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Published By: Intel     Published Date: Nov 13, 2019
The combination of the SAP HANA platform and Intel® Optane™ DC persistent memory means that enterprises now have new ways to approach data tiering and management. Downtime can be significantly reduced because SAP HANA doesn’t have to reload data back into main memory after a server reboot, and more data can remain in the “hot” tier of main memory, which increases the amount of data that can be analyzed at a time. See this new infographic for a quick summary. Intel® Optane™ DC persistent memory also benefits SAP HANA by providing a higher memory density than DRAM, in addition to being byte-addressable. Up to three terabytes of Intel® Optane™ DC persistent memory is available per CPU socket on systems configured with future Intel® Xeon® Gold processors and future Intel® Xeon® Platinum processors, which means that an eight-socket server can contain up to 24 terabytes of Intel® Optane™ DC persistent memory.
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Intel
Published By: TIBCO Software     Published Date: Nov 07, 2019
Is your risk infrastructure showing signs of strain in the face of FRTB, Basel III, and BCBS 239? Imagine a risk function where discrepancies among business, risk, and finance views are eliminated, setting the stage for advanced technologies, robotic process automation, and machine learning. Take a step beyond first generation data governance towards unified data and analytics across the enterprise. In this whitepaper, we explore how technology can help financial institutions not just automate compliance, but demonstrate organizational commitment to the change management process and adherence to the principles of regulations and law. Get insights into: How you can master regulatory change as part of transforming the risk function, elevating knowledge and data resources through governance, MDM, data science, and analytics An overview of the key market challenges for delivering a unified data management and governance model Real-world case studies from G-SIBs focused on data governanc
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TIBCO Software
Published By: Google - SAP     Published Date: Nov 01, 2019
"Report: 2019 Predictions for Customer Data Management Where will the next evolutions in customer experience, consumer privacy and the digital enterprise lead your business in 2019? In this report, we break down the hottest trends, biggest roadblocks and most tantalising opportunities facing the customer data management market. Download it now to explore megatrends that we see as being vital considerations if you want to thrive – not just survive – in today’s and tomorrow’s digital marketplace. You’ll discover: Forecasts for the future of data protection and consumer privacy regulations Predictions about cutting-edge technologies such as artificial intelligence, machine learning and customer data platforms New frontiers ushered in by evolving cloud technology integrations and the convergence of the front and back offices"
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Google - SAP
Published By: Datastax     Published Date: Oct 21, 2019
The majority of enterprises using cloud will be living in a hybrid deployment world for the foreseeable future. Data and analytics leaders must understand the risks and benefits in using the primary scenarios for hybrid cloud DBMS, and how they align with core use cases and architectures. Read this Gartner report to learn more about how you can evolve your data management strategy to reflect the latest trends and technologies.
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Datastax
Published By: BehavioSec     Published Date: Oct 04, 2019
In this case study, a large enterprise with an increasing amount of off-site work from both work-related travel and a fast-growing remote workforce, is faced with a unique challenge to ensure their data security is scalable and impenetrable. Their data access policies rely on physical access management provided at the company offices and do not always provide off-site employees with the ability to complete work-critical tasks. Legacy security solutions only add burden to productivity, sometimes causing employees to ignore security protocols in order to simply complete their work. Upon evaluating security vendors for a frictionless solution, they selected BehavioSec for its enterprise-grade capabilities with on-premise deployment and integration with existing legacy risk management systems.
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BehavioSec
Published By: AWS     Published Date: Oct 01, 2019
Informatica is a leader in Enterprise Cloud Data Management, providing solutions that help organizations optimize, transform, and analyze their data. Informatica’s Intelligent Data Platform is built on a microservices architecture, helping organizations ensure their data is trusted, secure, governed, accessible, timely, relevant, and actionable on-premises or on the cloud.
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AWS
Published By: BehavioSec     Published Date: Sep 30, 2019
In this case study, a large enterprise with an increasing amount of off-site work from both work-related travel and a fast-growing remote workforce, is faced with a unique challenge to ensure their data security is scalable and impenetrable. Their data access policies rely on physical access management provided at the company offices and do not always provide off-site employees with the ability to complete work-critical tasks. Legacy security solutions only add burden to productivity, sometimes causing employees to ignore security protocols in order to simply complete their work. Upon evaluating security vendors for a frictionless solution, they selected BehavioSec for its enterprise-grade capabilities with on-premise deployment and integration with existing legacy risk management systems.
