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Published By: Fortinet EMEA     Published Date: Nov 26, 2018
Most organizations are in the midst of some form of digital transformation (DX), transforming how they bring products and services to the market—and ultimately deliver value to their customers. But DX initiatives also bring complexity for the network operations team. With business-critical services distributed across multiple clouds, this leads to potential performance issues, especially at branch locations. Given these realities, it is no wonder that software-defined wide-area network (SD-WAN) technology is rapidly going mainstream. Unfortunately, SD-WAN is an example of the paradox of DX: transformative technology can potentially move the business to the next level, but the expanded attack surface it creates can expose the organization to significant risk. That is why an SD-WAN deployment, like every other DX effort, should be accompanied by a security transformation (SX) that rethinks outdated principles, broadens protection beyond the data center, and integrates the security archit
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Fortinet EMEA
Published By: AWS     Published Date: Oct 26, 2018
Today’s organisations are tasked with analysing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organisations are finding that in order to deliver analytic insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. A data lake is an architectural approach that allows you to store enormous amounts of data in a central location, so it’s readily available to be categorised, processed, analysed, and consumed by diverse groups within an organisation? Since data—structured and unstructured—can be stored as-is, there’s 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.
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data, lake, amazon, web, services, aws
    
AWS
Published By: Carbonite     Published Date: Oct 10, 2018
Overview Key Challenges Organizations still struggle with communication between data owners and those responsible for administering DLP systems, leading to technology-driven — rather than business-driven — implementations. Many clients who deploy enterprise DLP systems struggle to get out of the initial phases of discovering and monitoring data flows, never realizing the potential benefits of deeper data analytics or applying appropriate data protections. DLP as a technology has a reputation of being a high-maintenance control — incomplete deployments are common, tuning is a never-ending process, lack of organization buy-in is low, and calculations of ROI are complex.
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Carbonite
Published By: Akamai Technologies     Published Date: Oct 02, 2018
"According to Forrester, the right engagement model can help companies achieve double-digit growth. Simply put, establishing trust through differentiated and secure digital experiences is key to competing in today’s marketplace. Achieve the necessary balance and your company wins. This handbook is designed to start you on the road to achieving this equilibrium by creating a virtuous circle of interaction with your customers. You’ll learn: - What defines world-class digital experiences - How to balance data, experience, and security - Real-world success stories and takeaways"
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Akamai Technologies
Published By: Akamai Technologies     Published Date: Oct 02, 2018
"According to Forrester, the right engagement model can help companies achieve double-digit growth. Simply put, establishing trust through differentiated and secure digital experiences is key to competing in today’s marketplace. Achieve the necessary balance and your company wins. This handbook is designed to start you on the road to achieving this equilibrium by creating a virtuous circle of interaction with your customers. You’ll learn: - What defines world-class digital experiences - How to balance data, experience, and security - Real-world success stories and takeaways"
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Akamai Technologies
Published By: Akamai Technologies     Published Date: Oct 02, 2018
"According to Forrester, the right engagement model can help companies achieve double-digit growth. Simply put, establishing trust through differentiated and secure digital experiences is key to competing in today’s marketplace. Achieve the necessary balance and your company wins. This handbook is designed to start you on the road to achieving this equilibrium by creating a virtuous circle of interaction with your customers. You’ll learn: - What defines world-class digital experiences - How to balance data, experience, and security - Real-world success stories and takeaways"
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Akamai Technologies
Published By: Akamai Technologies     Published Date: Oct 02, 2018
"According to Forrester, the right engagement model can help companies achieve double-digit growth. Simply put, establishing trust through differentiated and secure digital experiences is key to competing in today’s marketplace. Achieve the necessary balance and your company wins. This handbook is designed to start you on the road to achieving this equilibrium by creating a virtuous circle of interaction with your customers. You’ll learn: - What defines world-class digital experiences - How to balance data, experience, and security - Real-world success stories and takeaways"
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Akamai Technologies
Published By: Akamai Technologies     Published Date: Oct 02, 2018
"According to Forrester, the right engagement model can help companies achieve double-digit growth. Simply put, establishing trust through differentiated and secure digital experiences is key to competing in today’s marketplace. Achieve the necessary balance and your company wins. This handbook is designed to start you on the road to achieving this equilibrium by creating a virtuous circle of interaction with your customers. You’ll learn: - What defines world-class digital experiences - How to balance data, experience, and security - Real-world success stories and takeaways"
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Akamai Technologies
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
Suddenly, the network is cool again. Tech trends such as the Internet of Things, software-defined networking and growing end-user expectations all add up to a demand for “dialtone” network performance and reliability. But as the data deluge continues to accelerate, and as organizations continue to rely on multiple clouds to achieve business goals, how can the network keep up, much less meet tomorrow’s demands? This e-book looks at the trends that are impacting the enterprise network—the modern network—the issues it creates for NetOps professionals, and how organizations can act today to plan for tomorrow.
