data usage

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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: Druva     Published Date: Nov 09, 2018
The rise of virtualization as a business tool has dramatically enhanced server and primary storage utilization. By allowing multiple operating systems and applications to run on a single physical server, organizations can significantly lower their hardware costs and take advantage of efficiency and agility improvements as more and more tasks become automated. This also alleviates the pain of fragmented IT ecosystems and incompatible data silos. Currently, this virtualization juggernaut shows no sign of slowing. As businesses recognize the potential for increased reliability and scalability offered by virtual technology, they are ramping up their investments in data center modernization and upgrading. In fact, 33 percent of the respondents to a recent ESG survey on cloud usage said that making greater use of server virtualization was one of their top five spending priorities for the next 12 to 18 months.
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Druva
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 04, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technology
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Amazon Web Services
Published By: SAS     Published Date: Aug 28, 2018
Starting data governance initiatives can seem a bit daunting. You’re establishing strategies and policies for data assets. And, you’re committing the organization to treat data as a corporate asset, on par with its buildings, its supply chain, its employees or its intellectual property. However, as Jill Dyché and Evan Levy have noted, data governance is a combination of strategy and execution. It’s an approach that requires one to be both holistic and pragmatic: • Holistic. All aspects of data usage and maintenance are taken into account in establishing the vision. • Pragmatic. Political challenges and cross-departmental struggles are part of the equation. So, the tactical deployment must be delivered in phases to provide quick “wins” and avert organizational fatigue from a larger, more monolithic exercise. To accomplish this, data governance must touch all internal and external IT systems and establish decision-making mechanisms that transcend organizational silos. And, it must provi
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SAS
Published By: Citrix     Published Date: Jun 15, 2018
The world of IT is undergoing a digital transformation. Applications are growing fast, and so are the users consuming them. These applications are everywhere—in the datacenter, on virtual and/or microservices platforms, in the cloud, and as SaaS. More and more apps are now being moved out of datacenters to a cloud-based infrastructure. In order for an optimized and secure delivery of these applications, IT needs specific network appliances called Application Delivery Controllers (ADCs). These ADCs come in hardware, virtual, and containerized form factors, and are sized by Network Administrators based on the current and future usage of applications. The challenge with this is that it’s hard to foresee sizing or scalability requirements for these ADCs since users are constantly increasing, and applications are consistently evolving, as well as moving out of datacenters. Complicating matters, most ADCs are fixed-capacity network appliances that provide zero or minimum expansion capability
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Citrix
Published By: IBM APAC     Published Date: Apr 27, 2018
While relying on x86 servers and Oracle databases to support their stock trading systems, processing rapidly increasing number of transactions fast became a huge challenge for Wanlian Securities. They shifted to IBM FlashSystem that helped them cut average response time for their Oracle Databases from 10 to less than 0.4 milliseconds and improved CPU usage by 15%. Download this case study now.
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IBM APAC
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Your customers are asking for it. Your developers are ready for it. Your operations team is demanding it. What’s behind this momentum? Software-as-a-Service (SaaS) is a fundamental shift away from traditional software licensing to a market-driven subscription model. Keystone engaged 20 ISVs who successfully transitioned to a SaaS model, and found: New customer segments open thanks to lower adoption and operating costs. With less complex infrastructure under SaaS, customer TCO drops. ISV products improve with value-added cloud services and SaaS data capabilities. Financial predictability improves with recurring revenue model. New pricing models aligns ISV value to customers’ business needs, driving increased revenue. Additional, significant operational benefits from switching to a SaaS model. Fill out the form at right to get the free report, The Shift to SaaS: A high-value opportunity for ISVs. The collection of product usage data increases the speed of product development by 33%. –
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Microsoft Azure
Published By: MoreVisibility     Published Date: Dec 19, 2017
As the approach to strategic business decision making becomes more and more data driven, a method for consolidating our various data sets, which are often spread across multiple systems becomes exceedingly important. Two of the biggest players in data driven decision making are website analytics platforms and customer relationship management systems. The former includes accumulating data on top of the funnel behavior such as site traffic origins, lead generation, content consumption tracking, device usage, and overall site behavior. While the latter has a focus more on bottom of the funnel activity such as lead nurturing, customer status, lifetime value, etc. Lastly, without communication between these two essential platforms, a complete understanding of your customers, from lead to longtime client, may never be possible. A web analytics (Google Analytics) and CRM integration provides you with a 360 degree view of your customer base, so that you can understand not just what PPC efforts
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MoreVisibility
Published By: MobileIron     Published Date: Nov 14, 2017
Watch this on-demand Ask Us Anything HIMSS webinar as we engage with a panel of experts from St. Joseph Health, Box, and MobileIron. We'll uncover St. Joseph Health’s recent deployment of Box cloud storage with MobileIron to their employees’ mobile devices, major changes we’re seeing in the healthcare industry, and so much more!
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healthcare, webinar, cloud storage, data usage, mobile device
    
