big data

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Published By: Pindrop Security     Published Date: Apr 26, 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: Mitel     Published Date: Apr 25, 2018
This is a time of rapid and dramatic progress in the cloud communications landscape. New technological innovations help companies incorporate location-independent systems, allowing workers to collaborate and communicate wherever they may be. And all signs indicate this is only the beginning, with the industry poised for unprecedented growth. In fact, as enterprise software moves to the cloud, the traditional unified communications space is having its own dramatic shift. The consumer experiences from Snapchat to Instagram to Facebook among other consumer technologies—are changing the expectations for communications. New models for collaboration and engagement, supported by big data and the cloud, provide a whole new world of opportunities.
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evolution, consumer, demands, cloud, communications
    
Mitel
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: IBM     Published Date: Apr 19, 2018
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
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db2, data migration, ibm, oracle
    
IBM
Published By: Google Cloud     Published Date: May 09, 2018
To the Cloud and Beyond: Big Data in the Age of Machine Learning
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Google Cloud
Published By: Workday UK     Published Date: Mar 07, 2018
As the finance function moves further into the digital era, one of the biggest questions CFOs are asking is, “Are we ready?” Technology advancements and the proliferation of data are dramatically reshaping the role of the finance function. As companies face increasing competition and ongoing change, they expect finance to leverage technology and turn data into insights they can use to guide strategy and support decision-making.
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Workday UK
Published By: Workday UK     Published Date: Mar 08, 2018
In the HR Outlook Report for Winter 2016/2017, brought to you by the CIPD in association with Workday, HR leaders discuss the priorities and challenges facing the function, both today and as we move into a business landscape which is anything but clear. Read the report and discover: • How HR leaders view their role in guiding their organisation through periods of economic and political uncertainty, such as Brexit • The uptake of analytics and big data to strengthen evidence-based decision making and the barriers preventing HR from adopting these technologies • HR’s priorities for 2017, and how these are shifting from 2016
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Workday UK
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: Gigaom     Published Date: May 23, 2018
This free 1-hour webinar from GigaOm Research brings together leading minds in the Internet of Things (IoT), featuring GigaOm analyst Andrew Brust, joined by guests from IoT powerhouse Hitachi Vantara, which now includes the team behind Pentaho Data Integration and Analytics.
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data integration, big data analytics, iot, ioat., application integration, customer service, customer experience management, data warehousing, business technology
    
Gigaom
Published By: MIT Academy of Engineering, Pune     Published Date: Mar 05, 2013
A Java application that will successfully be able to retrieve, insert & delete data from our database which will be implemented in HBase along with.Basically the idea is to provide much faster, safer method to transmit & receive huge amounts of data
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MIT Academy of Engineering, Pune
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: SAP     Published Date: Mar 09, 2017
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
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SAP
Published By: SAP     Published Date: Mar 09, 2017
Learn how CIOs can set up a system infrastructure for their business to get the best out of Big Data. Explore what the SAP HANA platform can do, how it integrates with Hadoop and related technologies, and the opportunities it offers to simplify your system landscape and significantly reduce cost of ownership.
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SAP
Published By: HPE APAC     Published Date: Jun 16, 2017
The bar has been raised higher than ever, and the role of IT is evolving to meet it. As a result, IT must support applications and services that make it possible for the business to provide new, diverse customer experiences while generating expanding revenues via the emergent crown jewels of business: big data, cloud, and mobility. Read on to find out more.
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HPE APAC
Published By: Cisco EMEA Tier 3 ABM     Published Date: Nov 13, 2017
Big data and analytics is a rapidly expanding field of information technology. Big data incorporates technologies and practices designed to support the collection, storage, and management of a wide variety of data types that are produced at ever increasing rates. Analytics combine statistics, machine learning, and data preprocessing in order to extract valuable information and insights from big data.
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big data, analytics, virtualization, cloudera, ibm, sas, sap, splunk
    
Cisco EMEA Tier 3 ABM
Published By: Cisco EMEA Tier 3 ABM     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 Tier 3 ABM
Published By: ExactTarget     Published Date: Aug 14, 2014
Marketing as you know it will never be the same. There’s a fundamental shift in relationships between brands and customers—fueled by smartphones, social media, and today’s always-on, always-connected mentality. Marketers have access to more customer data (big data) than ever before. But the quantity of data only matters if you’re smart about using it—to power 1:1 customer journeys.
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marketing cloud, target, big data, brands, customers, social media, smartphones, always-on, customer experience/engagement
    
ExactTarget
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem. Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
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Hewlett Packard Enterprise
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Wie die meisten Unternehmen werden auch Sie vermutlich mit der Datenspeicherung zu kämpfen haben. In einer jährlichen Umfrage von Frost & Sullivan unter IT-Entscheidungsträgern wurde das Speicherwachstum als eine der größten Herausforderungen der letzten fünf Jahre für das Rechenzentrum genannt.2Da Unternehmen exponentiell mehr Daten als je zuvor sammeln, replizieren und speichern, ist schon der einfache Erwerb ausreichender Speicherkapazitäten ein Problem. Hinzu kommt nicht zuletzt, dass Unternehmen von ihren gespeicherten Daten mehr erwarten. Daten werden mittlerweile als kostbares Firmenkapital und Möglichkeit gesehen, sich von den Wettbewerbern zu differenzieren: Sie sollen neue Geschäftsmodelle, neue Umsatzchancen, bessere Informationen, optimierte Betriebsabläufe und niedrigere Kosten bringen. Angesagte Trends wie das Internet der Dinge und Big Data-Analysen generieren so schnell neue Marktchancen, dass IT-Organisationen kaum noch Schritt halten können.
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Hewlett Packard Enterprise
Published By: SAP     Published Date: May 18, 2014
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
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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: SAP     Published Date: May 18, 2014
Download this whitepaper to learn the results of this latest exploration of the emerging world of in-memory database technologies.
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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, database development
    
SAP
Published By: SAP     Published Date: May 18, 2014
This TDWI Checklist Report presents requirements for analytic DBMSs with a focus on their use with big data. Along the way, the report also defines the many techniques and tool types involved. The requirements checklist and definitions can assist users who are currently evaluating analytic databases and/or developing strategies for big data analytics.
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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, database development
    
SAP
Published By: SAP     Published Date: May 18, 2014
For years, experienced data warehousing (DW) consultants and analysts have advocated the need for a well thought-out architecture for designing and implementing large-scale DW environments. Since the creation of these DW architectures, there have been many technological advances making implementation faster, more scalable and better performing. This whitepaper explores these new advances and discusses how they have affected the development of DW environments.
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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, database development, service oriented architecture
    
SAP
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, analytical applications
    
SAP
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