The book takes a hands-on approach to developing dashboards, from instructing users on advanced Excel techniques to addressing dashboard pitfalls common in the real world. Dashboards for Excel is your key to creating informative, actionable, and interactive dashboards and decision support systems. Throughout the book, the reader is challenged to think about Excel and data analytics differently—that is, to think outside the cell. This book shows you how to create dashboards in Excel quickly and effectively. In this book, you learn how to: Apply data visualization principles for more effective dashboards Employ dynamic charts and tables to create dashboards that are constantly up-to-date and providing fresh information Use understated yet powerful formulas for Excel development Apply advanced Excel techniques mixing formulas and Visual Basic for Applications (VBA) to create interactive dashboards Create dynamic systems for decision support in your organization Avoid common problems in Excel development and dashboard creation Get started with the Excel data model, PowerPivot, and Power Query

Organizations face many challenges in managing ever-increasing documents that they need to conduct their businesses. IBM® content management and imaging solutions can capture, store, manage, integrate, and deliver various forms of content throughout an enterprise. These tools can help reduce costs associated with content management and help organizations deliver improved customer service. The advanced document capture capabilities are provided through IBM Datacap software. This IBM Redbooks® publication focuses on Datacap components, system architecture, functions, and capabilities. It explains how Datacap works, how to design a document image capture solution, and how to implement the solution using Datacap Developer Tools, such as Datacap FastDoc (Admin). FastDoc is the development tool that designers use to create rules and rule sets, configure a document hierarchy and task profiles, and set up a verification panel for image verification. A loan application example explains the advanced technologies of IBM Datacap Version 9. This scenario shows how to develop a versatile capture solution that is able to handle both structured and unstructured documents. Information about high availability, scalability, performance, backup and recovery options, preferable practices, and suggestions for designing and implementing an imaging solution is also included. This book is intended for IT architects and professionals who are responsible for creating, improving, designing, and implementing document imaging solutions for their organizations.

Introducing SQL Server is a fast and easy introduction to SQL Server and the world of relational databases. You’ll learn how databases work and how to use the T-SQL language by practicing on one of the most widely-used and powerful database engines in the corporate world: Microsoft SQL Server. Do you quake at the sight of a SELECT statement? Start to shiver when people start talking about tables and rows? Fear not, Introducing SQL Server is here to rescue you. The book focuses on the knowledge and skills needed to begin your journey toward becoming a solid and competent SQL Server professional and database programmer. You’ll learn the core concepts of SQL Server, from installing the software to executing and profiling queries. Introducing SQL Server is aimed at SQL Server newcomers as well as at those wanting to improve their database skills. You’ll put a comprehensive database together as you work through the book. You will create tables and learn to use constraints; create reusable functions and stored procedures; and even learn how indexes work and what they bring in terms of increased performance. Introducing SQL Server shows you that databases don’t need to be difficult. Teaches you how to build a SQL Server database from scratch Takes a tutorial-based approach, with each chapter building on the last Covers what you need to know for common SQL Server development tasks

Learning Android Google Maps is the ultimate guide to integrating Google Maps into your Android applications. This book takes you through the process of setting up, customizing, and leveraging this powerful feature. By the end, you'll be adept at creating engaging map functionalities applicable for any Android project. What this Book will help me do Understand how to set up the Android development environment and obtain the Google API key to start using Maps. Gain the skills to add features to Google Maps, such as markers, overlays, and custom information windows. Learn how to work with various types of maps, enabling specific applications. Master the ability to connect your map with real-time GPS data, offering user location-based services. Discover how to implement Google Street View and other interactive geographic features into your apps. Author(s) This book is meticulously compiled by developers with extensive experience in building Android applications and implementing Google Maps. Their combined years of hands-on development ensure the instructions are clear, comprehensive, and practical. Their passion for teaching shines as they break down complex topics into easy-to-understand explanations. Who is it for? This book is ideal for Android developers looking to integrate map functionalities into their apps. Beginners can follow along due to its detailed, step-by-step approach, while intermediate developers will appreciate the customization techniques and advanced features covered. If you aim to master Google Maps API in Android development, this book is for you.

