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Scaling Data Integration to Handle Big Data

Published By: IBM     Published Date: Jan 13, 2016
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
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ibm, data integration, infosphere, information server, partition, data profiling, knowledge management, data management, business technology, data center
    
IBM

Hadoop for the Enterprise

Published By: IBM     Published Date: Nov 16, 2015
The report is sponsored by vendor firms Actian Corporation, Cloudera, Exasol, IBM, MapR Technologies, MarkLogic, Pentaho, SAS, Talend, and Trillium Software.
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ibm, tdwi, enterprise, information technology, data management, business technology
    
IBM

Hadoop Use Cases Across a Range of Industries

Published By: Dell EMC     Published Date: Nov 09, 2015
This business-oriented white paper summarizes the wide-ranging benefits of the Hadoop platform, highlights common data processing use cases and explores examples of specific use cases in vertical industries. The information presented here draws on the collective experiences of three leaders in the use of Hadoop technologies—Dell and its partners Cloudera and Intel.
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Dell EMC

Simplify Your Big Data Journey with a Tested and Validated Hadoop Solution

Published By: Dell EMC     Published Date: Nov 09, 2015
While the EDW plays an all-important role in the effort to leverage big data to drive business value, it is not without its challenges. In particular, the typical EDW is being pushed to its limits by the volume, velocity and variety of data. Download this whitepaper and see how the Dell™ | Cloudera™ | Syncsort™ Data Warehouse Optimization – ETL Offload Reference Architecture can help.
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Dell EMC

Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective

Published By: Pentaho     Published Date: Nov 04, 2015
This report explains the benefits that Hadoop and Hadoop-based products can bring to organizations today, both for big data analytics and as complements to existing BI and data warehousing technologies based on TDWI research plus survey responses from 325 data management professionals across 13 industries. It also covers Hadoop best practices and provides an overview of tools and platforms that integrate with Hadoop.
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pentaho, analytics, platforms, hadoop, big data, predictive analytics, data management, networking, it management, knowledge management, enterprise applications, data center
    
Pentaho

TDWI Best Practices Report: Next-Generation Analytics and Platforms

Published By: Pentaho     Published Date: Nov 04, 2015
Although the phrase “next-generation platforms and analytics” can evoke images of machine learning, big data, Hadoop, and the Internet of things, most organizations are somewhere in between the technology vision and today’s reality of BI and dashboards. Next-generation platforms and analytics often mean simply pushing past reports and dashboards to more advanced forms of analytics, such as predictive analytics. Next-generation analytics might move your organization from visualization to big data visualization; from slicing and dicing data to predictive analytics; or to using more than just structured data for analysis.
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pentaho, analytics, platforms, hadoop, big data, predictive analytics, networking, it management, knowledge management, data management
    
Pentaho

Hadoop in the cloud

Published By: IBM     Published Date: Oct 26, 2015
Read the eBook to find out how the cloud model of paying only for the resources that you need—and only when you need them—supports experimentation and evaluation and is a great solution for short-term or occasional-use projects where investment in a dedicated cluster is cost prohibitive.
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clustering, business analytics, business intelligence, analytical applications, cloud computing
    
IBM

IBM BigInsights for Apache Hadoop: Efficiently manage and mine big data for valuable insights

Published By: IBM     Published Date: Oct 26, 2015
Read how IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights.
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ibm, ibm infosphere biginsights, data, big data, hadoop, storage virtualization, business analytics, business integration, server virtualization, database development, analytical applications, data integration, cloud computing, data center design and management, virtualization
    
IBM

Embracing Next-Generation Big Data & Analytics

Published By: Altiscale     Published Date: Oct 19, 2015
In this age of Big Data, enterprises are creating and acquiring more data than ever before. To handle the volume, variety, and velocity requirements associated with Big Data, Apache Hadoop and its thriving ecosystem of engines and tools have created a platform for the next generation of data management, operating at a scale that traditional data warehouses cannot match.
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big data, analytics, nexgen, hadoop, apache, networking
    
Altiscale

Scaling Data Integration to Handle Big Data

Published By: IBM     Published Date: Oct 19, 2015
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
Tags : 
ibm, infosphere, data profiling, business glossary, partition, pipeline parallelism, information server, data sources, hadoop, networking, security, data management, business technology
    
IBM

Four Ways to Get Started with Big Data Hadoop

Published By: Dell EMC     Published Date: Oct 12, 2015
This business-oriented white paper explains four options for starting your Hadoop journey. This paper also outlines the benefits of Hadoop and highlights some of the many use cases for this new approach to managing, storing and processing big data.
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Dell EMC

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

Published By: Dell EMC     Published Date: Oct 08, 2015
The information presented here draws on the collective experiences of three leaders in the use of Hadoop technologies—Dell® and its partners Cloudera® and Intel®.
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Dell EMC

Dell Hadoop Solutions for Big Data

Published By: Dell EMC     Published Date: Oct 08, 2015
This paper discusses how the many Dell | Cloudera Hadoop solutions help organizations of all sizes, and with a variety of needs and use cases, tackle their big data requirements.
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Dell EMC

Hadoop Security - Four Must-Haves

Published By: Dell EMC     Published Date: Oct 08, 2015
In order to protect big data today, organizations must have solutions that address four key areas: authentication, authorization, audit and lineage, and compliant data protection.
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Dell EMC

