hadoop

Results 126 - 150 of 150Sort Results By: Published Date | Title | Company Name

Teradata Aster SNAP Framework, and Apache Hadoop YARN: Two Architectures For Big Data

Published By: Teradata     Published Date: Jan 30, 2015
This report is about two of those architectures: Apache™ Hadoop® YARN and Teradata® Aster® Seamless Network Analytical Processing (SNAP) Framework™. In the report, each architecture is described; the use of each in a business problem is illustrated; and the results are compared.
Tags : 
teradata, data, big, data, analytics. insights, solutions, business opportunities, challenges
    
Teradata

The Big Data Mystique: Business Analytics for Every Business

Published By: IBM     Published Date: Oct 30, 2014
Filled with exotic terms like “Hadoop” and “Data Scientist”, Big Data, business intelligence and analytics have always been the domain of the biggest enterprises with huge teams to devote to analyzing data. But thanks to the latest technology advances businesses of almost any size can utilize tools to help inform every part of business decision-making. This SlashGuide looks at a recent Slashdot Pulse research study on BI/BA and discusses what’s really important when it comes to Big Data – and what businesses can do now to capitalize on the trend.
Tags : 
business analytics, big data, bi/ba, it management, knowledge management, data management, best practices
    
IBM

The Big Deal about Big SQL? Introducing Relational DBMS Users to IBM SQL Technology for Hadoop

Published By: IBM     Published Date: May 02, 2014
This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
Tags : 
ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere
    
IBM

The Forrester Wave: Enterprise Data Warehouse

Published By: SnowFlake     Published Date: Jul 08, 2016
In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
Tags : 
forrester, enterprise, data, technology, best practices, innovation, security, business integration
    
SnowFlake

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.
Tags : 
ibm, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility
    
IBM

The Horsepower of Hadoop: Fast and Flexible Insight With Results (Aberdeen Research Report)

Published By: IBM     Published Date: Jul 06, 2017
In order to exploit the diversity of data available and modernize their data architecture, many organizations explore a Hadoop-based data environment for its flexibility and scalability in managing big data. Download this white paper for an investigation into the impact of Hadoop on the data, people, and performance of today's companies.
Tags : 
hadoop, flexibility, scalability, data architecture
    
IBM

The MDM advantage: Creating insight from big data

Published By: IBM     Published Date: Jan 27, 2017
A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamlessly integrate with diverse technologies, from data marts to Apache Hadoop systems. And it must automatically discover, protect and monitor sensitive information as part of big data applications.
Tags : 
    
IBM

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
Tags : 
dimensional research, data professionals, data warehouse, cloud computing, big data, new technology, human resources services, virtualization
    
Snowflake

The truth about information governance and the cloud

Published By: IBM     Published Date: Jan 27, 2017
As with most innovations in business information technology, the ultimate truth about cloud lies somewhere in between. There is little doubt that cloud-based infrastructures offer an immediate opportunity for smaller organizations to avoid the costly investment needed for a robust on-premises computing environment. Data can be found, processed and managed on the cloud without investing in any local hardware. Large organizations with mature on-premises computing infrastructures are looking to Hadoop platforms to help them benefit from the vast array of structured and unstructured data from cloud-based sources. Organizations have feet in both cloud and on-premises worlds. In fact, one could easily argue that we already live in a “hybrid” world.
Tags : 
    
IBM

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.
Tags : 
dell, data management, data integration, big data, hadoop, small business networks, storage management, server virtualization
    
Dell

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

TIBCO Spotfire® Data Science

Published By: TIBCO Software     Published Date: Aug 15, 2018
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms. Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
Tags : 
    
