Go back

Data Stream Management(1st Edition)

Authors:

Lukasz Golab, M. Tamer Ozsu

Free data stream management 1st edition lukasz golab, m. tamer ozsu 3031007093, 978-3031007095
10 ratings
Cover Type:Hardcover
Condition:Used

In Stock

Shipment time

Expected shipping within 2 Days
Access to 30 Million+ solutions Free
Ask 50 Questions from expert AI-Powered Answers
7 days-trial

Total Price:

$0

List Price: $20.96 Savings: $20.96(100%)
Access to 30 Million+ solutions
Ask 50 Questions from expert AI-Powered Answers 24/7 Tutor Help Detailed solutions for Data Stream Management

Price:

$9.99

/month

Book details

ISBN: 3031007093, 978-3031007095

Book publisher: Springer

Get your hands on the best-selling book Data Stream Management 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.

Book Summary: 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