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Published By: TIBCO Software APAC     Published Date: Aug 13, 2018
Big data has raised the bar for data virtualization products. To keep pace, TIBCO® Data Virtualization added a massively parallel processing engine that supports big-data scale workloads. Read this whitepaper to learn how it works.
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TIBCO Software APAC
Published By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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Pure Storage
Published By: TIBCO Software EMEA     Published Date: Sep 21, 2018
BUSINESS CHALLENGE “Vestas is a global market leader in manufacturing and servicing wind turbines,” explains Sven Jesper Knudsen, Ph.D., senior data scientist. “Turbines provide a lot of data, and we analyze that data, adapt to changing needs, and work to create a best-in-class wind energy solution that provides the lowest cost of energy. “To stay ahead, we have created huge stacks of technologies—massive amounts of data storage and technologies to transform data with analytics. That comes at a cost. It requires maintenance and highly skilled personnel, and we simply couldn’t keep up. The market had matured, and to stay ahead we needed a new platform. “If we couldn’t deliver on time, we would let users and the whole business down, and start to lose a lot of money on service. For example, if we couldn’t deliver a risk report on time, decisions would be made without actually understanding the risk landscape.
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data solution, technology solution, data science, streaming data, fast data platform, self-service analytics
    
TIBCO Software EMEA
Published By: Great Bay Software     Published Date: Jul 16, 2018
"IoT adoption is expected to generate a 21% increase in corporate profits by 2022. This business value comes from the ability to automate processes and collect and analyze massive amounts of data—so organizations can make better informed decisions and deliver powerful customer experiences. But how are organizations really putting IoT to work for their business? And how can IoT risks be mitigated so these rewards can truly be achieved? This e-book explores the potential of IoT in the enterprise, which industries are leading the way and how to secure your connected things. It also provides: • 7 best practices for data privacy and security policies • 7 items to consider for device security • 6 key considerations for network connection security"
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Great Bay Software
Published By: Aryaka Networks     Published Date: Sep 06, 2018
Makino, a leader in manufacturing, required a global network to transfer massive amounts of data from their HQ to regional tech departments. Learn why Makino replaced their MPLS circuits with Aryaka.
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Aryaka Networks
Published By: Dell EMC     Published Date: Nov 03, 2016
Small and midsize businesses grapple with the same massive data growth that’s challenging larger organizations, yet they have fewer resources to devote to managing the deluge. A new option from Dell EMC, powered by an Intel® Xeon® processor, is finally giving SMBs access to storage area network technology that’s affordable and easy to manage. Read this white paper to learn more now, including what this technology can offer in terms of benefits, performance, and more.
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storage, server-based, san, vmware, raid, storage management, data integration
    
Dell EMC
Published By: SAS     Published Date: Jan 17, 2018
Consider the many ways that a customer encounters your brand – organic results on a search engine, display media campaigns, social media links, re-targeting on external sites, etc. One thing is certain – consumer journeys are far from linear. They can occur across multiple platforms, devices and browsers. The problem is that organizations are often constrained to channel-limiting decisions regarding their media investment allocations. Marketing attribution helps you analyze the impact and business value of company-generated marketing interactions to help make the best marketing investment decisions. The challenge is to interpret the massive volumes of customer data that continues to expand day by day.
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SAS
Published By: Cisco     Published Date: Jun 21, 2016
The demands on IT today are staggering. Most organizations depend on their data to drive everything from product development and sales to communications, operations, and innovation. As a result, IT departments are charged with finding a way to bring new applications online quickly, accommodate massive data growth and complex data analysis, and make data available 24 hours a day, around the world, on any device. The traditional way to deliver data services is with separate infrastructure silos for various applications, processes, and locations, resulting in continually escalating costs for infrastructure and management. These infrastructure silos make it difficult to respond quickly to business opportunities and threats, cause productivity-hindering delays when you need to scale, and drive up operational costs.
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Cisco
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make better
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Oracle CX
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
Published By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
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data visualization, sas, big data, visual analytics, data exploration, analysis, networking, knowledge management, data management
    
SAS
Published By: SAS     Published Date: Nov 04, 2015
Big data evolution: forging new corporate capabilities for the long term is an Economist Intelligence Unit report, sponsored by SAS. It explores how far along companies are on their data journey and how they can best exploit the massive amounts of data they are collecting.
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sas, big data, big data evolution, economist intelligence unit, eiu, data journey, networking, it management, data management
    
SAS
Published By: SAP     Published Date: May 22, 2012
With SAP In-Memory Computing, massive amounts of data can be queried and analyzed 3600 times faster than before -- turning questions into action and giving you insight you can act on immediately. Your competitors will still be pondering the numbers while you are making your next move. Discover this eBook to learn more.
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sap, ebook, business, computing, technology, real-time, business technology, it management, business analytics, business intelligence, data quality
    
