Take a look at our Data Analytics books. Shulph carries a great selection of Data Analytics books, and we are always adding more.
BRONZE RUNNER UP: Axiom Awards 2018 - Business Technology Category (1st edition)Data is an integral strategic asset for all businesses. Learn how to leverage this data and generate valuable insights and true business value with bestselling author and data guru Bernard Marr.Data has massive potential for all businesses when used correctly, from small organizations to tech giants and huge multinationals, but this resource is too often not fully utilized. Data Strategy is the must-read guide on how to create a robust, data-driven approach that will harness the power of data to revolutionize your business. Explaining how to collect, use and manage data, this book prepares any organization with the tools and strategies needed to thrive in the digital economy.Now in its second edition, this bestselling title is fully updated with insights on understanding your customers and markets and how to provide them with intelligent services and products. With case studies and real-world examples throughout, Bernard Marr offers unrivalled expertise on how to gain the competitive advantage in a data-driven world.
The future of the Human Resource Management profession is inextricably linked to understanding data analytics. This book provides practical, hands-on approaches to connect data to HR policies and practices to help influence overall business performance. Building on traditional HR skillsets, the book makes understanding and engaging with data analytics possible for professionals at all levels. Leveraging key statistical and financial concepts, including ROI and people productivity, and commonly available tools such as Workday and Tableau, the authors explore key skills and tasks in an accessible and illuminating way, including: data-analytic thinking data management data collection clean-up and warehousing building descriptive and predictive models applying HR analytics skills and tools to workforce planning, recruitment, training, and turnover analysis. Fundamentals of HR Analytics is an essential resource for aspiring, new and experienced HR professionals across a wide range of industrial contexts, as well as data analysts working on business workforce focused projects and upper level students of HR encountering data analytics in this context for the first time.
An end-to-end guide for IBM implementation partners and solution providers. Key Features - Detailed step-by-step IBM Software installation and configuration that saves time for installing and configuring computers. - Designed for students, IT consultants, systems and solution architects, data analysts, and developers. - Unique solution documentation for running Cognos configuration designed for banks, financial services, and insurance companies. Description This book shows how to install IBM Cognos Analytics software and related systems on RedHat Enterprise Linux 8.0, IBM Cloud, IBM Cloud Private (Community Edition), and Windows 10. It includes step-by-step instructions for downloading and installing IBM Cognos Analytics. It also includes numerous examples of setups and updates to analyze the OLAP database utilized by the IBM Case Manager. The initial chapters discuss the installation of IBM Information Management Products. The reader will know the URLs of the downloading sites, the product codes, descriptions, sizes, and the names of each software downloaded to the gzip tar file. It includes setting up RHEL 8.0 Linux OS and using the Docker system for installation on IBM Cloud PAK servers, RedHat Openshift clusters, and IBM Cloud Private. The IBM Cognos installation contains versions 11.1.1 through 11.4.0 on RedHat Linux 8.0 and Windows 10. The book includes the usage of the IBM Cognos Analytics 11.1 R4 Dynamic Cube Datastore and the 11.1 R4 Cube Designer for the report and dashboard. Additionally, the book includes constructing the essential Zlib library from the C language source download, its compilation, and linking. What you will learn - Detailed step-by-step instructions for installing IBM Cognos Analytics. - Installation on Windows 10, RedHat Enterprise Linux 8.0, IBM Cloud, and IBM Cloud Private (CE). - Downloading, compiling, and linking the necessary zlib library on Linux. - Connecting to the CASTORE database using an example of Cognos Analytics configuration. - Creating OLAP Cubes for IBM Case Manager dashboard reports. Who this book is for This book is for IT consultants, architects for systems and solutions, data analysts, and data analytics solution developers. All the examples in the book are based on Unix/Windows and web-based tool basic knowledge. Table of Contents 1. Getting Started with IBM Resources for Cognos 2. IBM Cloud PAK Systems 3. RedHat OpenShift 4.x Installations 4. IBM Cloud Private Cluster systems 5. IBM Cognos Analytics 11. On RHEL 8.0 6. IBM Cognos Analytics 11. On Windows 10.0 7. IBM Cognos Analytics 11 on RHEL 8.0 Linux Fix for Zlib
Expert Choice to build Business Intelligence landscapes and dashboards for Enterprises Key Features - In-depth knowledge of Power BI, demonstrated through step-by-step exercises. - Covers data modelling, visualization, and implementing security with complete hands-on training. - Includes a project that simulates a realistic business environment from start to finish. Description Mastering Power BI covers the entire Power BI implementation process. The readers will be able to understand all the concepts covered in this book, from data modelling to creating powerful - visualizations. This book begins with the concepts and terminology such as Star-Schema, dimensions and facts. It explains about multi-table dataset and demonstrates how to load these tables into Power BI. It shows how to load stored data in various formats and create relationships. Readers will also learn more about Data Analysis Expressions (DAX). This book is a must for the developers wherein they learn how to extend the usability of Power BI, to explore meaningful and hidden data insights. Throughout the book, you keep on learning about the concepts, techniques and expert practices on loading