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.

Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques

Krishnendu Kar

Computer vision allows machines to gain human-level understanding to visualize, process, and analyze images and videos. This book focuses on using TensorFlow to help you learn advanced computer vision tasks such as image acquisition, processing, and analysis. You'll start with the key principles of computer vision and deep learning to build a solid foundation, before covering neural network architectures and understanding how they work rather than using them as a black box. Next, you'll explore architectures such as VGG, ResNet, Inception, R-CNN, SSD, YOLO, and MobileNet. As you advance, you'll learn to use visual search methods using transfer learning. You'll also cover advanced computer vision concepts such as semantic segmentation, image inpainting with GAN's, object tracking, video segmentation, and action recognition. Later, the book focuses on how machine learning and deep learning concepts can be used to perform tasks such as edge detection and face recognition. You'll then discover how to develop powerful neural network models on your PC and on various cloud platforms. Finally, you'll learn to perform model optimization methods to deploy models on edge devices for real-time inference. By the end of this book, you'll have a solid understanding of computer vision and be able to confidently develop models to automate tasks.

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.

PostgreSQL 11 Administration Cookbook. Over 175 recipes for database administrators to manage enterprise databases

Simon Riggs, Gianni Ciolli, Sudheer Kumar Meesala

PostgreSQL is a powerful, open source database management system with an enviable reputation for high performance and stability. With many new features in its arsenal, PostgreSQL 11 allows you to scale up your PostgreSQL infrastructure. This book takes a step-by-step, recipe-based approach to effective PostgreSQL administration.The book will introduce you to new features such as logical replication, native table partitioning, additional query parallelism, and much more to help you to understand and control, crash recovery and plan backups. You will learn how to tackle a variety of problems and pain points for any database administrator such as creating tables, managing views, improving performance, and securing your database. As you make steady progress, the book will draw attention to important topics such as monitoring roles, backup, and recovery of your PostgreSQL 11 database to help you understand roles and produce a summary of log files, ensuring high availability, concurrency, and replication.By the end of this book, you will have the necessary knowledge to manage your PostgreSQL 11 database efficiently.

Enterprise Integration with Azure Logic Apps. Integrate legacy systems with innovative solutions

Matthew Bennett, Tim Childe

Logic Apps are a visual flowchart-like representation of common programming actions, and are a flexible way to create logic without writing a single line of code. Enterprise Integration with Azure Logic Apps is a comprehensive introduction for anyone new to Logic Apps which will boost your learning skills and allow you to create rich, complex, structured, and reusable logic with instant results.You'll begin by discovering how to navigate the Azure portal and understand how your objects can be zoned to a specific environment by using resource groups. Complete with hands-on tutorials, projects, and self-assessment questions, this easy-to-follow guide will teach you the benefits and foundations of Logic App logic design. As you advance, you'll find out how to manage your Azure environment in relation to Logic Apps and how to create elegant and reliable Logic Apps. With useful and practical explanations of how to get the most out of Logic App actions and triggers, you'll be able to ensure that your Logic Apps work efficiently and provide seamless integration for real-world scenarios without having to write code.By the end of this Logic Apps book, you'll be able to create complex and powerful Logic Apps within minutes, integrating large amounts of data on demand, enhancing your systems, and linking applications to improve user experience.

Cybersecurity Threats, Malware Trends, and Strategies. Discover risk mitigation strategies for modern threats to your organization - Second Edition

Tim Rains, Timothy Youngblood CISSP

Tim Rains is Microsoft's former Global Chief Security Advisor and Amazon Web Services’ former Global Security Leader for Worldwide Public Sector. He has spent the last two decades advising private and public sector organizations all over the world on cybersecurity strategies.Cybersecurity Threats, Malware Trends, and Strategies, Second Edition builds upon the success of the first edition that has helped so many aspiring CISOs, and cybersecurity professionals understand and develop effective data-driven cybersecurity strategies for their organizations. In this edition, you’ll examine long-term trends in vulnerability disclosures and exploitation, regional differences in malware infections and the socio-economic factors that underpin them, and how ransomware evolved from an obscure threat to the most feared threat in cybersecurity. You’ll also gain valuable insights into the roles that governments play in cybersecurity, including their role as threat actors, and how to mitigate government access to data. The book concludes with a deep dive into modern approaches to cybersecurity using the cloud.By the end of this book, you will have a better understanding of the threat landscape, how to recognize good Cyber Threat Intelligence, and how to measure the effectiveness of your organization's cybersecurity strategy.

