data sets

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Published By: Dell APAC     Published Date: May 29, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Dell APAC     Published Date: May 30, 2019
Digital transformation (DX) is reaching a macroeconomic scale. DX business objectives are balanced between tactical and strategic objectives and range from improvement in operational efficiencies and customer satisfaction to increasing existing product revenue to improving profit margins to launching new digital revenue streams. Successful DX relies on utilizing data for services as well as converting data into actionable insights. This reliance on data is contributing to a new digital era. 3rd Platform (cloud, social, mobile, and Big Data) computing is the underpinning of DX worldwide. It enables collection of a vast breadth of data sets and delivers the agility and efficiency needed to accelerate DX
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Dell APAC
Published By: Akamai Technologies     Published Date: Jul 02, 2019
In todays markets, customer identities and the personal data associated with them are among the most critical and valuable assets of any enterprise. Managing these digital identities from first registration and login to the later stages of the customer relationship and extracting business value from the associated data are complex tasks, commonly referred to as customer identity and access management (CIAM). When implementing a system to collect, manage, and utilize digital identity and customer data, companies have two basic choices: in-house development or buying a dedicated solution from a vendor specialized in CIAM (i.e., build vs. buy). Read this white paper for an in-depth analysis of CIAM implementation options, including: ? Must-haves for a successful, enterprise-grade CIAM system ? Pros and cons of implementation options, ranging from in-house software development to commercial off-the-shelf solutions ? A real-world case study that illustrates the ROI of an effective CI
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Akamai Technologies
Published By: HERE Technologies     Published Date: May 22, 2019
Operational readiness depends on rich location data. When managing logistics and tracking high-value assets, there is no room for error and our new data-driven world demands richer, smarter advanced mapping and navigation services. The 2018 Counterpoint Research Location Ecosystems Update compared 16 location platform vendorsincluding Google, TomTom and Mapboxand it named HERE the undisputed leader in location based services. Counterpoint recognized HERE for its integrated analytical capability and commitment to open partnerships, allowing for custom operational requirements and a truly mobile location intelligence platform. See how HERE provides the industry leading tools and expertise to process that datastreamlining the logistics supply chain, boosting responsiveness, and guaranteeing mission success.
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mapping, defence, location data.
    
HERE Technologies
Published By: TIBCO Software     Published Date: Jun 14, 2019
As recognized leader in master data management (MDM), and a pioneer in data asset management, TIBCO EBX software is an innovative, single solution for managing, governing, and consuming all your shared data assets. It includes all the enterprise class capabilities you need to create data management applications including user interfaces for authoring and data stewardship, workflow, hierarchy management, and data integration tools. And it provides an accurate, trusted view of business functions, insights, and decisions to empower better decisions and faster, smarter actions. Download this datasheet to learn: What makes EBX software unique Various capabilities of EBX software The data it manages
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TIBCO Software
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Delivering personalized customer experience remains the top business challenge for communications service providers (CSPs). Ovum's recently published 2018 ICT Enterprise survey saw almost all CSP IT executives interviewed identify delivering personalized customer experience as one of their three most important business challenges for the next 18 months. This trend emphasizes the high priority CSPs place on how customer relationships are managed. However, several factors have an impact on CSPs' ability to identify and then deliver customers' core needs. These include understanding the data sets they should focus on; collecting, cleansing, and consolidating these data sets; and having the right expertise to mine the data sets.
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Group M_IBM Q3'19
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 stores website via laptop or on the stores 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.
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Adobe
Published By: Adlib Software     Published Date: Jan 13, 2014
Welcome to the future of 24/7, any-time, anywhere access to digital content - where dynamic publishing solutions are the mantra. Is your organization ready for this brave new world of digital content distribution? This whitepaper explores how to prime your organization to leverage rapid digital content consumption as a key to business intelligence.
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content marketing, content management, enterprise content management, publishing, data, content transformation, document transformation, document conversion, sharepoint, filenet, documentum, ecm, opentext, archive, assets, digital assets, networking, it management, knowledge management, enterprise applications
    
Adlib Software
Published By: Zaloni     Published Date: Apr 24, 2019
Why your data catalog wont deliver significant ROI According to Gartner, organizations that provide access to a curated catalog of internal and external data assets will derive twice as much business value from their analytics investments by 2020 than those that do not. Thats a ringing endorsement of data catalogs, and a growing number of enterprises seem to agree. In fact, the global data catalog market is expected to grow from US$210.0 million in 2017 to US$620.0 million by 2022, at a Compound Annual Growth Rate (CAGR) of 24.2%. Why such large and intensifying demand for data catalogs? The primary driver is that many organizations are working to modernize their data platforms with data lakes, cloud-based data warehouses, advanced analytics and various SaaS applications in order to grow profitable digital initiatives. To support these digital initiatives and other business imperatives, organizations need more reliable, faster access to their data. However, modernizing data plat
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Zaloni
Published By: Hitachi Vantara     Published Date: Mar 08, 2019
Data is one of the most valuable assets in your enterprise. Ensuring that your data is protected, should the worst possible scenario occur, is vital. However, no single data protection tool can offer complete peace of mind. Use the right tools for each job but manage them from one place. Read this white paper to see how Hitachi Vantara takes a unified approach to modern data protection and simplifies data protection.
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Hitachi Vantara
Published By: Hitachi Vantara     Published Date: Mar 08, 2019
In a perfect world, downtime would be a thing of the past, however, as organizations continue their digital transformation journeys, more data assets are being createdgenerating, in turn, higher availability demands. Delivering on availability service levels is not just a technical responsibility, but also a business imperative extending well beyond IT. The consequences of failing to meet service levels can be dire and costly. Read this white paper to learn how the right tools can minimize downtime.
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Hitachi Vantara
Published By: SAP     Published Date: May 18, 2014
In-memory technologyin which entire datasets are pre-loaded into a computers random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiatedhas actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
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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, analytical applications
    
