Download or read book Mastering Apache Velocity written by Joseph D. Gradecki and published by John Wiley & Sons. This book was released on 2003-10-07 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive tutorial on how to use the power of Velocity 1.3 tobuild Web sites and generate content Designed to work hand-in-hand with Apache Turbine, Struts, andservlets, Velocity is a powerful template language that greatlyenhances the developer's ability to customize Web sites. Itseparates Java code from the Web pages, making a site moremaintainable. Because of this, it is a viable alternative to JSPsand PHP and is expected to become the standard template engine. Inaddition to its use with Struts and Turbine, Velocity can also beused to generate Java and XML source code, XML schemas, HTMLtemplates, and SQL code. Even with all its promise, finding expert instructions on how toproperly program with this language has been difficult. Thiscode-intensive tutorial gives you all the tools you'll need. It begins by quickly bringing you up to speed on all of theVelocity fundamentals and the Velocity Template Language. You'llthen learn how to apply Velocity in a variety of areas with thehelp of richly detailed code examples. Additionally, you'll betaken through the steps of building a complete application in orderto see how you can utilize all of the techniques and technologiesdiscussed in the book. Covering the latest features of Velocity1.3, Mastering Apache Velocity shows you how to: * Build Java-based Web sites with Struts, servlets, Turbine, andother open-source tools * Generate a wide variety of Web content and code, including Java,XML, SQL, and Postgres

Download or read book Mastering Apache Solr 7 x written by Sandeep Nair and published by Packt Publishing Ltd. This book was released on 2018-02-22 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Accelerate your enterprise search engine and bring relevancy in your search analytics Key Features A practical guide in building expertise with Indexing, Faceting, Clustering and Pagination Master the management and administration of Enterprise Search Applications and services seamlessly Handle multiple data inputs such as JSON, xml, pdf, doc, xls,ppt, csv and much more. Book Description Apache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest internet sites. To begin with, you would be introduced to how you perform full text search, multiple filter search, perform dynamic clustering and so on helping you to brush up the basics of Apache Solr. You will also explore the new features and advanced options released in Apache Solr 7.x which will get you numerous performance aspects and making data investigation simpler, easier and powerful. You will learn to build complex queries, extensive filters and how are they compiled in your system to bring relevance in your search tools. You will learn to carry out Solr scoring, elements affecting the document score and how you can optimize or tune the score for the application at hand. You will learn to extract features of documents, writing complex queries in re-ranking the documents. You will also learn advanced options helping you to know what content is indexed and how the extracted content is indexed. Throughout the book, you would go through complex problems with solutions along with varied approaches to tackle your business needs. By the end of this book, you will gain advanced proficiency to build out-of-box smart search solutions for your enterprise demands. What you will learn Design schema using schema API to access data in the database Advance querying and fine-tuning techniques for better performance Get to grips with indexing using Client API Set up a fault tolerant and highly available server with newer distributed capabilities, SolrCloud Explore Apache Tika to upload data with Solr Cell Understand different data operations that can be done while indexing Master advanced querying through Velocity Search UI, faceting and Query Re-ranking, pagination and spatial search Learn to use JavaScript, Python, SolrJ and Ruby for interacting with Solr Who this book is for The book would rightly appeal to developers, software engineers, data engineers and database architects who are building or seeking to build enterprise-wide effective search engines for business intelligence. Prior experience of Apache Solr or Java programming is must to take the best of this book.

Download or read book Mastering Tomcat Development written by Ian McFarland and published by John Wiley & Sons. This book was released on 2002-12-03 with total page 514 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use Tomcat to quickly build more sophisticated Web applications This comprehensive introduction to developing complex Web applications using Tomcat and related Apache Jakarta technologies examines everything you need to know about Tomcat 4—the popular, award-winning server for implementing and deploying servlets and JavaServer Pages. Tomcat helps developers create dynamic Web content without the problems associated with other methods, like CGI scripts. Author Peter Harrison has written the first book to cover Tomcat from a developer's perspective. He shows you how to use Tomcat by itself as well as with related Apache Jakarta technologies to develop dynamic Web applications, and you'll also learn techniques for improving your programming productivity. This practical, guide is packed with source code and examples of real-world Web applications. Plus, you'll discover other exciting features of Tomcat, including: A code-intensive guide to building Web applications that run on Tomcat Details on using other Apache Jakarta technologies-including Struts, Taglibs, Velocity, and CVS-with Tomcat to form a comprehensive Java Web development process Complete guidelines for installing, configuring, and administering Tomcat, including coverage of the new Manager application and Web application deployment process The companion Web site contains: All source code from the book Working demonstrations Links to additional resources

