unstructured data

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By: Acquia     Published Date: Sep 14, 2011
With Drupal, it is easy to produce engaging, content rich websites, incorporate both structured and unstructured data sources, and blend published information with user-generated content.
Tags : acquia, technology, drupal, assmebled web, content rich websites, user-generated content, data sources
     Acquia
By: Red Hat     Published Date: Dec 19, 2017
IT leaders are looking to deliver agile, scalable and cost-effective storage for ever-increasing amount of unstructured data. This research assesses the key attributes, vision and executional prowess of distributed file systems and object storage vendors.
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     Red Hat
By: IBM Software     Published Date: Sep 13, 2011
Read this white paper to learn five practical steps your company can take to achieve customer intimacy: 1. Plan your goals, methodology and metrics; 2. Capture the right customer information, including structured and unstructured data; 3. Predict customer behaviors; 4. Act on these insights with relevant, timely offers to optimize the predicted outcome; and 4. Expand successes into other areas.
Tags : ibm, business performance, customer intimacy, technology, conversion rate, business analytics
     IBM Software
By: IBM     Published Date: Nov 29, 2012
This white paper presented by IDC Health Insights and IDC's Search and Discovery Technologies research practice and sponsored by IBM. Read more of this white paper to gain insight into the value of mining unstructured data in more.
Tags : ibm, unstructured data, data mining, data organization, data refinement, healthcare
     IBM
By: NetApp     Published Date: Dec 12, 2013
IT managers have indicated their two most significant challenges associated with managing unstructured data at multiple locations were keeping pace with data growth and improving data protection. Learn how the NetApp Distributed Content Repository provides advanced data protection and system recovery capabilities that can enable multiple data centers and remote offices to maintain access to data through hardware and software faults.
Tags : netapp, lab validation, distibuted content repositor, big content scalability, enterprise reliability, intelligent object management, data management, data center
     NetApp
By: Dell EMC     Published Date: Nov 03, 2015
This white paper details how the EMC Isilon OneFS architecture provides high availability and data protection needed to meet the challenges organizations face as they deal with the deluge of digital content and unstructured data and the growing importance of data protection.
Tags : emc, data protection. isilon, nas, digital content, security, data center
     Dell EMC
By: Dell EMC     Published Date: Nov 03, 2015
View the infographic to see why head to head against the competition, Isilon wins every time.
Tags : emc, data storage, unstructured data, isilon, nas
     Dell EMC
By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand.
Tags : data, lake, amazon, web, services, aws
     AWS
By: CrowdStrike     Published Date: May 10, 2018
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the proverbial “needle in the haystack” – the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack. In this context, detecting attacks is often difficult, and sometimes impossible. This white paper describes how CrowdStrike solved this challenge by building its own graph data model – the CrowdStrike Threat Graph? – to collect and analyze extremely large volumes of security-related data, and ultimately, to stop breaches. This revolutionary approach applies massive graph-based technologies, similar to the ones developed by Facebook and Google, to detect k
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     CrowdStrike
By: RolePoint     Published Date: Apr 12, 2016
Over the last three years, social networks have experienced exponential growth. Employee networks have grown accordingly, offering access to structured career data through sites like LinkedIn in particular, and unstructured data through networks like Facebook. Employees are continually adding new contacts and growing personal networks. Job posting tools that share jobs into social networks are often described as social referral tools, though this is an inaccurate and misleading description. The more sophisticated of these tools create unique links for sharing that enable employers to identify which of their employees originated the share. This is useful for recognition and reward, whilst the practice of sharing jobs in the wider network is to be encouraged in order to reach job seekers who are browsing or using search engines to identify opportunities. Job seekers are increasingly connecting with their peers in organizations they want to work for. Encouraging employees to share jobs in
Tags : rolepoint, social referral, facebook, linkedin, career data, personal network, data management
     RolePoint
By: Sponsored by HP and Intel®     Published Date: Feb 20, 2013
Between increased use of server virtualization, the dynamic proliferation of private cloud, the ever-growing unstructured data pool, and the advent of “big data,” organizational data is going to continue to grow. Learn more about what HP has in store
Tags : dedupe 2.0, store(once), deduplication, strategy, data source, it management, data management, data center
     Sponsored by HP and Intel®
By: Sponsored by HP and Intel® Xeon® processors     Published Date: Apr 11, 2013
Between increased use of server virtualization, the dynamic proliferation of private cloud, the ever-growing unstructured data pool, and the advent of “big data,” organizational data is going to continue to grow. Learn more about what HP has in store
Tags : dedupe 2.0, store(once), deduplication, strategy, data source
     Sponsored by HP and Intel® Xeon® processors
By: IBM     Published Date: Apr 29, 2014
For banks, mining data from social media can be a significant way to gain insights into customer mindsets and behavior, but effectively and accurately capturing and processing this unstructured data to gain useful customer insight requires sophisticated tools and advanced analytics.
