Cookie policy: This site uses cookies (small files stored on your computer) to simplify and improve your experience of this website. Cookies are small text files stored on the device you are using to access this website. For more information on how we use and manage cookies please take a look at our privacy and cookie policies. Some parts of the site may not work properly if you choose not to accept cookies.

sections
 

data sets

Results 126 - 150 of 249Sort Results By: Published Date | Title | Company Name
Published By: CA Technologies EMEA     Published Date: May 23, 2018
Increasingly, enterprises are opening their data and applications to partners, developers, mobile apps and cloud services. APIs provide a standardized way to open up information assets across the web, mobile devices, serviceoriented architecture (SOA) and the cloud. However, to make API information sharing safe, reliable and cost-effective, enterprises must deal with critical security, performance management and data adaptation challenges. CA API Management combines advanced functionality for back-end integration, mobile optimization, cloud orchestration and developer management. It is unique in its ability to address the full breadth of enterprise API management challenges.
Tags : 
    
CA Technologies EMEA
Published By: Motorola Solutions     Published Date: Nov 29, 2018
When it comes to worker safety, mitigating downtime, and boosting productivity, nothing is faster than right NOW. Organizations across various industry segments — construction, food and beverage, chemical and industrial, and transportation equipment manufacturers — are juggling a mix of communication devices, slowing response times. Gaps in coverage, poor battery life and aging equipment reduce your ability to safely and efficiently meet production deadlines. The power of NOW puts instant communications at your workers’ fingertips — because when communication slows, production slows. Manufacturers today are under immense pressure to produce goods safely, efficiently and profitably. Meeting these goals requires reliable, clear voice and data communications. So the production line is always moving. So well-executed logistics exceed expectations. So materials and operations are tracked to maintain efficiency. So your most valuable assets — your people — are safe and connected. Unified tea
Tags : 
    
Motorola Solutions
Published By: Pure Storage     Published Date: Dec 05, 2018
Advances in deep neural networks have ignited a new wave of algorithms and tools for data scientists to tap into their data with artificial intelligence (AI). With improved algorithms, larger data sets, and frameworks such as TensorFlow, data scientists are tackling new use cases like autonomous driving vehicles and natural language processing. Read this technical white paper to learn reasons for and benefits of an end-to-end training system. It also shows performance benchmarks based on a system that combines the NVIDIA® DGX-1™, a multi-GPU server purpose-built for deep learning applications and FlashBlade, a scale-out, high performance, dynamic data hub for the entire AI data pipeline.
Tags : 
    
Pure Storage
Published By: ParAccel     Published Date: Dec 16, 2010
This solution brief explains how Fidelity Information Services (FIS) executives realized that they needed an analytics database solution that could keep up with additional fraud complexity as well as much larger sets of data to improve detection rates.
Tags : 
paraccel, analytic database, financial fraud analytics, fidelity information services
    
ParAccel
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
Tags : 
    
Amazon Web Services
Published By: HP Data Center     Published Date: Mar 25, 2009
When considering server virtualization, planning and design are critical.  How do you optimize your environment through virtualization?  How do you keep your server sprawl from becoming virtual server sprawl?  How will a virtualized environment help your business?  Will your existing data center meet current, and future, business requirements? Answer your Questions today!
Tags : 
hp data center, virtualization, server planning, server design, server sprawl, tco, roi, server consolidation, decentralized environments, centralized environments, it assets, data center design, eos, data center design and management
    
HP Data Center
Published By: ParAccel     Published Date: Nov 15, 2010
This solution brief explains how Fidelity Information Services (FIS) executives realized that they needed an analytics database solution that could keep up with additional fraud complexity as well as much larger sets of data to improve detection rates.
Tags : 
paraccel, analytic database, financial fraud analytics, fidelity information services
    
ParAccel
Published By: Quest Software     Published Date: Jul 28, 2011
In this white paper Quest's data protection experts offer five tips for effective backup and recovery to help you avoid the challenges that might keep you from fully protecting your virtual assets and infrastructure.
Tags : 
quest, storage virtualization, it management, systems management solutions, virtualization managemen, windows, database, application, oem, innovation accelerator, smb, recovery, data protection, identity management, development, optimization, access management, migration, consolidation, performance
    
Quest Software
Published By: ForeScout     Published Date: Aug 14, 2012
Business wants more fluid access to data while IT organizations must maintain security. As the variety of access and multitude of threats to network resources and sensitive information have grown, so has the need for more flexible and automated ways to effectuate security policies, controls and enforcement. Rarely is this need more keenly felt than at the network endpoint, where people, technology, information assets and requirements for security and compliance meet most directly.
Tags : 
pragmatic, path, achieving nac results, essential implementation, process, control, consideration, data, access, it organization, security, protection, network, access, control, nac, interoperability, 802.1x standards, control, options
    
