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Cognitive Predictive Maintenance Tools for Brain Diseases: Design and Analysis (Chapman & Hall/CRC Internet of Things)
by Shweta GuptaThis book involves the design, analysis, and application of various cognitive predictive maintenance tests with the help of tools like vibration analysis, ultrasonic analysis, infrared analysis, oil analysis, laser-shaft alignment, and motor circuit analysis in the prediction of various cognitive diseases such as epilepsy, Parkinson’s disease, Alzheimer’s disease, and depression. These are needed since there are no proper medical tests available to predict these diseases in remote areas at an early stage. Various emerging technologies are analyzed for the design of tests. Key features: Incorporates innovative processes for treating cognitive diseases. Early and exact identification and treatment strategies are incorporated. Future technologies like artificial intelligence, machine learning, the IoT, and data science are used to find solutions. Analysis with existing cognitive disease solutions is incorporated and simulations provided. The novelty of the book lies in the accurate prediction of cognitive diseases. Encompassing future technologies and various communication protocols or devices available for cognitive diseases for the design of new equipment are an outcome of the book. Various parameters like power consumption, productivity, and safety should be taken into account during the analysis, design, and application of a product. The book could well be added to the curriculum of medical colleges and biomedical engineering students. Possible vendors include biomedical research centers like Biotechnika and the Indian Council of Medical Research (ICMR). It would be a breakthrough for biomedical companies to launch their new products.
Learning Real-time Processing with Spark Streaming
by Sumit GuptaBuilding scalable and fault-tolerant streaming applications made easy with Spark streaming About This Book * Process live data streams more efficiently with better fault recovery using Spark Streaming * Implement and deploy real-time log file analysis * Learn about integration with Advance Spark Libraries - GraphX, Spark SQL, and MLib. Who This Book Is For This book is intended for big data developers with basic knowledge of Scala but no knowledge of Spark. It will help you grasp the basics of developing real-time applications with Spark and understand efficient programming of core elements and applications. What You Will Learn * Install and configure Spark and Spark Streaming to execute applications * Explore the architecture and components of Spark and Spark Streaming to use it as a base for other libraries * Process distributed log files in real-time to load data from distributed sources * Apply transformations on streaming data to use its functions * Integrate Apache Spark with the various advance libraries like MLib and GraphX * Apply production deployment scenarios to deploy your application In Detail Using practical examples with easy-to-follow steps, this book will teach you how to build real-time applications with Spark Streaming. Starting with installing and setting the required environment, you will write and execute your first program for Spark Streaming. This will be followed by exploring the architecture and components of Spark Streaming along with an overview of libraries/functions exposed by Spark. Next you will be taught about various client APIs for coding in Spark by using the use-case of distributed log file processing. You will then apply various functions to transform and enrich streaming data. Next you will learn how to cache and persist datasets. Moving on you will integrate Apache Spark with various other libraries/components of Spark like Mlib, GraphX, and Spark SQL. Finally, you will learn about deploying your application and cover the different scenarios ranging from standalone mode to distributed mode using Mesos, Yarn, and private data centers or on cloud infrastructure. Style and approach A Step-by-Step approach to learn Spark Streaming in a structured manner, with detailed explanation of basic and advance features in an easy-to-follow Style. Each topic is explained sequentially and supported with real world examples and executable code snippets that appeal to the needs of readers with the wide range of experiences.
Neo4j Essentials
by Sumit GuptaIf you are an application developer or software architect who wants to dive into the Cypher language and learn the concepts of graph theory and graph-based data models, this is the book for you. Prior experience with a graph-based or NoSQL-based database is expected. Some knowledge of Java will be beneficial, as this will give you more insights into Neo4j's extensibility.