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BehavioSec
Published By: Datastax     Published Date: Sep 27, 2019
In this white paper, you’ll learn about the three most important issues surrounding data management in the age of IoT. You'll also learn how DataStax Enterprise, built on Apache Cassandra™ and native to hybrid cloud environments, is paving the way for the future of data management. Download the white paper to learn more now.
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Datastax
Published By: Group M_IBM Q3'19     Published Date: Sep 04, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: MicroStrategy     Published Date: Aug 21, 2019
To survive and thrive in an era of accelerating digital disruption, organizations require accessible data, actionable insights, continuous innovation, and disruptive business models. It’s no longer enough to prioritize and implement analytics – leaders are being challenged to stop doing analytics just for analytics’ sake and focus on defined business outcomes. In addition, these leaders are being challenged to bring predictive capabilities and even prescriptive recommended actions into production at scale. As AI and accelerated growth and transformation become top of mind, many enterprises are realizing that their current segmented analytics approach isn’t built to last, and that real transformation will require proper endto- end data management, data security, and a data processing platform company-wide. The year 2019 will be a turning point for many organizations that realize being data-driven doesn’t guarantee future success.
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MicroStrategy
Published By: Dell EMC Storage     Published Date: Aug 15, 2019
Businesses of all sizes struggle with aging gear and lack of storage. In fact, in a 2018 Enterprise Storage Forum survey, IT and business leaders cited these concerns as their two biggest storage infrastructure challenges. But in mid- to enterprise-sized businesses, where every dollar counts, fixing these problems can feel like a tall order. If you’re going to upgrade your storage, you need to make sure you’re getting an efficient array that will help you maximize the value of your storage and your data. We tested two storage arrays to see which could best help organizations meet these goals: the Dell EMC™ Unity™ XT 880F, and an all-flash offering in the entry-level market from a competitor (“Vendor A”). In our hands-on testing, the Dell EMC Unity XT array processed up to 93 percent more input/output operations per second (IOPS) in an 8KB 100% random read test and reduced 129 percent more data. It also carried out common management tasks faster, cutting the number of deployment steps i
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Dell EMC Storage
Published By: IBM APAC     Published Date: Jul 19, 2019
With businesses developing larger data volumes to improve their competitiveness, their IT infrastructures are struggling to store and manage all of the data. To keep pace with this increase in data, organizations require a modern enterprise storage infrastructure that can scale to meet the demands of large data sets, while reducing the cost and complexity of infrastructure management. This white paper examines IBM’s FlashSystem 9100 solution and the benefits it can offer businesses.
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IBM APAC
Published By: Akamai Technologies     Published Date: Jul 02, 2019
In today’s markets, customer identities and the personal data associated with them are among the most critical and valuable assets of any enterprise. Managing these digital identities — from first registration and login to the later stages of the customer relationship — and extracting business value from the associated data are complex tasks, commonly referred to as customer identity and access management (CIAM). When implementing a system to collect, manage, and utilize digital identity and customer data, companies have two basic choices: in-house development or buying a dedicated solution from a vendor specialized in CIAM (i.e., build vs. buy). Read this white paper for an in-depth analysis of CIAM implementation options, including: ? Must-haves for a successful, enterprise-grade CIAM system ? Pros and cons of implementation options, ranging from in-house software development to commercial off-the-shelf solutions ? A real-world case study that illustrates the ROI of an effective CI
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Akamai Technologies
Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q2'19
Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
Published By: TIBCO Software     Published Date: Jun 14, 2019
As recognized leader in master data management (MDM), and a pioneer in data asset management, TIBCO EBX™ software is an innovative, single solution for managing, governing, and consuming all your shared data assets. It includes all the enterprise class capabilities you need to create data management applications including user interfaces for authoring and data stewardship, workflow, hierarchy management, and data integration tools. And it provides an accurate, trusted view of business functions, insights, and decisions to empower better decisions and faster, smarter actions. Download this datasheet to learn: What makes EBX™ software unique Various capabilities of EBX software The data it manages
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TIBCO Software
Published By: Infinidat EMEA     Published Date: May 14, 2019
Infinidat® enterprise storage solutions are based upon the unique and patented Infinidat storage architecture—A fully abstracted set of Software-Defined Storage (SDS) functions integrated with the best-of-breed off-the-shelf commodity hardware. Infinidat’s software-focused architecture, an evolution and revolution in data management design over 30 years in the making, solves the conflicting requirements of bigger, faster, and less expensive. This paper discusses the technology that enables Infinidat to be the only enterprise storage provider that achieves multi-petabyte capacity with faster than all-flash performance (over 1.3M IOPS at microsecond latency) and an unprecedented seven-nines availability, all at the lowest Total Cost of Ownership (TCO).
