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The Business Case for Automating Document Driven Business Processes

Published By: Kofax     Published Date: Sep 08, 2011
The Kofax enterprise capture platform offers unmatched scalability from centralized to highly distributed environments, from individual desktops to enterprise deployments and from basic archival scanning to powerful document classification and separation and data extraction. The company's market leading technology supports a wide variety of input devices and line of business applications, providing a strong enterprise-wide platform on which to standardize document driven processes.
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kofax ktm, transformation modules, capture, vrs, scan to process, enterprise capture, customer-centric, automated document classification
    
Kofax

5 Ways to Maximize the Value of Your E-Commerce Video

Published By: Limelight Networks     Published Date: May 17, 2011
In this report you will learn how to optimize your e-commerce videos to improve conversion rates and boost online product sales.
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limelight networks, website performance, customer retention, online buying experience, seo, search optimization, metadata, workflow
    
Limelight Networks

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

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

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

Lights, Camera, ACTIONABLE

Published By: MarkLogic     Published Date: May 16, 2017
Getting data from today’s television and film production and post-production workflows may seem like you’re moving through molasses. Mired in manual processes, attempting to manage and automate data during the creation stage of your content’s lifecycle can sometimes feel like a losing battle as the demands of creatives constantly move forward. Hear Lulu Zezza, Physical Production Executive for New Regency Productions, Matt Turner, Media & Entertainment CTO, MarkLogic, and Guy Finley, Executive Director, Media & Entertainment Strategic Alliance (MESA) as they discuss: o Metadata’s value and its evolution, beyond delivery and experiences, to harnessing critical production data o Results of taking a new approach to bring this data together with context and meaning that impacts other business unit roles o How the New Regency team created a software driven production data hub that is enabling creatives to work seamlessly on the project, in a comfortable UI/UX driven environment, with e
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MarkLogic

Agile Enterprise Metadata Management

Published By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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enterprise, metadata, management, organizations, technology, tools, mark logic
    
MarkLogic

Agile Enterprise Metadata Management

Published By: MarkLogic     Published Date: May 07, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
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agile, enterprise, metadata, management, organization
    
MarkLogic

The Opportunity of Real World Data

Published By: MarkLogic     Published Date: May 07, 2018
Learn how Life Sciences organizations can accelerate Real World Evidence by achieving faster time to insight with a metadata-driven, semantically enriched operational platform. Real World Evidence (RWE) is today’s big data challenge in Life Sciences. Medical records, registries, consultation reports, insurance claims, pharmacy data, social media, and patient surveys all contain valuable insights that Life Sciences organizations need to ascertain and prove the safety, efficacy, and value of their drugs and medical devices. Learn how Life Sciences organizations can accelerate RWE with a metadata-driven, semantically enriched operational platform that enables them to: • Unify, harmonize and ensure governance of information from diverse data sources • Transform information into evidence that proves product efficacy and safety • Identify data patterns, connections, and relationships for faster time to insight
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data, integration, drug, device, manufacture, science
    
MarkLogic

Flashblade For EDA

Published By: Pure Storage     Published Date: Nov 02, 2017
The verification workload comprises hundreds of millions of small files, very high metadata, and extremely high performance read, write, and delete requirements. The Pure Storage FlashBlade product’s innovative design provides high IOPS and throughput, and low latency and fast deletes – yielding an average 25% faster wall clock completion time.
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effortless, efficient, smart storage, workloads, performance, flash blade, connectivity
    
Pure Storage

Guide to Supporting On-Premise Spark Deployments with a Cloud-Scale Data Platform

Published By: Pure Storage     Published Date: Dec 05, 2018
With the growth of unstructured data and the challenges of modern workloads such as Apache Spark™, IT teams have seen a clear need during the past few years for a new type of all-flash storage solution, one that has been designed specifically for users requiring high levels of performance in file- and object-based environments. With FlashBlade™, it addresses performance challenges in Spark environments by delivering the consistent performance of all-flash storage with no caching or tiering, as well as fast metadata operations and instant metadata queries.
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Pure Storage

Top 10 Checklist for Sourcing DPI.

