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Advancing Big Data Benchmarks

Overview of attention for book
Cover of 'Advancing Big Data Benchmarks'

Table of Contents

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    Book Overview
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    Chapter 1 A BigBench Implementation in the Hadoop Ecosystem
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    Chapter 2 A Mid-Flight Synopsis of the BG Social Networking Benchmark
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    Chapter 3 A Micro-benchmark Suite for Evaluating Hadoop RPC on High-Performance Networks
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    Chapter 4 Experience from Hadoop Benchmarking with HiBench: From Micro-Benchmarks Toward End-to-End Pipelines
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    Chapter 5 Big Data Benchmark - Big DS
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    Chapter 6 WGB: Towards a Universal Graph Benchmark
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    Chapter 7 HcBench: Methodology, Development, and Full-System Characterization of a Customer Usage Representative Big Data/Hadoop Benchmark
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    Chapter 8 Big Data Workloads Drawn from Real-Time Analytics Scenarios Across Three Deployed Solutions
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    Chapter 9 Large-Scale Chinese Cross-Document Entity Disambiguation and Information Fusion
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    Chapter 10 Big Data Operations: Basis for Benchmarking a Data Grid
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    Chapter 11 BDGS: A Scalable Big Data Generator Suite in Big Data Benchmarking
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    Chapter 12 A Multidimensional OLAP Engine Implementation in Key-Value Database Systems
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    Chapter 13 Big Data Cloud-Based Advisory System
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    Chapter 14 MPP SQL Engines: Architectural Choices and Their Implications on Benchmarking
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    Chapter 15 Towards an Industry Standard for Benchmarking Big Data Systems
Attention for Chapter 9: Large-Scale Chinese Cross-Document Entity Disambiguation and Information Fusion
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