Interactive Data Visualization with Python. Present your data as an effective and compelling story - Second Edition

Abha Belorkar, Sharath Chandra Guntuku, Shubhangi Hora, Anshu Kumar

With so much data being continuously generated, developers, who can present data as impactful and interesting visualizations, are always in demand. Interactive Data Visualization with Python sharpens your data exploration skills, tells you everything there is to know about interactive data visualization in Python.You'll begin by learning how to draw various plots with Matplotlib and Seaborn, the non-interactive data visualization libraries. You'll study different types of visualizations, compare them, and find out how to select a particular type of visualization to suit your requirements. After you get a hang of the various non-interactive visualization libraries, you'll learn the principles of intuitive and persuasive data visualization, and use Bokeh and Plotly to transform your visuals into strong stories. You'll also gain insight into how interactive data and model visualization can optimize the performance of a regression model.By the end of the course, you'll have a new skill set that'll make you the go-to person for transforming data visualizations into engaging and interesting stories.

What's New in SQL Server 2012. Unleash the new features of SQL Server 2012 with this book and

Rachel Horder, Jon Reade, John Reade

Microsoft SQL Server has been part of the enterprise database landscape since SQL Server 7 arrived in 1998 and has evolved into the relational and BI platform of choice by businesses around the globe. The performance and full feature set of SQL Server has been widely recognized by the business community and it is viewed as a powerful weapon in their database and business intelligence arsenal. SQL Server brings numerous benefits to all businesses, central to which is a thorough understanding of the technology, both current and new.This is the book both DBAs and developers always wanted to buy but could never find in the bookstore. This is a SQL Server book that contains only the new features introduced in SQL Server 2012.This book will give you a competitive advantage by helping you to quickly learn and understand the new features of SQL Server 2012. Most readers will already have an established knowledge of SQL Server and will want to update their 2008/2008R2 knowledge swiftly with least pain.This book takes you through all of the new features of SQL Server 2012, from installing core database services and features, to the new administration and updated Transact-SQL functions. You will discover the new Analysis Services features, introduce data alerts and reporting features and explore the new enhancements to Integration Services. In addition you will learn how to automate, cleanse and transform critical business data with DQS and world-class enterprise level availability features.Finally, you will venture into simulating real-world database loads using Distributed Replay and complete your journey with a look at the new SQL Server cloud services and the new Hadoop big data platform.

Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale

Dr. Nadine Shillingford

Splunk 9 improves on the existing Splunk tool to include important features such as federated search, observability, performance improvements, and dashboarding. This book helps you to make the best use of the impressive and new features to prepare a Splunk installation that can be employed in the data analysis process.Starting with an introduction to the different Splunk components, such as indexers, search heads, and forwarders, this Splunk book takes you through the step-by-step installation and configuration instructions for basic Splunk components using Amazon Web Services (AWS) instances. You’ll import the BOTS v1 dataset into a search head and begin exploring data using the Splunk Search Processing Language (SPL), covering various types of Splunk commands, lookups, and macros. After that, you’ll create tables, charts, and dashboards using Splunk’s new Dashboard Studio, and then advance to work with clustering, container management, data models, federated search, bucket merging, and more.By the end of the book, you’ll not only have learned everything about the latest features of Splunk 9 but also have a solid understanding of the performance tuning techniques in the latest version.

Go Recipes for Developers. Top techniques and practical solutions for real-life Go programming problems

Burak Serdar

With its simple syntax and sensible conventions, Go has emerged as the language of choice for developers in network programming, web services, data processing, and other settings. This practical guide helps engineers leverage Go through up-to-date recipes that solve common problems in day-to-day programming. Drawing from three decades of distributed systems engineering and technical leadership at companies like Red Hat, Burak Serdar brings battle-tested expertise in building robust, scalable applications. He starts by covering basics of code structure, describing different approaches to organizing packages for different types of projects. You’ll discover practical solutions to engineering challenges in network programming, dealing with processes, databases, data processing pipelines, and testing. Each chapter provides working solutions and production-ready code snippets that you can seamlessly incorporate into your programs while working in sequential and concurrent settings. The solutions leverage the more recent additions to the Go language, such as generics and structured logging. Most of the examples are developed using the Go standard library without any third-party packages. By the end of this book, you’ll have worked through a collection of proven recipes that will equip you accelerate your Go development journey.