ForeScout
Published By: McAfee     Published Date: Feb 06, 2013
Gartner defines "big data analytics" as the practices and technology used to pursue emerging and divergent pattern detection as well as enhance the use of previously disconnected information assets.
Tags : 
big data analytics, gartner, big data, big security data, advanced targeted attacks, advanced persistent threats, atas, context aware security intelligence, threat intelligence, siem
    
McAfee
Published By: McAfee     Published Date: Mar 08, 2013
Databases store companies’ most valuable information assets, but in most cases they’re poorly protected. It’s important to secure databases as well as or better than other systems in the enterprise. But it’s not that simple.
Tags : 
real-time database monitoring, database authentication, database access control, database activity monitoring, database intrusion prevention, authentication and access control, database security
    
McAfee
Published By: QTS Data Centers     Published Date: Mar 31, 2015
One of IT’s biggest balancing acts is to make data transactions easily available to authorized users while preventing all others from accessing its data assets. With high-profile data security breaches splashed across headlines nearly every day, CIOs are understandably worried about protecting their data. And for IT leaders who are considering moving their business to the cloud it is critical to ensure the provider they select has undertaken full and robust measures for physical and logical security.
Tags : 
qts, cloud, security, data transactions, cio report, cyber threats, security breaches, it leaders, it management
    
QTS Data Centers
Published By: Adobe     Published Date: Jun 26, 2019
Customers expect to have the same experience with a store no matter where they are shopping – in a brick and mortar location, on the store’s website via laptop or on the store’s app via mobile device. Combining online and offline data helps retailers stay informed about their customers so they can drive customer loyalty and increase revenue.
Tags : 
    
Adobe
Published By: Gigaom     Published Date: Sep 16, 2019
We’ve heard it before. A data warehouse is a place for formally-structured, highly-curated data, accommodating recurring business analyses, whereas data lakes are places for “raw” data, serving analytic workloads, experimental in nature. Since both conventional and experimental analysis is important in this data-driven era, we’re left with separate repositories, siloed data, and bifurcated skill sets. Or are we? In fact, less structured data can go into your warehouse, and since today’s data warehouses can leverage the same distributed file systems and cloud storage layers that host data lakes, the warehouse/lake distinction’s very premise is rapidly diminishing. In reality, business drivers and business outcomes demand that we abandon the false dichotomy and unify our data, our governance, our analysis, and our technology teams. Want to get this right? Then join us for a free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guest, Dav
Tags : 
    
Gigaom
Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
Tags : 
    
AWS
Published By: Datastax     Published Date: Apr 04, 2017
Graph databases are changing how we use data. But first, an example – you're (probably) a human working on a project and looking at graph databases as a potential solution. While we're a company that has a graph database that hopefully solves your problem. Now we could store that data in a boring relational database, but how do we do more than that? For instance, using that data, when combined with other data points, to find other people like you and recommend our solution to them? This is where a graph can come in handy. The friendly graph data model makes it easy to use patterns of relationships within large data sets. By leveraging those relationships we can analyze, or create better real-time experiences. Why Graph explores why this graph database 'thing' is really a thing, how they compare to other database systems, and the use cases they best support.
Tags : 
graph, database, datastax
    
Datastax
Published By: Zebra Technologies     Published Date: Jun 15, 2017
Zebra’s broad range of enterprise-level, healthcare-designed, end-to-end solutions provides a wealth of benefits throughout a healthcare facility, enabling clinicians, staff and administrators to sense, analyze and act in real time. Identity solutions can help improve accuracy and enhance patient safety, deliver greater operational efficiency and caregiver confidence, and improve the patient experience. Mobility solutions help improve staff communication and collaboration with enterprise effectiveness and workflow efficiency. Intelligence solutions offer greater visibility to data on patients, staff, assets and the facility overall for better decision making.
Tags : 
overview, brochure, zebra, enterprise, healthcare, solutions, mobility
    
Zebra Technologies
Published By: Infosys BPM Ltd     Published Date: Feb 12, 2019
The role of FP&A professionals during the first two weeks of the month entails rushing for month closure, gathering data sets, reports, and scrutinizing, processing and analyzing data in Excel workbooks in discussion with the top management. Increasing revenues, optimizing costs, and aligning with the overall business strategy are a few familiar goals laid down for financial planning and analysis (FP&A) professionals. These goals trickle down from finance leaders who are under constant pressure to provide accurate and timely reporting and analysis to support effective decision making. Read on to know how can digitizing FP&A help the finance team to make more robust decisions and be a key part of the finance transformation.
Tags : 
    
