APP-GENERATIE REPORT

De hedendaagse jeugd is de eerste generatie die zijn identiteit ontleent aan technologie in plaats van aan cruciale politieke of economische gebeurtenissen. Deze jongeren voelen zich met elk technologisch aspect volledig op hun gemak en in ons boek "The App Generation: How Today’s Youth Navigate Identity, Intimacy, and Imagination in a Digital World", onthullen we nieuwe inzichten over de invloed van technologie op de identiteit van jongeren en de manier waarop zij de wereld zien.
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Hypervisor-based Replication

Virtualization of the data center has proven to be a true IT game-changer, providing increased flexibility and control in managing production workloads, as well as significantly streamlining the implementation and operational support. Organizations continue to expand their virtualization initiatives to private, public and hybrid cloud environments.

To more fully realize the benefits of virtualization and get the most out of their investments in the technology, organizations need to optimize all IT processes and activities for their virtual environment. This includes security, compliance, and Business Continuity/Disaster Recovery (BC/DR). Of the three, BC/DR is perhaps the most difficult because to date there have been no virtual-ready remote replication methods that organizations could adopt. That is all about to change.

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Deep Learning in the Real World

The International Data Corporation estimates that by 2020, 40 zettabytes of data will be generated every day. Compare that to the current 2.5 quintillion bytes per day and it's easy to understand why businesses need a smarter way to wrangle exponentially growing data. What if you could automatically consume and process data such as tweets, chats, emails and more and integrate them into your data applications? Deep learning makes it easier than ever before.
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SAP HANA System Replication on SLES for SAP Applications

“SAP customers invest in SAP HANA” is the conclusion reached by a recent market study carried out by Pierre Audoin Consultants (PAC). In Germany alone, half of the companies expect SAP HANA to become the dominant database platform in the SAP environment. In many cases, the “SAP Business Suite® powered by SAP HANA” scenario is already being discussed in concrete terms.

Naturally, SUSE is also accommodating this development by providing SUSE Linux Enterprise Server for SAP Applications – the recommended and supported operating system for SAP HANA. In close collaboration with SAP and hardware partners, therefore, SUSE will provide two resource agents for customers to ensure the high availability of SAP HANA system replications.

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SAP HANA and SUSE® Linux Enterprise Server

SAP HANA is by far the most in-demand in-memory platform on the market. Across all industries and regions, users benefit from its accelerated business processes, operations, decisions and simplified data landscapes to reduce costs.

A study by Forrester Research on behalf of SAP showed that customers who introduce SAP HANA can save over 70 percent on software investments and 15 percent on hardware costs compared with traditional databases. At the same time, SAP HANA is evolving into a leading development and application platform.

Read more to learn how.

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5 Reasons Why Multi-Tenant Unified Communications Beats Multi-Instance

We were recently asked for our thoughts on multi-tenancy vs. multiinstance architectures and which made better sense for cloud unified communications (UC) service deployment. You might wonder why anyone would care about this, as long as the services work. But the thing is, the multi-tenant vs. multi-instance debate uncovers fundamentally different approaches to delivering UC in the cloud. Fuze has spent eight years building a cloud UC platform with a multitenant architecture, so our allegiance is clear. This being said, we meet regularly with cloud UC providers that have opted for a multi-instance approach. Most of these folks are smart people, so to dismiss them as wrong isn’t fair.
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The Road Forward. An IT Roadmap for Scaling Self Service Reporting

A new implementation model, anchored by a real partnership between IT leaders and business users, calls for IT to own the center of operations, security and governance, data acquisition, maintenance and provisioning. In this paper, you’ll find an in-depth roadmap for scaling self-service reporting at your organization.

Read this report to learn about:

• New process for fast prototyping
• Clear enablement roles for IT
• Suggested workflows for new technology
• Nurturing a company wide culture of business analytics
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6 Best Practices for Creating Effective Dashboards

The hallmark of a data-driven dashboard is the ability to see and understand data at the speed of thought. Well-planned dashboards will allow both business leaders and knowledge workers alike to ask and answer questions in real-time, turn insight into action and inspire true innovation.

In this whitepaper, you’ll learn about:

• How to connect all of your data to a dashboard—no matter where it lives

• How to blend data from multiple sources for a holistic view

• Choosing critical dashboard metrics that reflect organizational objectives

• Using the best types of charts or graphs that are right for your data

• Accessing mobile analytics in the field for improved efficiency and speed

• How to share dashboards to collaborate with colleagues, partners and clients

• Bonus: five dashboard mistakes to avoid

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Data Storytelling: Using Visualization to Share the Human Impact of Numbers

Storytelling is a cornerstone of the human experience. The universe may be full of atoms, but it’s through stories that we truly construct our world. From Greek mythology to the Bible to television series like Cosmos, stories have been shaping our experience on Earth for as long as we’ve lived on it.

A key purpose of storytelling is not just understanding the world but changing it. After all, why would we study the world if we didn’t want to know how we can—and should— influence it?

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Which Chart or Graph is Right For You?

You’ve got data and you’ve got questions. Creating a chart or graph links the two, but sometimes you’re not sure which type of chart will get the answer you seek. This paper answers questions about how to select the best charts for the type of data you’re analyzing and the questions you want to answer.
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The Total Economic Impact™ Of IBM DB2 With BLU Acceleration

Learn about the cost savings and business benefits of DB2 with BLU Acceleration. In a commissioned study, Forrester Consulting evaluated the total economic impact of BLU Acceleration in-memory technology at a financial services client. Download now for detailed results based on interviews and subsequent financial analysis and research.

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In-Memory Databases Put the Action in Actionable Insights

In order to derive business value from Big Data, practitioners must have the means to quickly (as in sub-milliseconds) analyze data, derive actionable insights from that analysis, and execute the recommended actions. While Hadoop is ideal for storing and processing large volumes of data affordably, it is less suited to this type of real-time operational analytics, or Inline Analytics. For these types of workloads, a different style of computing is required. The answer is in-memory databases.
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Follow the Money: Big Data ROI and Inline Analytics

Wikibon conducted in-depth interviews with organizations that had achieved Big Data success and high rates of returns. These interviews determined an important generality: that Big Data winners focused on operationalizing and automating their Big Data projects. They used Inline Analytics to drive algorithms that directly connected to and facilitated automatic change in the operational systems-of-record. These algorithms were usually developed and supported by data tables derived using Deep Data Analytics from Big Data Hadoop systems and/or data warehouses. Instead of focusing on enlightening the few with pretty historical graphs, successful players focused on changing the operational systems for everybody and managed the feedback and improvement process from the company as a whole.
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Affordable, Scalable, Reliable OLTP in a Cloud and Big Data World: IBM DB2 pureScale

This white paper discusses the concept of shared data scale-out clusters, as well as how they deliver continuous availability and why they are important for delivering scalable transaction processing support. It also contrasts this approach, taken in a relational database context, with clustering approaches employed by NoSQL databases and Hadoop applications, showing the importance It goes on to discuss the specific advantages offered by IBM's DB2 pureScale, which is designed to deliver the power of server scale-out architecture, enabling enterprises to affordably develop and manage transactional databases that can meet the requirements of a cloud-based world with rapid transaction data growth, in an affordable manner.

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