies that exist to design a modern and scalable database for developing web applications using MySQL and PostgreSQL open-source databases.

Database Security. Master the Art of Protecting Your Data with Cutting-Edge Techniques

Mercury Learning and Information, Christopher Diaz

This book provides a comprehensive guide to resolving database security issues during design, implementation, and production phases. It emphasizes specific measures and controls unique to database security, beyond general information security. Topics include account credential management, data access management, and techniques like database normalization, referential integrity, transactions, locks, and check constraints.The importance of database security lies in protecting sensitive data from unauthorized access and ensuring data integrity. This book is designed for professionals, workshops, and self-learners, offering hands-on demonstrations with major Database Management Systems (MySQL, Oracle, and Microsoft SQL Server) across various computing platforms (Linux/UNIX, MacOS, Windows).Starting with an introduction to information, data, and database security, the book covers database design, management, administration, user accounts, privileges, roles, and security controls for confidentiality. It also delves into transactions and data integrity with concurrent access. Each chapter includes questions and projects to reinforce learning and comprehension.

Databricks Certified Associate Developer for Apache Spark Using Python. The ultimate guide to getting certified in Apache Spark using practical examples with Python

Saba Shah, Rod Waltermann

Spark has become a de facto standard for big data processing. Migrating data processing to Spark saves resources, streamlines your business focus, and modernizes workloads, creating new business opportunities through Spark’s advanced capabilities. Written by a senior solutions architect at Databricks, with experience in leading data science and data engineering teams in Fortune 500s as well as startups, this book is your exhaustive guide to achieving the Databricks Certified Associate Developer for Apache Spark certification on your first attempt.You’ll explore the core components of Apache Spark, its architecture, and its optimization, while familiarizing yourself with the Spark DataFrame API and its components needed for data manipulation. You’ll also find out what Spark streaming is and why it’s important for modern data stacks, before learning about machine learning in Spark and its different use cases. What’s more, you’ll discover sample questions at the end of each section along with two mock exams to help you prepare for the certification exam.By the end of this book, you’ll know what to expect in the exam and gain enough understanding of Spark and its tools to pass the exam. You’ll also be able to apply this knowledge in a real-world setting and take your skillset to the next level.

Databricks ML in Action. Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment

Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, Hayley Horn

Discover what makes the Databricks Data Intelligence Platform the go-to choice for top-tier machine learning solutions. Written by a team of industry experts at Databricks with decades of combined experience in big data, machine learning, and data science, Databricks ML in Action presents cloud-agnostic, end-to-end examples with hands-on illustrations of executing data science, machine learning, and generative AI projects on the Databricks Platform.You’ll develop expertise in Databricks' managed MLflow, Vector Search, AutoML, Unity Catalog, and Model Serving as you learn to apply them practically in everyday workflows. This Databricks book not only offers detailed code explanations but also facilitates seamless code importation for practical use. You’ll discover how to leverage the open-source Databricks platform to enhance learning, boost skills, and elevate productivity with supplemental resources.By the end of this book, you'll have mastered the use of Databricks for data science, machine learning, and generative AI, enabling you to deliver outstanding data products.

Data-Centric Applications with Vaadin 8. Develop and maintain high-quality web applications using Vaadin

Alejandro Duarte

Vaadin is an open-source Java framework used to build modern user interfaces. Vaadin 8 simplifies application development and improves user experience. The book begins with an overview of the architecture of Vaadin applications and the way you can organize your code in modules.Then it moves to the more advanced topics about advanced topics such as internationalization, authentication, authorization, and database connectivity. The book also teaches you how to implement CRUD views, how to generate printable reports, and how to manage data with lazy loading.By the end of this book you will be able to architect, implement, and deploy stunning Vaadin applications, and have the knowledge to master web development with Vaadin.

Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data

Jonas Christensen, Nakul Bajaj, Manmohan Gosada, Kirk D. Borne

In the rapidly advancing data-driven world where data quality is pivotal to the success of machine learning and artificial intelligence projects, this critically timed guide provides a rare, end-to-end overview of data-centric machine learning (DCML), along with hands-on applications of technical and non-technical approaches to generating deeper and more accurate datasets.This book will help you understand what data-centric ML/AI is and how it can help you to realize the potential of ‘small data’. Delving into the building blocks of data-centric ML/AI, you’ll explore the human aspects of data labeling, tackle ambiguity in labeling, and understand the role of synthetic data. From strategies to improve data collection to techniques for refining and augmenting datasets, you’ll learn everything you need to elevate your data-centric practices. Through applied examples and insights for overcoming challenges, you’ll get a roadmap for implementing data-centric ML/AI in diverse applications in Python.By the end of this book, you’ll have developed a profound understanding of data-centric ML/AI and the proficiency to seamlessly integrate common data-centric approaches in the model development lifecycle to unlock the full potential of your machine learning projects by prioritizing data quality and reliability.