Unlock the full potential of the R programming language with 'Mastering Data Analysis with R'. This book takes you from basic data manipulation to advanced visualization and modeling techniques, providing hands-on guidance to solve real-world data science challenges. What this Book will help me do Efficiently manipulate and clean large datasets using R techniques. Build and evaluate statistical models and machine learning algorithms. Visualize data insights through compelling graphics and visualizations. Analyze social networks and graph data within R's environment. Perform geospatial data analysis with specialized R packages. Author(s) None Daróczi is a seasoned data scientist and R developer with extensive industry and academic experience. He specializes in employing R for sophisticated data analysis tasks and visualization. His approachable writing style, combined with in-depth technical expertise, ensures learners of varying levels can connect with and benefit from his materials. Who is it for? This book is ideal for data scientists, statisticians, and analysts who are familiar with basics of R and want to deepen their expertise. If you are looking to learn practical applications of advanced R capabilities for data wrangling, modeling, and visualization, this is for you. It suits professionals aiming to implement data-driven solutions and empowers them to make informed decisions with R's tools. Find practical techniques to elevate your data analysis proficiency here.

Unlock the full potential of Oracle's API Management Solution 12c with this comprehensive guide. Through a practical case study, you'll master how to implement API strategies, develop and manage APIs, and leverage Oracle's tools for API governance and community management. This book equips you with the knowledge needed to align API functionality with business goals. What this Book will help me do Master the principles of API management and the differences between API Management and SOA Governance. Learn how to define and implement an API management strategy aligned with business drivers. Understand the intricacies of Oracle's API Management Solution components: OAC, OAPIM, and OAG. Explore hands-on use cases for applying API management in organizational scenarios. Acquire skills in deploying Oracle API Management products with tips for real-world implementation. Author(s) None Carrasco is an experienced technical architect specializing in SOA Governance and API Management. With a career dedicated to exploring Oracle's solutions, they bring hands-on expertise in applying technical concepts to solve real-world problems. Known for their clear and structured teaching, None ensures readers gain practical knowledge to drive value through technology. Who is it for? This book is ideal for Enterprise Architects, Solution Architects, Technical Architects, and API consultants seeking to deepen their understanding of API management with the Oracle 12c suite. If you're familiar with basic IT infrastructure concepts and looking to integrate business priorities with API development processes, this guide is tailored for you.

Dive into building recommendation systems with R in this comprehensive guide. You will learn about data mining, machine learning, and how R's powerful libraries and tools can be utilized to create efficient and optimized recommendation engines. By the end of this book, you will have the expertise to develop custom solutions tailored to specific data and user cases. What this Book will help me do Master the foundations of recommendation systems and their applications. Understand and implement essential data preprocessing techniques. Learn to optimize recommendation algorithms for better efficiency. Explore the use of the recommenderlab package in R for building models. Gain hands-on experience through a complete case study building a recommendation engine. Author(s) None Usuelli is a seasoned data scientist and R programming enthusiast passionate about machine learning and data analysis. They have extensive experience in developing recommendation systems for various industries, leveraging the power of R for robust solutions. None's clear teaching approach makes complex concepts accessible to learners of all levels. Who is it for? This book is ideal for developers who already possess a fundamental understanding of R and basic machine learning principles. If you aim to deepen your knowledge in creating advanced recommendation systems and practically apply these concepts, this book is the perfect resource for you. It is an excellent guide for professionals looking to specialize in predictive analytics and systems design.

