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hadoop implementation

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Published By: Teradata     Published Date: Jan 30, 2015
Enterprise Hadoop Implementation with Teradata and Hortonworks
Tags : 
ncr, big data, data warehouse, enterprise hadoop, hadoop implementation, teradata, hortonworks, performance data, data center design and management
    
Teradata
Published By: BlueData     Published Date: Aug 19, 2015
Many organizations seeking to get started with Hadoop implementation have resorted to the public cloud to avoid the complexities of deployment. Organizations are always looking for an opportunity to take advantage of the simplicity of cloud deployment and the efficiencies of multi-tenant operations on premise. Download this white paper to see why there is a greater need to simplify on-premise deployment and see how this will greatly improve manageability and security.
Tags : 
big data, hadoop, hadoop-as-a-service, multi-tenant, and infrastructure, data center
    
BlueData
Published By: Altiscale     Published Date: Mar 30, 2015
Implementing and scaling Hadoop to analyze large quantities of data is enormously complicated. Unforeseen, very challenging problems are to be expected. However, if you can learn to recognize the problems before a fire starts, you can prevent your hair (and your Hadoop implementation) from igniting. From the Hadoop experts at Altiscale, here are some of the danger signs and problems you should watch out for, as well as real-world lessons learned for heading them off.
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implementing and scaling, data analysis, hadoop scaling, it management
    
Altiscale
Published By: Altiscale     Published Date: Mar 30, 2015
This industry analyst report describes important considerations when planning a Hadoop implementation. While some companies have the skill and the will to build, operate, and maintain large Hadoop clusters of their own, a growing number are choosing not to make investments in-house and are looking to the cloud. In this report Gigaom Research explores: How large Hadoop clusters behave differently from the small groups of machines developers typically use to learn What models are available for running a Hadoop cluster, and which is best for specific situations What are the costs and benefits of using Hadoop-as-a-Service With Hadoop delivered as a Service from trusted providers such as Altiscale, companies are able to focus less on managing and optimizing Hadoop and more on the business insights Hadoop can deliver.
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hadoop implementation, hadoop cluster, hadoop-as-a-service, managing and optimizing, it management
    
Altiscale
Published By: SAS     Published Date: Oct 18, 2017
Want to get even more value from your Hadoop implementation? Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers fast processing and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. This white paper presents the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop. These solutions span the entire analytic life cycle from data management to data exploration, model development and deployment.
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SAS
Published By: MapR Technologies     Published Date: Dec 12, 2013
When used effectively, Hadoop can deliver unparalleled value in revealing new analytics-driven revenue streams, improving customer acquisition and retention, as well as increasing operational efficiencies. The Hadoop Buyer's Guide is an invaluable resource for those investigating or evaluating Hadoop---from understanding how Hadoop can solve your data challenges, to what to look for when selecting a solution, to comparing vendors, and preparing for implementation and future success. Download the guide, and get everything you need to know about choosing the right Hadoop distribution for your business success.
Tags : 
big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata, analytics, mapreduce, data, data center, mapr
    
MapR Technologies
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