This 12-page white paper describes what a data center reference design is, what it includes, and explains how the benefits listed above are achieved.
A data center reference design acts as a starting point offering a project team several valuable benefits including:
• Facilitating and simplifying the planning phase
• Reducing time to create buildable designs
• Reducing risk, offering predictable performance and improved reliability of the data center once operational
Published By: Zynapse
Published Date: Jun 16, 2010
Data Governance has emerged as the point of convergence for people, technology and process in order to manage the crucial data (information) of an enterprise. This is a vital link in the overall ongoing data management process for it maintains the quality of data and makes it available to a wide range of decision making hierarchy across an organization
To improve safety and mobility across its 5,600km road network, the City of Toronto forged a partnered with HERE Technologies for the provision of traffic, incident, and historical traffic data.
Access to this data allows the city authority to see exactly what’s happening on its roads and more easily and affectively run studies on improvement projects.
This case study details how HERE Technologies enabled the City of Toronto’s transportation team to:
Work smarter with comprehensive network coverage and accurate data to aid analysis
Examine the impact of city projects without significant forward planning or expenditure
Ensure travel volume models used to drive decision making are calibrated to represent real-world truths
ARM had an immediate need for a flexible provider that was willing to collaborate on a “build-to-suit” energy efficient data center, but also want a long-term partner to consider for future projects in other parts of the world. Find out why they chose Digital Realty.
Published By: Delphix
Published Date: May 03, 2016
Data security is a top concern these days. In a world of privacy regulation, intellectual property theft, and cybercrime, ensuring data security and protecting sensitive enterprise data is crucial.
Only a data masking solution can secure vital data and enable outsourcing, third-party analysis, and cloud deployments. But more often than not, masking projects fail. Some of the best data masking tools bottleneck processes and once masked, data is hard to move and manage across the application development lifecycle.
Published By: Trimble
Published Date: May 02, 2019
Involvement in early-stage construction projects can deliver big wins for savvy contractors. By helping to materialize the vision for the project, you can position yourself as the best team to bring that vision to life.
But for some estimators, developing a conceptual construction estimate is more labor-intensive than producing a final one. You could spend days or weeks working on it, yet have very low confidence in the numbers you present.
If your conceptual estimates are:
? Too time-consuming to produce..
? Based more on guesswork than actual data...
? Not helping you win more projects…
You’re making things harder than they need to be.
Claim your FREE eBook to learn how you can produce fast and accurate conceptual estimates.
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.
There are some surprisingly straightforward reasons behind the glitches, delays, and cost-overruns that can bedevil data warehouse initiatives. ...The first is simply confusing expectations with requirements. But four other troublemakers can also lead to big problems for developers, IT departments, and organizations seeking to maximize the business value of information.
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics.
To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
Oracle Autonomous Data Warehouse Cloud is more than just a new way to store and analyze data; it’s 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 deployed—either on premises or in the cloud—they face an endless cycle of tuning, securing, scaling, and maintaining these analytic assets.
Oracle has a better way. Download this whitepaper to f
Rubrik Cloud Data Management is a single, unified software platform to manage your physical, virtual, and cloud data. With Rubrik, enterprises can drastically simplify their data protection processes, automate workflows, and migrate data to the cloud. The results are powerful: faster recoveries, easier management, no forklift upgrades, and hard dollars saved for other projects. Organizations pursuing cloudfirst policies can use Rubrik to archive to the cloud, create cloud DR capabilities, or perform cloud-native backup. And with Rubrik’s Polaris SaaS platform, it has never been easier to unify data across data centers and clouds, simplifying operations and governance.
Published By: Dell EMC
Published Date: Feb 14, 2019
Artificial intelligence (AI) is a transformative technology that will change the way organizations interact and will add intelligence to many products and services through new insights currently hidden in vast pools of data. In 2017 alone, venture capitalists invested more than $11.7 billion in the top 100 Artificial Intelligence startups, according to CB Insights1, and the breadth of Artificial Intelligence applications continues to grow. While human-like intelligence will remain the stuff of novels and movies for the near future, most organizations can and should explore practical Artificial Intelligence projects. This technology has the potential to:
• Improve productivity of internal applications
• Increase revenue through enhanced customer interacton and improved customer acquisiiton
• Reduce costs by optimizing operations
• Enhance products and services with "smart" functionality such as vision and voice interaction and control
This paper provided by Dell and Intel® gives executi
Published By: MarkLogic
Published Date: Jun 09, 2017
Your high-stakes data projects don’t have to end – as analysts predict – in failure. Don’t just rely on legacy technology and outdated thinking - the key is to start your next data project armed with the right technology and mindset to succeed.
This paper will give you insights and guidelines to help you learn how to leverage all of your data to reach your data integration objectives with less time and expense than you might imagine. Change is good, and in this paper we’ll give you real-world examples of organizations that embraced change and found success.
Most successful data center migration projects share similar practices, such as expertise, preparation, management, execution, communication and business alignment. The purpose of this research is not to provide an extensive examination of each one of these practices. Rather, it is to provide a pragmatic list of best practices. This list was derived from observations of numerous Gartner clients involved in data center migration projects over the last six years.
Using the Integrated Analytics Hub, data analytics projects have already accounted for an estimated quarterly savings on marketing digital-media expenditures of approximately USD 170,000.