SAP is a market leader in enterprise business application software. SAP solutions provide a rich set of composable application modules, and configurable functional capabilities that are expected from a comprehensive enterprise business application software suite. In most cases, companies that adopt SAP software remain heterogeneous enterprises running both SAP and non-SAP systems to support their business processes. Regardless of the specific scenario, in heterogeneous enterprises most SAP implementations must be integrated with a variety of non-SAP enterprise systems: Portals Messaging infrastructure Business process management (BPM) tools Enterprise Content Management (ECM) methods and tools Business analytics (BA) and business intelligence (BI) technologies Security Systems of record Systems of engagement The tooling included with SAP software addresses many needs for creating SAP-centric environments. However, the classic approach to implementing SAP functionality generally leaves the business with a rigid solution that is difficult and expensive to change and enhance. When SAP software is used in a large, heterogeneous enterprise environment, SAP clients face the dilemma of selecting the correct set of tools and platforms to implement SAP functionality, and to integrate the SAP solutions with non-SAP systems. This IBM® Redbooks® publication explains the value of integrating IBM software with SAP solutions. It describes how to enhance and extend pre-built capabilities in SAP software with best-in-class IBM enterprise software, enabling clients to maximize return on investment (ROI) in their SAP investment and achieve a balanced enterprise architecture approach. This book describes IBM Reference Architecture for SAP, a prescriptive blueprint for using IBM software in SAP solutions. The reference architecture is focused on defining the use of IBM software with SAP, and is not intended to address the internal aspects of SAP components. The chapters of this book provide a specific reference architecture for many of the architectural domains that are each important for a large enterprise to establish common strategy, efficiency, and balance. The majority of the most important architectural domain topics, such as integration, process optimization, master data management, mobile access, Enterprise Content Management, business intelligence, DevOps, security, systems monitoring, and so on, are covered in the book. However, there are several other architectural domains which are not included in the book. This is not to imply that these other architectural domains are not important or are less important, or that IBM does not offer a solution to address them. It is only reflective of time constraints, available resources, and the complexity of assembling a book on an extremely broad topic. Although more content could have been added, the authors feel confident that the scope of architectural material that has been included should provide organizations with a fantastic head start in defining their own enterprise reference architecture for many of the important architectural domains, and it is hoped that this book provides great value to those reading it. This IBM Redbooks publication is targeted to the following audiences: Client decision makers and solution architects leading enterprise transformation projects and wanting to gain further insight so that they can benefit from the integration of IBM software in large-scale SAP projects. IT architects and consultants integrating IBM technology with SAP solutions.

Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a practical, actionable view of big data by working with real data and real problems. Perfect for beginners, this book’s approach will also appeal to experienced practitioners who want to brush up on their skills. Part I explains how Hadoop and MapReduce work, while Part II covers many analytic patterns you can use to process any data. As you work through several exercises, you’ll also learn how to use Apache Pig to process data. Learn the necessary mechanics of working with Hadoop, including how data and computation move around the cluster Dive into map/reduce mechanics and build your first map/reduce job in Python Understand how to run chains of map/reduce jobs in the form of Pig scripts Use a real-world dataset—baseball performance statistics—throughout the book Work with examples of several analytic patterns, and learn when and where you might use them

Data Analysis in the Cloud introduces and discusses models, methods, techniques, and systems to analyze the large number of digital data sources available on the Internet using the computing and storage facilities of the cloud. Coverage includes scalable data mining and knowledge discovery techniques together with cloud computing concepts, models, and systems. Specific sections focus on map-reduce and NoSQL models. The book also includes techniques for conducting high-performance distributed analysis of large data on clouds. Finally, the book examines research trends such as Big Data pervasive computing, data-intensive exascale computing, and massive social network analysis. Introduces data analysis techniques and cloud computing concepts Describes cloud-based models and systems for Big Data analytics Provides examples of the state-of-the-art in cloud data analysis Explains how to develop large-scale data mining applications on clouds Outlines the main research trends in the area of scalable Big Data analysis

Pro MongoDB Development is a critical reference for anyone using MongoDB, a NoSQL database based on the BSON (binary JSON) document model. The book explores many aspects of implementing MongoDB in web applications, whether you are using Java, PHP, Ruby, and JavaScript. Noted expert Deepak Vohra walks you through accessing MongoDB databases with all these languages and working with various other technologies and databases. Vohra discusses using Java EE frameworks Kundera and Spring Data with MongoDB. You learn the nuts and bolts of migrating data from other NoSQL databases (Apache Cassandra and Couchbase) and from relational databases (Oracle Database). And, because NoSQL databases are commonly used with the Hadoop ecosystem, the book also covers using MongoDB with Apache Hive. Each chapter includes details about the software you need and hands on examples of working with MongoDB and these technologies so you know exactly what to do, whatever your MongoDB implementation requires.

