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Streaming Intelligence Mastering Stream Processing For Real Time Data Analysis
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Book Synopsis Streaming Intelligence: Mastering Stream Processing for Real-Time Data Analysis by : Dr.K.Sundravadivelu
Download or read book Streaming Intelligence: Mastering Stream Processing for Real-Time Data Analysis written by Dr.K.Sundravadivelu and published by SK Research Group of Companies. This book was released on 2024-08-10 with total page 175 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dr.K.Sundravadivelu, Assistant Professor, Department of Computer Science, School of Information Technology, Madurai Kamaraj University, Madurai, Tamil Nadu, India. Mrs.P.Renuka, Assistant Professor, Department of Computer Applications, Dhanalakshmi Srinivasan College of Arts and Science for Women (Autonomous), Perambalur, Tamil Nadu, India. Mrs.V.Suganthi, Assistant Professor, Department of Computer Science, C.T.T.E College for Women, Affiliated to University of Madras, Chennai, Tamil Nadu, India. Mrs.S.Durgadevi, Assistant Professor, Department of Computer Applications, Dhanalakshmi Srinivasan College of Arts and Science for Women (Autonomous), Perambalur, Tamil Nadu, India. Mr.B.Murali Krishna, Assistant Professor, Department of Computer Science and Engineering, Vignan's LARA Institute of Technology and Science, Vadlamudi, Andhra Pradesh, India.
Download or read book Streaming Data written by Andrew Psaltis and published by Simon and Schuster. This book was released on 2017-05-31 with total page 314 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Streaming Data introduces the concepts and requirements of streaming and real-time data systems. The book is an idea-rich tutorial that teaches you to think about how to efficiently interact with fast-flowing data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology As humans, we're constantly filtering and deciphering the information streaming toward us. In the same way, streaming data applications can accomplish amazing tasks like reading live location data to recommend nearby services, tracking faults with machinery in real time, and sending digital receipts before your customers leave the shop. Recent advances in streaming data technology and techniques make it possible for any developer to build these applications if they have the right mindset. This book will let you join them. About the Book Streaming Data is an idea-rich tutorial that teaches you to think about efficiently interacting with fast-flowing data. Through relevant examples and illustrated use cases, you'll explore designs for applications that read, analyze, share, and store streaming data. Along the way, you'll discover the roles of key technologies like Spark, Storm, Kafka, Flink, RabbitMQ, and more. This book offers the perfect balance between big-picture thinking and implementation details. What's Inside The right way to collect real-time data Architecting a streaming pipeline Analyzing the data Which technologies to use and when About the Reader Written for developers familiar with relational database concepts. No experience with streaming or real-time applications required. About the Author Andrew Psaltis is a software engineer focused on massively scalable real-time analytics. Table of Contents PART 1 - A NEW HOLISTIC APPROACH Introducing streaming data Getting data from clients: data ingestion Transporting the data from collection tier: decoupling the data pipeline Analyzing streaming data Algorithms for data analysis Storing the analyzed or collected data Making the data available Consumer device capabilities and limitations accessing the data PART 2 - TAKING IT REAL WORLD Analyzing Meetup RSVPs in real time
Book Synopsis Fundamentals of Stream Processing by : Henrique C. M. Andrade
Download or read book Fundamentals of Stream Processing written by Henrique C. M. Andrade and published by Cambridge University Press. This book was released on 2014-02-13 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: Stream processing is a novel distributed computing paradigm that supports the gathering, processing and analysis of high-volume, heterogeneous, continuous data streams, to extract insights and actionable results in real time. This comprehensive, hands-on guide combining the fundamental building blocks and emerging research in stream processing is ideal for application designers, system builders, analytic developers, as well as students and researchers in the field. This book introduces the key components of the stream computing paradigm, including the distributed system infrastructure, the programming model, design patterns and streaming analytics. The explanation of the underlying theoretical principles, illustrative examples and implementations using the IBM InfoSphere Streams SPL language and real-world case studies provide students and practitioners with a comprehensive understanding of such applications and the middleware that supports them.