Download or read book Mastering Spring Application Development written by Anjana Mankale and published by Packt Publishing Ltd. This book was released on 2015-05-30 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are a Java developer with experience in developing applications with Spring, then this book is perfect for you. A good working knowledge of Spring programming conventions and applying dependency injections is recommended to make the most of this book.

Download or read book Mastering Apache Hadoop written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Power of Big Data Processing with Apache Hadoop Ecosystem Are you ready to embark on a journey into the world of big data processing and analysis using Apache Hadoop? "Mastering Apache Hadoop" is your comprehensive guide to understanding and harnessing the capabilities of Hadoop for processing and managing massive datasets. Whether you're a data engineer seeking to optimize processing pipelines or a business analyst aiming to extract insights from large data, this book equips you with the knowledge and tools to master the art of Hadoop-based data processing. Key Features: 1. Deep Dive into Hadoop Ecosystem: Immerse yourself in the core components and concepts of the Apache Hadoop ecosystem. Understand the architecture, components, and functionalities that make Hadoop a powerful platform for big data. 2. Installation and Configuration: Master the art of installing and configuring Hadoop on various platforms. Learn about cluster setup, resource management, and configuration settings for optimal performance. 3. Hadoop Distributed File System (HDFS): Uncover the power of HDFS for distributed storage and data management. Explore concepts like replication, fault tolerance, and data placement to ensure data durability. 4. MapReduce and Data Processing: Delve into MapReduce, the core data processing paradigm in Hadoop. Learn how to write MapReduce jobs, optimize performance, and leverage parallel processing for efficient data analysis. 5. Data Ingestion and ETL: Discover techniques for ingesting and transforming data in Hadoop. Explore tools like Apache Sqoop and Apache Flume for extracting data from various sources and loading it into Hadoop. 6. Data Querying and Analysis: Master querying and analyzing data using Hadoop. Learn about Hive, Pig, and Spark SQL for querying structured and semi-structured data, and uncover insights that drive informed decisions. 7. Data Storage Formats: Explore data storage formats optimized for Hadoop. Learn about Avro, Parquet, and ORC, and understand how to choose the right format for efficient storage and retrieval. 8. Batch and Stream Processing: Uncover strategies for batch and real-time data processing in Hadoop. Learn how to use Apache Spark and Apache Flink to process data in both batch and streaming modes. 9. Data Visualization and Reporting: Discover techniques for visualizing and reporting on Hadoop data. Explore integration with tools like Apache Zeppelin and Tableau to create compelling visualizations. 10. Real-World Applications: Gain insights into real-world use cases of Apache Hadoop across industries. From financial analysis to social media sentiment analysis, explore how organizations are leveraging Hadoop's capabilities for data-driven innovation. Who This Book Is For: "Mastering Apache Hadoop" is an essential resource for data engineers, analysts, and IT professionals who want to excel in big data processing using Hadoop. Whether you're new to Hadoop or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of big data technology.