For the third consecutive year, O’Reilly Media conducted an anonymous survey to expose the tools that successful data scientists and engineers use, and how those tool choices might relate to their salary. For the 2015 version of the Data Science Salary Survey, we heard from over 600 respondents who work in and around the data space for a variety of industries across 47 countries and 38 U.S. states. The research was based on data collected through an online 32-question survey, including demographic information, time spent on various data-related tasks, and the use or non-use of 116 software tools. Findings include: Download this free in-depth report to gain insight from these potentially career-changing findings, and plug your own variables into one of the linear models to predict your own salary. Average number of tools and median income for all respondents Distribution of responses by a variety of factors, including age, gender, location, industry, role, and cloud computing Detailed analysis of tool use, including tool clusters Correlation of tool usage and salary The survey is now open for the 2016 report, and it takes just 5 to 10 minutes to complete: http://www.oreilly.com/go/ds-salary-​survey-2016.

This comprehensive guide introduces you to Amazon's DynamoDB, a NoSQL database designed for high scalability and performance. Using this book, you will learn how to build robust web and mobile applications on DynamoDB and integrate it seamlessly with other AWS services for a complete cloud solution. What this Book will help me do Understand the key design concepts of DynamoDB and leverage its performance and scalability in your projects. Learn best practices for operating and managing DynamoDB tables, including optimizing throughput and designing efficient indexes. Master techniques for securing data in DynamoDB, including encryption and access management approaches. Explore integration strategies with other AWS services such as S3, EMR, and Lambda, to develop complex, real-world applications. Learn cost-effective solutions and tips for managing DynamoDB usage to avoid unnecessary expenses while maximizing resources. Author(s) None Deshpande, an expert in AWS and NoSQL databases, brings years of practical experience and engineering best practices to this book. With a strong focus on clear and actionable insights, Deshpande is dedicated to enabling developers to unlock the full potential of DynamoDB and related services for scalable application development. Who is it for? This book is most suited for developers and architects familiar with AWS who aim to deepen their understanding of DynamoDB. It is ideal for individuals looking to harness NoSQL databases for robust and scalable application solutions. The topics covered range from foundational knowledge to advanced integrations, making the book approachable yet comprehensive for both learners and seasoned practitioners.

As IBM® Scale Out Network Attached Storage (SONAS) is adopted, it is important to provide information about planning, installation, and daily administration. This IBM Redbooks® publication also describes leading tuning practices information gained by those who implement and support SONAS. These preferred practices are based on hands-on experience from the field. Monitoring of the SONAS system is included. This IBM Redbooks publication provides information about IBM SONAS features and function at the 1.5.1 level. This book is the companion to the IBM SONAS Implementation Guide, SG24-7962 IBM Redbooks publication. It is intended for readers who have implemented SONAS and are responsible for daily administration and monitoring.

This book introduces the authors' recently developed approach to inference: the inferential model (IM) framework. This logical framework for exact probabilistic inference does not require the user to input prior information. The book covers the foundational motivations for this new approach, the basic theory behind its calibration properties, many important applications, and new directions for research. It explores a new way of thinking compared to existing schools of thought on statistical inference and encourages readers to think carefully about the correct approach to scientific inference.

IBM® DB2® Version 11.1 for z/OS® (DB2 11 for z/OS or just DB2 11 throughout this book) is the fifteenth release of DB2 for IBM MVS™. The DB2 11 environment is available either for new installations of DB2 or for migrations from DB2 10 for z/OS subsystems only. This IBM Redbooks® publication describes enhancements that are available with DB2 11 for z/OS. The contents help database administrators to understand the new extensions and performance enhancements, to plan for ways to use the key new capabilities, and to justify the investment in installing or migrating to DB2 11. Businesses are faced with a global and increasingly competitive business environment, and they need to collect and analyze ever increasing amounts of data (Figure 1). Governments also need to collect and analyze large amounts of data. The main focus of this book is to introduce recent DB2 capability that can be used to address challenges facing organizations with storing and analyzing exploding amounts of business or organizational data, while managing risk and trying to meet new regulatory and compliance requirements. This book describes recent extensions to DB2 for z/OS in V10 and V11 that can help organizations address these challenges.

