Mastering Apache Flink

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Mastering Apache Flink

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Author : Cybellium
language : en
Publisher: Cybellium Ltd
Release Date : 2023-09-26

Mastering Apache Flink written by Cybellium and has been published by Cybellium Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-09-26 with Computers categories.

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.

Mastering Hadoop 3

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Author : Chanchal Singh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-02-28

Mastering Hadoop 3 written by Chanchal Singh and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-28 with Computers categories.

A comprehensive guide to mastering the most advanced Hadoop 3 concepts Key FeaturesGet to grips with the newly introduced features and capabilities of Hadoop 3Crunch and process data using MapReduce, YARN, and a host of tools within the Hadoop ecosystemSharpen your Hadoop skills with real-world case studies and codeBook Description Apache Hadoop is one of the most popular big data solutions for distributed storage and for processing large chunks of data. With Hadoop 3, Apache promises to provide a high-performance, more fault-tolerant, and highly efficient big data processing platform, with a focus on improved scalability and increased efficiency. With this guide, you’ll understand advanced concepts of the Hadoop ecosystem tool. You’ll learn how Hadoop works internally, study advanced concepts of different ecosystem tools, discover solutions to real-world use cases, and understand how to secure your cluster. It will then walk you through HDFS, YARN, MapReduce, and Hadoop 3 concepts. You’ll be able to address common challenges like using Kafka efficiently, designing low latency, reliable message delivery Kafka systems, and handling high data volumes. As you advance, you’ll discover how to address major challenges when building an enterprise-grade messaging system, and how to use different stream processing systems along with Kafka to fulfil your enterprise goals. By the end of this book, you’ll have a complete understanding of how components in the Hadoop ecosystem are effectively integrated to implement a fast and reliable data pipeline, and you’ll be equipped to tackle a range of real-world problems in data pipelines. What you will learnGain an in-depth understanding of distributed computing using Hadoop 3Develop enterprise-grade applications using Apache Spark, Flink, and moreBuild scalable and high-performance Hadoop data pipelines with security, monitoring, and data governanceExplore batch data processing patterns and how to model data in HadoopMaster best practices for enterprises using, or planning to use, Hadoop 3 as a data platformUnderstand security aspects of Hadoop, including authorization and authenticationWho this book is for If you want to become a big data professional by mastering the advanced concepts of Hadoop, this book is for you. You’ll also find this book useful if you’re a Hadoop professional looking to strengthen your knowledge of the Hadoop ecosystem. Fundamental knowledge of the Java programming language and basics of Hadoop is necessary to get started with this book.

Mastering Real Time Analytics With Apache Flink

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Author : Nova Trex
language : en
Publisher: Independently Published
Release Date : 2024-12-21

Mastering Real Time Analytics With Apache Flink written by Nova Trex and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-21 with Computers categories.

"Mastering Real-Time Analytics with Apache Flink: Comprehensive Techniques for Stream and Batch Processing" is an essential resource for those seeking to excel in modern data processing methodologies. In today's data-driven world, the need for real-time analytics is paramount, and Apache Flink emerges as a key technology facilitating these capabilities through its robust stream and batch processing functionalities. This book guides readers through the complete journey of mastering Flink, starting from environment setup to the exploration of its versatile APIs and complex architecture, ensuring a deep understanding from foundational concepts to sophisticated implementations. Designed for both novices and seasoned practitioners, it covers critical aspects such as state management, fault tolerance, and advanced Flink features like Complex Event Processing (CEP) and Flink SQL. The content is meticulously organized, with each chapter building upon the previous, incorporating real-world scenarios and hands-on exercises to reinforce learning. Additionally, the book addresses performance optimization and best practices pivotal for deploying Flink solutions efficiently in real-time environments. Emphasizing clarity and usability, this guide empowers readers with the expertise to harness Apache Flink for transformative data analytics applications.

Python Natural Language Processing

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Author : Jalaj Thanaki
language : en
Publisher: Packt Publishing Ltd
Release Date : 2017-07-31

Python Natural Language Processing written by Jalaj Thanaki and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-07-31 with Computers categories.

