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ESG Analyst Report: Big Data Infrastructure Made Easy How to Simplify & Accelerate Hadoop Deployment

Published By: BlueData     Published Date: Aug 19, 2015
As companies seek to better understand their customers, their opportunities, and themselves, they are embracing new technologies such as Hadoop and NoSQL to better manage and manipulate their data. Yet a complete solution for big data has many moving parts while at the same time these moving parts are continuously evolving. Download this white paper to figure out how to make all the moving parts work smoothly together and see how this will ease frustration with business users and free up your IT teams time to handle other issues.
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big data infrastructure, hadoop deployment, spark, analytics software, big data, data management, data center
    
BlueData

Changing the Equation on BigData Spending

Published By: BlueData     Published Date: Aug 19, 2015
Over the past few years, “Big Data” has evolved from an interesting technology topic into a source of major competitive advantage, in which IDG conducted a survey and found out that 60% of enterprises are planning on spending an average of $8 million on Big Data initiatives. However, somewhere between intention/investment and executive/production, Big Data initiatives are falling into a gap. Download this white paper to find out how to change the equation on Big Data spending and learn what the successful companies are doing in order to achieve a success from your Big Data applications.
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bigdata, hadoop, big data spending, big data projects, it commitments, data management, data center
    
BlueData

Who's Big on Big Data?

Published By: Platfora     Published Date: Aug 03, 2015
A survey of more than 395 C-level executives, sponsored by Platfora, shows that senior leaders are optimistic about the capabilities of big data, but many still struggle with big data applications.
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platfora, big data, hadoop, data center, big data analytics, network management, servers, blade servers, server virtualization, analytical applications, data deduplication, cloud computing, data center design and management, infrastructure management
    
Platfora

CIO eBook: Why Big Data is a Big Deal

Published By: BMC Software     Published Date: Jul 22, 2015
This CIO eBook explores how to deploy Hadoop applications faster and easier with a workload automation solution that simplifies and automates Hadoop batch processing and connected enterprise workflows. Read the eBook to learn: • The role—and challenges—of Hadoop in Big Data application development • Six considerations for a Hadoop proof-of-concept initiative • How to connect Hadoop to other enterprise data sources and applications
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big data, hadoop applications, hadoop development
    
BMC Software

Integrate Big Data into Business Processes and Enterprise Systems

Published By: BMC Software     Published Date: Jul 22, 2015
In this white paper, you’ll discover an enterprise approach to Big Data that leverages workload automation to: - Integrate Hadoop workflows into your enterprise processes to deliver new applications faster - Resolve issues faster with predictive analytics, automated alerts, and early problem detection - Achieve compliance and governance adherence
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big data, business processes, enterprise systems, hadoop, compliance
    
BMC Software

Integration von Big Data in Geschäftsprozesse und Unternehmenssysteme

Published By: BMC Software     Published Date: Jul 22, 2015
Integrieren Sie Ihrer Big Data Initiativen in Ihre Unternehmensweiten Geschäftsprozesse. Gerne machen wir Sie damit vertraut, wie sie mit Control-M für Hadoop die Anwendungsentwicklung beschleunigen und die Unternehmensintegration vereinfachen können. Besprochene Themen schließen folgende Punkte ein: * Wie können Sie mit einem Enterprise Scheduler für Hadoop, weitere Automationsinseln vermeiden. * Wie kann sichergestellt werden, dass Sie aus ihren Big Data Initiativen den gewünschten Mehrwert erhalten. * Wie können Sie mit Ihren Big Data initiativen sich den administrativen Herausforderungen & Bedürfnissen stellen und mögliche Konfrontationen erfolgreich meistern.
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BMC Software

Workload Automation: Accelerate Digital Services Delivery

Published By: BMC Software     Published Date: Jul 22, 2015
Managing Hadoop batch processing may consume a significant portion of application developers’ time and effort, which drives up application development times and costs. This paper from BMC discusses the obstacles IT organizations face in developing and managing Hadoop jobs and workflows and how a workload automation solution can remove these barriers.
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hadoop, batch jobs, workflow, scheduling tools, automation
    
BMC Software

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

Pepperdata on a Highly-tuned Hadoop Cluster

Published By: Pepperdata     Published Date: Jun 25, 2015
Download the white paper, A Highly-Tuned Hadoop Cluster, to learn how to add real-time optimization technology to performance tuning strategy to: • Monitor and control the actual use of (and demand for) each kind of hardware resource by task • Identify ‘holes’ in the cluster where a node could temporarily do more work • Eliminate the need to physically separate workloads to ensure performance
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Pepperdata

Pepperdata in Multi-tenant Environments

Published By: Pepperdata     Published Date: Jun 25, 2015
Download this whitepaper to learn how real-¬time cluster optimization technology can be used in multi¬-tenancy Hadoop environments to: • Eliminate the expense of having to physically isolate workloads • Enforce service level agreements (SLAs) based on customer¬ defined policies • Enable cluster usage tracking by job, task and user to speed troubleshooting and help with chargebacks
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Pepperdata

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

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, data management
    
Altiscale

[New Forrester Study] Hadoop-as-a-Service Pays Off?

