Whitepapers


Colin White - Gaining Value From Big Data: Integrating Relational Systems with HadoopGaining Value From Big Data:
Integrating Relational Systems with Hadoop

Colin White, BI Research

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Colin White-Next Generation Analytic Ecosystem White PaperA Next-Generation Analytics Ecosystem for Big Data

Colin White, BI Research

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Detailed Criteria for Evaluating Analytic PlatformsDetailed Criteria for
Evaluating Analytic Platforms

Colin White’s criteria for Analytic Platforms

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Analytic Workloads on Oracle and ParAccel - A Comparison Guide to Analytic PerformanceAnalytic Workloads on Oracle and ParAccel

A Comparison Guide to Analytic Performance

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Offloading Analytic Workloads for Improved Performance - A Leader’s Guide to the Need and Requirements for Analytic OffloadOffloading Analytic Workloads for Improved Performance

A Leader’s Guide to the Need and Requirements for Analytic Offload

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The Rise of the Analytic Platform in Big DataThe Rise of the Analytic Platform in Big Data

By Enterprise Management Associates®
 

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Accelerate Insight for Financial Services: Manage Risk. Stop Fraud. Increase Profits.Financial Services

Accelerate Insight for Financial Services: Manage Risk. Stop Fraud. Increase Profits.

ParAccel PADB and NetApp SAN Optimized Solution High Performance Analytics with Advanced Data Management Capabilities

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ParAccel Analytic PlatformParAccel Analytic Platform

A Technical Overview

Rapidly accumulating business intelligence data presents an amazing opportunity for all types of corporations. But “big data” can be overwhelming—and analyst firm IDC predicts this data will multiply by 44 times over the next decade, so it won’t get any easier to make sense of.

Financial institutions in particular need high-performance analytic databases more than ever. Rapidly changing markets, new regulations, new investment options, and new market opportunities must be constantly and rapidly analyzed for new insights with risk analysis, which relies on terabytes and petabytes of historical data. This requires the superior performance delivered by today’s analytic databases.

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Hadoop’s Limitations for Big Data AnalyticsHadoop’s Limitations for Big Data Analytics

Solving Big Data Analytic Challenges Requires a Complete Ecosystem

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Understanding the New Cooperative Analytic Processing ArchitecturesUnderstanding the New Cooperative Analytic Processing Architectures

Driving Value from Big Data with Analytic Platforms

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TDWI Checklist Report - Analytic Databases for Big Data

TDWI Checklist Report

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Offloading Analytic Workloads from Teradata
for Improved Performance - A Leader’s Guide to the Need and Requirements for Analytic OffloadOffloading Analytic Workloads from Teradata for Improved Performance

A Leader’s Guide to the Need and Requirements for Analytic Offload

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Creating the Analytics-Driven EnterpriseCreating the Analytics-Driven Enterprise

New World, New Analytics

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Criteria for Analytic  Platform SelectionAnalytic Platform Selection

Criteria for Analytic
Platform Selection

ParAccel has continued its attempts to differentiate itself in a crowded market by focusing its analytic-database products on high-performance analytics workloads. With version 3.0 of the ParAccel Analytic Database (PADB), the company has added in-database analytics capabilities that are due to be extended over the next year.

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VMware® ESX™ Using ParAccel Analytic Database™TPC Benchmark H -
Full Disclosure Report

VMware® ESX™ Using
ParAccel Analytic Database™

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