SAP
Published By: HERE Technologies     Published Date: Dec 06, 2018
Advertisers are beginning to invest in location insights which give them data on how and why transactions are made in specific places. U.S. marketers are poised to double their spend on location-targeted mobile ads between 2017 and 2021 to $32 billion, according to research firm BIA/Kelsey. Understanding location is key to gaining insights and making change. HERE offers data sets and services that advertisers can use to contextualize consumer movements and habits in the world around them. This gives them well-timed and relevant advertising.
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location data, ad tech, location targeting
    
HERE Technologies
Published By: Equinix     Published Date: May 28, 2015
This paper illustrates different perspectives on building a secure and flexible data center platform that sustains growth and innovation and delivers a serious competitive advantage.
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data center, strategic business advantage, hybrid, technology, it demands, data center platform, equinix, equinix solutions, data, data integration, virtualization, cloud computing, infrastructure, design and facilities
    
Equinix
Published By: AWS     Published Date: Dec 15, 2017
Healthcare and Life Sciences organizations are using data to generate knowledge that helps them provide better patient care, enhances biopharma research and development, and streamlines operations across the product innovation and care delivery continuum. Next-Gen business intelligence (BI) solutions can help organizations reduce time-to-insight by aggregating and analyzing structured and unstructured data sets in real or near-real time. AWS and AWS Partner Network (APN) Partners offer technology solutions to help you gain data-driven insights to improve care, fuel innovation, and enhance business performance. In this webinar, youll hear from APN Partners Deloitte and hc1.com about their solutions, built on AWS, that enable Next-Gen BI in Healthcare and Life Sciences. Join this webinar to learn: How Healthcare and Life Sciences organizations are using cloud-based analytics to fuel innovation in patient care and biopharmaceutical product development. How AWS supports BI solutions f
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AWS
Published By: AWS     Published Date: Sep 05, 2018
Amazon Redshift Spectruma single service that can be used in conjunction with other Amazon services and products, as well as external toolsis 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 Dilemmawith 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.
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AWS
Published By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle CX
Published By: Delphix     Published Date: May 03, 2016
Today's test data management (TDM) solutions force teams to work with compromised data sets, and push testing to too late in the software development lifecycle. The end result is rework, delayed releases, and costly bugs that cripple production systems. Furthermore, prevailing approaches to test data management - including subsetting, synthetic data, shared environments, and standalone masking--represent flawed solutions that fail across one or more key dimensions.
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Delphix
Published By: Dell EMC     Published Date: Nov 04, 2016
As organizations continue to virtualize their infrastructures to gain higher levels of operational efficiency, VM sprawl and resource utilization are two key factors that can quickly create havoc for IT admins. In resource-siloed infrastructures, where multiple administrators are in charge of different pieces of the infrastructure, complexity continues to grow as mission-critical data sets and organizations grow. This is especially true in dynamic, mission-critical environments, where one wrong move or lack thereof could significantly impact an application, the end-user experience, or worst case, company revenue. The impact of hyper-converged infrastructures on IT has been profound. In fact, 85% of respondents to a recent ESG survey already use or plan to use a hyper-converged solution in the coming months. Though that number appears high, it is not all that surprising. ESG also asked organizations to identify which factors drove them to deploy or considering deploying a hyper-conv
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ubuntu, performance, windows, hyper-convergence, infrastructure, information management, data warehousing
    
Dell EMC
Published By: TIBCO Software     Published Date: Jan 17, 2019
Are you considering data virtualization for your organization today? In this paper you will learn 10 core truths about data virtualization and gain essential knowledge for overcoming analytic data bottlenecks and driving better outcomes.
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virtualization, data, analytics, datasets, software, access, integration, projects, tools, scalability
    
TIBCO Software
Published By: Here Technologies     Published Date: Mar 29, 2019
Advertisers are beginning to invest in location insights which give them data on how and why transactions are made in specific places. And with nearly all smartphones equipped with geolocation abilities, advertisements can be made location-aware with improved precision for targeting. Understanding location is key to gaining improved insights. HERE offers data sets and services that advertisers can use to contextualize consumer movements and habits in the world around them to provide well-timed and relevant advertising.
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location data, ad tech, location targeting
    
Here Technologies
Published By: Dell EMC     Published Date: Feb 23, 2017
As organizations continue to virtualize their infrastructures to gain higher levels of operational efficiency, VM sprawl and resource utilization are two key factors that can quickly create havoc for IT admins. In resource-siloed infrastructures, where multiple administrators are in charge of different pieces of the infrastructure, complexity continues to grow as mission-critical data sets and organizations grow. This is especially true in dynamic, mission-critical environments, where one wrong move or lack thereof could significantly impact an application, the end-user experience, or worst case, company revenue.
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Dell EMC
Published By: Oracle EMEA     Published Date: Apr 15, 2019
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; its a whole new approach to getting more value from your data. Market leaders in every industry depend on analytics to reach new customers, streamline business processes, and gain a competitive edge. Data warehouses remain at the heart of these business intelligence (BI) initiatives, but traditional data-warehouse projects are complex undertakings that take months or even years to deliver results. Relying on a cloud provider accelerates the process of provisioning data-warehouse infrastructure, but in most cases database administrators (DBAs) still have to install and manage the database platform, then work with the line-of-business leaders to build the data model and analytics. Once the warehouse is deployedeither on premises or in the cloudthey face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets. Oracle has a better way. Download this whitepaper to f
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Oracle EMEA
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