Alfresco Developer Guide. Customizing Alfresco with actions, web scripts, web forms, workflows, and more

Jeff Potts, Alfresco.com

Learning AWS. Design, build, and deploy responsive applications using AWS cloud components

Aurobindo Sarkar, Amit Shah

Drupal 6 Search Engine Optimization. Rank high in search engines with professional SEO tips, modules, and best practices for Drupal web sites

Ben Finklea

The earlier a site appears in the search results list, the more visitors it will receive from the search engine. Despite several advantages, many Drupal sites suffer with poor search engine standings. Perhaps you are aware of the importance of SEO for increasing traffic to your site, but do you know how to apply it to your Drupal site? Here comes the first book about search engine optimization for Drupal sites.This practical, step-by-step guide takes the mystery out of Drupal search engine optimization (SEO) by showing you the tricks of today's top marketing pros to achieve top ranking in the search engines. This isn't a book of Drupal SEO theory ñ it's a practical guide showing you which modules to install, which settings to use, and dozens of the most closely guarded tricks of the trade to get your web site optimized, higher in the search engines, and more profitable.With this book and basic Drupal 6 knowledge ñ how to log in, create content, and install modules ñ you can build a perfectly search engine optimized web site. Each chapter uses easy, step-by-step instructions to walk you through the Drupal SEO modules, configurations, and content you will need to increase traffic on your web site. You start by reviewing the modules and tools that you should use to optimize your site, how to set up your analytics, and so on. Each subsequent chapter gives detailed instructions on implementing these features in Drupal. Later chapters cover topics like site organization, A/B testing, and automatic content tagging to maximize SEO and increase the conversion rate of your web site. When you have completed the book, you will have implemented the changes to your site required to rank well in the search engines. If you want to maximize the return on investment of your Drupal 6 web site and gain a significant advantage over competitors who are not using Drupal, then this book is for you. Imagine how great you'll feel when your site is optimized to increase the number of visitors and convert them into paying customers.

Learning Microsoft Azure. A comprehensive guide to cloud application development using Microsoft Azure

Geoff Webber Cross

Microsoft .NET Framework 4.5 Quickstart Cookbook. Get up to date with the exciting new features in .NET 4.5 Framework with these simple but incredibly effective recipes

Jose Luis Latorre, Jose Luis Latorre Millas

With about ten years since its first release, Microsoft's .NET Framework 4.5 is one of the most solid development technologies to create casual, business, or enterprise applications. It has evolved into a very stable framework and solid framework for developing applications, with a solid core, called the CLR (Common Language Runtime) Microsoft .NET Framework 4.5 includes massive changes and enables modern application and UI development.Microsoft .Net Framework 4.5 Quickstart Cookbook aims to give you a run through the most exciting features of the latest version. You will experience all the flavors of .NET 4.5 hands on. The “How-to” recipes mix the right ingredients for a final taste of the most appetizing features and characteristics. The book is written in a way that enables you to dip in and out of the chapters.The book is full of practical code examples that are designed to clearly exemplify the different features and their applications in real-world development. All the chapters and recipes are progressive and based on the fresh features on .NET Framework 4.5.The book will begin by teaching you to build a modern UI application and improve it to make it Windows 8 Modern UI apps lifecycle model-compliant. You will create a portable library and throttle data source updating delays. Towards the end of the book, you will create you first Web API.

Synthetic Data for Machine Learning. Revolutionize your approach to machine learning with this comprehensive conceptual guide

Abdulrahman Kerim

The machine learning (ML) revolution has made our world unimaginable without its products and services. However, training ML models requires vast datasets, which entails a process plagued by high costs, errors, and privacy concerns associated with collecting and annotating real data. Synthetic data emerges as a promising solution to all these challenges.This book is designed to bridge theory and practice of using synthetic data, offering invaluable support for your ML journey. Synthetic Data for Machine Learning empowers you to tackle real data issues, enhance your ML models' performance, and gain a deep understanding of synthetic data generation. You’ll explore the strengths and weaknesses of various approaches, gaining practical knowledge with hands-on examples of modern methods, including Generative Adversarial Networks (GANs) and diffusion models. Additionally, you’ll uncover the secrets and best practices to harness the full potential of synthetic data.By the end of this book, you’ll have mastered synthetic data and positioned yourself as a market leader, ready for more advanced, cost-effective, and higher-quality data sources, setting you ahead of your peers in the next generation of ML.