The Tableau Workshop: A practical guide to the art of data visualization with Tableau
by Sumit Gupta Sylvester Pinto Shweta Sankhe-Savale JC Gillet Kenneth Michael ChervenLearn how to bring your data to life with this hands-on guide to visual analytics with TableauKey FeaturesMaster the fundamentals of Tableau Desktop and Tableau PrepLearn how to explore, analyze, and present data to provide business insightsBuild your experience and confidence with hands-on exercises and activitiesBook DescriptionLearning Tableau has never been easier, thanks to this practical introduction to storytelling with data. The Tableau Workshop breaks down the analytical process into five steps: data preparation, data exploration, data analysis, interactivity, and distribution of dashboards. Each stage is addressed with a clear walkthrough of the key tools and techniques you'll need, as well as engaging real-world examples, meaningful data, and practical exercises to give you valuable hands-on experience.As you work through the book, you'll learn Tableau step by step, studying how to clean, shape, and combine data, as well as how to choose the most suitable charts for any given scenario. You'll load data from various sources and formats, perform data engineering to create new data that delivers deeper insights, and create interactive dashboards that engage end-users.All concepts are introduced with clear, simple explanations and demonstrated through realistic example scenarios. You'll simulate real-world data science projects with use cases such as traffic violations, urban populations, coffee store sales, and air travel delays.By the end of this Tableau book, you'll have the skills and knowledge to confidently present analytical results and make data-driven decisions.What you will learnBecome an effective user of Tableau Prep and Tableau DesktopLoad, combine, and process data for analysis and visualizationUnderstand different types of charts and when to use themPerform calculations to engineer new data and unlock hidden insightsAdd interactivity to your visualizations to make them more engagingCreate holistic dashboards that are detailed and user-friendlyWho this book is forThis book is for anyone who wants to get started on visual analytics with Tableau. If you're new to Tableau, this Workshop will get you up and running. If you already have some experience in Tableau, this book will help fill in any gaps, consolidate your understanding, and give you extra practice of key tools.
Real-Time Big Data Analytics
by Sumit Gupta ShilpiDesign, process, and analyze large sets of complex data in real time About This Book * Get acquainted with transformations and database-level interactions, and ensure the reliability of messages processed using Storm * Implement strategies to solve the challenges of real-time data processing * Load datasets, build queries, and make recommendations using Spark SQL Who This Book Is For If you are a Big Data architect, developer, or a programmer who wants to develop applications/frameworks to implement real-time analytics using open source technologies, then this book is for you. What You Will Learn * Explore big data technologies and frameworks * Work through practical challenges and use cases of real-time analytics versus batch analytics * Develop real-word use cases for processing and analyzing data in real-time using the programming paradigm of Apache Storm * Handle and process real-time transactional data * Optimize and tune Apache Storm for varied workloads and production deployments * Process and stream data with Amazon Kinesis and Elastic MapReduce * Perform interactive and exploratory data analytics using Spark SQL * Develop common enterprise architectures/applications for real-time and batch analytics In Detail Enterprise has been striving hard to deal with the challenges of data arriving in real time or near real time. Although there are technologies such as Storm and Spark (and many more) that solve the challenges of real-time data, using the appropriate technology/framework for the right business use case is the key to success. This book provides you with the skills required to quickly design, implement and deploy your real-time analytics using real-world examples of big data use cases. From the beginning of the book, we will cover the basics of varied real-time data processing frameworks and technologies. We will discuss and explain the differences between batch and real-time processing in detail, and will also explore the techniques and programming concepts using Apache Storm. Moving on, we'll familiarize you with "Amazon Kinesis" for real-time data processing on cloud. We will further develop your understanding of real-time analytics through a comprehensive review of Apache Spark along with the high-level architecture and the building blocks of a Spark program. You will learn how to transform your data, get an output from transformations, and persist your results using Spark RDDs, using an interface called Spark SQL to work with Spark. At the end of this book, we will introduce Spark Streaming, the streaming library of Spark, and will walk you through the emerging Lambda Architecture (LA), which provides a hybrid platform for big data processing by combining real-time and precomputed batch data to provide a near real-time view of incoming data. Style and approach This step-by-step is an easy-to-follow, detailed tutorial, filled with practical examples of basic and advanced features. Each topic is explained sequentially and supported by real-world examples and executable code snippets.
Blockchain for Secure Healthcare Using Internet of Medical Things (IoMT)
by Sunil Gupta Hitesh Kumar Sharma Monit KapoorHealthcare has become an extremely important and relevant topic in day to day discussions ever since the COVID-19 pandemic has been encountered by the global population. This has led to a renewed focus and attention that researchers from every discipline have put in to realize better strategies for healthcare management in general. This book is an attempt to put to use recent advancements in the field of the Internet of Medical Things often called IoMT, which is an extension of IoT for real-time, data analytics-driven prompt and quality healthcare to global citizens. Security has been always a challenge with pervasive technologies like IoMT and IoT, and thus usage of disruptive technology like blockchain to offset the security concerns that surround the data and network management. Therefore, this book is an honest attempt to provide directions to applied areas of research in IoMT for healthcare with the aid and help of Blockchain Technologies.