and shaping data, visualization design and security implementation. What you will learn - Learn about Business Intelligence (BI) concepts and its contribution in business analytics. - Learn to connect, load, and transform data from disparate data sources. - Start creating and executing powerful DAX calculations. - Design various visualizations to prepare insightful reports and dashboards. Who this book is for This book is for anyone interested in learning how to use Power BI desktop or starting a career in Business Intelligence and Analytics. While this covers all the fundamentals, it is recommended that the reader be familiar with MS-Excel and database concepts. Table of Contents 1. Understanding the Basics 2. Connect and Shape 3. Optimize your datamodel 4. Data Analysis Expressions (DAX) 5. Visualizations in Power BI 6. Power BI Service 7. Securing your application About the Authors Chandraish Sinha is the Founder/President of Ohio Computer Academy, a company dedicated to IT education. An IT trainer at heart, Chandraish resonates with his company’s slogan Inspire, Educate & Evolve. He is a Business Intelligence learner and explorer. He has implemented multiple large and medium scale BI solutions. In his 22 years of career, Chandraish has worked with a variety of dashboarding applications such as, Power BI, Tableau, QlikView, Qlik Sense, IBM Cognos, Business Objects and Actuate. He is passionate about data and explores applications that provide better data insights. He has also authored multiple books on Tableau and QlikView. Checkout his Amazon author profile amazon.com/author/chandraishsinha Blog links: https://ohiocomputeracademy.com/category/power-bi/ LinkedIn Profile: www.linkedin.com/in/chandraishsinha
Build a platform using Apache Kafka, Spark, and Storm to generate real-time data insights and view them through Dashboards. Key Features - Extensive practical demonstration of Apache Kafka concepts, including producer and consumer examples. - Includes graphical examples and explanations of implementing Kafka Producer and Kafka Consumer commands and methods. - Covers integration and implementation of Spark-Kafka and Kafka-Storm architectures. Description Real-Time Streaming with Apache Kafka, Spark, and Storm is a book that provides an overview of the real-time streaming concepts and architectures of Apache Kafka, Storm, and Spark. The readers will learn how to build systems that can process data streams in real time using these technologies. They will be able to process a large amount of real-time data and perform analytics or generate insights as a result of this. The architecture of Kafka and its various components are described in detail. A Kafka Cluster installation and configuration will be demonstrated. The Kafka publisher-subscriber system will be implemented in the Eclipse IDE using the Command Line and Java. The book discusses the architecture of Apache Storm, the concepts of Spout and Bolt, as well as their applications in a Transaction Alert System. It also describes Spark's core concepts, applications, and the use of Spark to implement a microservice. To learn about the process of integrating Kafka and Storm, two approaches to Spark and Kafka integration will be discussed. This book will assist a software engineer to transition to a Big Data engineer and Big Data architect by providing knowledge of big data processing and the architectures of Kafka, Storm, and Spark Streaming. What you will learn - Creation of Kafka producers, consumers, and brokers using command line. - End-to-end implementation of Kafka messaging system with Java in Eclipse. - Perform installation and creation of a Storm Cluster and execute Storm Management commands. - Implement Spouts, Bolts and a Topology in Storm for Transaction alert application system. Who this book is for This book is intended for Software Developers, Data Scientists, and Big Data Architects who want to build software systems to process data streams in real time. To understand the concepts in this book, knowledge of any programming language such as Java, Python, etc. is needed. Table of Contents 1. Introduction to Kafka 2. Installing Kafka 3. Kafka Messaging 4. Kafka Producers 5. Kafka Consumers 6. Introduction to Storm 7. Installation and Configuration 8. Spouts and Bolts 9. Introduction to Spark 10. Spark Streaming 11. Kafka Integration with Storm 12. Kafka Integration with Spark About the Authors Brindha Priyadarshini Jeyaraman has more than 12+ years of work experience in Software Development and building Data analytics systems. She has completed her M.Tech in Knowledge Engineering with a gold medal from the National University of Singapore. She is an expert in understanding business problems, designing, and implementing solutions using Machine Learning. She has a strong software development background with extensive experience in implementing data analytics systems. She has worked on several Data Science projects in Transportation, E-commerce, Healthcare, Insurance, Banking and Finance Domains. She has completed her SCJP and SCWCD certifications. LinkedIn Profile: https://www.linkedin.com/in/brindha-jeyaraman-75347922/
We are living in a new machine age offering unique opportunities, particularly for generating customer insights, which is radically transforming the way business value is created. Across industries, players are affected by the pace of progress of machine learning tools, novel technologies, and the abundance of data. These developments require mastering new capabilities. The Machine Age of Customer Insight explains the transformation of customer insights and demonstrates the growing impact of machine learning. Thought leaders from renowned universities in the US and Europe as well as from different industries provide a comprehensive overview. Addressing both academics and practitioners, they discuss the transformation, cutting edge tools, and success factors to thrive in the new age. The book shows how machine learning helps to understand customers better and faster. It supports everyone who considers the machine age a great opportunity to gain a competitive advantage by transforming customer insights into business value.