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Published By: Pure Storage     Published Date: Apr 18, 2018
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits. For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
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Pure Storage
Published By: Pure Storage     Published Date: Apr 18, 2018
Everybody’s talking about big data. Huge promises have been made about its role in driving enterprises forward. But few organizations are realizing its true benefits. For those able to put data to good use, there’s much to be excited about. Data is transforming not only businesses, but entire industries, and the world as we know it. Today organizations are harnessing big data to do things like transform healthcare, provide eyesight for the visually impaired, and bringing us closer to autonomous cars
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Pure Storage
Published By: Oracle     Published Date: Apr 16, 2018
A tecnologia dos bancos de dados está evoluindo rapidamente, particularmente em três áreas: tecnologia de memória interna, análise de big data e nuvem. Paralelamente, o papel do DBA continua a evoluir. Saiba mais sobre como algumas dessas mudanças refletem tendências que existem há bastante tempo e permanecem firmes.
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quais, principais, evolucoes, banco, dados
    
Oracle
Published By: Oracle     Published Date: Apr 16, 2018
La tecnología de base de datos está evolucionando rápidamente, en particular en tres áreas: tecnología de memoria, análisis de big data y cloud. Paralelamente, la función del DBA sigue evolucionando. Conoce más sobre cómo algunos de estos cambios reflejam las tendencias que llevan mucho tiempo y siguen sin disminuir.
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cuales, principales, evoluciones, base, datos
    
Oracle
Published By: Amazon Web Services     Published Date: Apr 16, 2018
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms. To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
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Amazon Web Services
Published By: IBM     Published Date: Apr 13, 2018
IBM Security can help your organization secure and protect personal data with a holistic GDPR-focused framework.
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gdpr, compliance, data protection, personal data
    
IBM
Published By: Microsoft Azure     Published Date: Apr 11, 2018
When you extend the global reach of your enterprise, you’ll find new markets for your products and services. That means reaching more potential customers, bigger growth potential, and higher ROI. But to tap into those emerging markets, you need to provide the best, most consistent user experience. Now, it’s possible for you to build, deploy, and manage modern apps at scale with a globally-distributed database—without the hassles associated with hosting in your data center. Read the e-book Build Modern Apps with Big Data at a Global Scale and learn how Azure Cosmos DB, a globally-distributed turnkey database service, is transforming the world of modern data management. Keep access to your data available, consistent, and safe—with industry-leading, enterprise-grade security and compliance. Start developing the best app experience for your users based on five well-defined consistency models: Strong: Favors data consistency. Ideal for banks, e-commerce processing, and online booking. Boun
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Microsoft Azure
Published By: Microsoft Azure     Published Date: Apr 11, 2018
Make sure you’re getting the most out of your data and the artificial intelligence (AI) technologies available. Read the e-book, Six cloud data challenges solved for app developers and get actionable answers. Learn the best approach when faced with six familiar data scenarios: Keeping track of essentials such as scalability and availability. Making sure your app delivers consistent service to multiple customers. Delivering data in real time, across the globe, without the complexities of multiple datacenters. Creating actionable insights from big data. Incorporating artificial intelligence into your apps. Locking down security while building in the cloud.
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Microsoft Azure
Published By: Cisco and NVIDIA Corporation     Published Date: Apr 03, 2018
These are interesting and challenging times to be in business. Digital forces, such as the cloud, big data, mobility, and mobile apps, are disrupting tried-and-true business models, as well as entire industries. These transformational advances are producing complexity, while workers are demanding simplicity. They require centralized infrastructures to keep information safe, even as agility and flexibility rule the day.
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Cisco and NVIDIA Corporation
Published By: IBM     Published Date: Apr 03, 2018
The next generation of IBM Db2 helps organizations get more value from their big data to improve their IT economics.
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ibm, data management, db2
    
IBM
Published By: Cisco and NVIDIA Corporation     Published Date: Apr 02, 2018
These are interesting and challenging times to be in business. Digital forces, such as the cloud, big data, mobility, and mobile apps, are disrupting tried-and-true business models, as well as entire industries. These transformational advances are producing complexity, while workers are demanding simplicity. They require centralized infrastructures to keep information safe, even as agility and flexibility rule the day.
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Cisco and NVIDIA Corporation
Published By: F5 Networks Inc     Published Date: Mar 30, 2018
It seems like every day there’s another article about IoT, big data analytics, and cloud architectures—and their unlimited potential for companies trying to gain a competitive edge in this digital world. If your business is in the midst of a digital transformation (and chances are, it is), you’re probably already enjoying some the benefits of the public cloud: economies of scale, preconfigured solutions that can be spun up with a few clicks, utility billing, and more. What you may not have heard, however, is how the shared security model of the public cloud affects your security responsibilities —and how it can be used to your advantage in these multicloud environments.
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roi, cloud, security, architectures, business, economies
    