Deep Learning with R Cookbook: Over 45 unique recipes to delve into neural network techniques using R 3.5.x
by Swarna Gupta Rehan Ali Ansari Dipayan SarkarTackle the complex challenges faced while building end-to-end deep learning models using modern R libraries Key Features Understand the intricacies of R deep learning packages to perform a range of deep learning tasks Implement deep learning techniques and algorithms for real-world use cases Explore various state-of-the-art techniques for fine-tuning neural network models Book Description Deep learning (DL) has evolved in recent years with developments such as generative adversarial networks (GANs), variational autoencoders (VAEs), and deep reinforcement learning. This book will get you up and running with R 3.5.x to help you implement DL techniques. The book starts with the various DL techniques that you can implement in your apps. A unique set of recipes will help you solve binomial and multinomial classification problems, and perform regression and hyperparameter optimization. To help you gain hands-on experience of concepts, the book features recipes for implementing convolutional neural networks (CNNs), recurrent neural networks (RNNs), and Long short-term memory (LSTMs) networks, as well as sequence-to-sequence models and reinforcement learning. You'll then learn about high-performance computation using GPUs, along with learning about parallel computation capabilities in R. Later, you'll explore libraries, such as MXNet, that are designed for GPU computing and state-of-the-art DL. Finally, you'll discover how to solve different problems in NLP, object detection, and action identification, before understanding how to use pre-trained models in DL apps. By the end of this book, you'll have comprehensive knowledge of DL and DL packages, and be able to develop effective solutions for different DL problems. What you will learn Work with different datasets for image classification using CNNs Apply transfer learning to solve complex computer vision problems Use RNNs and their variants such as LSTMs and Gated Recurrent Units (GRUs) for sequence data generation and classification Implement autoencoders for DL tasks such as dimensionality reduction, denoising, and image colorization Build deep generative models to create photorealistic images using GANs and VAEs Use MXNet to accelerate the training of DL models through distributed computing Who this book is for This deep learning book is for data scientists, machine learning practitioners, deep learning researchers and AI enthusiasts who want to learn key tasks in deep learning domains using a recipe-based approach. A strong understanding of machine learning and working knowledge of the R programming language is mandatory.
Implementing AWS: Leverage AWS features to build highly secure, fault-tolerant, and scalable cloud environments
by Udita Gupta Lucas Chan Rowan Udell Yohan WadiaWork through exciting recipes to administer your AWS cloud Key Features Build secure environments using AWS components and services Explore core AWS features with real-world applications and best practices Design and build Lambda functions using real-world examples Book Description With this Learning Path, you'll explore techniques to easily manage applications on the AWS cloud. You'll begin with an introduction to serverless computing, its advantages, and the fundamentals of AWS. The following chapters will guide you on how to manage multiple accounts by setting up consolidated billing, enhancing your application delivery skills, with the latest AWS services such as CodeCommit, CodeDeploy, and CodePipeline to provide continuous delivery and deployment, while also securing and monitoring your environment's workflow. It'll also add to your understanding of the services AWS Lambda provides to developers. To refine your skills further, it demonstrates how to design, write, test, monitor, and troubleshoot Lambda functions. By the end of this Learning Path, you'll be able to create a highly secure, fault-tolerant, and scalable environment for your applications. This Learning Path includes content from the following Packt products: AWS Administration: The Definitive Guide, Second Edition by Yohan Wadia AWS Administration Cookbook by Rowan Udell, Lucas Chan Mastering AWS Lambda by Yohan Wadia, Udita Gupta What you will learn Explore the benefits of serverless computing and applications Deploy apps with AWS Elastic Beanstalk and Amazon Elastic File System Secure environments with AWS CloudTrail, AWSConfig, and AWS Shield Run big data analytics with Amazon EMR and Amazon Redshift Back up and safeguard data using AWS Data Pipeline Create monitoring and alerting dashboards using CloudWatch Effectively monitor and troubleshoot serverless applications with AWS Design serverless apps via AWS Lambda, DynamoDB, and API Gateway Who this book is for This Learning Path is specifically designed for IT system and network administrators, AWS architects, and DevOps engineers who want to effectively implement AWS in their organization and easily manage daily activities. Familiarity with Linux, web services, cloud computing platforms, virtualization, networking, and other administration-related tasks will assist in understanding the concepts in the book. Prior hands-on experience with AWS core services such as EC2, IAM, S3, and programming languages, such as Node.Js, Java, and C#, will also prove beneficial.
