Streaming Databases

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Streaming Databases

Author : Hubert Dulay
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098154797
Total Pages : 274 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Streaming Databases by : Hubert Dulay

Download or read book Streaming Databases written by Hubert Dulay and published by "O'Reilly Media, Inc.". This book was released on 2024-08-08 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming databases to build real-time solutions. Authors Hubert Dulay and Ralph M. Debusmann take you through streaming database fundamentals, including how these databases reduce infrastructure for real-time solutions. You'll learn the difference between streaming databases, stream processing, and real-time online analytical processing (OLAP) databases. And you'll discover when to use push queries versus pull queries, and how to serve synchronous and asynchronous data emanating from streaming databases. This guide helps you: Explore stream processing and streaming databases Learn how to build a real-time solution with a streaming database Understand how to construct materialized views from any number of streams Learn how to serve synchronous and asynchronous data Get started building low-complexity streaming solutions with minimal setup

Streaming Data

Author : Andrew Psaltis
Publisher : Simon and Schuster
ISBN 13 : 1638357242
Total Pages : 314 pages
Book Rating : 4.6/5 (383 download)

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Book Synopsis Streaming Data by : Andrew Psaltis

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

Data Mining In Time Series And Streaming Databases

Author : Mark Last
Publisher : World Scientific
ISBN 13 : 9813228059
Total Pages : 196 pages
Book Rating : 4.8/5 (132 download)

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Book Synopsis Data Mining In Time Series And Streaming Databases by : Mark Last

Download or read book Data Mining In Time Series And Streaming Databases written by Mark Last and published by World Scientific. This book was released on 2018-01-12 with total page 196 pages. Available in PDF, EPUB and Kindle. Book excerpt: This compendium is a completely revised version of an earlier book, Data Mining in Time Series Databases, by the same editors. It provides a unique collection of new articles written by leading experts that account for the latest developments in the field of time series and data stream mining.The emerging topics covered by the book include weightless neural modeling for mining data streams, using ensemble classifiers for imbalanced and evolving data streams, document stream mining with active learning, and many more. In particular, it addresses the domain of streaming data, which has recently become one of the emerging topics in Data Science, Big Data, and related areas. Existing titles do not provide sufficient information on this topic.

Advances in Spatial and Temporal Databases

Author : Thanasis Hadzilacos
Publisher : Springer Science & Business Media
ISBN 13 : 3540405356
Total Pages : 541 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis Advances in Spatial and Temporal Databases by : Thanasis Hadzilacos

Download or read book Advances in Spatial and Temporal Databases written by Thanasis Hadzilacos and published by Springer Science & Business Media. This book was released on 2003-07-09 with total page 541 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 8th International Symposium on Spatial and Temporal Databases, SSTD 2003, held at Santorini Island, Greece in July 2003. The 28 revised full papers presented together with a keynote paper were carefully reviewed and selected from 105 submissions. the papers are organized in topical sections on access methods, advanced query processing, data mining and data warehousing, distance-based queries, mobility and moving points management, modeling and languages, similarity processing, systems and implementation issues.

Data Stream Management

Author : Lukasz Golab
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1608452727
Total Pages : 65 pages
Book Rating : 4.6/5 (84 download)

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Book Synopsis Data Stream Management by : Lukasz Golab

Download or read book Data Stream Management written by Lukasz Golab and published by Morgan & Claypool Publishers. This book was released on 2010 with total page 65 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this lecture many applications process high volumes of streaming data, among them Internet traffic analysis, financial tickers, and transaction log mining. In general, a data stream is an unbounded data set that is produced incrementally over time, rather than being available in full before its processing begins. In this lecture, we give an overview of recent research in stream processing, ranging from answering simple queries on high-speed streams to loading real-time data feeds into a streaming warehouse for off-line analysis. We will discuss two types of systems for end-to-end stream processing: Data Stream Management Systems (DSMSs) and Streaming Data Warehouses (SDWs). A traditional database management system typically processes a stream of ad-hoc queries over relatively static data. In contrast, a DSMS evaluates static (long-running) queries on streaming data, making a single pass over the data and using limited working memory. In the first part of this lecture, we will discuss research problems in DSMSs, such as continuous query languages, non-blocking query operators that continually react to new data, and continuous query optimization. The second part covers SDWs, which combine the real-time response of a DSMS by loading new data as soon as they arrive with a data warehouse's ability to manage Terabytes of historical data on secondary storage. Table of Contents: Introduction / Data Stream Management Systems / Streaming Data Warehouses / Conclusions

Stream Data Management

Author : Nauman Chaudhry
Publisher : Springer Science & Business Media
ISBN 13 : 0387252290
Total Pages : 179 pages
Book Rating : 4.3/5 (872 download)

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Book Synopsis Stream Data Management by : Nauman Chaudhry