Download or read book Mastering Apache Hbase written by Cybellium Ltd and published by Cybellium Ltd. This book was released on with total page 345 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the Power of Scalable and Distributed Data Storage with "Mastering Apache HBase" In the rapidly evolving landscape of data management, the ability to efficiently handle massive amounts of data has become an indispensable skill. "Mastering Apache HBase" serves as your definitive guide to mastering one of the most powerful and flexible distributed NoSQL databases – Apache HBase. Whether you're a seasoned data professional or a newcomer to the world of big data, this book equips you with the knowledge and skills needed to harness the full potential of Apache HBase. About the Book: "Mastering Apache HBase" takes you on a comprehensive journey through the intricacies of this robust and versatile NoSQL database. From the fundamentals of installation and configuration to advanced topics such as performance tuning and integration with other Big Data tools, this book covers it all. Each chapter is meticulously crafted to provide a deep understanding of the concepts along with practical, real-world applications. Key Features: · Solid Foundation: Build a strong understanding by exploring the core concepts of Apache HBase, including its architecture, data model, and storage components. · Efficient Data Management: Learn how to create tables, insert and retrieve data, and implement effective data modeling strategies that maximize performance and flexibility. · Scalability and Distribution: Dive into the distributed nature of Apache HBase and discover techniques to scale your cluster horizontally, ensuring seamless growth as your data needs expand. · Advanced Techniques: Master advanced topics such as data versioning, coprocessors, security, and backup and recovery, enabling you to tackle complex scenarios with confidence. · Performance Optimization: Uncover strategies and best practices for optimizing the performance of your Apache HBase cluster, ensuring your applications run smoothly even at scale. · Integration with Ecosystem: Explore how Apache HBase seamlessly integrates with other Big Data tools like Apache Hadoop, Apache Spark, and Apache Hive, opening up possibilities for data analysis and processing. · Real-World Use Cases: Learn through practical examples and use cases from various industries, including social media, e-commerce, finance, and more, to understand how Apache HBase can solve real-world data challenges. · Expert Insights: Benefit from the experience of seasoned professionals who provide insights, tips, and recommendations garnered from their years of working with Apache HBase. Who This Book Is For: "Mastering Apache HBase" is designed for data engineers, database administrators, and anyone involved in managing and analyzing large volumes of data. Whether you're a developer looking to expand your skillset or an experienced professional aiming to deepen your understanding of distributed data storage, this book is your ultimate resource. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com

Download or read book Mastering Apache Cassandra written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Power of Distributed Database for Scalable and High-Performance Applications Are you ready to explore the world of distributed databases and unlock the potential of Apache Cassandra? "Mastering Apache Cassandra" is your comprehensive guide to understanding and harnessing the capabilities of Cassandra for building scalable and high-performance applications. Whether you're a database administrator seeking to optimize performance or a developer aiming to create resilient data-driven solutions, this book equips you with the knowledge and tools to master the art of Cassandra database management. Key Features: 1. Deep Dive into Cassandra: Immerse yourself in the core principles of Apache Cassandra, understanding its architecture, data model, and distributed nature. Build a solid foundation that empowers you to manage data effectively in distributed environments. 2. Installation and Configuration: Master the art of installing and configuring Cassandra on various platforms. Learn about cluster setup, node communication, and replication strategies for fault tolerance. 3. Cassandra Query Language (CQL): Uncover the power of CQL for interacting with Cassandra databases. Explore data definition, manipulation, and querying using CQL's intuitive syntax. 4. Data Modeling: Delve into effective data modeling for Cassandra. Learn about tables, primary keys, composite keys, and denormalization strategies to optimize data retrieval and storage. 5. Distributed Data Management: Discover techniques for managing distributed data effectively. Explore concepts like consistency levels, replication factor, and data partitioning for maintaining data integrity. 6. Performance Tuning and Optimization: Explore strategies for optimizing Cassandra performance. Learn about compaction, read and write paths, caching, and tuning settings to achieve low-latency responses. 7. High Availability and Failover: Master the art of ensuring high availability in Cassandra clusters. Learn about replication strategies, data repair, and handling node failures to maintain continuous data access. 8. Security and Authentication: Explore security features and best practices in Cassandra. Learn how to implement authentication, authorization, and encryption to protect your data. 9. Batch Processing and Analytics: Uncover strategies for performing batch processing and analytics with Cassandra. Learn how to integrate with tools like Apache Spark and execute complex queries. 10. Real-World Applications: Gain insights into real-world use cases of Cassandra across industries. From e-commerce to finance, explore how organizations are leveraging Cassandra's capabilities for innovation. Who This Book Is For: "Mastering Apache Cassandra" is an indispensable resource for database administrators, developers, and IT professionals who want to excel in managing Cassandra databases. Whether you're new to Cassandra or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of distributed data management.

Download or read book Mastering Apache Camel written by Jean-Baptiste Onofre and published by Packt Publishing Ltd. This book was released on 2015-06-30 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will provide you with the skills you need to efficiently create routes using Apache Camel. After briefly introducing the key features and core concepts of Camel, the book will take you through all the important features and components, starting with routing and processors. You will learn how to use beans in Camel routes, covering everything from supported registries and annotations, to the creation of an OSGi bundle and writing route definitions with Blueprint DSL. Leverage the Enterprise Integration Patterns (EIPs) supported by Camel and implement them in your routes. You will then see how components and endpoints handle exchanges in Camel, and how you can use them to create a complete and powerful mediation framework. You will finally learn how to tackle errors and perform testing to ensure that your integration projects are working successfully.

