Wydawca: 8
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.
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. Kurs video. Wstęp do architektury Data Lakehouse
Piotr Chudzik
Obierz kurs na... inżynierię danych Jeśli myślisz o karierze inżyniera danych, ale nie masz doświadczenia w pracy na tym stanowisku, to ten kurs jest dla Ciebie idealną propozycją. Inżynier danych dostarcza je innym zespołom w firmie – usługę tę świadczy głównie dla analityków danych i dla data scientist. Do głównych obowiązków inżyniera danych należy tworzenie procesów ETL i ELT, walidacja danych i przygotowywanie ich poprzez budowanie systemu pobierania (na przykład strumienie danych lub orkiestracja zadań). Jego pracę ułatwiają i usprawniają odpowiednie narzędzia. Takie jak platforma analityczna Databricks. Databricks stanowi jedno z najpopularniejszych rozwiązań służących przetwarzaniu, procesowaniu i analizie danych. Funkcjonuje ono, opierając się na własnym formacie danych, zwanym Delta. Specyfiką tej platformy jest to, że pozwala na tworzenie struktury danych podobnej do relacyjnych baz danych. Jeśli chcesz ją poznać i nauczysz się procesować w niej dane, zapraszamy na szkolenie. W jego trakcie omówimy podstawowe tematy związane z platformą Databricks – przede wszystkim kwestie dotyczące reguł pracy z notebookami i formatem Delta. Przyjrzysz się także kwestiom związanym z korzystaniem z innych modułów Databricks, takich jak SQL Warehouse, Workflows, czy zasadom tworzenia polityki klastra. Databricks. Kurs video. Wstęp do architektury Data Lakehouse kończy się na poziomie podstawowym. Wiedza zdobyta w trakcie szkolenia pozwala na postawienie pierwszych kroków na platformie Databricks. Nabyte informacje oczywiście można zastosować w praktyce – na przykład w celu przeniesienia swojej pracy w języku Python, Scala, SQL i Spark do środowiska Databricks.
Stephanie Rivera, Anastasia Prokaieva, Amanda Baker, Hayley...
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.
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.
Jonas Christensen, Nakul Bajaj, Manmohan Gosada, Kirk...
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.
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.
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.