MobileIron
Published By: Oracle     Published Date: Oct 20, 2017
This whitepaper explores the new SPARC S7 server features and then compares this offering to a similar x86 offering. The key characteristics of the SPARC S7 to be highlighted are: Designed for scale-out and cloud infrastructures SPARC S7 processor with greater core performance than the latest Intel Xeon E5 processor Software in Silicon which offers hardware-based features such as data acceleration and security The SPARC S7 is then compared to a similar x86 solution from three different perspectives, namely performance, risk and cost. Performance matters as business markets are driving IT to provide an environment that: Continuously provides real-time results. Processes more complex workload stacks. Optimizes usage of per-core software licenses Risk matters today and into the foreseeable future, as challenges to secure systems and data are becoming more frequent and invasive from within and from outside. Oracle SPARC systems approach risk management from multiple perspectiv
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Oracle
Published By: Oracle CX     Published Date: Oct 20, 2017
This whitepaper explores the new SPARC S7 server features and then compares this offering to a similar x86 offering. The key characteristics of the SPARC S7 to be highlighted are: ? Designed for scale-out and cloud infrastructures ? SPARC S7 processor with greater core performance than the latest Intel Xeon E5 processor ? Software in Silicon which offers hardware-based features such as data acceleration and security The SPARC S7 is then compared to a similar x86 solution from three different perspectives, namely performance, risk and cost. Performance matters as business markets are driving IT to provide an environment that: ? Continuously provides real-time results. ? Processes more complex workload stacks. ? Optimizes usage of per-core software licenses. Risk matters today and into the foreseeable future, as challenges to secure systems and data are becoming more frequent and invasive from within and from outside. Oracle SPARC systems approach risk management from multiple perspectiv
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Oracle CX
Published By: IBM     Published Date: Oct 03, 2017
The demand for new data about customers, customer behaviour, product usage, asset performance, and operational processes is growing rapidly. Almost every industry wants new data. Some examples of this are: • Financial services organisations want more data to improve risk decisions, for ‘Know Your Customer (KYC) compliance and for a 360 degree view of financial crime. • Utilities companies want smart meter data to give them deeper understanding of customer and grid usage and to allow them to exploit pricing elasticity. They also want sensor data to monitor grid health, to optimise field service and manage assets. Download now to learn more!
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scaling data, big data, customer behavior, product usage, data integration
    
IBM
Published By: IBM     Published Date: Aug 24, 2017
Data governance is all about managing data, by revising that data to standardize it and bring consistency to the way it is used across numerous business initiatives. What’s more, data governance ensures that critical data is available at the right time to the right person, in a standardized and reliable form. A benefit that fuels better organization of business operations, resulting in improved productivity and efficiency of that organization. Thus, the importance of proper data governance cannot be understated. The concepts of data governance have evolved, where the first iteration of data governance, often referred to as version 1.0, focused on three simplistic elements: objectives, structure and processes; having a limited focus and scope due to its tactical usage. The opportunity from the growing value of data in the realm of analytics, business intelligence, and generating insights was left unrealized. Today, organizations are moving towards what can be called Data Governance 2.0,
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ibm, unified governance strategy, data management, data governance
    
IBM
Published By: CA Technologies     Published Date: Aug 22, 2017
Data is the most valuable asset a business has, and the most important data lives on the mainframe. This critical information fuels the new apps and services that differentiate your business. And it’s rapidly growing, with each new app creating a new source of data. What’s more, usage demands are increasing as developers seek access to mainframe-based data to promote innovation.
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database, administration, management, performance optimization, sla, ca technologies, security
    