Download or read book Mastering Apache Spark written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Potential of Distributed Data Processing with Apache Spark Are you prepared to venture into the realm of distributed data processing and analytics with Apache Spark? "Mastering Apache Spark" is your comprehensive guide to unlocking the full potential of this powerful framework for big data processing. Whether you're a data engineer seeking to optimize data pipelines or a business analyst aiming to extract insights from massive datasets, this book equips you with the knowledge and tools to master the art of Spark-based data processing. Key Features: 1. Deep Dive into Apache Spark: Immerse yourself in the core principles of Apache Spark, comprehending its architecture, components, and versatile functionalities. Construct a robust foundation that empowers you to manage big data with precision. 2. Installation and Configuration: Master the art of installing and configuring Apache Spark across diverse platforms. Learn about cluster setup, resource allocation, and configuration tuning for optimal performance. 3. Spark Core and RDDs: Uncover the core of Spark—Resilient Distributed Datasets (RDDs). Explore the functional programming paradigm and leverage RDDs for efficient and fault-tolerant data processing. 4. Structured Data Processing with Spark SQL: Delve into Spark SQL for querying structured data with ease. Learn how to execute SQL queries, perform data manipulations, and tap into the power of DataFrames. 5. Streamlining Data Processing with Spark Streaming: Discover the power of real-time data processing with Spark Streaming. Learn how to handle continuous data streams and perform near-real-time analytics. 6. Machine Learning with MLlib: Master Spark's machine learning library, MLlib. Dive into algorithms for classification, regression, clustering, and recommendation, enabling you to develop sophisticated data-driven models. 7. Graph Processing with GraphX: Embark on a journey through graph processing with Spark's GraphX. Learn how to analyze and visualize graph data to glean insights from complex relationships. 8. Data Processing with Spark Structured Streaming: Explore the world of structured streaming in Spark. Learn how to process and analyze data streams with the declarative power of DataFrames. 9. Spark Ecosystem and Integrations: Navigate Spark's rich ecosystem of libraries and integrations. From data ingestion with Apache Kafka to interactive analytics with Apache Zeppelin, explore tools that enhance Spark's capabilities. 10. Real-World Applications: Gain insights into real-world use cases of Apache Spark across industries. From fraud detection to sentiment analysis, discover how organizations leverage Spark for data-driven innovation. Who This Book Is For: "Mastering Apache Spark" is a must-have resource for data engineers, analysts, and IT professionals poised to excel in the world of distributed data processing using Spark. Whether you're new to Spark or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of this transformative framework.

Download or read book Mastering Apache Maven 3 written by Prabath Siriwardena and published by Packt Publishing Ltd. This book was released on 2014-12-29 with total page 460 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you are working with Java or Java EE projects and you want to take full advantage of Maven in designing, executing, and maintaining your build system for optimal developer productivity, then this book is ideal for you. You should be well versed with Maven and its basic functionality if you wish to get the most out of the book.

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.

