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Simplifying Big Data Management, by Kusnetzky Group

Published By: MapR Technologies     Published Date: Dec 12, 2013
This independent whitepaper from the Kusnetzky Group Analyst describes the promise and challenges surrounding Big Data. It also validates the M7 solution from MapR, which simplifies big data management by consolidating disparate solutions into a single, enterprise-ready platform.
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata
    
MapR Technologies

Productionizing Hadoop: Seven Architectural Best Practices

Published By: MapR Technologies     Published Date: Jan 08, 2014
Forrester Research shares seven architectural qualities for evaluating Big Data production platforms. In this webinar guest speaker Mike Gualtieri, Principal Analyst at Forrester, along with experts from MapR and Cisco, will present the following: • The 7 architectural qualities for productionizing Hadoop successfully • Architectural best practices for Big Data applications • The benefits of planning for scale • How Cisco IT is using best practices for their Big Data applications Speakers • Mike Gualtieri, Principal Analyst at Forrester Research • Jack Norris, Chief Marketing Officer at MapR Technologies • Andrew Blaisdell, Product Marketing Manager at Cisco • Sudharshan Seerapu, IT Engineer at Cisco
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata
    
MapR Technologies

Technology Insight Paper: Deploying Hadoop in Your Data Center

Published By: MapR Technologies     Published Date: Jan 03, 2014
As the demand for Big Data analytics mushrooms, IT decision-makers must prepare for the widespread deployment of Hadoop. This Technical Insight Paper from the Evaluator Group outlines the key requirements that must be met to make Hadoop enterprise data center ready.
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big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata
    
MapR Technologies

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
    
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.
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dell, big data, hadoop, cloud, data center, cloudera, data warehousing, network architecture
    
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.
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dell, big data, data management, cloud solutions, hadoop, servers, cloud computing, storage
    
Dell

Bad Data Need Not Apply: Designing the Modern Data Warehouse Environment

Published By: IBM     Published Date: Sep 15, 2014
Download this ebook to learn the requirements for delivering trusted information to a modern data warehouse and the guiding principles for trusted information in next generation data warehouse environments.
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ibm, data warehouse, data warehousing, hadoop, trusted data, data, data deduplication, data center design and management
    
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

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

Which SQL Engine Leads the Herd?

Published By: IBM     Published Date: Jun 10, 2014
Download this short paper for an overview of the benchmark, the result and understand the importance to businesses deploying Hadoop into their data warehouse environments.
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ibm, big sql, hadoop, sql, application integration, database development, data integration, data warehousing
    
IBM

Data warehouse modernization: the queryable data store

Published By: IBM     Published Date: Nov 13, 2014
This paper focuses on the benefits of a queryable data store and big data technologies available to support data warehouse modernization. Read the paper to understand how data can be stored and optimized with Hadoop.
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ibm, ibm infosphere, big data, hadoop, big sql, data warehousing, storage management, analytical applications
    
IBM

Top Reasons to Adopt Scale-Out Data Lake based on EMC Isilon

Published By: EMC     Published Date: Jun 13, 2016
A Data Lake can meet the storage needs of your Modern Data Center. Check out the Top 10 Reasons your organization should adopt scale-out data lake storage for Hadoop Analytics on EMC Isilon.
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emc, data center, storage, storage space, data protection, infrastructure, servers, backup and recovery
    
EMC

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

Blueprints for Big Data Success

Published By: Pentaho     Published Date: Jan 16, 2015
If you’re considering a big data project, this whitepaper provides an overview of current common use cases for big data, from entry-level to more complex. You’ll get an in-depth look at some of the most common, including data warehouse optimization, streamlined data refinery, monetizing your data, and getting a 360 degree view of your customer. For each, you’ll discover why companies are investing in them, what the projects look like, and key project considerations, including tools and platforms.
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big data, nosql, hadoop, data integration, data delivery, data management, data center
    
Pentaho

TDWI Data Warehouse Modernization in the Age of Big Data Analytics

Published By: Pentaho     Published Date: Aug 22, 2016
This white paper covers the many options available for modernizing a data warehouse.
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big data, data integration, bi systems, hadoop
    
Pentaho

Planning Hadoop/NoSQL Projects for 2011

Published By: Impetus Infotech     Published Date: Apr 05, 2011
This White Paper discusses the challenges companies may face while moving to big data solutions such as Hadoop and/or NoSQL.
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hadoop, nosql implementation strategy, hadoop implementation, apache hadoop, data analytics, nosql, nosql databases, what is nosql
    
Impetus Infotech

Integrating and Governing Big Data

Published By: IBM     Published Date: May 02, 2014
The end-to-end information integration capabilities of IBM® InfoSphere® Information Server are designed to help organizations understand, cleanse, monitor, transform and deliver data—as well as collaborate to bridge the gap between business and IT.
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ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility
    
IBM

The Fundamentals of Data Lifecycle Management in the Era of Big Data

Published By: IBM     Published Date: May 02, 2014
This eBookoutlines the best practices for data lifecycle management and how InfoSphere Optimsolutions enable organizations to support and implement them.
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ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility
    
IBM

Forrester Total Economic Impact of Optim Solutions

Published By: IBM     Published Date: May 02, 2014
Learn more about Forrester’s results, and how these organizations are realizing both economic and operational benefits with InfoSphere Optim solutions.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere
    
IBM

Shared Storage Offers Lower TCO than Direct-Attached Storage for Hadoop and NoSQL Deployments

Published By: NetApp     Published Date: May 29, 2018
Read the IDC research report Shared Storage Offers Lower TCO than Direct-Attached Storage for Hadoop and NoSQL Deployments and learn how to: Unify insights across various data sources and multiple cloud deployments Reduce compute, capacity and operational costs Increase security and prevent data loss Plus, learn about the NetApp in-place analytics solution for your existing NAS data and how it can reduce infrastructure costs
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NetApp

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.
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Dell EMC

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

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

Enhance the Value of SAP Data with Real-time Data Integration for Analytics

Published By: Attunity     Published Date: Nov 15, 2018
With the opportunity to leverage new analytic systems for Big Data and Cloud, companies are looking for ways to deliver live SAP data to platforms such as Hadoop, Kafka, and the Cloud in real-time. However, making live production SAP data seamlessly available wherever needed across diverse platforms and hybrid environments often proves a challenge. Download this paper to learn how Attunity Replicate’s simple, real-time data replication and ingest solution can empower your team to meet fast-changing business requirements in an agile fashion. Our universal SAP data availability solution for analytics supports decisions to improve operations, optimize customer service, and enable companies to compete more effectively.
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Attunity

Six Guiding Principles for Effective Data Lake Pipelines

Published By: Attunity     Published Date: Nov 15, 2018
IT departments today face serious data integration hurdles when adopting and managing a Hadoop-based data lake. Many lack the ETL and Hadoop coding skills required to replicate data across these large environments. In this whitepaper, learn how you can provide automated Data Lake pipelines that accelerate and streamline your data lake ingestion efforts, enabling IT to deliver more data, ready for agile analytics, to the business.
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Attunity
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