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Coming in Q2 2017! Stay tuned!

‘D’ of Things Market Reality Check Report: Data Lakes & Hub Management Solutions
Cleansing the Data Swamp


Synopsis

While its hype seems to be fading within the brutal and sometimes ruthless practicality of business, Big Data has now touched and permanently altered the data management landscape, helping and—many times forcing—organizations to rethink, redesign, and change their analytic data architecture models.

As organizations continue to hoard huge amounts of information process and business requirements change, forcing the adoption of new models and technologies. These new data management models often promote the emergence of fresh technologies and solutions from existing and famed providers and the eruption of innovative offerings and ideas from up-and-coming newcomers.

The 2017 DoT Market Reality-Check Report: Data Lake & Hub Management Solutions presents the results of comprehensive research conducted within the user communities to evaluate various successful use cases and best practices in order to outline solution options and key features for deploying a data lake solution for an organization.

What is in the Report

Market Overview

  • General Introduction into the data Lake concept and framework
  • Brief overview of Data Lakes in the context of modern data management frameworks
  • State of the market: Challenges opportunities
  • Defining the landscape: players, segments and components
  • Data Lakes: Functional review and critical capabilities

Reality Check: Analysis of Real Hadoop Data Management Implementations

  • Business and technical user perspectives
  • Benefits
  • General Technical Architecture
  • Notes and specifications

Vendor/Product Overviews

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‘D’ of Things Market Reality Check Report: Hadoop Data Platforms 
Hadoop: From Open Source Project to World Domination 

Synopsis
Despite it`s not too distant first release in 2011, the Apache Hadoop software framework for distributed processing of large data sets has taken over the world not only for Big Data, but also for open source projects—to the point that it is really difficult to understand big data without knowing about Hadoop, and vice versa.

As organizations continue to hoard huge amounts of information, Hadoop has become the solution of choice for many organizations for dealing with enormous volumes of data of different shapes and sizes. These new requirements have triggered the emergence of new and fresh commercial solutions that work on top of the Hadoop technology stack, both from new software vendors and existing ones.

The 2017 ‘D’ of Things Market Reality-Check Report: Hadoop Data Platforms presents the results of comprehensive research conducted within the user and vendor communities to evaluate the state of the market for various Hadoop-based offerings and their successful use cases, as well as best practices and key features for deploying a Hadoop data platform in your organization.

What is in the Report

Market Overview
  • A General Introduction into Hadoop
  • A brief overview of Hadoop in the context of the implementation of Big Data solutions
  • A brief overview of a Hadoop: Components, architecture. 
  • State of the market: Challenges opportunities
  • Hadoop: Functional review and critical capabilities
Reality Check: Analysis of Real Hadoop Data Management Implementations
  • Business and technical user perspectives
  • Benefits
  • General Technical Architecture
  • Notes and specifications

Vendor/Product Overviews

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