Leverage the power of machine learning and deep learning to extract information from text data About This Book Implement Machine Learning and Deep Learning techniques for efficient natural language processing Get started with NLTK and implement NLP in your applications with ease Understand and interpret human languages with the power of text analysis via Python Who This Book Is For This book is intended for Python developers who wish to start with natural language processing and want to make their applications smarter by implementing NLP in them. What You Will Learn Focus on Python programming paradigms, which are used to develop NLP applications Understand corpus analysis and different types of data attribute. Learn NLP using Python libraries such as NLTK, Polyglot, SpaCy, Standford CoreNLP and so on Learn about Features Extraction and Feature selection as part of Features Engineering. Explore the advantages of vectorization in Deep Learning. Get a better understanding of the architecture of a rule-based system. Optimize and fine-tune Supervised and Unsupervised Machine Learning algorithms for NLP problems. Identify Deep Learning techniques for Natural Language Processing and Natural Language Generation problems. In Detail This book starts off by laying the foundation for Natural Language Processing and why Python is one of the best options to build an NLP-based expert system with advantages such as Community support, availability of frameworks and so on. Later it gives you a better understanding of available free forms of corpus and different types of dataset. After this, you will know how to choose a dataset for natural language processing applications and find the right NLP techniques to process sentences in datasets and understand their structure. You will also learn how to tokenize different parts of sentences and ways to analyze them. During the course of the book, you will explore the semantic as well as syntactic analysis of text. You will understand how to solve various ambiguities in processing human language and will come across various scenarios while performing text analysis. You will learn the very basics of getting the environment ready for natural language processing, move on to the initial setup, and then quickly understand sentences and language parts. You will learn the power of Machine Learning and Deep Learning to extract information from text data. By the end of the book, you will have a clear understanding of natural language processing and will have worked on multiple examples that implement NLP in the real world. Style and approach This book teaches the readers various aspects of natural language Processing using NLTK. It takes the reader from the basic to advance level in a smooth way.

Data Pioneers Unlocking Big Data Engineering Potential

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Author : Ravi Kumar Burila
language : en
Publisher: Libertatem Media Private Limited
Release Date : 2024-06-19

Data Pioneers Unlocking Big Data Engineering Potential written by Ravi Kumar Burila and has been published by Libertatem Media Private Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-19 with Business & Economics categories.

The era of big data has revolutionized industries, but navigating its complexities requires a deep understanding of engineering principles and cutting-edge tools. Data Pioneers: Unlocking Big Data Engineering Potential serves as a comprehensive guide for data engineers and IT professionals eager to master the art and science of big data systems. This book covers the evolution of big data, emphasizing core concepts like structured, semi-structured, and unstructured data while introducing readers to essential frameworks, including Hadoop, Apache Spark, and Delta Lake. Dive into the design and architecture of scalable pipelines, comparing batch and real- time processing, and learn how to harness tools like Kafka, Airflow, and NiFi to orchestrate seamless data flows. Beyond the technical, the book addresses vital aspects like data quality, governance, and security, offering strategies to ensure data accuracy, lineage, and compliance. From integrating data across APIs, databases, and sensors to leveraging cloud-native architectures for scalability, this guide equips readers with the knowledge to optimize every aspect of their data ecosystems. With practical insights, advanced analytics techniques, and real-world case studies, Data Pioneers delves into performance optimization, resource management, and the future of big data, exploring trends like AI integration and data fabric concepts. Whether you ’ re a seasoned engineer or new to the field, this book provides a roadmap to unlocking the full potential of big data engineering, driving innovation, and achieving sustainable growth in today’s data- driven world.

Aeta 2017 Recent Advances In Electrical Engineering And Related Sciences Theory And Application

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Author : Vo Hoang Duy
language : en
Publisher: Springer
Release Date : 2017-11-10

Aeta 2017 Recent Advances In Electrical Engineering And Related Sciences Theory And Application written by Vo Hoang Duy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-10 with Technology & Engineering categories.

