data systems

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Published By: BigCommerce     Published Date: Oct 16, 2018
Businesses who have lived through the evolution of the digital age are well aware that we’ve experienced a generational shift in technology. The rise of software as a service (SaaS), cloud, mobile, big data, the Internet of Things (IoT), social media, and other technologies have disrupted industries and changed customers’ expectations. In our always-on, buy anything anywhere world, customers want their shopping experiences to be personalized, dynamic, and convenient. As a result, many businesses are trying to reinvent themselves. Success in a fast-paced economy depends on continually adapting and innovating. Companies have to move quickly to keep up; there’s no time for disjointed technologies and old systems that don’t serve the customer-obsessed mentality needed to thrive in the digital age.
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BigCommerce
Published By: BigCommerce     Published Date: Oct 16, 2018
Whether your company has been selling online for 20 minutes or 20 years, you are undoubtedly familiar with the PCI DSS (Payment Card Industry Data Security Standard). It requires merchants to create security management policies and procedures for safeguarding customers’ payment data. Originally created by Visa, MasterCard, Discover, and American Express in 2004, the PCI DSS has evolved over the years to ensure online sellers have the systems and processes in place to prevent a data breach.
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BigCommerce
Published By: VMware     Published Date: Dec 10, 2018
It’s no secret financial services organizations own and operate legacy solutions. Some of these core processes are front and center, meeting customer needs; others are in the middle, supporting account handling operations; and still many more are in the back-office, handling data and managing analytics. The challenge for financial leaders is to ensure these traditional systems don’t prevent the delivery of great digital experiences now and into the future. To find out more download this eBook today.
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VMware
Published By: Here Technologies     Published Date: Sep 27, 2018
Location has become paramount to building new apps, services, experiences and business models. If data is the new oil, then location is the crude oil. This is why most of the top location platform players have been developing technologies to power next-generation autonomous mobility systems. And the “richness” of location data and real-time intelligence are becoming strong monetization opportunities. The 2018 Counterpoint Research Location Ecosystems Update compared 16 location platform vendors, including Google, TomTom and Mapbox. Learn why the HERE Open Location Platform – described as super-rich, always up-to-date, and a neutral offering – is a leader in the location data arena.
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Here Technologies
Published By: Here Technologies     Published Date: Oct 16, 2018
In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach. VSI tested the lane keeping system with and without map data on a local road in 3 scenarios: Lane lines expanding into a turn or exit lane An intersection without lane lines A widening in the lane The results show that in all scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems. This report proves that using a lane model from an HD map can solve common issues involved in computer-vision-only lane keeping.
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Here Technologies
Published By: Here Technologies     Published Date: Dec 05, 2018
Car data consumption is critically important to auto manufacturers. As more vehicles are produced with built-in infotainment systems, the cost of supplying them with live information and real-time updates via a data connection grows ever greater. Auto manufacturers need to be able to enhance the driving experience with smart traffic, navigation, and entertainment services, while reducing costs and data volumes. HERE is the world’s leading provider of traffic data to the automotive industry. This eBook shows how HERE optimizes traffic solutions and it outlines how data use modelling, standardization, and good data management can help reduce usage.
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traffic data, auto, location data
    