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Infinidat EMEA
Published By: Datastax     Published Date: Apr 08, 2019
It is all about clouds: private, public, or a combination. 85% of enterprises have a multi-cloud strategy, as per the RightScale 2017 State of the Cloud Report. Most enterprises today have one or more application projects utilizing public cloud infrastructure providers. Having a data management strategy for hybrid cloud is a critical business need today.
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Datastax
Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
The life of an enterprise architect is becoming busy and difficult. Before the era of big data, the enterprise architect “only” had to worry about the data and systems within their own data center. However, over the past decade there were revolutionary changes to the way information is used by businesses and how data management platforms support the information available from modern data sources.
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Group M_IBM Q119
Published By: Lenovo - APAC     Published Date: Feb 01, 2019
Hyperconverged Infrastructure eBook Guide for the Enterprise Abstract. Business expectations and demands on the data center are increasing and the impact on today’s data centers is staggering. Organisations that can move quickly to leverage these new opportunities will find themselves in an advantageous position relative to their competitors. But time is NOT on your side! If your IT team often feel that they’re always in catch-up mode because it is difficult to quantify IT contributions, it is time to understand the benefit of hyperconverged infrastructure. What if your IT teams can take workloads off the traditional IT infrastructure and migrate it to a purpose-built solution that integrates compute, memory, storage, and virtualization? This is what Hyperconverged Infrastructure is all about. HCI appliances deliver extreme reliability, dependable security, extensive and predictable scalability, simplified management, and faster time-to-value. Download this premium guide to understand
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lenovodcg, nutanix, hyperconvergedinfrastructure, hci
    
Lenovo - APAC
Published By: Lenovo - APAC     Published Date: Feb 01, 2019
Hyperconverged Infrastructure eBook Guide for the Enterprise Abstract. Business expectations and demands on the data center are increasing and the impact on today’s data centers is staggering. Organisations that can move quickly to leverage these new opportunities will find themselves in an advantageous position relative to their competitors. But time is NOT on your side! If your IT team often feel that they’re always in catch-up mode because it is difficult to quantify IT contributions, it is time to understand the benefit of hyperconverged infrastructure. What if your IT teams can take workloads off the traditional IT infrastructure and migrate it to a purpose-built solution that integrates compute, memory, storage, and virtualization? This is what Hyperconverged Infrastructure is all about. HCI appliances deliver extreme reliability, dependable security, extensive and predictable scalability, simplified management, and faster time-to-value. Download this premium guide to understand
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Lenovo - APAC
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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Group M_IBM Q119
Published By: Rubrik EMEA     Published Date: Jan 04, 2019
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. DATA
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data, cloud, application, management, software, databases, servers, user
    
Rubrik EMEA
Published By: Datastax     Published Date: Dec 27, 2018
Most enterprises operate in a hybrid cloud environment, whether they know it or not. The benefits of hybrid cloud and multi-cloud architectures are numerous, but since most companies don’t even realize they’re using multi-cloud, they’re not taking full advantage of the multi/hybrid cloud environment. Read this ebook to learn how proper data management via an enterprise data layer empowers enterprises to unlock the full potential of their multi- and/or hybrid cloud strategies to achieve data autonomy while scaling efficiently, effectively, and safely.
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Datastax
Published By: Datastax     Published Date: Dec 27, 2018
Most enterprises operate in a hybrid cloud environment, whether they know it or not. The benefits of hybrid cloud and multi-cloud architectures are numerous, but since most companies don’t even realize they’re using multi-cloud, they’re not taking full advantage of the multi/hybrid cloud environment. Read this ebook to learn how proper data management via an enterprise data layer empowers enterprises to unlock the full potential of their multi- and/or hybrid cloud strategies to achieve data autonomy while scaling efficiently, effectively, and safely.
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Datastax
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