Requirements Engineering for Social Sector Software Applications: Innovating for a Diverse Set of User Needs
by Varun GuptaThis book presents interdisciplinary research in software engineering with applications for the social sector. The author focuses on software applications that are used for social good and that serve the needs of society. The author aims to bridge the knowledge gap between requirement engineers, industry, and users in order to help identify a diverse range of needs in the social sector (taking into account user crowd diversity in terms of technological competencies, geography, demographics, and behavioral and psychographic aspects). The book provides rigorous empirical studies and validates solutions that serve as a guide to the software engineering community, researchers, graduate students, and teachers.Provides interdisciplinary research in software engineering and the needs of the social sector, helping to increase success rates of society focused startups and applicationsIdeal for social entrepreneurs who can use the book for doing customer development with diverse usersEstablishes a new research line of social sector requirement engineering, taking into account user age, language, ability, and access
Requirements Engineering für Softwareanwendungen im sozialen Sektor: Innovationen für eine Vielzahl von Nutzerbedürfnissen
by Varun GuptaDieses Buch stellt interdisziplinäre Forschung im Bereich Software-Engineering von Anwendungen für den sozialen Sektor vor. Der Autor konzentriert sich auf Softwareanwendungen, die für soziale Zwecke eingesetzt werden und den Bedürfnissen der Gesellschaft dienen. Der Autor möchte die Wissenslücke zwischen den Requirements Engineers, der Industrie und den Nutzern schließen, um dazu beizutragen, ein breites Spektrum an Bedürfnissen im sozialen Sektor zu identifizieren (unter Berücksichtigung der Vielfalt der Nutzergruppen in Bezug auf technologische Kompetenzen, Geografie, Demografie sowie verhaltensbezogene und psychografische Aspekte). Das Buch bietet rigorose empirische Studien und validierte Lösungen, die als Leitfaden für die Software-Engineering-Gemeinschaft sowie Forscher, Doktoranden und Lehrer dienen. - Bietet interdisziplinäre Forschung im Bereich Software-Engineering sowie den Bedürfnissen des sozialen Sektors und trägt dazu bei, die Erfolgsquote von auf die Gesellschaft ausgerichteten Startups und Anwendungen zu erhöhen- Ideal für soziale Unternehmer, um das Buch für die Kundenentwicklung mit verschiedenen Nutzern nutzen zu können - Etabliert eine neue Forschungslinie für die Entwicklung von Anforderungen im sozialen Sektor, die Alter, Sprache, Fähigkeiten und Zugang der Nutzer berücksichtigt.
Strategic Value Proposition Innovation Management in Software Startups for Sustained Competitive Advantage: A Strategic Tool for Competitive Advantage (Synthesis Lectures on Technology, Management, & Entrepreneurship)
by Varun GuptaThis book aims to increase the success rates of startups by focusing on value proposition innovation, which is propelled by the involvement of potential consumers as well as other resources such as freelancers and strategic relationships with academia. The author shows how startups who are resource constrained can invest efforts exploring the potential market of their products. The author also explores how global markets can be beneficial for a startup’s success, while showing the workarounds in hard-to-access markets. The book investigates gaining knowledge shared by freelancers, customers, and academia, whose involvement can be crucial in supporting value proposition innovation activities such as ideas generation, implementation, and commercialization. Combined, the author leads readers to discover their ability to foster value proposition innovations that result into long term competitive advantage in a highly fluctuating business environment.
Nonfunctional Requirements in Mobile Application Development
by Varun Gupta Durg Singh Chauhan Raj Kumar ChopraNonfunctional Requirements in Mobile Application Development is an empirical study that investigates how nonfunctional requirements--as compared with functional requirements--are treated by the software engineers during mobile application development. The book empirically analyzes the contribution of nonfunctional requirements to project parameters such as cost, time, and quality. Such parameters are of prime interest as they determine the survival of organizations in highly dynamic environments. The impact of nonfunctional requirements on project success is analyzed through surveys and case studies, both individually and relative to each other. Sources for data collection include industry, academia, and literature. The book also empirically studies the impact of nonfunctional requirements on the overall business success of both the software development firm and the software procuring firm. Project success is examined to determine if it leads to business success. The book provides rich empirical evidence to place nonfunctional requirements on par with functional requirements to achieve business success in highly competitive markets. This work enhances the body of knowledge through multiple empirical research methods including surveys, case studies, and experimentation to study software engineers' focus on nonfunctional requirements at both project and business levels. The book can guide both computer scientists and business managers in devising theoretical and technical solutions for software release planning to achieve business success.