This proceedings book gathers papers presented at the 4th International Conference on Advanced Engineering Theory and Applications 2017 (AETA 2017), held on 7–9 December 2017 at Ton Duc Thang University, Ho Chi Minh City, Vietnam. It presents selected papers on 13 topical areas, including robotics, control systems, telecommunications, computer science and more. All selected papers represent interesting ideas and collectively provide a state-of-the-art overview. Readers will find intriguing papers on the design and implementation of control algorithms for aerial and underwater robots, for mechanical systems, efficient protocols for vehicular ad hoc networks, motor control, image and signal processing, energy saving, optimization methods in various fields of electrical engineering, and others. The book also offers a valuable resource for practitioners who want to apply the content discussed to solve real-life problems in their challenging applications. It also addresses common and related subjects in modern electric, electronic and related technologies. As such, it will benefit all scientists and engineers working in the above-mentioned fields of application.

Big Data Analytics

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Author : Dr. N. Bharathi, SVNN Mahesh Duriseati, Dr. Divvela Srinivasa Rao, J.Rohini
language : en
Publisher: BR Publications
Release Date : 2025-10-27

Big Data Analytics written by Dr. N. Bharathi, SVNN Mahesh Duriseati, Dr. Divvela Srinivasa Rao, J.Rohini and has been published by BR Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-27 with Computers categories.

Big Data Analytics is the process of examining large, complex, and rapidly growing datasets—called big data—to uncover hidden patterns, trends, correlations, and useful insights. These datasets are too large or fast-changing to be processed using traditional data analysis tools. Big Data Analytics uses advanced techniques such as machine learning, data mining, statistical analysis, and predictive modeling to extract meaningful information that supports decision-making.

Encyclopedia Of Information Science And Technology Fifth Edition

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Author : Khosrow-Pour D.B.A., Mehdi
language : en
Publisher: IGI Global
Release Date : 2020-07-24

Encyclopedia Of Information Science And Technology Fifth Edition written by Khosrow-Pour D.B.A., Mehdi and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-24 with Computers categories.

The rise of intelligence and computation within technology has created an eruption of potential applications in numerous professional industries. Techniques such as data analysis, cloud computing, machine learning, and others have altered the traditional processes of various disciplines including healthcare, economics, transportation, and politics. Information technology in today’s world is beginning to uncover opportunities for experts in these fields that they are not yet aware of. The exposure of specific instances in which these devices are being implemented will assist other specialists in how to successfully utilize these transformative tools with the appropriate amount of discretion, safety, and awareness. Considering the level of diverse uses and practices throughout the globe, the fifth edition of the Encyclopedia of Information Science and Technology series continues the enduring legacy set forth by its predecessors as a premier reference that contributes the most cutting-edge concepts and methodologies to the research community. The Encyclopedia of Information Science and Technology, Fifth Edition is a three-volume set that includes 136 original and previously unpublished research chapters that present multidisciplinary research and expert insights into new methods and processes for understanding modern technological tools and their applications as well as emerging theories and ethical controversies surrounding the field of information science. Highlighting a wide range of topics such as natural language processing, decision support systems, and electronic government, this book offers strategies for implementing smart devices and analytics into various professional disciplines. The techniques discussed in this publication are ideal for IT professionals, developers, computer scientists, practitioners, managers, policymakers, engineers, data analysts, and programmers seeking to understand the latest developments within this field and who are looking to apply new tools and policies in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to software engineering, cybersecurity, information technology, media and communications, urban planning, computer science, healthcare, economics, environmental science, data management, and political science will benefit from the extensive knowledge compiled within this publication.

Mastering Apache Flink

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Author : Tanmay Deshpande
language : en
Publisher:
Release Date : 2017-02-28

Mastering Apache Flink written by Tanmay Deshpande and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-02-28 with categories.

