hadoop

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From Yawn to YARN: Why You Should be Excited About Hadoop® 2

Published By: RedPoint Global     Published Date: Sep 22, 2014
Download this illuminating white paper about what YARN really means to the world of big data management.
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redpoint, big data, data management, big data management, hadoop, database development, data integration, data warehousing
    
RedPoint Global

Gain Business Value With The "Perfect Fit" Cloud Analytics Solution

Published By: Teradata     Published Date: Jan 22, 2014
Today's agile businesses are seeking to expand analytics fast, gain flexible analytic deployment options and smooth cash flows. Download this paper to learn how Teradata understands these needs and has engineered a cloud solution that meets organizations' analytic needs.
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cloud analytics, hadoop, analytics, cloud-based analytics, data warehousing, discovery capabilities, data management, cloud computing
    
Teradata

Gartner's Cool Vendors in Big Data 2015 Report

Published By: Altiscale     Published Date: May 28, 2015
Big Data technologies are maturing and quickly moving into the next phase - one that expands in data use-cases as Hadoop moves into more influential roles throughout IT infrastructures. In this just-released report, Gartner is recognizing four Big Data vendors as "cool." Gartner says these vendors can meaningfully and synergistically combine multiple types of functionality.
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big data, vendors, functionality, cool vendors, consistent performance, it management, data management; add - gartner, hadoop
    
Altiscale

Get Big Data into Production at the Speed of Business

Published By: BMC Software     Published Date: Jul 22, 2015
In this paper, learn how a proven workload automation solution can help you shorten development time and get Hadoop applications into production more quickly. By replacing scripting with the standard functions provided by a workload automation system, you can also deliver an application that is simpler, more reliable, and easier to debug once in production.
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big data, production, workload automation, hadoop, debugging, scripting
    
BMC Software

Gigaom Analyst Report: The Power of Hadoop as a Service

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

Hadoop and Beyond: Unlock Insights in Your Big Data with Predictive Analytics

Published By: IBM     Published Date: May 22, 2015
This presentation will demonstrate that it is possible to turn the promise of Big Data into business value by applying predictive analytics to Big Data sources such as Hadoop, Cloudera, and BigInsights.
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big data, analytics, forecasting, data management, hadoop, application integration, analytical applications, business intelligence
    
IBM

Hadoop and the Data Warehouse: Competitive or Complementary?

Published By: Teradata     Published Date: Jan 30, 2015
It is hard for data and IT architects to understand what workloads should move, how to coordinate data movement and processing between systems, and how to integrate those systems to provide a broader and more flexible data platform. To better understand these topics, it is helpful to first understand what Hadoop and data warehouses were designed for and what uses were not originally intended as part of the design.
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teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges
    
Teradata

Hadoop Buyer's Guide

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.
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata
    
MapR Technologies

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 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

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

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

Hadoop-Enabled Analytics: Don't Ignore the Elephant in the Room

Published By: IBM     Published Date: Jul 06, 2017
Known by its iconic yellow elephant, Apache Hadoop is purpose-built to help companies manage and extract insight from complex and diverse data environments. The scalability and flexibility of Hadoop might be appealing to the typical CIO but Aberdeen's research shows a variety of enticing business-friendly benefits.
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data management, yellow elephant, business benefits, information management
    
IBM

Hadoop: DIY tool or cloud-based service?

Published By: Altiscale     Published Date: Dec 16, 2014
This webinar will explore the merits of the Hadoop SaaS approach, relative to competing cloud and on-premise Hadoop solutions that exist today.
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altiscale, hadoop, saas, hadoop saas, cloud service, infrastructure, enterprise software, data warehousing
    
Altiscale

Harnessing the Value of Big Data Analytics

Published By: Teradata     Published Date: Feb 26, 2013
Business Insights Using Hadoop with SQL Analytics. Harness the value of big data analytics -- This report discusses a unified data architecture solution providing valuable insight from new and existing data.
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power of analytics, harnessing the value of big data, business intelligence, teradata, unified data architecture, it management, data management, business technology
    
Teradata

How Intel IT Successfully Migrated to Cloudera Apache Hadoop

Published By: Intel     Published Date: Jun 22, 2015
Until recently, we used the Intel® Distribution for Apache Hadoop Software (IDH) to support our original three business intelligence (BI) big data use cases, and it delivered results worth millions of dollars to Intel.
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Intel

