Business Intelligence with Looker Cookbook. Create BI solutions and data applications to explore and share insights in real time

Khrystyna Grynko

Looker is a data analytics and business intelligence platform that allows organizations to explore, analyze, and visualize their data. It provides tools for data modeling, exploration, and visualization, enabling you to gain insights from your data to make informed business decisions.You’ll start with the basics, from setting up your Looker environments to configuring views and models using LookML. As you progress, you’ll delve into more advanced topics, such as navigating data in Explore, tailoring dashboards to your needs, and adding dynamic elements for interactivity. Along the way, you'll gain invaluable troubleshooting skills to tackle common issues and optimize your Looker usage, ensuring a smooth and seamless experience. Furthermore, the book extends your understanding beyond the basics, equipping you with the knowledge you need to develop Looker applications and seamlessly integrate them with other tools and applications. You'll also explore advanced techniques for harnessing Looker's full potential, empowering you to establish data-driven decision-making and innovation within your organization.By the end of this BI book, you'll have gained a solid understanding of how to use Looker to find important information, make tasks easier, and derive important insights.

CompTIA Security+ Practice Tests SY0-501. Practice tests in 4 different formats and 6 cheat sheets to help you pass the CompTIA Security+ exam

Ian Neil

CompTIA Security+ is a core security certification that will validate your baseline skills for a career in cybersecurity. Passing this exam will not only help you identify security incidents but will also equip you to resolve them efficiently. This book builds on the popular CompTIA Security+ Certification Guide, which mirrors the SY0-501 exam pattern.This practice test-based guide covers all six domains of the Security+ SY0-501 exam: threats, attacks, and vulnerabilities; technologies and tools; architecture and design; identity and access management; cryptography and PKI; and risk management. You’ll take six mock tests designed as per the official Security+ certification exam pattern, each covering significant aspects from an examination point of view. For each domain, the book provides a dedicated cheat sheet that includes important concepts covered in the test. You can even time your tests to simulate the actual exam. These tests will help you identify gaps in your knowledge and discover answers to tricky exam questions.By the end of this book, you’ll have developed and enhanced the skills necessary to pass the official CompTIA Security+ exam.

NumPy Beginner's Guide. An action packed guide using real world examples of the easy to use, high performance, free open source NumPy mathematical library. - Second Edition

Ivan Idris

NumPy is an extension to, and the fundamental package for scientific computing with Python. In today's world of science and technology, it is all about speed and flexibility. When it comes to scientific computing, NumPy is on the top of the list.NumPy Beginner's Guide will teach you about NumPy, a leading scientific computing library. NumPy replaces a lot of the functionality of Matlab and Mathematica, but in contrast to those products, is free and open source.Write readable, efficient, and fast code, which is as close to the language of mathematics as is currently possible with the cutting edge open source NumPy software library. Learn all the ins and outs of NumPy that requires you to know basic Python only. Save thousands of dollars on expensive software, while keeping all the flexibility and power of your favourite programming language.You will learn about installing and using NumPy and related concepts. At the end of the book we will explore some related scientific computing projects. This book will give you a solid foundation in NumPy arrays and universal functions. Through examples, you will also learn about plotting with Matplotlib and the related SciPy project. NumPy Beginner's Guide will help you be productive with NumPy and have you writing clean and fast code in no time at all.

Enterprise LMS with Adobe Learning Manager. Design and develop world-class learning experiences for your employees, partners, and customers

Damien Bruyndonckx, Sean Mullen

Looking to deliver scalable online learning solutions? Adobe's latest enterprise Learning Manager is a powerful learning management system (LMS) that enables organizations to deliver, manage, and track immersive learning experiences. This book unlocks the full potential of Learning Manager, guiding you to become an adept administrator, author, or teacher, experimenting with Learning Manager from different perspectives.You'll gain an in-depth understanding of the features and their impact on your business. From platform setup to course administration, you’ll be able to create blended learning experiences, deploy your content to different devices, and explore Learning Manager's features for monitoring your students' progress on a daily basis. Finally, you'll discover techniques for organizing and maintaining your course catalog while elevating the learner experience.By the end of the book, you’ll be able to implement your organization’s training strategy, deliver engaging learning experiences, and generate meaningful reports to monitor their effectiveness.