CA Technologies
Published By: Juniper Networks     Published Date: Aug 03, 2017
Agility creates more opportunities for new business and stronger bottom lines. Research from more than a half-dozen experts supports it all. What makes Uber’s and Airbnb’s network infrastructures unique The top factor shaping network strategies today Research from industry experts including Gartner and McKinsey
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business agility, data usage, network infrastructure, information technology
    
Juniper Networks
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
You’re looking at flash storage because you see it’s taking the storage world by storm. You’re interested in accelerating business-critical applications, consolidating a virtual server or desktop deployment, trying to get ahead of your company’s data onslaught, or some combination of the above. This easy-to-read guide was developed to help arm you with key considerations and questions to ask before investing in a flash storage array for your business today, and for the future.
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flash storage, storage consolidation, virtual storage, data usage
    
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: Pure Storage     Published Date: Jul 26, 2017
This IDC study represents a vendor assessment model called the IDC MarketScape. It's a quantitative and qualitative assessment of the characteristics that assess vendors' current and future success in the AFA market segment and provide a measure of the vendors' ascendancy to become a Leader or maintain a leadership position. IDC MarketScape assessments are particularly helpful in emerging markets that are often fragmented, have several players, and lack clear leaders.
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flash performance, latencies, stripped data, storage techniques, technology efficiency, vendors, api support, odx, usage statistics
    
Pure Storage
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
According to Mary Johnston Turner, Research Vice President at IDC; "Breaking down technology specific management as well as data silos also facilitates faster infrastructure and application rollouts, reduces human errors, and improves overall business agility.Cloud based management, monitoring and analytics help to improve collaboration between IT operations and developer teams by stabilizing service levels and monitoring usage to support accurate charge back." 
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Oracle PaaS/IaaS/Hardware
Published By: Pure Storage     Published Date: Jul 18, 2017
This IDC study represents a vendor assessment model called the IDC MarketScape. It's a quantitative and qualitative assessment of the characteristics that assess vendors' current and future success in the AFA market segment and provide a measure of the vendors' ascendancy to become a Leader or maintain a leadership position. IDC MarketScape assessments are particularly helpful in emerging markets that are often fragmented, have several players, and lack clear leaders.
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flash performance, latencies, stripped data, storage techniques, technology efficiency, vendors, api support, odx, usage statistics
    
Pure Storage
Published By: Lenovo and Intel     Published Date: Apr 28, 2017
Power? Mobility? Efficiency? All-in-One? Yep, that’s the new world of workstations. We’ve gathered all the data, insights, details, and (of course) speeds and feeds, into one handy eBook so that you can find the perfect workstation for any requirement. Is powerful mobility what you need? Or, maybe high-efficiency (both power-usage and space)? Or, maybe you just need the most powerful platform on the planet? You’ll find the tools you need right here. Check out this guide to finding your perfect workstation!
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Lenovo and Intel
Published By: McAfee     Published Date: Mar 31, 2017
As the cloud continues to be adopted for a wide range of applications and data, it is critical to mitigate risks, increase visibility and implement control over all cloud offerings through an integrated security solution. To learn more, download this infographic.
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cloud report, cloud research, cloud usage, public cloud, cloud adoption, hybrid cloud, private cloud, cloud security, cloud data protection, cloud access security broker, cloud survey, cloud usage data, cloud malware, aws security
    
McAfee
Published By: McAfee     Published Date: Mar 31, 2017
As trust grows, cloud use accelerates. IT struggles to safeguard sensitive data as Shadow IT hinders visibility and control. Read “Building Trust in a Cloudy Sky.”
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cloud report, cloud research, cloud usage, public cloud, cloud adoption, hybrid cloud, private cloud, cloud security, cloud data protection, cloud access security broker, cloud survey, cloud usage data, cloud malware, aws security
    
McAfee
Published By: McAfee     Published Date: Mar 31, 2017
As trust grows, cloud use accelerates. IT struggles to safeguard sensitive data as Shadow IT hinders visibility and control. Read “Building Trust in a Cloudy Sky.”
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cloud report, cloud research, cloud usage, public cloud, cloud adoption, hybrid cloud, private cloud, cloud security, cloud data protection, cloud access security broker, cloud survey, cloud usage data, cloud malware, aws security
    
McAfee
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