Published By: Altiscale     Published Date: May 28, 2015
Altiscale’s Hadoop-as-a-Service can reduce costs and improve data scientist productivity, resulting in products, services, and insights realized sooner.
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hadoop-as-a-service, data improvement, data productivity, economic benefits, economic impact, big data, forrester, 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, productivity
    
IBM

Significantly Improve Productivity in the Hadoop Data Lake

Published By: Teradata     Published Date: May 01, 2015
Creating value in your enterprise undoubtedly creates competitive advantage. Making sense of the data that is pouring into the data lake, accelerating the value of the data, and being able to manage that data effectively is a game-changer. Michael Lang explores how to achieve this success in “Data Preparation in the Hadoop Data Lake.” Enterprises experiencing success with data preparation acknowledge its three essential competencies: structuring, exploring, and transforming. Teradata Loom offers a new approach by enabling enterprises to get value from the data lake with an interactive method for preparing big data incrementally and iteratively. As the first complete data management solution for Hadoop, Teradata Loom enables enterprises to benefit from better and faster insights from a continuous data science workflow, improving productivity and business value. To learn more about how Teradata Loom can help improve productivity in the Hadoop Data Lake, download this report now.
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data management, productivity, hadoop, interactive, enterprise, enterprise applications
    
Teradata

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

Published By: IBM     Published Date: Apr 29, 2015
IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights. IBM builds on a 100% Apache Hadoop foundation with common tools such as spreadsheets, R analytics and SQL access for greater usability.
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bigsheets, data management, business intelligence, workload optimization, data, sql, network management, network performance, network provisioning, database development, productivity
    
IBM

Statistics and Machine Learning at Scale

Published By: SAS     Published Date: Apr 20, 2015
This conclusions paper introduces key machine learning concepts and describes new SAS solutions – SAS In-Memory Statistics for Hadoop and SAS Visual Statistics – that enable machine learning at scale.
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SAS

451 Research: SAS Data Loader for Hadoop

Published By: SAS     Published Date: Apr 16, 2015
SAS Institute is gearing up to make a self-service data preparation play with its new Data Loader for Hadoop offering. Designed for profiling, cleansing, transforming and preparing data to load it into the open source data processing framework for analysis, Data Loader for Hadoop is a lynchpin in SAS's data management strategy for 2015. This strategy centers on three key themes: 'big data' management and governance involving Hadoop, the streamlining of access to information, and the use of its federation and integration offerings to enable the right data to be available, at the right time.
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SAS

The State of the Data Warehouse - A Survey of Data Professionals conducted by Dimensional Research

Published By: Snowflake     Published Date: Apr 14, 2015
Find out why data professionals are NOT replacing their data warehouse with Hadoop—read the survey
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dimensional research, data professionals, data warehouse, cloud computing, big data, new technology, human resources services, virtualization
    
Snowflake

7 Signs Your Hair Is on Fire: The Challenges of Scaling Hadoop

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, data management
    
Altiscale

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

Integrating Hadoop into BI and Data Warehousing – Best Practices Report

Published By: Pentaho     Published Date: Feb 26, 2015
This TDWI Best Practices 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.
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big data, big data analytics, data warehousing technologies, data storage, business intelligence, data integration, enterprise applications, data management, storage management, database development
    
Pentaho

Big Data Application Development: Why it Matters

Published By: Cask     Published Date: Feb 04, 2015
It’s time for business applications to include Big Data functionality, and it’s time for developers to get on the Big Data train. This webinar will focus on how to make that happen.
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cask, hadoop, big data, application development, big data application development, application integration, enterprise software, database development, software testing, web development, data warehousing
    
Cask

Where Hadoop Fits in Your Data Warehouse Architecture

Published By: Teradata     Published Date: Jan 30, 2015
This TDWI Checklist Report discusses adjustments to DW architectures that real-world organizations are making today, so that Hadoop can help the DW environment satisfy new business requirements for big data management and big data analytics.
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data, data warehouse, hadoop, hadoop ecosystem, data architectures, data archiving, advanced analytics, data management, data center
    
Teradata

Predictions 2015: Hadoop Will Become A Cornerstone Of Your Business Technology Agenda

Published By: Teradata     Published Date: Jan 30, 2015
Hadoop is the rising star of the business technology agenda for a simple reason — it disrupts the economics of data, analytics, and someday soon, all enterprise applications; it is secretly becoming an application platform too. Application development and delivery (AD&D) professionals should be aware of and take action on these eight predictions, including the disruptive power of “Hadooponomics,” Hadoop’s current killer app, the closing data management gap, and the emergence of brand new distros.
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hadoop, hadoop adoption, cornerstone, business technology, hadooponomics, enterprise adoption, applications, data management, best practices, business intelligence
    
Teradata
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