TIBCO Software

Time for Prime Time: Effective Data Management for NoSQL and Hadoop Environments

Published By: Cohesity     Published Date: Aug 09, 2019
As organizations continue to look for ways to increase business agility, a need for a modern database architecture that can rapidly respond to the needs of business is more apparent than ever. While an RDBMS still serves as a lifeline for many organizations, the adoption of technologies such as NoSQL and Hadoop are enabling organizations to best address database performance and scalability requirements while also satisfying the goals of embracing hybrid cloud and becoming more data-driven. And with organizations relying so heavily on these new technologies to yield rapid insights that positively impact the business, the need to evaluate how those new technologies are managed and protected is essential. Hadoop and NoSQL workloads are now pervasive in production environments and require “production-class” data protection, yet few data protection solutions offer such capabilities today.
Tags : 
    
Cohesity

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.
Tags : 
emc, data center, storage, storage space, data protection, infrastructure, servers, backup and recovery
    
EMC

Top Reasons to Adopt Scale-Out EMC Data Lake for Hadoop

Published By: Dell EMC     Published Date: Jun 29, 2016
Traditional DAS or Scale-out NAS for Hadoop Analytics? Here are our top 8 reasons to choose a Scale-Out Data Lake on EMC Isilon for Hadoop Analytics.
Tags : 
emc isilon, storage, best practices, data, network attached storage, storage area networks, storage management, storage virtualization
    
Dell EMC

Transforming Hadoop into an Enterprise Data Center Analytics Platform

Published By: MapR Technologies     Published Date: Dec 12, 2013
Evaluator Group looks at what will make Hadoop an enterprise data center-grade analytics platform.
Tags : 
big data, big data analytics, hadoop, apache hadoop, structured data, unstructured data, business analytics, metadata
    
MapR Technologies

Turning Data Into Profit with Teradata Unified Data Architecture

Published By: Teradata     Published Date: Jun 12, 2013
Download this paper to learn how Unified Data Architecture™ can bridge the gap between the business language of SQL, the extreme processing power of MapReduce, and the big data residing in Hadoop to provide a unified, high-performance big data analytics system for the enterprise.
Tags : 
data, big data, unified data architecture
    
Teradata

Webcast: Busting 10 Myths About Hadoop

Published By: Teradata     Published Date: Jan 28, 2015
Althrough Hadoop and related technologies have been with us for several years, most business intelligence (BI) professionals and their business counterparts still harbor a few misconceptions that need to be corrected about Hadoop and related technologies such as MapReduce. This webcast presents the 10 most common myths about Hadoop, then corrects them. The goal is to clarify what Hadoop is and does relative to BI, as well as in which business and technology situations Hadoop-based BI, data warehousing and analytics can be useful.
Tags : 
teradata, business, intelligence, hadoop, data, integration, analytics, mapreduce
    
Teradata

What's the Big Deal about Big SQL?

Published By: IBM     Published Date: Mar 05, 2014
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
Tags : 
ibm, big data, ibm big sql, sql, database management, database management technology, software, tables
    
IBM

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.
Tags : 
data, data warehouse, hadoop, hadoop ecosystem, data architectures, data archiving, advanced analytics, data management
    
Teradata

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.
Tags : 
ibm, big sql, hadoop, sql, application integration, database development, data integration, data warehousing
    
IBM

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.
Tags : 
platfora, big data, hadoop, data center, big data analytics, network management, servers, blade servers
    
Platfora

Workload Automation – From Application Development to Digital Service Delivery

Published By: BMC Software     Published Date: May 28, 2014
This paper, "Workload Automation – From Application Development to Digital Service Delivery," describes how a workload automation solution can eliminate the manual processes developers now use to define batch workflows and communicate them to schedulers.By extending the use of workload automation to developers, organizations can implement applications faster, slash costs, and increase service quality.
Tags : 
big data, hadoop, it management, enterprise applications, business technology, cloud computing
    
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.
Tags : 
hadoop, batch jobs, workflow, scheduling tools, automation
    
BMC Software

[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.
Tags : 
hadoop-as-a-service, data improvement, data productivity, economic benefits, economic impact, big data, forrester, it management
    
Altiscale
Start   Previous    1 2 3 4 5 6     Next   End
Search      

Add Research

Get your company's research in the hands of targeted business professionals.