MOOC Learning Platform Development
by Varun Gupta Durg Singh Chauhan Thomas HanneThe work presented in this book is based on empirical study undertaken as a case study to understand the challenges faced in massively open online course (MOOC) based learning and experimentation to understand the challenges for presenting theoretical and practical courses. The book proposes a flexible online platform. This solution provides flexibility in distance learning processes including course enrollment, learning, evaluation, and outcome of degrees. The proposed system not only gives students freedom to choose their courses in accordance with their needs but also use earned credit towards online degrees of any university of their choice.
Research and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts
by Varun Gupta Chetna GuptaResearch and Evidence in Software Engineering: From Empirical Studies to Open Source Artifacts introduces advanced software engineering to software engineers, scientists, postdoctoral researchers, academicians, software consultants, management executives, doctoral students, and advanced level postgraduate computer science students. This book contains research articles addressing numerous software engineering research challenges associated with various software development-related activities, including programming, testing, measurements, human factors (social software engineering), specification, quality, program analysis, software project management, and more. It provides relevant theoretical frameworks, empirical research findings, and evaluated solutions addressing the research challenges associated with the above-mentioned software engineering activities. To foster collaboration among the software engineering research community, this book also reports datasets acquired systematically through scientific methods and related to various software engineering aspects that are valuable to the research community. These datasets will allow other researchers to use them in their research, thus improving the quality of overall research. The knowledge disseminated by the research studies contained in the book will hopefully motivate other researchers to further innovation in the way software development happens in real practice.
Sustainability in Software Engineering and Business Information Management: Proceedings of the Conference SSEBIM 2022 (Lecture Notes in Information Systems and Organisation #62)
by Varun Gupta Luis Rubalcaba Chetna Gupta Thomas HanneThe proceedings volume presents selected papers from the International Conference on Sustainability in Software Engineering & Business Information Management: Innovation & Applications (SSEBIM 2022) held in Olten, Switzerland from September 23-24, 2022. It includes research related to sustainability from both a business and technical point of view. From a business perspective, it not only addresses how to make the business operations more sustainable, but also considers factors such as human values, ethics, environment and responsibility of the businesses. From the technical perspective of software development companies, it focuses on sustainability in software engineering ranging from practices, tools, techniques and methods. The contributions reflect how software engineering teams exhibited pro-activeness in their approaches to lead to sustainable development of the software that is of highest quality and reliability.It is intended for a broad audience, including students, researchers and practitioners who work in software engineering and business information management fields.
Business Intelligence with Databricks SQL: Concepts, tools, and techniques for scaling business intelligence on the data lakehouse
by Vihag GuptaMaster critical skills needed to deploy and use Databricks SQL and elevate your BI from the warehouse to the lakehouse with confidenceKey FeaturesLearn about business intelligence on the lakehouse with features and functions of Databricks SQLMake the most of Databricks SQL by getting to grips with the enablers of its data warehousing capabilitiesA unique approach to teaching concepts and techniques with follow-along scenarios on real datasetsBook DescriptionIn this new era of data platform system design, data lakes and data warehouses are giving way to the lakehouse – a new type of data platform system that aims to unify all data analytics into a single platform. Databricks, with its Databricks SQL product suite, is the hottest lakehouse platform out there, harnessing the power of Apache Spark™, Delta Lake, and other innovations to enable data warehousing capabilities on the lakehouse with data lake economics. This book is a comprehensive hands-on guide that helps you explore all the advanced features, use cases, and technology components of Databricks SQL. You'll start with the lakehouse architecture fundamentals and understand how Databricks SQL fits into it. The book then shows you how to use the platform, from exploring data, executing queries, building reports, and using dashboards through to learning the administrative aspects of the lakehouse – data security, governance, and management of the computational power of the lakehouse. You'll also delve into the core technology enablers of Databricks SQL – Delta Lake and Photon. Finally, you'll get hands-on with advanced SQL commands for ingesting data and maintaining the lakehouse. By the end of this book, you'll have mastered Databricks SQL and be able to deploy and deliver fast, scalable business intelligence on the lakehouse.What you will learnUnderstand how Databricks SQL fits into the Databricks Lakehouse PlatformPerform everyday analytics with Databricks SQL Workbench and business intelligence toolsOrganize and catalog your data assetsProgram the data security model to protect and govern your dataTune SQL warehouses (computing clusters) for optimal query experienceTune the Delta Lake storage format for maximum query performanceDeliver extreme performance with the Photon query execution engineImplement advanced data ingestion patterns with Databricks SQLWho this book is forThis book is for business intelligence practitioners, data warehouse administrators, and data engineers who are new to Databrick SQL and want to learn how to deliver high-quality insights unhindered by the scale of data or infrastructure. This book is also for anyone looking to study the advanced technologies that power Databricks SQL. Basic knowledge of data warehouses, SQL-based analytics, and ETL processes is recommended to effectively learn the concepts introduced in this book and appreciate the innovation behind the platform.