Datadog Cloud Monitoring Quick Start Guide. Proactively create dashboards, write scripts, manage alerts, and monitor containers using Datadog

Thomas Kurian Theakanath

Datadog is an essential cloud monitoring and operational analytics tool which enables the monitoring of servers, virtual machines, containers, databases, third-party tools, and application services. IT and DevOps teams can easily leverage Datadog to monitor infrastructure and cloud services, and this book will show you how.The book starts by describing basic monitoring concepts and types of monitoring that are rolled out in a large-scale IT production engineering environment. Moving on, the book covers how standard monitoring features are implemented on the Datadog platform and how they can be rolled out in a real-world production environment. As you advance, you'll discover how Datadog is integrated with popular software components that are used to build cloud platforms. The book also provides details on how to use monitoring standards such as Java Management Extensions (JMX) and StatsD to extend the Datadog platform. Finally, you'll get to grips with monitoring fundamentals, learn how monitoring can be rolled out using Datadog proactively, and find out how to extend and customize the Datadog platform.By the end of this Datadog book, you will have gained the skills needed to monitor your cloud infrastructure and the software applications running on it using Datadog.

Data-oriented Development with AngularJS

Manoj Waikar, Manoj M Waikar

Daughters of Destiny

L. Frank Baum

Danger, intrigue, and adventure await you in one of L. Frank Baums rarest works! Baum published the novel under the pen name Schuyler Staunton, one of his several pseudonyms (Baum arrived at the name by adding one letter to the name of his late maternal uncle, Schuyler Stanton). Daughters of Destiny unfolds in the Middle Eastern country of Baluchistan and is an exciting page-turner from start to finish. Conflict occurs when the American Construction Syndicate wants to build a railroad across a city in Pakistan, as part of their plans for global development. The company appoints a commission, headed by Colonel Piedmont Moore, to obtain the right of way from the Baluchi ruler. What follows is a complex but tightly-woven plot that involves subterfuge and conspiracy, poisonings and attempted assassinations, sword fights and a pursuit in the desert, a scheming femme fatale, disguises and false identities all the ingredients of melodrama.

Dave Dashaway, Air Champion. Or Wizard-Work in the Clouds

Roy Rockwood

Never was there a more clever young aviator than Dave Dashaway, and all up-to-date youths will be will surely wish to hear about about him. In this, the last volume of the Dave Dashaway adventure series, Dave, with the assistance of his loyal chum Hiram Dobbs, makes several daring trips, and then enters a contest for a big prize. They are preparing for a new aerial contest, but competition is fierce, and dirty! An old enemy lurks in the shadows, sending spies and saboteurs. An aviation tale thrilling in the extreme. Add some new friends and a diamond thief into the mix, and youre in for another exciting Dave Dashaway adventure! Written by Weldon J. Cobb under the Stratemeyer Syndicate pseudonym Roy Rockwood. A highly entertaining literature being written for young readers.

Dave Dashaway And His Giant Airship. Or a Marvellous Trip Across the Atlantic

Roy Rockwood

Roy Rockwood was a house pseudonym used for boys adventure books, including Bomba the Jungle Boy. The Dave Dashaway series focused on aerial adventures. Dave Dashaway continues to explore new horizons and to stay one step ahead of his nemesis! In Dave Dashaway and His Giant Airship or A Marvelous Trip Across the Atlantic Dave Dashaway is back, this time trying to beat Jerry Dawson in an airship race across the Atlantic Ocean, avoiding armed gunmen, fire, sharks, and all of the dangers of the open skies. From ghosts to stowaways, you wont want to stop until Daves feet are safely on solid ground. How the giant airship was constructed and how the daring young aviator and his friends made the hazardous journey through the clouds from the new world to the old, is told in a way to hold the reader spellbound.

Dave Dashaway and His Hydroplane. Or Daring Adventures over the Great Lakes

Roy Rockwood

Running an airship took nerve, steadiness of purpose, a definite, concrete way of looking at things. Dave knew in his own mind that the Drifter was each hour speeding farther and farther away from the haunts of men. He recalled the old adage, however, which says the more haste the less speed, and he determined to stick to the plan he had mentally outlined at the start. In Dave Dashaway and His Hydroplane, Dave is called in to assist in the recovery of a hydro-aeroplane, or as we would know it, a seaplane. Criminals have already figured out how to use this exciting new invention for evil, and Dave must nip it in the bud! This second volume of the series shows how Dave continued his career as a birdman and had many adventures over the Great Lakes, and how he foiled the plans of some Canadian smugglers.

Dave Dashaway around the World. Or a Young Yankee Aviator among Many Nations

Roy Rockwood

Weldon J. Cobb was a staff writer for the Stratemeyer Syndicate, a book packaging company that specialized in juvenile fiction. Under the pseudonym Roy Rockwood, Cobb authored the Dave Dashaway series of books that appeared between the years 1913 and 1915. In the tradition of the Bobbsey Twins and the Hardy Boys, Dave Dashaway continues to explore new horizons and to stay one step ahead of his nemesis! In this fourth volume of the series, Dave Dashaway and his friends are off on a race around the world. What heroic adventures will they find this time? An absorbing tale of a great air flight around the world, of adventures in Alaska, Siberia and elsewhere. A nostalgic picture of how the imaginations of children in the early twentieth century anticipated the accomplishments of the future.