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Big Data Platforms: Eckerson Group

At the heart of a big data environment is a big data platform, which does all the heavy lifting recquired to capture, store, transform, and govern large volumes of multi-structured data at high speeds. Big Data platforms process data in batch or real time using both relational and non-relational database engines, languages, components, and techniques.

Business Analytics-as-a-Service

This white paper examines how EMC solved these challenges by transforming IT and the business with analytics as a service, a new approach that unlocks the value of Big Data.

Data Lakes Principles and Economics

This Checklist Report discusses what your enterprise should consider before diving into a data lake project, no matter if it’s your first or second or even third major data lake project. Presumably, adherence to these principles will become second nature to the data lake team and they will even improve upon them at some point.

Big Data Analytics: IBM

Businesses are discovering the huge potential of big data analytics across all dimensions of the business, from defining corporate strategy to managing customer relationships, and from improving operations to gaining competitive edge. The open source Apache Hadoop project, a software framework that enables high-performance analytics on unstructured data sets, is the centerpiece of big data solutions. Hadoop is designed to process data-intensive computational tasks, in parallel and at a scale, that previously were possible only in high-performance computing (HPC) environments.

Research of Data Lakes

This study was designed to document key perceptions, challenges, and successes by focusing on data organization, integration, security, and definitional clarification to address key areas of concern and interest in ongoing data lake adoption. The intent of the survey and this corresponding report is to understand and share the current and planned adoption of technologies in the Hadoop ecosystem, intended specifically for a data lake strategy, and to learn how adopting companies are addressing critical data lake success factors, including rethinking data for the long-term, establishing governance first, and tackling security needs upfront. The survey and report also identify emergent areas of concern and new areas of clarification needed for data lake maturity.

Analytical Strength Using Aster Analytics

The biggest challenge for most organizations is to increase their analytical strength. This analytical strength can help the organizations to uncover new business insights. To make data science affordable for every organization and to deploy data science across the entire organization and not only by the high priests of data science, other disciplines must be involved.

Data Management Platform Whitepaper

Discover how Data Management Platforms are allowing marketers to merge data from advertising partners and their customer databases to power more individualized marketing.

Hadoop Appliances and Teradata

A White paper by Philip Howard, Bloor Research International Ltd on critical considerations for Hadoop deployments and the role of appliances.

Data Architecture in an Evolving Eco-system Topology

With today’s needs for complicated data architecture systems and the business’s need to make sure that their data is on the most economical platform, moving away from EDW to platforms like Hadoop can be more than daunting to an organization. This whitepaper walks you through how Teradata customers have used the services team to help them migrate to new platforms seamlessly and why it’s important to have a strategic partner like Teradata when taking on this data movement project.

Data Visualization: Making Big Data Approachable

Why are some companies able to use Big Data to their advantage, while others remain mired in reams of information, but gain little insight? In many cases, those companies that have found success with Big Data are using data visualization to help make sense of the information.