Book Synopsis Mastering Real-Time Analytics in Big Data A Comprehensive Guide for Everyone by : Lennox Mark
Download or read book Mastering Real-Time Analytics in Big Data A Comprehensive Guide for Everyone written by Lennox Mark and published by Sunshine. This book was released on 2023-12-02 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Big Data and Real-Time AnalyticsIn today's digital age, data is being generated at an unprecedented rate. Every day, we create 2.5 quintillion bytes of data, and this number is expected to increase exponentially in the coming years. This explosion of data has given rise to the concept of Big Data Analytics, which involves extracting useful insights from massive datasets. In this subchapter, we will delve into the world of Big Data and explore the fascinating field of real-time analytics. Big Data refers to extremely large and complex datasets that cannot be effectively processed using traditional data processing techniques. It encompasses structured, semi-structured, and unstructured data from various sources, including social media, sensors, and transactional systems. The immense volume, velocity, and variety of Big Data pose significant challenges in terms of storage, processing, and analysis. Real-time analytics, on the other hand, is the practice of analyzing data as it is generated, enabling organizations to make immediate, data-driven decisions. Real-time analytics leverages advanced technologies such as machine learning, artificial intelligence, and predictive modeling to extract valuable insights from streaming data. By analyzing data in real-time, organizations can detect anomalies, identify trends, and respond quickly to changing market conditions. The combination of Big Data and real-time analytics offers numerous benefits across industries. For instance, in healthcare, real-time analytics can help monitor patient vitals in real-time, enabling doctors to detect any abnormalities and provide timely interventions. In finance, real-time analytics can detect fraudulent transactions and trigger immediate alerts to prevent financial losses. In retail, real-time analytics can provide personalized recommendations to customers based on their browsing and purchase history. To effectively harness the power of Big Data and real-time analytics, organizations need robust infrastructure and advanced analytics tools. This includes distributed storage systems like Hadoop, which can handle large volumes of data, and stream processing frameworks like Apache Kafka, which can ingest and process real-time data streams. Additionally, organizations need skilled data scientists and analysts who can interpret the results and translate them into actionable insights.
Book Synopsis Mastering Marketing Data Science by : Iain Brown
Download or read book Mastering Marketing Data Science written by Iain Brown and published by John Wiley & Sons. This book was released on 2024-04-26 with total page 439 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Power of Data: Transform Your Marketing Strategies with Data Science In the digital age, understanding the symbiosis between marketing and data science is not just an advantage; it's a necessity. In Mastering Marketing Data Science: A Comprehensive Guide for Today's Marketers, Dr. Iain Brown, a leading expert in data science and marketing analytics, offers a comprehensive journey through the cutting-edge methodologies and applications that are defining the future of marketing. This book bridges the gap between theoretical data science concepts and their practical applications in marketing, providing readers with the tools and insights needed to elevate their strategies in a data-driven world. Whether you're a master's student, a marketing professional, or a data scientist keen on applying your skills in a marketing context, this guide will empower you with a deep understanding of marketing data science principles and the competence to apply these principles effectively. Comprehensive Coverage: From data collection to predictive analytics, NLP, and beyond, explore every facet of marketing data science. Practical Applications: Engage with real-world examples, hands-on exercises in both Python & SAS, and actionable insights to apply in your marketing campaigns. Expert Guidance: Benefit from Dr. Iain Brown's decade of experience as he shares cutting-edge techniques and ethical considerations in marketing data science. Future-Ready Skills: Learn about the latest advancements, including generative AI, to stay ahead in the rapidly evolving marketing landscape. Accessible Learning: Tailored for both beginners and seasoned professionals, this book ensures a smooth learning curve with a clear, engaging narrative. Mastering Marketing Data Science is designed as a comprehensive how-to guide, weaving together theory and practice to offer a dynamic, workbook-style learning experience. Dr. Brown's voice and expertise guide you through the complexities of marketing data science, making sophisticated concepts accessible and actionable.
