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A collection of big data white papers reviewed by the editors of insideBIGDATA. Please visit the insideBIGDATA White Paper Library for a comprehensive list of white papers focus on big data strategies.

Streaming Analytics with StreamAnalytix by Impetus

The insideBIGDATA Guide to Streaming Analytics is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. Many enterprises find themselves at a key inflection point in the big data timeline with respect to streaming analytics technology.

The Lambda Architecture Simplified

In this special technology white paper, The Lambda Architecture Simplified, you’ll learn about how the Lambda Architecture aims to satisfy the needs for a robust system that is fault-tolerant, both against hardware failures and human mistakes, being able to serve a wide range of workloads and use cases, and in which low-latency reads and updates are required.

Case Studies: How are Enterprises Using Streaming Analytics

The insideBIGDATA Guide to Streaming Analytics is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology. Many enterprises find themselves at a key inflection point in the big data timeline with respect to streaming analytics technology.

Selecting a Streaming Architecture

The vendor and technology landscape for streaming analytics is complex and numerous open source options are mushrooming. It’s important to choose a platform that will supply a proven and pre-integrated, performance-tuned stack, ease of use, enterprise-class reliability and flexibility to protect the enterprise from rapid technology changes.

insideBIGDATA Guide to Streaming Analytics

Many enterprises find themselves at a key inflection point in the big data timeline with respect to streaming analytics technology. There is a huge opportunity for direct financial and market growth for enterprises by leveraging streaming analytics. The insideBIGDATA Guide to Streaming Analytics is a useful new resource directed toward enterprise thought leaders who wish to gain strategic insights into this exciting new area of technology.

A Future-proof Architecture for Streaming Data Analytics

A new technology white paper, A Future-proof Architecture for Streaming Data Analytics, explores strategies to leverage the steady flow of new, advanced real-time streaming data analytics (RTSA) application development technologies. It defines a thoughtful approach to capitalize on the window of opportunity to benefit from the power of real-time decision making now, and still be able to move to new and emerging technologies as they become enterprise ready.

Empowering Cloud Utilization with Cloud Bursting

In this special technology white paper, Empowering Cloud Utilization with Cloud Bursting, you’ll learn about how a deployment paradigm known as cloud bursting has emerged as a means to enable organizations to leverage the inherent scale and on demand capabilities of commercial cloud infrastructure in concert with their existing, proven on premise capabilities.

7 Essential Elements in a Real-Time Streaming Analytics Platform

In this special technology white paper, 7 Essential Elements in a Real-Time Streaming Analytics Platform, you’ll learn what to look for in a high-performance real-time analytics platform. The paper explores the top seven must-have features in a Real-Time Streaming Application (RTSA) platform in order to help you choose a platform that meets the needs of your organization.

Leveraging Big Data to Gain a Competitive Advantage Across a Range of Industries

In this special technology white paper, Leveraging Big Data to Gain a Competitive Advantage Across a Range of Industries, you’ll see how organizations around the world are turning to the Hadoop data collection, management and analysis platform to optimize their efforts to extract value from big data.

Dell Hadoop Solutions for Big Data

In this special technology assessment report, Dell Hadoop Solutions for Big Data, the premise is to unlock business critical insights from data of any type and size. Data growth is exploding, and analyzing large datasets—Big Data —has become the next frontier for innovation, competition, and productivity. IDC estimates that in 2012 alone, the amount of data created and replicated surpassed 2.8 zettabytes. One forecast from IDC estimates that data will grow to an overwhelming 44 zettabytes by 2020.