Published By: Rohde & Schwarz Cybersecurity     Published Date: Nov 28, 2017
DPI software is made to inspect packets at high wire speeds and a critical factor is the throughput and resources required. Keeping the amount of resources that integrated DPI and application classification technology requires low is critical. The fewer cores (on a multi-core processor) and the less on-board memory an engine needs, the better. Multi-threading provides almost linear scalability on multi-core systems. In addition, highly-optimized flow tracking is required for handling millions of concurrent subscribers.
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detection, rate, performance, efficiency, accuracy, encrypted apps, integration, metadata
    
Rohde & Schwarz Cybersecurity

Six Degrees of Entertainment Discovery

Published By: Rovi     Published Date: May 17, 2013
How to Captivate Your Customer with Entertainment Connection
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video data, music data, rovi video data, movie data, tv data, movie database, video database, tv database
    
Rovi

A New View of TV Everywhere: Entertainment Unbound

Published By: Rovi     Published Date: Apr 08, 2013
An Introduction to Rovi Insight Series Volume 1
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rovi, over-the-top, ott, entertainment metadata, digital media, digital discovery, entertainment discovery, recommendations engine
    
Rovi

Entertainment Unbound: From Mobile to Multi-Screen

Published By: Rovi     Published Date: Apr 08, 2013
An introduction to Rovi Insights series Mobile World Congress 2013 Edition.
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rovi, mobile, multi-screen, high efficiency video coding, hevc, entertainment metadata, digital media, digital discovery
    
Rovi

7 Reasons Why a Comprehensive Data Management Platform Supersedes the Data Integration Toolbox

Published By: SAS     Published Date: Nov 10, 2014
Learn how data is evolving and the 7 reasons why a comprehensive data management platform supersedes the data integration toolbox that you are using these days.
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sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling
    
SAS

How to Maximize the Potential of Your Big Data

Published By: SAS     Published Date: Nov 10, 2014
Learn how this upcoming year should be the year you make your big data actionable and see what else you should be doing to maximize its potential.
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sas, data integration, data evolution, comprehensive data, data management, data virtualization, data warehouses, data profiling
    
SAS

5 Data management for analytics best practices  

Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS

A Powerful, Flexible Solution to Optimize SharePoint 2007

Published By: SchemaLogic     Published Date: Jun 11, 2008
SchemaLogic Enterprise Suite for Microsoft SharePoint 2007 (SES) resolves SharePoint issues by providing a framework that enables companies to model and connect the structures and relationships of the metadata across the entire SharePoint environment. SES continuously updates and synchronizes metadata across SharePoint site collections, Web applications and farms by leveraging and extending SharePoint’s native capabilities.
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schemalogic, sharepoint, business tools, productivity, collaboration, collaboration tool, share point, microsoft
    
SchemaLogic

Managing Metadata for Life Science Enterprises

Published By: SchemaLogic     Published Date: Jun 11, 2008
In the Life Sciences industry, information is the source of innovation. Vast varieties of content and information sources feed the development pipeline. The ability to create, share, navigate, find and protect essential information is critical to research and development groups, clinicians, regulatory agencies, marketing teams, and those who benefit the most - customers.
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pharm, pharmaceutical, pharmaceuticals, medicine, life science, chemistry, chemical, biological
    
SchemaLogic

Managing Metadata for Oil & Gas Companies: Reducing Total Installed Cost for Capital Projects

Published By: SchemaLogic     Published Date: Jun 11, 2008
Oil & Gas companies operate in an increasingly complex environment. SchemaLogic's enterprise solution for managing content and document metadata enables Oil & Gas companies to model, update and synchronize content across project document repositories or collections for greater reliability and reduced total installed cost.
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mdm, metadata management, oil, gas, petroleum, energy, content management, document management
    
SchemaLogic

Four Elastic iPaaS Requirements

Published By: SnapLogic     Published Date: Aug 17, 2015
This whitepaper addresses new elastic iPaaS requirements in detail while highlighting the importance of each.
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elastic ipaas requirements, hybrid deployments, minimal lifecycle management, future-proofing, metadata-driven integration, error management, transactional support, pre-built connectivity
    
SnapLogic

Data Quality for BASEL II

Published By: Trillium Software     Published Date: May 19, 2011
Today financial services institutions must meet the standards for data quality attestation by the FFEIC regulators of risk reporting. This paper discusses the platform and domain expertise needed to support the rigorous demands of commercial and retail risk reporting.
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trillium software, data quality management, basel ii solution, data profiling, data monitoring, metadata, data supporting risk, grc
    
Trillium Software
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