Book Synopsis Real-Time Analytics by : Byron Ellis
Download or read book Real-Time Analytics written by Byron Ellis and published by John Wiley & Sons. This book was released on 2014-06-23 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can then be used to make sense of the constantly changing data that is beginning to outpace traditional batch-based analysis platforms. The author is among a very few leading experts in the field. He has a prestigious background in research, development, analytics, real-time visualization, and Big Data streaming and is uniquely qualified to help you explore this revolutionary field. Moving from a description of the overall analytic architecture of real-time analytics to using specific tools to obtain targeted results, Real-Time Analytics leverages open source and modern commercial tools to construct robust, efficient systems that can provide real-time analysis in a cost-effective manner. The book includes: A deep discussion of streaming data systems and architectures Instructions for analyzing, storing, and delivering streaming data Tips on aggregating data and working with sets Information on data warehousing options and techniques Real-Time Analytics includes in-depth case studies for website analytics, Big Data, visualizing streaming and mobile data, and mining and visualizing operational data flows. The book's "recipe" layout lets readers quickly learn and implement different techniques. All of the code examples presented in the book, along with their related data sets, are available on the companion website.
Download or read book Mastering AWS written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-06 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cybellium Ltd is dedicated to empowering individuals and organizations with the knowledge and skills they need to navigate the ever-evolving computer science landscape securely and learn only the latest information available on any subject in the category of computer science including: - Information Technology (IT) - Cyber Security - Information Security - Big Data - Artificial Intelligence (AI) - Engineering - Robotics - Standards and compliance Our mission is to be at the forefront of computer science education, offering a wide and comprehensive range of resources, including books, courses, classes and training programs, tailored to meet the diverse needs of any subject in computer science. Visit https://www.cybellium.com for more books.
Book Synopsis Mastering Microsoft Power BI by : Greg Deckler
Download or read book Mastering Microsoft Power BI written by Greg Deckler and published by Packt Publishing Ltd. This book was released on 2022-06-30 with total page 712 pages. Available in PDF, EPUB and Kindle. Book excerpt: Plan, design, develop, and manage robust Power BI solutions to generate meaningful insights and make data-driven decisions. Purchase of the print or Kindle book includes a free eBook in the PDF format. Key FeaturesMaster the latest dashboarding and reporting features of Microsoft Power BICombine data from multiple sources, create stunning visualizations and publish Power BI apps to thousands of usersGet the most out of Microsoft Power BI with real-world use cases and examplesBook Description Mastering Microsoft Power BI, Second Edition, provides an advanced understanding of Power BI to get the most out of your data and maximize business intelligence. This updated edition walks through each essential phase and component of Power BI, and explores the latest, most impactful Power BI features. Using best practices and working code examples, you will connect to data sources, shape and enhance source data, and develop analytical data models. You will also learn how to apply custom visuals, implement new DAX commands and paginated SSRS-style reports, manage application workspaces and metadata, and understand how content can be staged and securely distributed via Power BI apps. Furthermore, you will explore top report and interactive dashboard design practices using features such as bookmarks and the Power KPI visual, alongside the latest capabilities of Power BI mobile applications and self-service BI techniques. Additionally, important management and administration topics are covered, including application lifecycle management via Power BI pipelines, the on-premises data gateway, and Power BI Premium capacity. By the end of this Power BI book, you will be confident in creating sustainable and impactful charts, tables, reports, and dashboards with any kind of data using Microsoft Power BI. What you will learnBuild efficient data retrieval and transformation processes with the Power Query M language and dataflowsDesign scalable, user-friendly DirectQuery, import, and composite data modelsCreate basic and advanced DAX measuresAdd ArcGIS Maps to create interesting data storiesBuild pixel-perfect paginated reportsDiscover the capabilities of Power BI mobile applicationsManage and monitor a Power BI environment as a Power BI administratorScale up a Power BI solution for an enterprise via Power BI Premium capacityWho this book is for Business Intelligence professionals and intermediate Power BI users looking to master Power BI for all their data visualization and dashboarding needs will find this book useful. An understanding of basic BI concepts is required and some familiarity with Microsoft Power BI will be helpful to make the most out of this book.