Download or read book Mastering PyCharm written by Quazi Nafiul Islam and published by Packt Publishing Ltd. This book was released on 2015-10-23 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Use PyCharm with fluid efficiency to write idiomatic python code About This Book Understand how PyCharm works and how you can leverage its strength to develop applications quickly Master PyCharm's editor to get a fast workflow Full of examples and illustrations that focus on the practical aspects of using PyCharm Who This Book Is For If you know PyCharm but want to understand it better and leverage its more powerful but less obvious tool set, this is the book for you. Serving as a launch pad for those who want to master PyCharm and completely harness its best features, it would be helpful if you were familiar with some of Python's most prominent tools such as virtualenv and Python's popular docstring formats such as reStructuredText and EpyType. What You Will Learn Understand the internal workings of the IntelliJ Platform Leverage PyCharm's powerful search tools, and learn which ones are the best for you and your workflow Customize PyCharm's enhanced Python interpreter and its inbuilt terminal Develop web applications quickly and easily with different frameworks such as Flask and Django Understand how code completion works in PyCharm for Python and JavaScript In Detail PyCharm is addictive, with powerful and configurable code completion, superb editing tools, top-notch support, diverse plugins, and a vibrant ecosystem to boot. Learning how PyCharm works and maximising the synergy of its powerful tools will help you to rapidly develop applications. From leveraging the power of the editor to understanding PyCharm's internals, this book will give you a comprehensive view of PyCharm and allow you to make your own choices about which workflow and tools are best for you. You will start by getting comfortable with PyCharm and making it look exactly like you want. You can customize the tools and taskbars to suit individual developers' coding styles. You also learn how to assign keyboard shortcuts. You will master debugging by inserting breakpoints, collecting runtime data, and debugging from the console. You will understand how PyCharm works underneath and how plugins such as Codemap, Vim, Bitbucket, Assets compressor, markdown, bash file, shortcut translator, and .gitignore leverage the power of the IntelliJ platform. You will become comfortable using the VCS interface in PyCharm and see the benefits of using it for some simple tasks as well as some more complex tasks such as partial commits using changelists. You will take an in-depth look at the various tools in PyCharm, improving your workflow drastically. Finally, you will deploy powerful PyCharm tools for Django, Flask, GAE, and Pyramid Development, becoming well acquainted with PyCharm's toolset for web development with popular platforms. Packed with insider tricks, this book will help you boost productivity with PyCharm. Style and approach An easy-to-follow guide with plenty of examples and screenshots. Each topic starts off with the goal of enhancing or changing a part of PyCharm to make it suit your needs.

Download or read book Mastering OpenTelemetry and Observability written by Steve Flanders and published by John Wiley & Sons. This book was released on 2024-10-22 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: Discover the power of open source observability for your enterprise environment In Mastering Observability and OpenTelemetry: Enhancing Application and Infrastructure Performance and Avoiding Outages, accomplished engineering leader and open source contributor Steve Flanders unlocks the secrets of enterprise application observability with a comprehensive guide to OpenTelemetry (OTel). Explore how OTel transforms observability, providing a robust toolkit for capturing and analyzing telemetry data across your environment. You will learn how OTel delivers unmatched flexibility, extensibility, and vendor neutrality, freeing you from vendor lock-in and enabling data sovereignty and portability. You will also discover: Comprehensive coverage of observability issues and technology: Dive deep into the world of observability and gain a comprehensive understanding of observability fundamentals with practical insights and real-world use cases. Practical guidance: From instrumentation techniques to advanced tracing strategies, gain the skills needed to create highly observable systems. Learn how to deploy and configure OTel, even in challenging brownfield environments, with step-by-step instructions and hands-on exercises. An opportunity for community contributions and communication: Join the OTel community, including end-users, vendors, and cloud providers, and shape the future of observability while connecting with experts and peers. Whether you are a novice or a seasoned professional, Mastering Observability and OpenTelemetry is your roadmap to troubleshooting availability and performance problems by learning to detect anomalies, interpret data, and proactively optimize performance in your enterprise environment. Embark on your journey to observability mastery today!

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.

Download or read book Mastering Apache Storm written by Ankit Jain and published by Packt Publishing Ltd. This book was released on 2017-08-16 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the intricacies of Apache Storm and develop real-time stream processing applications with ease About This Book Exploit the various real-time processing functionalities offered by Apache Storm such as parallelism, data partitioning, and more Integrate Storm with other Big Data technologies like Hadoop, HBase, and Apache Kafka An easy-to-understand guide to effortlessly create distributed applications with Storm Who This Book Is For If you are a Java developer who wants to enter into the world of real-time stream processing applications using Apache Storm, then this book is for you. No previous experience in Storm is required as this book starts from the basics. After finishing this book, you will be able to develop not-so-complex Storm applications. What You Will Learn Understand the core concepts of Apache Storm and real-time processing Follow the steps to deploy multiple nodes of Storm Cluster Create Trident topologies to support various message-processing semantics Make your cluster sharing effective using Storm scheduling Integrate Apache Storm with other Big Data technologies such as Hadoop, HBase, Kafka, and more Monitor the health of your Storm cluster In Detail Apache Storm is a real-time Big Data processing framework that processes large amounts of data reliably, guaranteeing that every message will be processed. Storm allows you to scale your data as it grows, making it an excellent platform to solve your big data problems. This extensive guide will help you understand right from the basics to the advanced topics of Storm. The book begins with a detailed introduction to real-time processing and where Storm fits in to solve these problems. You'll get an understanding of deploying Storm on clusters by writing a basic Storm Hello World example. Next we'll introduce you to Trident and you'll get a clear understanding of how you can develop and deploy a trident topology. We cover topics such as monitoring, Storm Parallelism, scheduler and log processing, in a very easy to understand manner. You will also learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm. With real-world examples and clear explanations, this book will ensure you will have a thorough mastery of Apache Storm. You will be able to use this knowledge to develop efficient, distributed real-time applications to cater to your business needs. Style and approach This easy-to-follow guide is full of examples and real-world applications to help you get an in-depth understanding of Apache Storm. This book covers the basics thoroughly and also delves into the intermediate and slightly advanced concepts of application development with Apache Storm.