Download this white paper to find out more.
Attracting Investors Webinar: With more than $18 billion in M&A activity in the first half of last year alone, the colocation industry is riding the bubble of rapid growth. Colocation data center providers are being evaluated by a wide range of investors, with varying experience and perspectives. Understanding the evaluation criteria is a critical competency for attracting the right type of investor and investment to your colocation business. Steve Wallage, Managing Director of Broad Group Consulting, has led more than 30 due diligence projects and will discuss specific areas of focus including assessment of financials, management, customers, business plan, competitive positioning and future strategy and exit.
By attending this presentation colocation providers will:
• Hear how investors are assessing colocation providers
• Understand different types of investor strategy and positioning
• Explore actual case studies –success stories as well as examples where investors walked away
• Walk away with a greater understanding of how to not only attract investment, but the right type of investor to propel their business growth
Data center designs have become much more safe, reliable, & efficient. However, we must continue to adopt new designs & emerging technologies to stay ahead of the pace of change. In this webinar, Steve Wallage, Managing Director of BroadGroup Consulting, shares his expertise to help global colocation providers:
1. Learn what changes colocation providers can make to adapt to the marketplace
2. Understand the future requirements of hyperscale cloud players
3. Hear of successful projects around the world and why they succeeded
The Internet of Things (IoT) unleashes valuable business insights through data that’s gathered at every level of a retail organization. With IoT and data analytics, retailers now have the capability to gather insight into customer behavior, offer more personalized experiences, achieve better inventory accuracy, create greater supply chain efficiencies, and so much more. But with data comes great risk. A recent report by security firm Thales and 451 Research found that 43 percent of retailers have experienced a data breach in the past year, with a third reporting more than one breach.1
Intel® technology-based gateways and Asavie, a provider of next-gen enterprise mobility management and IoT connectivity solutions, offer a security connectivity solution that minimizes the effort and cost to businesses to ensure safety from cybersecurity attacks. In addition, the Intel/Asavie IoT solution provides retailers with a solid basis to build their smart, connected projects:
In this whitepaper, we describe how executive and IT management can get and maintain control of their company's data architecture to help meet business objectives. We describe the relationship between data integration projects and data architecture concepts and practices. We describe how the business planning and IT development processes that direct and leverage data integration projects depend on tooling. We describe breakthrough ways in which data architects, business analysts, programmers, and business users can collaborate to address their organization's pressing business challenges.
"In the paper, “Integrate Big Data into Your Business Processes and Enterprise Systems” you’ll learn how to drive maximum value with an enterprise approach to Big Data. Topics discussed include:
• How to ensure that your Big Data projects will drive clearly defined business value
• The operational challenges each Big Data initiative must address
• The importance of using an enterprise approach for Hadoop batch processing
Published By: Oracle ODA
Published Date: Aug 15, 2016
Businesses understand more than ever that they depend on data for insight and competitive advantage. And when it comes to data, they have always wanted easy access and fast performance.
But how is the situation different now? Today, organizations want those elements and more. They want IT to strip away the limitations of time with faster deployment of new databases and applications. They want IT to reduce the limitations of distance by giving remote and branch offices better and more reliable access. And in a global world where business never stops, they want IT to ensure data availability around the clock.
If IT can deliver databases and applications faster, on a more automated and consistent basis, to more locations without having to commit onsite resources, IT will be free to focus on more strategic projects.
Published By: Veritas
Published Date: Jan 04, 2019
The digital business continues to evolve. Investments in data analytics projects lead the way while traditional, proprietary infrastructures are being disrupted by cloud, open source and hyperconverged paradigms. These changes are forcing IT leaders to contend with greater workload diversity in the midst of tightening budgets. And while the workload [or] IT landscape is changing, the need for reliable data protection remains as crucial as ever to protect against, data corruption, human error, and malicious threats such as ransomware. Learn how Veritas can help you navigate through these obstacles. Join us to hear experts from ESG and Veritas discuss how the right data protection solution today can prepare you for tomorrow's business demands.
You will learn:
The key trends that are driving change in the digital business
The most common causes of data loss in tomorrow’s multi-cloud data centers
How to protect an increasingly diverse environment with minimal operational overhead
TIBCO Spotfire® Data Science is an enterprise big data analytics platform that can help your organization become a digital leader. The collaborative user-interface allows data scientists, data engineers, and business users to work together on data science projects. These cross-functional teams can build machine learning workflows in an intuitive web interface with a minimum of code, while still leveraging the power of big data platforms.
Spotfire Data Science provides a complete array of tools (from visual workflows to Python notebooks) for the data scientist to work with data of any magnitude, and it connects natively to most sources of data, including Apache™ Hadoop®, Spark®, Hive®, and relational databases. While providing security and governance, the advanced analytic platform allows the analytics team to share and deploy predictive analytics and machine learning insights with the rest of the organization, white providing security and governance, driving action for the business.
DatacenterDynamics is a brand of DCD Group, a global B2B media and publishing company that develops products to help senior professionals in the world's most ICT dependent organizations make risk-based infrastructure and capacity decisions.
Our portfolio of live events, online and print publishing, business intelligence and professional development brands are centred on the complexities of technology convergence. Operating in 42 different countries, we have developed a unique global knowledge and networking platform, which is trusted by over 30,000 ICT, engineering and technology professionals.
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