Download or read book Stream Data Management written by Nauman Chaudhry and published by Springer Science & Business Media. This book was released on 2005-09-19 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: Researchers in data management have recently recognized the importance of a new class of data-intensive applications that requires managing data streams, i.e., data composed of continuous, real-time sequence of items. Streaming applications pose new and interesting challenges for data management systems. Such application domains require queries to be evaluated continuously as opposed to the one time evaluation of a query for traditional applications. Streaming data sets grow continuously and queries must be evaluated on such unbounded data sets. These, as well as other challenges, require a major rethink of almost all aspects of traditional database management systems to support streaming applications. Stream Data Management comprises eight invited chapters by researchers active in stream data management. The collected chapters provide exposition of algorithms, languages, as well as systems proposed and implemented for managing streaming data. Stream Data Management is designed to appeal to researchers or practitioners already involved in stream data management, as well as to those starting out in this area. This book is also suitable for graduate students in computer science interested in learning about stream data management.

Data Mining in Time Series Databases

Author : Abraham Kandel
Publisher : World Scientific
ISBN 13 : 981256540X
Total Pages : 205 pages
Book Rating : 4.8/5 (125 download)

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Book Synopsis Data Mining in Time Series Databases by : Abraham Kandel

Download or read book Data Mining in Time Series Databases written by Abraham Kandel and published by World Scientific. This book was released on 2004 with total page 205 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adding the time dimension to real-world databases produces Time SeriesDatabases (TSDB) and introduces new aspects and difficulties to datamining and knowledge discovery. This book covers the state-of-the-artmethodology for mining time series databases. The novel data miningmethods presented in the book include techniques for efficientsegmentation, indexing, and classification of noisy and dynamic timeseries. A graph-based method for anomaly detection in time series isdescribed and the book also studies the implications of a novel andpotentially useful representation of time series as strings. Theproblem of detecting changes in data mining models that are inducedfrom temporal databases is additionally discussed.

Streaming Databases

Author : Hubert Dulay
Publisher :
ISBN 13 : 9781098154837
Total Pages : 0 pages
Book Rating : 4.1/5 (548 download)

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Book Synopsis Streaming Databases by : Hubert Dulay

Download or read book Streaming Databases written by Hubert Dulay and published by . This book was released on 2024-10 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming databases to build real-time solutions. Authors Hubert Dulay and Ralph M. Debusmann take you through streaming database fundamentals, including how these databases reduce infrastructure for real-time solutions. You'll learn the difference between streaming databases, stream processing, and real-time online analytical processing (OLAP) databases. And you'll discover when to use push queries versus pull queries, and how to serve synchronous and asynchronous data emanating from streaming databases. This guide helps you: Explore stream processing and streaming databases Learn how to build a real-time solution with a streaming database Understand how to construct materialized views from any number of streams Learn how to serve synchronous and asynchronous data Get started building low-complexity streaming solutions with minimal setup

The World Book Encyclopedia

Author :
Publisher :
ISBN 13 :
Total Pages : 554 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis The World Book Encyclopedia by :

Download or read book The World Book Encyclopedia written by and published by . This book was released on 2002 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: An encyclopedia designed especially to meet the needs of elementary, junior high, and senior high school students.

Streaming Databases

Author : Hubert Dulay
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098154800
Total Pages : 260 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Streaming Databases by : Hubert Dulay

Download or read book Streaming Databases written by Hubert Dulay and published by "O'Reilly Media, Inc.". This book was released on 2024-08-08 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: Real-time applications are becoming the norm today. But building a model that works properly requires real-time data from the source, in-flight stream processing, and low latency serving of its analytics. With this practical book, data engineers, data architects, and data analysts will learn how to use streaming databases to build real-time solutions. Authors Hubert Dulay and Ralph M. Debusmann take you through streaming database fundamentals, including how these databases reduce infrastructure for real-time solutions. You'll learn the difference between streaming databases, stream processing, and real-time online analytical processing (OLAP) databases. And you'll discover when to use push queries versus pull queries, and how to serve synchronous and asynchronous data emanating from streaming databases. This guide helps you: Explore stream processing and streaming databases Learn how to build a real-time solution with a streaming database Understand how to construct materialized views from any number of streams Learn how to serve synchronous and asynchronous data Get started building low-complexity streaming solutions with minimal setup

Advances in Spatial and Temporal Databases

Author :
Publisher :
ISBN 13 :
Total Pages : 556 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Advances in Spatial and Temporal Databases by :

Download or read book Advances in Spatial and Temporal Databases written by and published by . This book was released on 2003 with total page 556 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Fundamentals of Stream Processing

Author : Henrique C. M. Andrade
Publisher : Cambridge University Press
ISBN 13 : 1107434009
Total Pages : 559 pages
Book Rating : 4.1/5 (74 download)

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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.

