Streaming Intelligence Mastering Stream Processing For Real Time Data Analysis

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Stream Processing Unleashed Real Time Analytics For The Modern Era

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Author : Mrs.V.Suganthi
language : en
Publisher: Leilani Katie Publication
Release Date : 2024-08-27

Stream Processing Unleashed Real Time Analytics For The Modern Era written by Mrs.V.Suganthi and has been published by Leilani Katie Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-27 with Computers categories.

Mrs.V.Suganthi, Assistant Professor, Department of Computer Science, C.T.T.E College for Women, Chennai,Tamil Nadu, India. Mr.Z.Harith Ahamed, Assistant Professor, Department of Computer Science, Jamal Mohamed College (Autonomous), Tiruchirappalli, Tamil Nadu, India. Dr.T.Shiek Pareeth, Assistant Professor, Department of Mathematics, Jamal Mohamed College (Autonomous), Tiruchirappalli, Tamil Nadu, India. Mrs.P.Indumathi, Assistant Professor, Department of Computer Science with Data Analytics, Kongunadu Arts and Science College, Coimbatore, Tamil Nadu, India. Mrs.S.Nandhinieswari, Assistant Professor, Department of Computer Science, Sri Ramakrishna Arts and Science College For Women, Coimbatore, Tamil Nadu, India.

Mastering Real Time Analytics In Big Data A Comprehensive Guide For Everyone

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Author : Lennox Mark
language : en
Publisher: Sunshine
Release Date : 2023-12-02

Mastering Real Time Analytics In Big Data A Comprehensive Guide For Everyone written by Lennox Mark and has been published by Sunshine this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-02 with categories.

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.

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.

Maynard S Industrial And Systems Engineering Handbook Sixth Edition

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Author : Bopaya Bidanda
language : en
Publisher: McGraw Hill Professional
Release Date : 2022-09-16

Maynard S Industrial And Systems Engineering Handbook Sixth Edition written by Bopaya Bidanda and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-16 with Technology & Engineering categories.

The classic industrial engineering resource—fully updated for the latest advances Brought fully up to date by expert Bopaya M. Bidanda, this go-to handbook contains exhaustive, application-driven coverage of Industrial Engineering (IE) principles, practices, materials, and systems. Featuring contributions from scores of international professionals in the field, Maynard’s Industrial Engineering Handbook, Sixth Edition provides a holistic view of exactly what an Industrial Engineer in today’s world needs to succeed. All-new chapters and sections cover logistics, probability and statistics, supply chains, quality, product design, systems engineering, and engineering management. Coverage includes: Productivity Engineering economics Human factors, ergonomics, and safety Compensation management Facility logistics Planning and scheduling Operations research Statistics and probability Supply chains and quality Product design Manufacturing models and analysis Systems engineering Engineering management The global Industrial Engineer IE application environments

Forthcoming Books

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Author : Rose Arny
language : en
Publisher:
Release Date : 2001

Forthcoming Books written by Rose Arny and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with American literature categories.

Dissertation Abstracts International

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Author :
language : en
Publisher:
Release Date : 1998

Dissertation Abstracts International written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998 with Dissertations, Academic categories.

Britannica Book Of The Year

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Author : Franklin Henry Hooper
language : en
Publisher:
Release Date : 2016

Britannica Book Of The Year written by Franklin Henry Hooper and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016 with Encyclopedias and dictionaries categories.

Computer Book Review

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Author :
language : en
Publisher:
Release Date : 1989

Computer Book Review written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1989 with Computers categories.

Apache Spark 2 Data Processing And Real Time Analytics

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Author : Romeo Kienzler
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-12-21

Apache Spark 2 Data Processing And Real Time Analytics written by Romeo Kienzler 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 2018-12-21 with Computers categories.

Build efficient data flow and machine learning programs with this flexible, multi-functional open-source cluster-computing framework Key FeaturesMaster the art of real-time big data processing and machine learning Explore a wide range of use-cases to analyze large data Discover ways to optimize your work by using many features of Spark 2.x and ScalaBook Description Apache Spark is an in-memory, cluster-based data processing system that provides a wide range of functionalities such as big data processing, analytics, machine learning, and more. With this Learning Path, you can take your knowledge of Apache Spark to the next level by learning how to expand Spark's functionality and building your own data flow and machine learning programs on this platform. You will work with the different modules in Apache Spark, such as interactive querying with Spark SQL, using DataFrames and datasets, implementing streaming analytics with Spark Streaming, and applying machine learning and deep learning techniques on Spark using MLlib and various external tools. By the end of this elaborately designed Learning Path, you will have all the knowledge you need to master Apache Spark, and build your own big data processing and analytics pipeline quickly and without any hassle. This Learning Path includes content from the following Packt products: Mastering Apache Spark 2.x by Romeo KienzlerScala and Spark for Big Data Analytics by Md. Rezaul Karim, Sridhar AllaApache Spark 2.x Machine Learning Cookbook by Siamak Amirghodsi, Meenakshi Rajendran, Broderick Hall, Shuen MeiCookbookWhat you will learnGet to grips with all the features of Apache Spark 2.xPerform highly optimized real-time big data processing Use ML and DL techniques with Spark MLlib and third-party toolsAnalyze structured and unstructured data using SparkSQL and GraphXUnderstand tuning, debugging, and monitoring of big data applications Build scalable and fault-tolerant streaming applications Develop scalable recommendation enginesWho this book is for If you are an intermediate-level Spark developer looking to master the advanced capabilities and use-cases of Apache Spark 2.x, this Learning Path is ideal for you. Big data professionals who want to learn how to integrate and use the features of Apache Spark and build a strong big data pipeline will also find this Learning Path useful. To grasp the concepts explained in this Learning Path, you must know the fundamentals of Apache Spark and Scala.

Petroleum Abstracts

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Author :
language : en
Publisher:
Release Date : 1991

Petroleum Abstracts written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991 with Petroleum categories.