How NCR Corporation Improved Quality and Time to Market for Advanced Analytics

Published By: Teradata     Published Date: Jan 30, 2015
Enterprise Hadoop Implementation with Teradata and Hortonworks
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ncr, big data, data warehouse, enterprise hadoop, hadoop implementation, teradata, hortonworks, performance data
    
Teradata

How to Use Hadoop as a Piece of the Big Data Puzzle

Published By: SAS     Published Date: Sep 13, 2013
Insights from a webinar in the Applying Business Analytics Webinar Series
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sas, hadoop, big data, software framework, webinar, business analytics webinar series, software development, it management
    
SAS

How YARN Opens Doors to Easier Programming Tools for Hadoop 2.0 Users

Published By: RedPoint Global     Published Date: Sep 22, 2014
Download this paper to learn why the power of Hadoop 2.0 lies in enabling applications to run inside Hadoop, without the constraints of MapReduce.
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redpoint, mapreduce, big data, hadoop, data integration, data management, yarn, network management
    
RedPoint Global

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
    
IBM

IBM InfoSphere Big Match for Hadoop

Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
IBM® InfoSphere® Big Match for Hadoop helps you analyze massive volumes of structured and unstructured customer data to gain deeper customer insights. It can enable fast, efficient linking of data from multiple sources to provide complete and accurate customer information—without the risks of moving data from source to source. The solution supports platforms running Apache Hadoop such as IBM Open Platform, IBM BigInsights, Hortonworks and Cloudera.
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hadoop, infosphere, data, customer insights
    
Group M_IBM Q1'18

IDC Lab Validation: EMC Isilon Scale-Out Data Lake

Published By: Dell EMC     Published Date: Jun 29, 2016
IDC believes that EMC Isilon is indeed an easy to operate, highly scalable and efficient Enterprise Data Lake Platform. IDC validated that a shared storage model based on the Data Lake can in fact provide enterprise-grade service-levels while performing better than dedicated commodity off-the-shelf storage for Hadoop workloads.
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storage, data, enterprise, best practices, platform, network attached storage, storage area networks, storage management
    
Dell EMC

Improve performance and TCO with SQL Server and the right compute

Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
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database usage, database management, server usage, data protection
    
Hewlett Packard Enterprise

Increase Data Lake ROI with Streaming Data Pipelines

Published By: Attunity     Published Date: Jan 14, 2019
This whitepaper explores how to automate your data lake pipeline to address common challenges including how to prevent data lakes from devolving into useless data swamps and how to deliver analytics-ready data via automation. Read Increase Data Lake ROI with Streaming Data Pipelines to learn about: • Common data lake origins and challenges including integrating diverse data from multiple data source platforms, including lakes on premises and in the cloud. • Delivering real-time integration, with change data capture (CDC) technology that integrates live transactions with the data lake. • Rethinking the data lake with multi-stage methodology, continuous data ingestion and merging processes that assemble a historical data store. • Leveraging a scalable and autonomous streaming data pipeline to deliver analytics-ready data sets for better business insights. Read this Attunity whitepaper now to get ahead on your data lake strategy in 2019.
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data lake, data pipeline, change data capture, data swamp, hybrid data integration, data ingestion, streaming data, real-time data
    
Attunity

Information empowerment for your evolving data ecosystem

Published By: IBM     Published Date: Jul 05, 2018
Scalable data platforms such as Apache Hadoop offer unparalleled cost benefits and analytical opportunities. IBM helps fully leverage the scale and promise of Hadoop, enabling better results for critical projects and key analytics initiatives. The end-to- end information capabilities of IBM® Information Server let you better understand data and cleanse, monitor, transform and deliver it. IBM also helps bridge the gap between business and IT with improved collaboration. By using Information Server “flexible integration” capabilities, the information that drives business and strategic initiatives—from big data and point-of- impact analytics to master data management and data warehousing—is trusted, consistent and governed in real time. Since its inception, Information Server has been a massively parallel processing (MPP) platform able to support everything from small to very large data volumes to meet your requirements, regardless of complexity. Information Server can uniquely support th
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IBM
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