Data Stream Management

Author : Minos Garofalakis
Publisher : Springer
ISBN 13 : 354028608X
Total Pages : 528 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Data Stream Management by : Minos Garofalakis

Download or read book Data Stream Management written by Minos Garofalakis and published by Springer. This book was released on 2016-07-11 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume focuses on the theory and practice of data stream management, and the novel challenges this emerging domain poses for data-management algorithms, systems, and applications. The collection of chapters, contributed by authorities in the field, offers a comprehensive introduction to both the algorithmic/theoretical foundations of data streams, as well as the streaming systems and applications built in different domains. A short introductory chapter provides a brief summary of some basic data streaming concepts and models, and discusses the key elements of a generic stream query processing architecture. Subsequently, Part I focuses on basic streaming algorithms for some key analytics functions (e.g., quantiles, norms, join aggregates, heavy hitters) over streaming data. Part II then examines important techniques for basic stream mining tasks (e.g., clustering, classification, frequent itemsets). Part III discusses a number of advanced topics on stream processing algorithms, and Part IV focuses on system and language aspects of data stream processing with surveys of influential system prototypes and language designs. Part V then presents some representative applications of streaming techniques in different domains (e.g., network management, financial analytics). Finally, the volume concludes with an overview of current data streaming products and new application domains (e.g. cloud computing, big data analytics, and complex event processing), and a discussion of future directions in this exciting field. The book provides a comprehensive overview of core concepts and technological foundations, as well as various systems and applications, and is of particular interest to students, lecturers and researchers in the area of data stream management.

Streaming Systems

Author : Tyler Akidau
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491983825
Total Pages : 391 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Streaming Systems by : Tyler Akidau

Download or read book Streaming Systems written by Tyler Akidau and published by "O'Reilly Media, Inc.". This book was released on 2018-07-16 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way. Expanded from Tyler Akidau’s popular blog posts "Streaming 101" and "Streaming 102", this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. You’ll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax. You’ll explore: How streaming and batch data processing patterns compare The core principles and concepts behind robust out-of-order data processing How watermarks track progress and completeness in infinite datasets How exactly-once data processing techniques ensure correctness How the concepts of streams and tables form the foundations of both batch and streaming data processing The practical motivations behind a powerful persistent state mechanism, driven by a real-world example How time-varying relations provide a link between stream processing and the world of SQL and relational algebra

Library & Information Science Abstracts

Author :
Publisher :
ISBN 13 :
Total Pages : 922 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Library & Information Science Abstracts by :

Download or read book Library & Information Science Abstracts written by and published by . This book was released on 2007 with total page 922 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Oracle Streams 11g Data Replication

Author : Kirtikumar Deshpande
Publisher : McGraw Hill Professional
ISBN 13 : 0071759123
Total Pages : 546 pages
Book Rating : 4.0/5 (717 download)

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Book Synopsis Oracle Streams 11g Data Replication by : Kirtikumar Deshpande

Download or read book Oracle Streams 11g Data Replication written by Kirtikumar Deshpande and published by McGraw Hill Professional. This book was released on 2010-12-22 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master Oracle Streams 11g Replication Enable real-time information access and data sharing across your distributed framework using the expert information in this Oracle Press guide. Oracle Streams 11g Data Replication explains how to set up and administer a unified enterprise data sharing infrastructure. Learn how to capture, propagate, and apply database changes, transform data, and handle data conflicts. Monitoring, optimizing, and troubleshooting techniques are also covered in this comprehensive volume. Understand Oracle Streams components and architecture Gain in-depth knowledge about capturing, propagating, and applying data manipulation language (DML) and data definition language (DDL) changes Learn how to access and modify the contents of Logical Change Records Build custom procedures for data transformations Configure Oracle Streams replication for the database, schemas, and tables Tune Oracle Streams performance for improved throughput Manage and monitor Oracle Streams using Oracle Enterprise Manager Grid Control Learn from several practical examples and scripts

Online Databases and Other Internet Resources for Earth Science

Author : Pillarisetty Venkataramana
Publisher : Chandos Publishing
ISBN 13 :
Total Pages : 342 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Online Databases and Other Internet Resources for Earth Science by : Pillarisetty Venkataramana

Download or read book Online Databases and Other Internet Resources for Earth Science written by Pillarisetty Venkataramana and published by Chandos Publishing. This book was released on 2007-10-31 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction - the types of earth science resources available on the Internet Internet and the World Wide Web - basic concepts and technologies that run the Internet, various browsers and search engines Assessing internet resources - methods to assess the quality and reliability of data available on the Internet Current copyright laws - the status of current copyright laws relating to data on the Internet Earth science resources - details of the websites hosting earth science resources, the type of data they host are presented. These resources are classified by subject and presented as tables References - contains detailed bibliographic citations Index - detailed subject index Appendices - list of online Earth science journals including their publishers and hyperlinks; list of open access journals on earth sciences including their URLs.