Book Synopsis Mastering Apache Flink by : Cybellium Ltd
Download or read book Mastering Apache Flink written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Harness the Power of Stream Processing and Batch Data Analytics Are you ready to dive into the world of stream processing and batch data analytics with Apache Flink? "Mastering Apache Flink" is your comprehensive guide to unlocking the full potential of this cutting-edge framework for real-time data processing. Whether you're a data engineer looking to optimize data flows or a data scientist aiming to derive insights from large datasets, this book equips you with the knowledge and tools to master the art of Flink-based data processing. Key Features: 1. In-Depth Exploration of Apache Flink: Immerse yourself in the core principles of Apache Flink, understanding its architecture, components, and capabilities. Build a solid foundation that empowers you to process data in both real-time and batch modes. 2. Installation and Configuration: Master the art of installing and configuring Apache Flink on various platforms. Learn about cluster setup, resource management, and configuration tuning for optimal performance. 3. Flink Data Streams: Dive into Flink's data stream processing capabilities. Explore event time processing, windowing, and stateful computations for real-time data analysis. 4. Flink Batch Processing: Uncover the power of Flink for batch data analytics. Learn how to process large datasets using Flink's batch processing mode for efficient analysis. 5. Flink SQL: Delve into Flink's SQL and Table API. Discover how to write SQL queries and perform transformations on structured and semi-structured data for intuitive data manipulation. 6. Flink's State Management: Master Flink's state management mechanisms. Learn how to manage application state for fault tolerance and how to work with savepoints and checkpoints. 7. Complex Event Processing with CEP: Explore Flink's complex event processing capabilities. Learn how to detect patterns, anomalies, and trends in data streams for real-time insights. 8. Machine Learning with FlinkML: Embark on a journey into machine learning with FlinkML. Learn how to implement predictive analytics and machine learning algorithms for data-driven models. 9. Flink Ecosystem and Integrations: Navigate Flink's ecosystem of libraries and integrations. From data ingestion with Apache Kafka to collaborative analytics with Zeppelin, explore tools that enhance Flink's functionalities. 10. Real-World Applications: Gain insights into real-world use cases of Apache Flink across industries. From IoT data processing to fraud detection, explore how organizations leverage Flink for real-time insights. Who This Book Is For: "Mastering Apache Flink" is an indispensable resource for data engineers, analysts, and IT professionals who want to excel in stream processing and batch data analytics using Flink. Whether you're new to Flink or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of this powerful framework.
Book Synopsis Mastering Event-Driven Microservices in AWS by : Lefteris Karageorgiou
Download or read book Mastering Event-Driven Microservices in AWS written by Lefteris Karageorgiou and published by Orange Education Pvt Ltd. This book was released on 2024-08-23 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: TAGLINE Unleash the Power of AWS Serverless Services for Scalable, Resilient, and Reactive Architectures KEY FEATURES ● Master the art of leveraging AWS serverless services to build robust event-driven systems. ● Gain expertise in implementing advanced event-driven patterns in AWS. ● Develop advanced skills in production-ready practices for testing, monitoring, and optimizing event-driven microservices in AWS. DESCRIPTION In the book Mastering Event-Driven Microservices in AWS, author Lefteris Karageorgiou takes you on a comprehensive journey through the world of event-driven architectures and microservices. This practical guide equips you with the knowledge and skills to design, build, and operate resilient, scalable, and fault-tolerant systems using AWS serverless services. Through concrete examples and code samples, you'll learn how to construct real-world event-driven microservices architectures, such as point-to-point messaging, pub/sub messaging, event streaming, and advanced architectures like event sourcing, CQRS, circuit breakers, and sagas. Leveraging AWS services like AWS Lambda, Amazon API Gateway, Amazon EventBridge, Amazon SQS, Amazon SNS, Amazon SQS, AWS Step Functions, and Amazon Kinesis, you'll gain hands-on experience in building robust event-driven applications. The book goes beyond just theory and delves into production-ready practices for testing, monitoring, troubleshooting, and optimizing your event-driven microservices. By