F5 Networks Inc
Published By: Oracle     Published Date: Mar 22, 2018
Paris Lodron University Salzburg is the biggest educational institution in the Salzburg region of Austria. The university undertakes innovative research and sees itself as an internationally networked knowledge hub at the heart of Europe. An Oracle Exadata Database Machine was deployed for these applications in 2012. The objectives pursued at the time—uninterrupted operation, resource conservation, and reduction of the CO2 footprint—were fully achieved. Facing increasing growth and with the undertaking of specialized projects, Paris Lodron University was faced with the task of adapting its IT infrastructure to new requirements.
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Oracle
Published By: Pindrop Security     Published Date: Mar 21, 2018
As fraudsters grow in sophistication and experience, they often aren’t acting alone. Syndicated crime rings are big business around the world. In the fraud economy, different fraudsters specialize in different aspects of the attack, from gathering data and creating profiles of targeted victims, to socially engineering call center agents, to creating tools like robotic dialers. These fraudsters might work alone, selling their skills on the black market. In other cases, fraudsters are running entire call centers overseas dedicated to executing attacks.
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Pindrop Security
Published By: Emarsys     Published Date: Mar 19, 2018
The one thing these powerful brands have in common? Data. The growth of data has brought us to the tipping point between brand and customer. Before the digital age, the biggest and best brands had just that – a brand, which THEY controlled. Now, a brand is powerful because of the data it collects and how it uses it to serve its customers. The value of data is only going to increase as we move from a handful of brands owning first-party data to a greater democratization of information. As a result, consumers will have much more control over their personal data and more companies will be able to generate their own first-party data. Once again, it’s time to look ahead to identify the trends and technologies that are most likely to survive the hype cycle and become the must-haves of the near future. Here we take all we learned over the past year and craft our strategies for the future. We explore the five predictions we believe marketers should be excited about and prepare for over the ne
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Emarsys
Published By: Group M_IBM Q1'18     Published Date: Mar 16, 2018
IBM Security can help your organization secure and protect personal data with a holistic GDPR-focused framework.
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gdpr, ibm, compliance, ibm security
    
Group M_IBM Q1'18
Published By: BlueData     Published Date: Mar 13, 2018
In a benchmark study, Intel compared the performance of Big Data workloads running on a bare-metal deployment versus running in Docker containers with the BlueData software platform. This landmark benchmark study used unmodified Apache Hadoop* workloads
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big data, big data analytics, hadoop, apache spark, docker
    
BlueData
Published By: Thomson Reuters     Published Date: Mar 08, 2018
Although AI and big data have delivered advances in technology these past years which make remediation more manageable and more efficient, it’s important ensure that the solution you select, meets your particular requirements, addresses and meets your needs. Some jurisdictions require technology dealing with certain types of data to be hosted on-site; data hosting, exchange, protection and privacy can all affect the choice of solution or vendor. It’s common for companies to call out these specifics in their RFPs. Other considerations include the level of precision and recall (e.g., the accuracy) required to meet project needs, the setup time for a system, its implementation and the ability to support globally dispersed team members.
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technology, financial, sector, database, thomson, reuters
    
Thomson Reuters
Published By: Dell PC Lifecycle     Published Date: Mar 07, 2018
IT is in the midst of one of its major transformations. IDC has characterized this paradigm shift as the “third platform,” driven by innovations in cloud, big data, mobility and social technologies. Progressive enterprises are seeking to leverage third-platform technologies to create new business opportunities and competitive differentiation through new products and services, new business models and new ways of engaging customers.
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partner, dell, emc, windows, server, enterprises
    
Dell PC Lifecycle
Published By: SAS     Published Date: Mar 06, 2018
Imagine getting into your car and saying, “Take me to work,” and then enjoying an automated drive as you read the morning news. We are getting very close to that kind of scenario, and companies like Ford expect to have production vehicles in the latter part of 2020. Driverless cars are just one popular example of machine learning. It’s also used in countless applications such as predicting fraud, identifying terrorists, recommending the right products to customers at the right time, and correctly identifying medical symptoms to prescribe appropriate treatments. The concept of machine learning has been around for decades. What’s new is that it can now be applied to huge quantities of data. Cheaper data storage, distributed processing, more powerful computers and new analytical opportunities have dramatically increased interest in machine learning systems. Other reasons for the increased momentum include: maturing capabilities with methods and algorithms refactored to run in memory; the
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SAS
Published By: SAS     Published Date: Mar 06, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics, and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. With the right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
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SAS
Published By: NetApp     Published Date: Mar 05, 2018
The proliferation of business unit cloud use is primarily motivated by digital transformation's need for innovation and agility in big data and real-time analytics, rather than cost optimization, which causes overspending. CIOs should use three moves to gain business influence and optimize costs.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: Cisco EMEA     Published Date: Mar 05, 2018
The competitive advantages and value of BDA are now widely acknowledged and have led to the shifting of focus at many firms from “if and when” to “where and how.” With BDA applications requiring more from IT infrastructures and lines of business demanding higher-quality insights in less time, choosing the right infrastructure platform for Big Data applications represents a core component of maximizing value. This IDC study considered the experiences of firms using Cisco UCS as an infrastructure platform for their BDA applications. The study found that Cisco UCS contributed to the strong value the firms are achieving with their business operations through scalability, performance, time to market, and cost effectiveness. As a result, these firms directly attributed business benefits to the manner in which Cisco UCS is deployed in the infrastructure.
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big data, analytics, cisco, value, business, enterprise
    
Cisco EMEA
Published By: FICO     Published Date: Mar 02, 2018
Improved availability of data and new technologies that use it are disrupting our lives, influencing the way we interact with other, and the way we gather and consume information to make decisions. Businesses too are living in a time of continuous technological upheaval. The application of key technologies such as Machine Learning and Artificial Intelligence and Optimization, are fundamentally changing the manner in which businesses make decisions. This paper is your first step in understanding: • how you can leverage and operationalize analytics in your everyday business processes • improve customer relationships • grow revenue in an increasingly competitive world
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fico, customers, analytic, management, applications, solutions
    
FICO
Published By: Cisco and NVIDIA Corporation     Published Date: Feb 26, 2018
These are interesting and challenging times to be in business. Digital forces, such as the cloud, big data, mobility, and mobile apps are disrupting tried-and-true business models, as well as entire industries. These transformational advances are producing complexity, while workers are demanding simplicity. They require centralized infrastructures to keep information safe, even as agility and flexibility rule the day. Read this eBook to learn more about powerful forces of digital business transformation!
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Cisco and NVIDIA Corporation
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