SAP
Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services
Published By: Oracle     Published Date: Feb 15, 2018
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. A recent Gartner survey found that more than 80 percent of CIOs consider Infrastructure as a Service (IaaS) to be a viable option and 10 percent of CIOs already consider it to be their default choice for infrastructure. Utilizing an infrastructure with an elastic, pay-as-you-go service model not only reduces costs and worries, but also frees IT organizations to innovate in ways that will enhance business growth.
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iaas, business, legacy, infrastructure, oracle, organisations
    
Oracle
Published By: Oracle     Published Date: Feb 16, 2018
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. A recent Gartner survey found that more than 80 percent of CIOs consider Infrastructure as a Service (IaaS) to be a viable option and 10 percent of CIOs already consider it to be their default choice for infrastructure. Utilizing an infrastructure with an elastic, pay-as-you-go service model not only reduces costs and worries, but also frees IT organizations to innovate in ways that will enhance business growth.
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iaas, business, legacy, infrastructure, oracle, organisations
    
Oracle
Published By: Oracle     Published Date: Nov 08, 2017
To succeed in today’s competitive reality, businesses need to free themselves from the limitations of legacy IT infrastructure. The days of purchasing hardware and maintaining massive data centers to run IT must come to an end. Managing and maintaining your infrastructure is simply too expensive. Explanation of the Oracle IaaS solutions and cases studies.
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oracle database, enterprise, quality assurance, data center, server infrastructure, storage management, oracle
    
Oracle
Published By: IBM APAC     Published Date: May 18, 2017
Today, everything computes. Intelligence has been infused into things no one would recognize as computers: appliances, cars, roadways, clothes, even rivers and cornfields. Tomorrow, many of these things will think, thanks to breakthroughs in cognitive computing. Even the things that don’t think themselves will continue collecting and reporting the massive quantities of data that feed cognitive systems.
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ibm, tss, cloud, mobile, appliances
    
IBM APAC
Published By: Hewlett Packard Enterprise     Published Date: Jul 12, 2018
Organizations are running their business on exponentially more data, created by more users, from different devices, and through different IT services and digital processes. While some data growth is fueled by new applications, it also arrives increasingly from non-traditional IT sources, including digital media, machines, and edge devices. Edge IoT devices are generating a massive amount of data that must be managed, monitored, stored, and analyzed. Deciding where to perform each of these functions is critical to supporting new data-driven global business services and processes. This blueprint from HPE Pointnext, the Services division of HPE, is based on real-world experiences from many customers across a range of industries on how to leverage flash storage modernization.
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Hewlett Packard Enterprise
Published By: MarkLogic     Published Date: Jun 09, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic
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MarkLogic
Published By: PernixData     Published Date: Jun 01, 2015
David Klee and Bala Narasimhan discuss the tips for DBAs and Infrastructure Admins to maximize the performance of their systems without massive restructuring of their environments. - See more at: http://www.pernixdata.com/resource/database-experts-bringing-together-databases-virtualization-and-storage#sthash.KKii86jl.dRQXxxik.dpuf
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pernixdata, virtualization, storage, dbas, databases, it management
    
PernixData
Published By: Microsoft     Published Date: Jul 07, 2016
Enable, protect, and manage mobile productivity Protecting email and other corporate data on mobile devices—without bogging down workers—is one of today’s biggest challenges faced by IT pros today. With the massive, global proliferation of mobile devices, it can be a struggle to manage and secure these devices and your data, both on approved enterprise applications and shadow IT. Download this free e-book to learn how to control the uncontrollable and create a solution that: • Enables continuous management, so your employees are more productive. • Offers threat protection, so you can detect abnormal user behavior, suspicious activities, known malicious attacks, and security issues right away. • Guards against data leakage. • Provides security after loss or theft of mobile devices. • Helps protect your Microsoft Office email, files, and apps.
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mobile devices, enterprise, best practices, management, business intelligence, productivity
    
Microsoft
Published By: Carbonite     Published Date: Apr 09, 2018
Global data deduplication provides important benefits over traditional deduplication processes because it removes redundant data through entire enterprises, not just single devices. Global deduplication increases the data deduplication ratio—the size of the original data measured against the size of the data store after redundancies are removed. This helps reduce the amount of storage required at a time when businesses face exponential storage growth. Chief benefits of global deduplication include: • Reductions in storage of up to 60% • The most optimal deduplication ratio • Enterprise-wide reach • Massive reductions in backup-related WAN traffic By shrinking storage capacity needs, data deduplication can cut storage costs quickly. At the same time, businesses today need to access and utilize their data in real time, making the most recent and relevant information available. By eliminating redundant data, deduplication technology makes it simpler for data to be managed across various b
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Carbonite
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
This infographic looks at Software Engineers who do awesome ops, ensuring millions of users having super-fast and reliable service from today’s massively complex systems! We look at the key skills and tools required in Modern monitoring and analytics: -Full Stack Visibility -Noise Reduction -Anomaly Detection -Modern Instrumentation -Data- Driven Insights Put your SRE Teams in the Driver's Seat with a new model for application monitoring.
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CA Technologies EMEA
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