the end of this comprehensive book, you'll have the confidence and expertise to design, build, and run mission-critical event-driven microservices in AWS, empowering you to tackle complex distributed systems challenges with ease. Whether you're an experienced developer or a team looking to stay ahead of the curve, Mastering Event-Driven Microservices in AWS is an essential resource that will equip you with the tools and knowledge necessary to harness the power of event-driven microservices in the AWS ecosystem. WHAT WILL YOU LEARN ● Design and implement event-driven microservices on AWS seamlessly. ● Leverage AWS serverless services more effectively. ● Build robust, scalable, and fault-tolerant event-driven applications on AWS. ● Implement advanced event-driven patterns on AWS. ● Monitor and troubleshoot event-driven microservices on AWS effectively. ● Secure and optimize event-driven microservices for production workloads on AWS. WHO IS THIS BOOK FOR? This book is an invaluable resource for developers, architects, and engineers who want to build scalable and efficient applications on the AWS platform using event-driven microservices architecture. It is tailored for professionals with prior experience in cloud computing and microservices development, providing them with the necessary knowledge and skills to leverage AWS serverless services effectively for designing and implementing event-driven microservices. TABLE OF CONTENTS 1. Introduction to Event-Driven Microservices 2. Designing Event-Driven Microservices in AWS 3. Messaging with Amazon SQS and Amazon SNS 4. Choreography with Amazon EventBridge 5. Orchestration with AWS Step Functions 6. Event Streaming with Amazon Kinesis 7. Testing Event-Driven Systems 8. Monitoring and Troubleshooting 9. Optimizations and Best Practices for Production 10. Real-World Use Cases on AWS Index
Book Synopsis Streaming Analytics by : Pethuru Raj
Download or read book Streaming Analytics written by Pethuru Raj and published by IET. This book was released on 2022-09-09 with total page 467 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this book, the authors articulate the challenges associated with streaming data and analytics, describe data analytics algorithms and approaches, present edge and fog computing concepts and technologies and show how streaming analytics can be accomplished in edge device clouds. They also delineate several industry use cases.
Book Synopsis Mastering Azure Analytics by : Zoiner Tejada
Download or read book Mastering Azure Analytics written by Zoiner Tejada and published by "O'Reilly Media, Inc.". This book was released on 2017-04-06 with total page 461 pages. Available in PDF, EPUB and Kindle. Book excerpt: Microsoft Azure has over 20 platform-as-a-service (PaaS) offerings that can act in support of a big data analytics solution. So which one is right for your project? This practical book helps you understand the breadth of Azure services by organizing them into a reference framework you can use when crafting your own big data analytics solution. You’ll not only be able to determine which service best fits the job, but also learn how to implement a complete solution that scales, provides human fault tolerance, and supports future needs. Understand the fundamental patterns of the data lake and lambda architecture Recognize the canonical steps in the analytics data pipeline and learn how to use Azure Data Factory to orchestrate them Implement data lakes and lambda architectures, using Azure Data Lake Store, Data Lake Analytics, HDInsight (including Spark), Stream Analytics, SQL Data Warehouse, and Event Hubs Understand where Azure Machine Learning fits into your analytics pipeline Gain experience using these services on real-world data that has real-world problems, with scenarios ranging from aviation to Internet of Things (IoT)
Book Synopsis Mastering the Data Paradox by : Nitin Seth
Download or read book Mastering the Data Paradox written by Nitin Seth and published by Penguin Random House India Private Limited. This book was released on 2024-03-18 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are two remarkable phenomena that are unfolding almost simultaneously. The first is the emergence of a data-first world, where data has become a central driving force, shaping industries and fueling innovation. The second is the dawn of the AI age, propelled by the advent of Generative AI, that has created the possibility to leverage the data of the world for the first time. The convergence of these two, with data as the common denominator, holds immense promise and the opportunities are boundless. This book provides us with opportunities to push our thinking, to innovate, to transform and to create a better future at all levels—individual, enterprise and the world.
