Natural Language Processing with Java. Explore various approaches to organize and extract useful text from unstructured data using Java

Richard M. Reese

Data Engineering with Alteryx. Helping data engineers apply DataOps practices with Alteryx

Paul Houghton

Alteryx is a GUI-based development platform for data analytic applications.Data Engineering with Alteryx will help you leverage Alteryx’s code-free aspects which increase development speed while still enabling you to make the most of the code-based skills you have.This book will teach you the principles of DataOps and how they can be used with the Alteryx software stack. You’ll build data pipelines with Alteryx Designer and incorporate the error handling and data validation needed for reliable datasets. Next, you’ll take the data pipeline from raw data, transform it into a robust dataset, and publish it to Alteryx Server following a continuous integration process.By the end of this Alteryx book, you’ll be able to build systems for validating datasets, monitoring workflow performance, managing access, and promoting the use of your data sources.

Developing Multi-Platform Apps with Visual Studio Code. Get up and running with VS Code by building multi-platform, cloud-native, and microservices-based apps

Ovais Mehboob Ahmed Khan, Khusro Habib, Chris Dias

Microsoft Visual Studio Code is a powerful, lightweight code editor for modern web and cloud development. It is a source code editor that can be used with a variety of programming languages, which works on multiple platforms such as Linux, Windows, and macOS. This book provides extensive coverage of the tools, functionalities, and extensions available within the VS Code environment that will help you build multi-platform apps with ease.You’ll start with the installation of VS Code and learn about various tools and features that are essential for development. Progressing through the chapters, you'll explore the user interface while understanding tips and tricks for increasing productivity. Next, you’ll delve into VS Code extensions and discover how they can make life easier for developers. Later, the book shows you how to develop a sample application with different programming languages, tools, and runtimes to display how VS code can be used effectively for development, before helping you get to grips with source code version management and deployment on Azure with VS Code. Finally, you’ll build on your skills by focusing on remote development with VS Code.By the end of this book, you’ll have the knowledge you need to use Visual Studio Code as your primary tool for software development.

Nginx HTTP Server. Harness the power of Nginx to make the most of your infrastructure and serve pages faster than ever

Clement Nedelcu

Nginx is a lightweight HTTP server designed for high-traffic websites, with network scalability as the primary objective. With the advent of high speed Internet access, short loading times and fast transfer rates have become a necessity. This free, open source solution will either come as a full replacement of other software such as Apache, or stand in front of your existing infrastructure to improve its overall speed.This book is a detailed guide to setting up Nginx in different ways that correspond to actual production situations: as a standalone server, as a reverse proxy, interacting with applications via FastCGI, and more. In addition, this complete directive reference will be your best friend at all stages of the configuration and maintenance processes.This book is the perfect companion for both Nginx beginners and experienced administrators. For beginners, it will take you through the complete process of setting up this lightweight HTTP server on your system and configuring its various modules so it does exactly what you need quickly and securely. For more experienced administrators, this book provides different approaches that can help you make the most of your current infrastructure. Nginx can be employed in many situations, whether you are looking to construct an entirely new web-serving architecture or simply want to integrate an efficient tool to optimize your site loading speeds.

OpenStack Trove Essentials. Build your own cloud based Database as a Service using OpenStack Trove

Alok Shrivastwa, Sunil Sarat, Doug Shelley, Amrith Kumar

OpenStack has become an extremely popular solution to build public and private clouds with. Database as a Service (DBaaS) enables the delivery of more agile database services at lower costs. Some other benefits of DBaaS are secure database deployments and compliance to standards and best practices. Trove is a DBaaS built on OpenStack and is becoming more popular by the day.Since Trove is one of the most recent projects of OpenStack, DBAs and system administrators can find it difficult to set up and run a DBaaS using OpenStack Trove. This book helps DBAs make that step. We start by introducing you to the concepts of DBaaS and how is it implemented using OpenStack Trove. Following this, we look at implementing OpenStack and deploying Trove. Moving on, you will learn to create guest images to be used with Trove. We then look at how to provision databases in self-service mode, and how to perform administration tasks such as backup and recovery, and fine-tuning databases. At the end of the book, we will examine some advanced features of Trove such as replication.

Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals

Jane Sarah Lat

Data integrity management plays a critical role in the success and effectiveness of organizations trying to use financial and operational data to make business decisions. Unfortunately, there is a big gap between the analysis and management of finance data along with the proper implementation of complex data systems across various organizations.The first part of this book covers the important concepts for data quality and data integrity relevant to finance, data, and tech professionals. The second part then focuses on having you use several data tools and platforms to manage and resolve data integrity issues on financial data. The last part of this the book covers intermediate and advanced solutions, including managed cloud-based ledger databases, database locks, and artificial intelligence, to manage the integrity of financial data in systems and databases.After finishing this hands-on book, you will be able to solve various data integrity issues experienced by organizations globally.

Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio

Kedeisha Bryan, Taamir Ransome

Preparing for a data engineering interview can often get overwhelming due to the abundance of tools and technologies, leaving you struggling to prioritize which ones to focus on. This hands-on guide provides you with the essential foundational and advanced knowledge needed to simplify your learning journey.The book begins by helping you gain a clear understanding of the nature of data engineering and how it differs from organization to organization. As you progress through the chapters, you’ll receive expert advice, practical tips, and real-world insights on everything from creating a resume and cover letter to networking and negotiating your salary. The chapters also offer refresher training on data engineering essentials, including data modeling, database architecture, ETL processes, data warehousing, cloud computing, big data, and machine learning. As you advance, you’ll gain a holistic view by exploring continuous integration/continuous development (CI/CD), data security, and privacy. Finally, the book will help you practice case studies, mock interviews, as well as behavioral questions.By the end of this book, you will have a clear understanding of what is required to succeed in an interview for a data engineering role.

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.