Infosys BPM Ltd
Published By: Citrix     Published Date: Jan 20, 2009
With server virtualization now well established in the world's datacenters, IT leaders are turning their attention to virtualizing and centralizing desktop PCs to address some of their toughest computing challenges: . Managing complex end-user hardware and software infrastructure . Securing networks and information assets . Supporting a global workforce in an environment of constant change
Tags : 
citrix, virtualization, desktop virtualization, blade pc, on demand, hdx, xendesktop, sla, service level agreement, scalable, streamline, tco, view composer, virtual machine, total cost of ownership, hyper-v, microsoft, datacenter, server virtualization, servers
    
Citrix
Published By: HP     Published Date: Jun 23, 2008
HP is increasingly demonstrating that its vision includes positioning itself as an innovator at the high end especially with respect to managing heterogeneous storage assets. HP appears to be a leading proponent of avoiding dreams of owning the entire data center storage infrastructure. Rather its aim appears to add customer value by recognizing and accommodating the diversity of installed storage assets at customer sites.
Tags : 
hp disaster proof, disaster proof, disaster-proof, storage, storageworks, continuous access, high availability
    
HP
Published By: SRC,LLC     Published Date: Jun 01, 2009
Companies spend millions of dollars every year on building data warehouses, buying business intelligence (BI) software tools and managing their analytic processes in the hope of gaining consumer insight and winning market share. Yet, many companies fail to realize the full benefits of their technology investments because they are hamstrung by the layers of expertise and the complexity of technology tools needed to integrate various data warehouses and associated tools within their existing analytic environments. Since analysis is only as good as the accessibility, timeliness and accuracy of the information being analyzed, the interoperability of any data warehouse with any analytic environment is essential to achieving insightful, actionable analysis and making better decisions.
Tags : 
src, enterprise, streamline, analytics, economy, analytic imperative, business intelligence, seamless, data warehouse, interoperability, analytic environment, data assets, report generation, output options, total cost of ownership, tco, roi, return on investment, olap, enterprise applications
    
SRC,LLC
Published By: SRC,LLC     Published Date: Jun 01, 2009
Today, organizations are collecting data at every level of their business and in volumes that in the past were unimaginable. Data sets are stored in different database systems or in files with distinctive formats, all reflecting business process, application, program software, or information type dependencies. Adding to this complexity is the distribution of these data sets across the enterprise in silos requiring a varied set of tools and/or specialized business rules for data transformation, classification, matching, and integration. Because of the massive amounts of data stored in a variety of representation formats, decision makers strain to derive insights and create business solutions that adequately span and integrate information from these disparate technology islands. Learn more today!
Tags : 
src, data transformation, classification, business value, geographic business intelligence, geo-bi, etl, extract, transform, load, spatial analysis, operational data stores, ods, spatial data, etl, cdi, point of sale, retail floor space management, rfsm, alteryx
    
SRC,LLC
Published By: SRC,LLC     Published Date: Jun 01, 2009
We work in an ever-changing landscape of competitors, market forces, customer relationships, partner alliances, political and regulatory pressures, and global climate effects. The common mechanism for coping effectively with change is to refer to canned reports and dashboards, dump reporting data into a spreadsheet and look for answers to today's questions. All too often, we have to rely on estimates rather than models, and gut feel rather than data, because we can't get answers in a timely fashion. Yet we know that the answers lie hidden in the morass of corporate data.
Tags : 
business intelligence, src, capabilities, unified enterprise, spatial intelligence, alteryx, oracle, netezza, teradata, gui, ford, experian, sql, enterprise applications
    
SRC,LLC
Published By: Kaseya     Published Date: Mar 12, 2015
Turn management data into actionable business information that helps create operational efficiencies and demonstrate value.
Tags : 
data management, business information, audits, inventory information, it policies, automation management systems, it assets, it solutions
    
Kaseya
Published By: JBoss Developer     Published Date: Oct 21, 2016
Digital transformation (DX) is the continuous process by which enterprises adapt to or drive disruptive change by leveraging digital competencies, such as harnessing sensor data or using location, customer profile, and a mobile app to make shopping recommendations. DX reshapes the organization's culture where required; leverages existing processes, systems, and assets; and creates net-new digital capabilities as needed. With DX, there is the need to embrace new business models and new architectures and technologies that will help an enterprise with customer-facing innovation as well as transition existing systems, processes, organization structure, and relationships to support the transformation.
Tags : 
api, market intelligence, advisory services, digital transformation, data
    
JBoss Developer
Start   Previous    1 2 3 4 5 6 7 8 9 10    Next    End
Search      

Related Topics

Add Research

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