This IBM® Redbooks® publication documents the strength and value of the IBM security strategy with IBM z Systems hardware and software (referred to in this book by the previous product name, IBM System z®). In an age of increasing security consciousness and more dangerous and advanced persistent threats, System z provides the capabilities to address today’s business security challenges. This book explores how System z hardware is designed to provide integrity, process isolation, and cryptographic capability to help address security requirements. We highlight the features of IBM z/OS® and other operating systems that offer a variety of customizable security elements. We also describe z/OS and other operating systems and additional software that use the building blocks of System z hardware to meet business security needs. We explore these from the perspective of an enterprise security architect and how a modern mainframe must fit into an enterprise security architecture. This book is part of a three-volume series that focuses on guiding principles for optimized mainframe security configuration within a holistic enterprise security architecture. The intended audience includes enterprise security architects, planners, and managers who are interested in exploring how the security design and features of the System z platform, the z/OS operating system, and associated software address current issues, such as data encryption, authentication, authorization, network security, auditing, ease of security administration, and monitoring.

Covers Oracle DBMS versions 10, 11, 12, and XE Sams Teach Yourself Oracle PL/SQL in 10 Minutes offers straightforward, practical answers when you need fast results. By working through the book’s 26 lessons of 10 minutes or less, you’ll learn what you need to know to take advantage of Oracle’s PL/SQL language. This handy pocket guide starts with simple data retrieval and moves on to more complex topics, including the use of joins, subqueries, regular expression and full text-based searches, stored procedures, cursors, triggers, table constraints, and much more. 10 minutes is all you need to learn how to... Use PL/SQL in the Oracle environments and tools Construct complex PL/SQL statements using multiple clauses and operators Retrieve, sort, and format database contents Pinpoint the data you need using a variety of filtering techniques Use string, date-time, and math functions to manipulate your data Join two or more related tables Insert, update, and delete data Create and alter database tables Work with views, stored procedures, cursors, triggers, and more

Thoroughly updated and expanded! Includes new coverage on HANA, the cloud, and using SAP’s applications! In just 24 sessions of one hour or less, you’ll get up and running with the latest SAP technologies, applications, and solutions. Using a straightforward, step-by-step approach, each lesson strengthens your understanding of SAP from both a business and technical perspective, helping you gain practical mastery from the ground up on topics such as security, governance, validations, release management, SLA, and legal issues. Step-by-step instructions carefully walk you through the most common questions, issues, and tasks. Quizzes and exercises help you build and test your knowledge. Notes present interesting pieces of information. Tips offer advice or teach an easier way to do something. Cautions advise you about potential problems and help you steer clear of disaster. Learn how to… Understand SAP terminology, concepts, and solutions Install SAP on premises or in the cloud Master SAP’s revamped user interface Discover how and when to use in-memory HANA databases Integrate SAP Software as a Service (SaaS) solutions such as Ariba, Successfactors, Fieldglass, and hybris Find resources at SAP’s Service Marketplace, Developer Network, and Help Portal Avoid pitfalls in SAP project implementation, migration, and upgrades Discover how SAP fits with mobile devices, social media, big data, and the Internet of Things Start or accelerate your career working with SAP technologies

In Beginning Big Data with Power BI and Excel 2013, you will learn to solve business problems by tapping the power of Microsoft’s Excel and Power BI to import data from NoSQL and SQL databases and other sources, create relational data models, and analyze business problems through sophisticated dashboards and data-driven maps. While Beginning Big Data with Power BI and Excel 2013 covers prominent tools such as Hadoop and the NoSQL databases, it recognizes that most small and medium-sized businesses don’t have the Big Data processing needs of a Netflix, Target, or Facebook. Instead, it shows how to import data and use the self-service analytics available in Excel with Power BI. As you’ll see through the book’s numerous case examples, these tools—which you already know how to use—can perform many of the same functions as the higher-end Apache tools many people believe are required to carry out in Big Data projects. Through instruction, insight, advice, and case studies, Beginning Big Data with Power BI and Excel 2013 will show you how to: Import and mash up data from web pages, SQL and NoSQL databases, the Azure Marketplace and other sources. Tap into the analytical power of PivotTables and PivotCharts and develop relational data models to track trends and make predictions based on a wide range of data. Understand basic statistics and use Excel with PowerBI to do sophisticated statistical analysis—including identifying trends and correlations. Use SQL within Excel to do sophisticated queries across multiple tables, including NoSQL databases. Create complex formulas to solve real-world business problems using Data Analysis Expressions (DAX).