InsideBIGDATA Guide to Retail

Published By: Dell EMC     Published Date: Oct 08, 2015
To compete in this new multi-channel environment, we’ve seen in this guide how retailers have to adopt new and innovative strategies to attract and retain customers. Big data technologies, specifically Hadoop, enable retailers to connect with customers through multiple channels at an entirely new level by harnessing the vast volumes of new data available today. Hadoop helps retailers store, transform, integrate and analyze a wide variety of online and offline customer data—POS transactions, e-commerce transactions, clickstream data, email, social media, sensor data and call center records—all in one central repository.
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Dell EMC

Three Ways to Get Started with Big Data Hadoop

Published By: Dell EMC     Published Date: Oct 08, 2015
This business-oriented white paper explains three options for starting your Hadoop journey. This paper also outlines the benefits of Hadoop and highlights some of the many use cases for this new approach to managing, storing and processing big data.
Tags : 
    
Dell EMC

A Powerful New Foundation for Creating Customer Campaigns (Merkle case study)

Published By: Dell EMC     Published Date: Oct 08, 2015
Download this white paper to learn how the company deployed a Dell and Hadoop cluster based on Dell and Intel® technologies to support a new big data insight solution that gives clients a unified view of customer data.
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Dell EMC

4 Technical Presentations: 2015 Hadoop Summit Presentations

Published By: Altiscale     Published Date: Aug 25, 2015
Weren't able to attend Hadoop Summit 2015? No sweat. Learn more about the latest Big Data technologies in these technical presentations at this recent leading industry event. The Big Data experts at Altiscale - the leader in Big Data as a Service - have been busy at conferences. To see all four presentations (in slides and youtube video), click here. https://www.altiscale.com/educational-slide-kit-2015-big-data-conferences-nf/ • Managing Growth in Production Hadoop Deployments • Running Spark & MapReduce Together in Production • YARN and the Docker Ecosystem • 5 Tips for Building a Data Science Platform
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hadoop, hadoop technologies, hadoop information
    
Altiscale

Amazon EMR Information Kit: Learn Why Amazon EMR is Not Easy

Published By: Altiscale     Published Date: Aug 25, 2015
Hype abounds about Big Data. And it's hard to know how to effectively exploit its potential. Learn how to separate fact from fiction in this new webinar + research note titled "Amazon EMR is Easy and 7 Other Myths." If you're considering launching a new Big Data initiative, or if you are currently struggling with Amazon EMR, view this 30 minute on-demand webinar + research note and dispel the most common untruths about Amazon EMR, as determined by leading Hadoop experts. Specifically, you'll learn: • The differences between Hadoop-as-a-Service and Amazon EMR • Why Hadoop on Amazon is not elastic • Why EMR is not a "plug-n-play" application • How costs get out of control with Amazon EMR
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amazon emr, big data, haddop
    
Altiscale

Three Ways to Get Started with Big Data Hadoop

Published By: Dell     Published Date: Aug 24, 2015
To extract value from an ever-growing onslaught of data, your organization needs next-generation data management, integration, storage and processing systems that allow you to collect, manage, store and analyze data quickly, efficiently and cost-effectively. That’s the case with Dell | Cloudera® Apache™ Hadoop® solutions for big data.
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dell, data management, data integration, big data, hadoop, small business networks, storage management, server virtualization, cloud computing, data center design and management
    
Dell

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

Published By: Dell     Published Date: Aug 24, 2015
This business-oriented white paper summarizes the wide-ranging benefits of the Hadoop platform, highlights common data processing use cases and explores examples of specific use cases in vertical industries.
Tags : 
dell, big data, hadoop, cloud, data center, cloudera, data warehousing, network architecture, servers, backup and recovery, storage virtualization, best practices, data loss prevention
    
Dell

Dell Hadoop Solutions for Big Data

Published By: Dell     Published Date: Aug 24, 2015
This paper discusses how the many Dell | Cloudera Hadoop solutions help organizations of all sizes, and with a variety of needs and use cases, tackle their big data requirements.
Tags : 
dell, big data, data management, cloud solutions, hadoop, servers, cloud computing, storage, governance, infrastructure, backup and recovery, server virtualization, data integration, data warehousing, data deduplication, data center design and management
    
Dell

Ovum Analyst Report: Simplifying Multi-Tenancy for Hadoop

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.
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big data, hadoop, hadoop-as-a-service, multi-tenant, and infrastructure, data center
    
BlueData

Solving the Big Data Intention-Deployment Gap

Published By: BlueData     Published Date: Aug 19, 2015
Big Data is on virtually every enterprise’s to-do list these days. Recognizing both its potential and competitive advantage, companies are aligning a vast array of resources to access and analyze this strategic asset. However, despite best intentions, the majority of these Big Data initiatives are either extremely slow in their implementation or are not yielding the results and benefits that enterprises expect. Download this white paper to learn how to solve the Big Data intention-deployment gap and see how you can make your infrastructure in a flexible, easy-to-use platform that will provide in-depth analytics.
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big data, big data intention-deployment, in-depth analytics, hadoop, data management, data center
    
BlueData
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