Here Technologies
Published By: Lookout     Published Date: Dec 13, 2018
The world has changed. Yesterday everyone had a managed PC for work and all enterprise data was behind a firewall. Today, mobile devices are the control panel for our personal and professional lives. This change has contributed to the single largest technology-driven lifestyle change of the last 10 years. As productivity tools, mobile devices now access significantly more data than in years past. This has made mobile the new frontier for a wide spectrum of risk that includes cyber attacks, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. A secure digital business ecosystem demands technologies that enable organizations to continuously monitor for threats and provide enterprise-wide visibility into threat intelligence. Watch the webinar to learn more about: What makes up the full spectrum of mobile risks Lookout's Mobile Risk Matrix covering the key components of risk How to evolve beyond mobile device management
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Lookout
Published By: Lookout     Published Date: Mar 28, 2018
Mobile devices have rapidly become ground zero for a wide spectrum of risk that includes malicious targeted attacks on devices and network connections, a range of malware families, non-compliant apps that leak data, and vulnerabilities in device operating systems or apps. Read the four mobile security insights CISOs must know to prepare for a strategic conversation with the CEO and board about reducing mobile risks and the business value associated with fast remediation of mobile security incidents.
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Lookout
Published By: Splunk     Published Date: Nov 29, 2018
DevOps allows teams to effectively build, test, release, and respond to your software. But creating an agile, data-driven culture is easier said than done. Developer and devops teams struggle with lack of visibility into application monitoring tools and systems, accelerated time-to-market pressure, and increased complexity throughout the devops lifecycle process. As a Splunk customer, how are you using your machine data platform to adopt DevOps and optimize your application delivery pipeline? Download your copy of Driving DevOps Success With Data to learn: How machine data can optimize your application delivery The four key capabilities DevOps teams must have to optimize speed and customer satisfaction Sample metrics to measure your DevOps processes against
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devops, devops tools, continuous delivery, devops methodology
    
Splunk
Published By: Group M_IBM Q418     Published Date: Oct 15, 2018
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data. Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
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Group M_IBM Q418
Published By: Workday     Published Date: Sep 19, 2018
The data deluge problem isn’t just about the amount of internal, operational data being stored, but also the level of granularity available. The finance and HR teams of many institutions still operate on outdated systems that are only able to store aggregate data with complex details summarized. While these systems may be sufficient for the purpose of financial reporting, they’re unable to keep up with the level of complexity needed to drive business decisions.
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Workday
Published By: Pure Storage     Published Date: Dec 05, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
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Pure Storage
Published By: MuleSoft     Published Date: Nov 27, 2018
Traditional insurers are no longer safe with insurtechs challenging incumbents to rethink their business and operating models. This mass disruption creates increased pressure on IT to deliver intrinsic business value, including new services, customer touchpoints, and experiences. Successful insurance transformation requires rethinking the traditional IT operating model to allow IT to focus on creating reusable assets that empower lines of business. Doing so increases IT’s delivery capacity, making businesses more agile. Read this whitepaper to learn: An overview of the challenges insurers are facing in the industry. How a new IT operating model – API-led connectivity – allows IT teams to unlock data from legacy systems and drive reuse across the enterprise. Strategies for using APIs to create a single view of the customer and build connected customer experiences.
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MuleSoft
Published By: ASG Software Solutions     Published Date: Feb 24, 2010
A recent survey of CIOs found that over 75% want to develop an overall information strategy in the next three years, yet over 85% are not close to implementing an enterprise-wide content management strategy. Meanwhile, data runs rampant, slows systems, and impacts performance. Hard-copy documents multiply, become damaged, or simply disappear.
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asg, cmdb, bsm, itil, bsm, metacmdb, archiving, sap, ilm, mobius, workload automation, wla, visibility, configuration management, metadata, metacmdb, lob, sdm, service dependency mapping, ecommerce
    
ASG Software Solutions
Published By: APC by Schneider Electric     Published Date: Feb 09, 2011
In the broadening data center cost-saving and energy efficiency discussion, data center physical infrastructure preventive maintenance (PM) is sometimes neglected as an important tool for controlling TCO and downtime. PM is performed specifically to prevent faults from occurring. IT and facilities managers can improve systems uptime through a better understanding of PM best practices.
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absolute, data protection, maitenance, ups, physical infrastructure, infrastructure, data loss protection, dlp, ponemon, it security, sensitive data
    