Architectural Patterns and Techniques for Developing IoT Solutions. Build IoT applications using digital twins, gateways, rule engines, AI/ML integration, and related patterns

Jasbir Singh Dhaliwal, Grady Booch

As the Internet of Things (IoT) expands and moves to new domains, architectural patterns need to enable faster digital transformation and more uniform development. Through numerous use cases and examples, this book helps you conceptualize and implement IoT architectural patterns and use them in diverse contexts in real-world scenarios.The book begins by introducing you to a variety of IoT architectural patterns and then helps you understand how they are used in domains such as retail, smart manufacturing, consumer, smart cities, and smart agriculture. You’ll also find out how cross-cutting concerns such as security require special considerations in the IoT context. As you advance, you’ll discover all the nuances that are inherent in each layer of IoT reference architecture, including considerations related to analytics for edge/constrained devices, data visualizations, and so on. In the concluding chapters, you’ll explore emerging technologies such as blockchain, 3D printing, 5G, generative AI, quantum computing, and large language models (LLMs) that enhance IoT capabilities to realize broader applications.By the end of this book, you’ll have learned to architect scalable, secure, and unique IoT solutions in any domain using the power of IoT architectural patterns, and you will be able to avoid the pitfalls that typically derail IoT projects.

Getting Started with Greenplum for Big Data Analytics. A hands-on guide on how to execute an analytics project from conceptualization to operationalization using Greenplum

Sunila Gollapudi

Organizations are leveraging the use of data and analytics to gain a competitive advantage over their opposition. Therefore, organizations are quickly becoming more and more data driven. With the advent of Big Data, existing Data Warehousing and Business Intelligence solutions are becoming obsolete, and a requisite for new agile platforms consisting of all the aspects of Big Data has become inevitable. From loading/integrating data to presenting analytical visualizations and reports, the new Big Data platforms like Greenplum do it all. It is now the mindset of the user that requires a tuning to put the solutions to work.Getting Started with Greenplum for Big Data Analytics is a practical, hands-on guide to learning and implementing Big Data Analytics using the Greenplum Integrated Analytics Platform. From processing structured and unstructured data to presenting the results/insights to key business stakeholders, this book explains it all.Getting Started with Greenplum for Big Data Analytics discusses the key characteristics of Big Data and its impact on current Data Warehousing platforms. It will take you through the standard Data Science project lifecycle and will lay down the key requirements for an integrated analytics platform. It then explores the various software and appliance components of Greenplum and discusses the relevance of each component at every level in the Data Science lifecycle.You will also learn Big Data architectural patterns and recap some key advanced analytics techniques in detail. The book will also take a look at programming with R and integration with Greenplum for implementing analytics. Additionally, you will explore MADlib and advanced SQL techniques in Greenplum for analytics. This book also elaborates on the physical architecture aspects of Greenplum with guidance on handling high-availability, back-up, and recovery.

Hands-On Financial Modeling with Microsoft Excel 2019. Build practical models for forecasting, valuation, trading, and growth analysis using Excel 2019

Shmuel Oluwa

Financial modeling is a core skill required by anyone who wants to build a career in finance. Hands-On Financial Modeling with Microsoft Excel 2019 explores terminologies of financial modeling with the help of Excel.This book will provides you with an overview of the steps you should follow to build an integrated financial model. You will explore the design principles, functions, and techniques of building models in a practical manner. Starting with the key concepts of Excel, such as formulas and functions, you will learn about referencing frameworks and other advanced components for building financial models. Later chapters will help you understand your financial projects, build assumptions, and analyze historical data to develop data-driven models and functional growth drivers. The book takes an intuitive approach to model testing and covers best practices and practical use cases.By the end of this book, you will have examined the data from various use cases, and have the skills you need to build financial models to extract the information required to make informed business decisions.

Mastering Veeam Backup & Replication. Secure backup with Veeam 11 for defending your data and accelerating your data protection strategy - Second Edition

Chris Childerhose

Veeam is one of the leading modern data protection solutions, making it a necessary skill for anyone responsible for securing virtual environments. This revised second edition of Mastering Veeam Backup & Replication is updated to cover Veeam version 11. The book guides you through implementing modern data protection solutions for your cloud and virtual infrastructure with Veeam, all while helping you master advanced concepts such as Continuous Data Protection (CDP), extended object storage support, Veeam ONE enhancements, and Orchestrator.Starting with Veeam essentials, including installation, best practices, and optimizations for Veeam Backup & Replication, you'll get to grips with the 3-2-1-1-0 rule to safeguard data. You'll understand how to set up a backup server, proxies, repositories, and more and then advance to cover a powerful feature of Veeam 11 – CDP. As you progress, you'll learn about immutability (also known as hardened repositories) and discover the best practices for creating them. Finally, you'll explore the new proxy option available in Linux and become well-versed with advanced topics such as extended object storage support, Veeam ONE enhancements, and Orchestrator.By the end of this Veeam book, you'll be able to implement Veeam Backup & Replication for securing your environment and enabling disaster recovery.