Tags : ibm, banking, data mining, social media, consumer insights, business analytics, social business, business technology
     IBM
By: SAP     Published Date: Jan 19, 2010
Your information can be one of your greatest assets - helping you stay on top of regulatory requirements, close to customers, and ahead of the competition. Organizations that pay attention to their data will be the ones to survive and thrive. So how do you obtain a complete view of your information when it is scattered across silos? Or integrate data from structured and unstructured data sources? Or help reduce the risk of inaccurate reporting? And how do you manage your information more effectively to help keep costs from spiraling out of control?
Tags : sap, eim, enterprise information management, erp, crm, etl
     SAP
By: IBM     Published Date: Jul 01, 2015
The impact of streaming analytics and leveraging expertise in the healthcare sector.
Tags : data insights, healthcare data, healthcare analytics, unstructured content analytics, computation-intensive analytics, ibm big data, enterprise-class data management
     IBM
By: Group M_IBM Q418     Published Date: Sep 10, 2018
LinuxONE from IBM is an example of a secure data-serving infrastructure platform that is designed to meet the requirements of current-gen as well as next-gen apps. IBM LinuxONE is ideal for firms that want the following: ? Extreme security: Firms that put data privacy and regulatory concerns at the top of their requirements list will find that LinuxONE comes built in with best-in-class security features such as EAL5+ isolation, crypto key protection, and a Secure Service Container framework. ? Uncompromised data-serving capabilities: LinuxONE is designed for structured and unstructured data consolidation and optimized for running modern relational and nonrelational databases. Firms can gain deep and timely insights from a "single source of truth." ? Unique balanced system architecture: The nondegrading performance and scaling capabilities of LinuxONE — thanks to a unique shared memory and vertical scale architecture — make it suitable for workloads such as databases and systems of reco
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     Group M_IBM Q418
By: SPSS Inc.     Published Date: Mar 31, 2009
Learn the benefits and advantages of using text analysis to gain the most value from your surveys.
Tags : spss, text analysis, coding survey text, categorization, pre-built categories, spss text analysis, open ended questions, project wizard
     SPSS Inc.
By: Splunk     Published Date: Apr 16, 2012
Discover a unique approach to handling large, semi-structured or unstructured time-series data. Splunk can be deployed in a matter of days to provide rapid cross-correlation between different data types-giving you unprecedented operational visibility.
Tags : splunk, data, analyzying, decision making, ime-series data, log management, log management software, manage logs
     Splunk
By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
Tags : visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence
     Datawatch
By: Oracle Social Cloud     Published Date: Jan 14, 2015
Social media allows consumers to be empowered in a brand new way, forcing organizations to change the way they traditionally do business. With unprecedented access to unstructured and structured data, companies have more information about the customer’s entire lifecycle than ever before.
Tags : customer experience, chief digital officer, digital, social marketing, social intelligence, cmo, oracle, research
     Oracle Social Cloud
By: Exablox     Published Date: Jan 27, 2015
As your organization grows, you need the ability to quickly and non-disruptively scale storage capacity to meet the increasing amounts of high-density graphic images, streaming media and other unstructured data. However, when using traditional storage methods, it can be complicated and expensive for you to scale capacity to meet your needs. In this second of a series of informative e-books from Exablox, we take a look at the di?iculties of traditional storage approaches, and o?er simple, practical ways to make your data storage easier to scale.
Tags : enterprise storage, unstructured data, data mangement, data recovery, data availability, storage performance, exablox, oneblox
     Exablox
By: IBM     Published Date: Aug 05, 2014
Watson Explorer provides organizations with a combined, trusted 360-degree view of both structured and unstructured data. The solution indexes information from unstructured data sources (PDFs, Microsoft SharePoint, flat files, social media, blogs and so on) as well as structured sources for search and discovery. Organizations can leverage their data in place, respecting existing security models when creating this virtual access point to all information. Watson Explorer requires trusted master data to ensure that links are accurate and reliable, so the end user can confidently leverage a holistic view of a customer or product.
Tags : ibm, data, customer, watson explorer, master data, structured, it management, data management
     IBM
By: IBM     Published Date: Aug 05, 2014
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three V’s of Volume, Velocity, and Variety. In other words, Big Data is often characterized as high-volume, streaming, and including semi-structured and unstructured formats. Healthcare organizations have produced enormous volumes of unstructured data, such as the notes by physicians and nurses in electronic medical records (EMRs). In addition, healthcare organizations produce streaming data, such as from patient monitoring devices. Now, thanks to emerging technologies such as Hadoop and streams, healthcare organizations are in a position to harness this Big Data to reduce costs and improve patient outcomes. However, this Big Data has profound implications from an Information Governance perspective. In this white paper, we discuss Big Data Governance from the standpoint of three case studies.
Tags : ibm, data, big data, information, healthcare, governance, technology, it management
     IBM
By: IBM     Published Date: Oct 22, 2014
Great service is delivered one customer at a time and improving interactions across all channels means truly understanding customer wants and needs. Massive amounts of unstructured data exist in your organization and can deliver customer insight that is specific, relevant and actionable. Learn how to harness that data to provide great customer service.
Tags : customer service, service quality, customer satisfaction, content management, it management, data management
     IBM
By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : big data, ibm, big data outcomes, information governance, big data analytics, it management, data management, data center
     IBM
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