Mathematical Analysis II: ICRAPAM 2018, New Delhi, India, October 23–25 (Springer Proceedings in Mathematics & Statistics #307)
by Vijay Gupta P. N. Agrawal Ana Maria Acu Naokant DeoThis book collects original research papers and survey articles presented at the International Conference on Recent Advances in Pure and Applied Mathematics (ICRAPAM), held at Delhi Technological University, India, on 23–25 October 2018. Divided into two volumes, it discusses major topics in mathematical analysis and its applications, and demonstrates the versatility and inherent beauty of analysis. It also shows the use of analytical techniques to solve problems and, wherever possible, derive their numerical solutions. This volume addresses major topics, such as multi-objective optimization problems, impulsive differential equations, mathematical modelling, fuzzy mathematics, graph theory, and coding theory. It is a valuable resource to students as well as researchers in mathematical sciences.
Reliability and Risk Assessment in Engineering: Proceedings of INCRS 2018 (Lecture Notes in Mechanical Engineering)
by Vijay Kumar Gupta Prabhakar V. Varde P. K. Kankar Narendra JoshiThis volume is a collection of articles on reliability and safety engineering presented during INCRS 2018. The articles cover a variety of topics such as big data analytics and their applications in reliability assessment and condition monitoring, health monitoring, management, diagnostics and prognostics of mechanical systems, design for reliability and optimization, and machine learning for industrial applications. A special aspect of this volume is the coverage of performance, failure and reliability issues in electrical distribution systems. This book will be a useful reference for graduate students, researchers and professionals working in the area of reliability assessment, condition monitoring and predictive maintenance.
Modern Mathematical Methods and High Performance Computing in Science and Technology
by Vijay Gupta Michael Resch Ezio Venturino H. M. Srivastava Vinai K. SinghThe book discusses important results in modern mathematical models and high performance computing, such as applied operations research, simulation of operations, statistical modeling and applications, invisibility regions and regular meta-materials, unmanned vehicles, modern radar techniques/SAR imaging, satellite remote sensing, coding, and robotic systems. Furthermore, it is valuable as a reference work and as a basis for further study and research. All contributing authors are respected academicians, scientists and researchers from around the globe. All the papers were presented at the international conference on Modern Mathematical Methods and High Performance Computing in Science & Technology (M3HPCST 2015), held at Raj Kumar Goel Institute of Technology, Ghaziabad, India, from 27-29 December 2015, and peer-reviewed by international experts. The conference provided an exceptional platform for leading researchers, academicians, developers, engineers and technocrats from a broad range of disciplines to meet and discuss state-of-the-art mathematical methods and high performance computing in science & technology solutions. This has brought new prospects for collaboration across disciplines and ideas that facilitate novel breakthroughs.
Comdex Business Accounting
by Vikas GuptaThe book is a combination of two popular applications in their latest version, MS Excel 2010 and Tally.ERP 9. These two applications are widely used across small as well as large business houses and accounting firms. Vikas Gupta has devised the book for upcoming professionals looking for career opportunity in the field of finance and accounts management as well as for professionals who want to upgrade their skills by learning new versions of applications used in the field of business accounting.The book covers MS Excel 2010 and Tally.ERP 9 applications in an easy to understand language supported by ample screenshots and real life scenarios. The book helps you to master business accounting with the help of MS Excel 2010 and Tally.ERP 9 applications.