Download or read book Mastering Apache Kafka written by Cybellium Ltd and published by Cybellium Ltd. This book was released on 2023-09-26 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Power of Distributed Streaming Platform for Real-Time Data Are you ready to delve into the realm of distributed streaming and real-time data processing with Apache Kafka? "Mastering Apache Kafka" is your definitive guide to harnessing the full potential of this cutting-edge platform for building scalable, fault-tolerant, and high-performance data pipelines. Whether you're a data engineer looking to optimize data flows or a software architect aiming to build robust event-driven systems, this book equips you with the knowledge and tools to master the art of Kafka-based data streaming. Key Features: 1. Deep Dive into Apache Kafka: Immerse yourself in the core principles of Apache Kafka, comprehending its architecture, components, and dynamic capabilities. Construct a sturdy foundation that empowers you to manage and process real-time data streams with precision. 2. Installation and Configuration: Master the art of installing and configuring Apache Kafka on diverse platforms. Learn about cluster setup, topic creation, and configuration tuning for optimal performance. 3. Publishing and Consuming Data: Uncover the power of Kafka for publishing and consuming data streams. Explore producer and consumer APIs, message serialization, and different messaging patterns for building resilient data pipelines. 4. Data Streams and Processing: Delve into Kafka Streams for real-time data processing. Learn how to perform transformations, aggregations, and enrichments on data streams without the need for external processing engines. 5. Fault Tolerance and Scalability: Master Kafka's inherent fault tolerance and scalability features. Explore replication, partitioning, and high availability mechanisms that ensure data integrity and system reliability. 6. Connectors and Ecosystem: Explore Kafka's rich ecosystem of connectors and integrations. Learn how to connect Kafka with databases, cloud services, and other systems to facilitate seamless data exchange. 7. Security and Authentication: Discover strategies for securing your Kafka cluster. Learn about encryption, access controls, authentication mechanisms, and best practices to safeguard your data streams. 8. Monitoring and Management: Uncover techniques for monitoring and managing Kafka clusters. Explore tools for tracking performance metrics, diagnosing issues, and ensuring optimal system health. 9. Event Sourcing and Stream Processing Architectures: Embark on a journey into event-driven architectures and stream processing. Learn how Kafka can serve as the backbone for building scalable and responsive systems. 10. Real-World Applications: Gain insights into real-world use cases of Apache Kafka across industries. From IoT data integration to real-time analytics, discover how organizations leverage Kafka for innovative data-driven solutions. Who This Book Is For: "Mastering Apache Kafka" is an indispensable resource for data engineers, software architects, and IT professionals poised to excel in the domain of real-time data streaming with Kafka. Whether you're new to Kafka or seeking advanced techniques, this book will guide you through the intricacies and empower you to harness the full potential of this transformative platform.

Download or read book Data Management and Analytics for Medicine and Healthcare written by Edmon Begoli and published by Springer. This book was released on 2017-08-25 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed conference proceedings of the Third International Workshop on Data Management and Analytics for Medicine and Healthcare, DMAH 2017, in Munich, Germany, in September 2017, held in conjunction with the 43rd International Conference on Very Large Data Bases, VLDB 2017. The 9 revised full papers presented together with 2 keynote abstracts were carefully reviewed and selected from 16 initial submissions. The papers are organized in topical sections on data privacy and trustability for electronic health records; biomedical data management and Integration; online mining of Health related data; and clinical data analytics.