Big data analytics with spark

Big data processing with peer to peer architectures

Big data processing with peer to peer architectures

... to functionalities and/or controls However, due to the advent of the Big Data paradigm, data- distributed processing has implicitly become synonymous with this umbrella term; datadistributed processing ... incorporating elasticity into the architecture of a modern data processing system 1.3 Structured Peer- to -Peer Architectures Currently, the predominant architectur...

Ngày tải lên: 09/09/2015, 11:13

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Fast data processing with spark, 2nd edition

Fast data processing with spark, 2nd edition

... Fast Data Processing with Spark Second Edition Perform real-time analytics using Spark in a fast, distributed, and scalable way Krishna Sankar ... scalable way Krishna Sankar Holden Karau BIRMINGHAM - MUMBAI www.allitebooks.com Fast Data Processing with Spark Second Edition Copyright © 2015 Packt Publishing All rights reserved No part of this ... and Saving Data in Spar...

Ngày tải lên: 20/02/2016, 15:40

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Competing smarter with advanced data analytics

Competing smarter with advanced data analytics

... Competing smarter with advanced data analytics Contents Introduction Companies take to the offense with data analytics Focusing data analysis on competitors External and internal data Business ... Economist Intelligence Unit Limited 2015 Competing smarter with advanced data analytics Companies take to the offense with data analytics In version 1.0 of d...

Ngày tải lên: 30/11/2015, 21:08

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Understanding big data

Understanding big data

... GLANCE PART I Big Data: From the Business Perspective What Is Big Data? Hint: You’re a Part of It Every Day Why Is Big Data Important? 15 Why IBM for Big Data? 35 PART II Big Data: From ... splits Big Data into two key areas that only IBM seems to be talking about when defining Big Data: Big Data in motion and Big Data at rest In this chapter, we focus on the at...

Ngày tải lên: 07/12/2013, 11:34

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Tài liệu Querying Data Asynchronously with Message Queuing docx

Tài liệu Querying Data Asynchronously with Message Queuing docx

... table in the DataSet with customer data DataSet ds = new DataSet( ); da.Fill(ds, "Customers"); // Create the result queue if it does not exist if(!MessageQueue.Exists(QUEUENAMERESULT)) MessageQueue.Create(QUEUENAMERESULT); ... TimeSpan(0, 0, 1)); } catch(MessageQueueException ex) { resultTextBox.Text = ex .Message; return; } // Create the customer DataSet from the message body DataSet d...

Ngày tải lên: 14/12/2013, 18:16

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Tài liệu Module 7: Universal Data Access with ADO 2.5 docx

Tài liệu Module 7: Universal Data Access with ADO 2.5 docx

... objects to access Web-based data 2 Module 7: Universal Data Access with ADO 2.5 # Using ADO 2.5 ! Understanding OLE DB ! The ADO 2.5 Object Model ! Using ADO Objects ADO 2.5 is provided with Microsoft ... guidelines and using efficient data access programming techniques v vi Module 7: Universal Data Access with ADO 2.5 Highlight some of...

Ngày tải lên: 21/12/2013, 19:15

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Tài liệu Updating a Data Source with Data from a Different Data Source doc

Tài liệu Updating a Data Source with Data from a Different Data Source doc

... tracks changes made to data by maintaining multiple versions of each row allowing the data to be reconciled later to a data source using a DataAdapter The data source to which the DataSet is reconciled ... destination DataAdapter is called using the DataSet containing the changes as the data object argument; this applies the changes to the destination data source The des...

Ngày tải lên: 21/01/2014, 11:20

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