APC by Schneider Electric
Published By: Cisco EMEA     Published Date: Nov 13, 2017
The HX Data Platform uses a self-healing architecture that implements data replication for high availability, remediates hardware failures, and alerts your IT administrators so that problems can be resolved quickly and your business can continue to operate. Space-efficient, pointerbased snapshots facilitate backup operations, and native replication supports cross-site protection. Data-at-rest encryption protects data from security risks and threats. Integration with leading enterprise backup systems allows you to extend your preferred data protection tools to your hyperconverged environment.
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hyperflex, systems, data platform, storage efficiency, business, cisco
    
Cisco EMEA
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: HPE     Published Date: Jan 04, 2016
EMC to 3PAR Online Import Utility leverages storage federation and Peer Motion to migrate data from EMC Clariion CX4 and VNX systems to HP 3PAR StoreServ. In this ChalkTalk, HPStorageGuy Calvin Zito gives an overview.
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HPE
Published By: HPE Intel     Published Date: Mar 15, 2016
Are you asking the right questions about your data center? • Would you like your IT infrastructure to be faster and more agile? • Would you like to improve your cost structure? • Do you plan to adopt a hybrid IT infrastructure and become a service provider for your business? To adapt to and compete in our ultra-connected, data-driven, and digital world, you need to effectively plan, build, integrate, and manage your facilities, platforms, and systems to efficiently align your infrastructure resources.
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HPE Intel
Published By: Hewlett Packard Enterprise     Published Date: Aug 15, 2016
The increasing demands of application and database workloads, growing numbers of virtual machines, and more powerful processors are driving demand for ever-faster storage systems. Increasingly, IT organizations are turning to solid-state storage to meet these demands, with hybrid and all-flash arrays taking the place of traditional disk storage for high performance workloads. Download this white paper to learn how you can get the most from your storage environment.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
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database usage, database management, server usage, data protection
    
Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Mar 26, 2018
Today’s data centers are expected to deploy, manage, and report on different tiers of business applications, databases, virtual workloads, home directories, and file sharing simultaneously. They also need to co-locate multiple systems while sharing power and energy. This is true for large as well as small environments. The trend in modern IT is to consolidate as much as possible to minimize cost and maximize efficiency of data centers and branch offices. HPE 3PAR StoreServ is highly efficient, flash-optimized storage engineered for the true convergence of block, file, and object access to help consolidate diverse workloads efficiently. HPE 3PAR OS and converged controllers incorporate multiprotocol support into the heart of the system architecture
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: Apr 20, 2018
In an innovation-powered economy, ideas need to travel at the speed of thought. Yet even as our ability to communicate across companies and time zones grows rapidly, people remain frustrated by downtime and unanticipated delays across the increasingly complex grid of cloud-based infrastructure, data networks, storage systems, and servers that power our work.
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Hewlett Packard Enterprise
Published By: Freshdesk     Published Date: Aug 15, 2016
When 76% of consumers say they view customer service as the true test of how much a company values them, you have to make sure that your strategy, and tool, are top notch. Here's a collection of best practices, drawn from our conversations with customers, to help you improve your agents' productivity and win customer love. In this whitepaper, we detail how you can - Provide your agents with complete context by pulling data from your third party systems into your helpdesk - Reduce ticket volume and help customers help themselves by setting up a knowledge base - Automatically assign tickets to the right team with ease thus reducing your agent's workload and many more!
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Freshdesk
Published By: Commvault     Published Date: Jul 06, 2016
Today, nearly every datacenter has become heavily virtualized. In fact, according to Gartner as many as 75% of X86 server workloads are already virtualized in the enterprise datacenter. Yet even with the growth rate of virtual machines outpacing the rate of physical servers, industry wide, most virtual environments continue to be protected by backup systems designed for physical servers, not the virtual infrastructure they are used on. Even still, data protection products that are virtualization-focused may deliver additional support for virtual processes, but there are pitfalls in selecting the right approach. This paper will discuss five common costs that can remain hidden until after a virtualization backup system has been fully deployed.
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storage, backup, recovery, best practices, networking, it management, enterprise applications, data management
    
Commvault
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