Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake

Pulkit Chadha

Written by a Senior Solutions Architect at Databricks, Data Engineering with Databricks Cookbook will show you how to effectively use Apache Spark, Delta Lake, and Databricks for data engineering, starting with comprehensive introduction to data ingestion and loading with Apache Spark.What makes this book unique is its recipe-based approach, which will help you put your knowledge to use straight away and tackle common problems. You’ll be introduced to various data manipulation and data transformation solutions that can be applied to data, find out how to manage and optimize Delta tables, and get to grips with ingesting and processing streaming data. The book will also show you how to improve the performance problems of Apache Spark apps and Delta Lake. Advanced recipes later in the book will teach you how to use Databricks to implement DataOps and DevOps practices, as well as how to orchestrate and schedule data pipelines using Databricks Workflows. You’ll also go through the full process of setup and configuration of the Unity Catalog for data governance.By the end of this book, you’ll be well-versed in building reliable and scalable data pipelines using modern data engineering technologies.

Bootstrap 4 Site Blueprints. Design mobile-first responsive websites with Bootstrap 4 - Second Edition

Bass Jobsen, Ian Whitney, David Cochran

Packed with trade secrets, this second edition is your one-stop solution to creating websites that will provide the best experience for your users. We cover six popular, real-world examples, where each project teaches you about the various functionalities of Bootstrap 4 and their implementation.The book starts off by getting you up and running with the new features of Bootstrap 4 before gradually moving on to customizing your blog with Bootstrap and SASS, building a portfolio site, and turning it into a WordPress theme. In the process, you will learn to recompile Bootstrap files using SASS, design a user interface, and integrate JavaScript plugins. Towards the end of the book, you will also be introduced to integrating Bootstrap 4 with popular application frameworks such as Angular 2, Ruby on Rails, and React.

Architecting Salesforce Success. Quick tips to help you kickstart your career as a Salesforce Architect

Amit Chaudhary

Salesforce stands as a leading cloud-based customer relationship management (CRM) platform with extensive support for businesses in managing their sales, marketing, customer service, and other critical activities. Becoming a Salesforce Architect opens doors to lucrative career opportunities in a thriving industry, given the high demand for skilled professionals.This guide offers expert insights and best practices for developers who want to ascend the Salesforce ladder, technical leads honing their prowess in Salesforce, and enthusiasts exploring the dynamic world of Salesforce architecture. Whether you’re seeking a roadmap to success as a Salesforce Architect or want to enhance your skills, this concise yet insightful report ensures your growth in the vibrant Salesforce community.This guide will help you change your mindset from developer to architect, highlighting key considerations when designing a solution for clients. By the end of this book, you’ll have gained a comprehensive understanding of the role of a Salesforce Architect and the prerequisites and essential soft skills necessary for success within the Salesforce ecosystem.

Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python

Sebastian Raschka, Yuxi (Hayden) Liu, Vahid Mirjalili, Dmytro Dzhulgakov

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial and a reference you'll keep coming back to as you build your machine learning systems.Packed with clear explanations, visualizations, and examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach the principles allowing you to build models and applications for yourself.Why PyTorch?PyTorch is the Pythonic way to learn machine learning, making it easier to learn and simpler to code with. This book explains the essential parts of PyTorch and how to create models using popular libraries, such as PyTorch Lightning and PyTorch Geometric.You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is expanded to cover the latest trends in deep learning, including graph neural networks and large-scale transformers used for natural language processing (NLP).This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.

Mastering PostgreSQL 13. Build, administer, and maintain database applications efficiently with PostgreSQL 13 - Fourth Edition

Hans-Jürgen Schönig

Thanks to its reliability, robustness, and high performance, PostgreSQL has become one of the most advanced open source databases on the market. This updated fourth edition will help you understand PostgreSQL administration and how to build dynamic database solutions for enterprise apps with the latest release of PostgreSQL, including designing both physical and technical aspects of the system architecture with ease.Starting with an introduction to the new features in PostgreSQL 13, this book will guide you in building efficient and fault-tolerant PostgreSQL apps. You’ll explore advanced PostgreSQL features, such as logical replication, database clusters, performance tuning, advanced indexing, monitoring, and user management, to manage and maintain your database. You’ll then work with the PostgreSQL optimizer, configure PostgreSQL for high speed, and move from Oracle to PostgreSQL. The book also covers transactions, locking, and indexes, and shows you how to improve performance with query optimization. You’ll also focus on how to manage network security and work with backups and replication while exploring useful PostgreSQL extensions that optimize the performance of large databases.By the end of this PostgreSQL book, you’ll be able to get the most out of your database by executing advanced administrative tasks.

Data Analytics for Marketing. A practical guide to analyzing marketing data using Python

Guilherme Diaz-Bérrio

Most marketing professionals are familiar with various sources of customer data that promise insights for success. There are extensive sources of data, from customer surveys to digital marketing data. Moreover, there is an increasing variety of tools and techniques to shape data, from small to big data. However, having the right knowledge and understanding the context of how to use data and tools is crucial.In this book, you’ll learn how to give context to your data and turn it into useful information. You’ll understand how and where to use a tool or dataset for a specific question, exploring the what and why questions to provide real value to your stakeholders. Using Python, this book will delve into the basics of analytics and causal inference. Then, you’ll focus on visualization and presentation, followed by understanding guidelines on how to present and condense large amounts of information into KPIs. After learning how to plan ahead and forecast, you’ll delve into customer analytics and insights. Finally, you’ll measure the effectiveness of your marketing efforts and derive insights for data-driven decision-making.By the end of this book, you’ll understand the tools you need to use on specific datasets to provide context and shape your data, as well as to gain information to boost your marketing efforts.

Learning ArcGIS for Desktop. Create, analyze, and map your spatial data with ArcGIS for Desktop

Daniela C Docan

ArcGIS for Desktop is one of the main components of the ESRI ArcGIS platform used to support decision making and solve real-world mapping problems. Learning ArcGIS for Desktop is a tutorial-based guide that provides a practical experience for those who are interested in start working with ArcGIS. The first five chapters cover the basic concepts of working with the File Geodatabase, as well as editing and symbolizing geospatial data. Then, the book focuses on planning and performing spatial analysis on vector and raster data using the geoprocessing and modeling tools. Finally, the basic principles of cartography design will be used to create a quality map that presents the information that resulted from the spatial analysis previously performed. To keep you learning throughout the chapters, all exercises have partial and final results stored in the dataset that accompanies the book. Finally, the book offers more than it promises by using the ArcGIS Online component in the tutorials as source of background data and for results sharing

Jira Quick Start Guide. Manage your projects efficiently using the all-new Jira

Ravi Sagar

Jira is an issue tracker and project management system. With their latest release, the Jira team has now expanded their user base to agile teams as well as business teams. This book provides a comprehensive explanation covering all major components of Jira, including Jira Software, Jira Core, and Jira Service Desk.This book starts with an introduction to Jira's unique features and how it can be used as an issue-tracking tool. It will then teach you about how a new project is created by a Jira administrator, what responsibilities there are, and using correct and relevant schemes in your project. You will then learn how to configure project workflows and fields for project screens.You will understand the various permissions used in projects and the importance of project roles in Jira. Then, the book talks about the concepts of versions acting as milestones and using components when handling issues in your projects. It will then focus on analysing data using built-in reports and creating dashboards in Jira. At the end, it will discuss various best practices for users as well as project managers or project administrators.