Comdex® Computer Course Kit: Windows 7 with Office 2010
by Vikas GuptaThe book covers all new features and programs of Windows, such as Internet Explorer, Outlook, etc. The book does not end here; after mastering Windows 7, the book introduces you to Microsoft Office 2010 and helps you in preparing professional letters, personal accounting sheets, presentations, databases and composing emails. Inside the Book: Computer Fundamentals Windows 7 Microsoft Word 2010 Microsoft Excel 2010 Microsoft Access 2010 Microsoft PowerPoint 2010 Microsoft Outlook 2010 The unique Tutor CD provided along with this book is a true add-on. While other books rely on theory and long explanations, the tutor CD accompanying this book helps you build skills on the software you have learned while reading the book.
Comdex Multimedia and Animation
by Vikas GuptaComdex Multimedia And Animation Course Kit Author: Vikas Gupta
Comdex .NET 4.0 Programming Course Kit
by Vikas GuptaThe book is an all-new approach to programming with VB 2010 and C# 2010 for Web and Window-based applications. These two applications are widely used by those aspiring students who wish to build their career in the field of .NET programming. This book is for upcoming professionals looking for career opportunity in the field of .NET programming as well as for professionals who want to upgrade their skills by learning new versions of applications used in the field of .NET programming. The book covers VB 2010, C# 2010, and ASP.NET 4.0 applications in an easy-to-understand language supported by ample screenshots and real life Scenarios. The content of the book goes in adequate detail covering all the aspects of .NET programming.
Kibana Essentials
by Yuvraj GuptaUse the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenariosAbout This BookPerform real-time data analytics and visualizations, on streaming data, using KibanaBuild beautiful visualizations and dashboards with simplicity and ease without any type of coding involvedLearn all the core concepts as well as detailed information about each component used in KibanaWho This Book Is ForWhether you are new to the world of data analytics and data visualization or an expert, this book will provide you with the skills required to use Kibana with ease and simplicity for real-time data visualization of streaming data.This book is intended for those professionals who are interested in learning about Kibana,its installations, and how to use it . As Kibana provides a user-friendly web page, no prior experience is required.What You Will LearnUnderstand the basic concepts of elasticsearch used in Kibana along with step by step guide to install Kibana in Windows and UbuntuExplore the functionality of all the components used in Kibana in detail, such as the Discover, Visualize, Dashboard,and Settings pagesAnalyze data using the powerful search capabilities of elasticsearchUnderstand the different types of aggregations used in Kibana for visualizationCreate and build different types of amazing visualizations and dashboards easilyCreate, save, share, embed, and customize the visualizations added to the dashboardCustomize and tweak the advanced settings of Kibana to ensure ease of useIn DetailWith the increasing interest in data analytics and visualization of large data around the globe, Kibana offers the best features to analyze data and create attractive visualizations and dashboards through simple-to-use web pages. The variety of visualizations provided, combined with the powerful underlying elasticsearch capabilities will help professionals improve their skills with this technology.This book will help you quickly familiarize yourself to Kibana and will also help you to understand the core concepts of this technology to build visualizations easily.Starting with setting up of Kibana and elasticsearch in Windows and Ubuntu, you will then use the Discover page to analyse your data intelligently. Next, you will learn to use the Visualization page to create beautiful visualizations without the need for any coding. Then, you will learn how to use the Dashboard page to create a dashboard and instantly share and embed the dashboards. You will see how to tweak the basic and advanced settings provided in Kibana to manage searches, visualizations, and dashboards. Finally, you will use Kibana to build visualizations and dashboards for real-world scenarios.You will quickly master the functionalities and components used in Kibana to create amazing visualizations based on real-world scenarios. With ample screenshots to guide you through every step, this book will assist you in creating beautiful visualizations with ease.Style and approachThis book is a comprehensive step-by-step guide to help you understand Kibana. It's explained in an easy-to-follow style along with supporting images. Every chapter is explained sequentially , covering the basics of each component of Kibana and providing detailed explanations of all the functionalities of Kibana that appeal.
Mastering ELK Stack
by Yuvraj Gupta Ravi Kumar GuptaThis book cater to developers using the ELK stack in their day-to-day work who are familiar with the basics of Elasticsearch, Logstash, and Kibana, and now want to become an expert at using the ELK stack for data analytics.