Definitive guide to lightning fast data processing for distributed systems with Apache FlinkAbout This Book* Build your experitse in processing realtime data with Apache Flink and its ecosystem* Gain insights into the working of all components of Apache Flink such as FlinkML, Gelly, and Table APIFilled with real world use cases,* Your guide to take advantage of Apache Flink for solving real world problemsWho This Book Is ForBig data developers who are looking to process batch and real-time data on distributed systems. Basic knowledge of Hadoop and big data is assumed. Reasonable knowledge of Java or Scala is expected.What You Will Learn* Learn how to build end to end real time analytics projects* Integrate with existing big data stack and utilize existing infrastructure.* Build predictive analytics applications using FlinkML* Use graph library to perform graph querying and search.In DetailWith the advent of massive computer systems, organizations in different domains generate large amounts of data at a realtime basis. The latest entrant to big data processing, Apache Flink, is designed to process continuous streams of data at a lightning fast pace.This book will be your definitive guide to batch and stream data processing with Apache Flink. The book begins with introducing the Apache Flink ecosystem, setting it up and using the DataSet and DataStream API for processing batch and streaming datasets. Bringing the power of SQL to Flink, this book will then explore the Table API for querying and manipulating data. In the latter half of the book, readers will get to learn the remaining ecosystem of Apache Flink to achieve complex tasks such as event processing, machine learning, and graph processing. The final part of the book would consist of topics such as scaling Flink solutions, performance optimization and integrating Flink with other tools such as ElasticSearch.Whether you want to dive deeper into Apache Flink, or want to investigate how to get more out of this powerful technology, you'll find everything inside

Mastering Real Time Pipelines

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Author : KAELEN. BUSH
language : en
Publisher: Independently Published
Release Date : 2025-03-20

Mastering Real Time Pipelines written by KAELEN. BUSH and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-20 with Self-Help categories.

Mastering Real-Time pipelines; Build fast, scalable systems with Apache spark, kafka and flink Hands-On Real-Time Data Analytics Low-Latency Pipelines with Spark, Kafka, and Flink is a comprehensive, practical guide designed to help you master the art of real-time data processing using three of the most powerful open-source tools-Apache Spark, Apache Kafka, and Apache Flink. Whether you're an experienced data engineer or a beginner looking to dive into real-time analytics, this book offers clear explanations, hands-on examples, and advanced optimization techniques to build fast, scalable, and fault-tolerant data pipelines. In today's fast-paced digital landscape, businesses generate enormous amounts of data every second. Traditional batch processing is no longer sufficient-modern systems demand instant insights to power everything from fraud detection and personalized recommendations to system monitoring and IoT applications. This book equips you with the skills to design and implement real-time data workflows that deliver actionable intelligence with minimal latency. What You Will Learn: 1. Fundamentals of Real-Time Data Processing: Understand the core principles behind event streaming and how real-time analytics differs from traditional batch systems. 2. Master Apache Kafka: Learn to set up, configure, and optimize Kafka for high-throughput, durable, and scalable data ingestion 3. Implement Spark Structured Streaming: Build efficient, micro-batch and continuous applications to transform and analyze streaming data. 4. Leverage Apache Flink for Stateful Processing: Dive deep into Flink's advanced event-time handling, windowing, and exactly-once guarantees. 5. End-to-End Pipeline Design: Learn how to integrate Kafka, Spark, and Flink to create robust, real-time data workflows. 6. Performance Tuning & Optimization: Apply advanced techniques to reduce latency, increase throughput, and ensure fault tolerance. 7. Real-World Use Cases: Explore practical examples of real-time fraud detection, monitoring, and machine learning integration. 8. Monitoring and Debugging: Use tools like Prometheus and Grafana to track performance and diagnose issues in real time. Why This Book? Practical and Hands-On: Includes detailed code examples and real-world case studies. Comprehensive Coverage: Covers everything from foundational concepts to advanced optimizations. Future-Proof Knowledge: Stay ahead by learning cutting-edge technologies and industry best practices. Simplified Explanations: Complex topics are broken down into easy-to-understand language, making this book accessible for all skill levels. Whether you're building pipelines for real-time analytics, optimizing existing workflows, or preparing for the future of streaming data, "Mastering Real-time data pipelines" provides you with the knowledge and tools to succeed in the evolving data landscape. About the Author Kaelen Bush is a data engineering expert with a passion for building scalable real-time systems. With years of experience in distributed computing, Kaelen specializes in simplifying complex technologies and helping others harness the power of big data.