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CA Technologies EMEA
Published By: CA Technologies EMEA     Published Date: Sep 11, 2018
The advent of cloud computing and software-defined data center architectures for modern application delivery has made networking more sensitive than ever before. Applications in the digital age require networks that can expand and contract dynamically based on consumer demand. Enterprises are implementing software-defined networking (SDN) to deliver the automation required by these new environments, but the dynamic nature of SDN makes network management and monitoring fundamentally more challenging. Network infrastructure teams need monitoring tools that can provide visibility into these new and constantly changing networks. This white paper explores the importance of SDN monitoring and examines a leading example of a solution, CA Performance Management with CA Virtual Network Assurance integration.
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CA Technologies EMEA
Published By: SAS     Published Date: Aug 28, 2018
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
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SAS
Published By: Dell Server     Published Date: Aug 17, 2018
For those struggling to convince their leadership to adopt software defined storage (SDS), this eBook from Dell EMC can help you make the case. We’ve gathered 5 ways server technology is advancing software-defined storage adoption, making it easier for businesses to implement SDS in the modern data center. The biggest misconception about SDS is that the underlying hardware is not important. It’s true, many of the features and performance enhancements are now provided by software.1 But, if you thought the hardware provider doesn’t matter when implementing an SDS solution, think again. We’ll show you why.
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Dell Server
Published By: Datastax     Published Date: Aug 15, 2018
"As an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet your company's business goals. Read this comprehensive guide to learn the ins and outs of designing data management architectures to manage mixed workloads at scale."
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
"As an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet your company's business goals. Read this comprehensive guide to learn the ins and outs of designing data management architectures to manage mixed workloads at scale."
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Datastax
Published By: Hitachi Vantara     Published Date: Aug 14, 2018
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
Published By: IBM     Published Date: Aug 09, 2018
This Aberdeen report outlines the impact of software-defined data center in empowering organizations to get the most of their IT.
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IBM
Published By: Datastax     Published Date: Aug 07, 2018
"As an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet your company's business goals. Read this comprehensive guide to learn the ins and outs of designing data management architectures to manage mixed workloads at scale."
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Datastax
Published By: Hitachi Vantara     Published Date: Aug 02, 2018
In this book, we are going to look at the key trends driving the modernization of data infrastructure. We’ll see how organizations are adapting and flourishing in a data-driven world. For some time, headlines have been around the internet of things (IoT), big data and data analytics. While these developments are important, the reality is that you cannot take full advantage of them without modernization. We’re going to look at these trends and priorities in detail, then look at the three key drivers of modernization: governance, mobilization and analytics. We’ll also consider the technologies that make up modern data infrastructure including artificial intelligence (AI), flash storage, converged and hyperconverged platforms and software-defined infrastructures. By making sense of data, we make sense of the world. With more data than ever before, we have the tools to turn all that information into intelligent innovation and change the way the world works.
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data infrastructure, big data, internet of things
    
Hitachi Vantara
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: SAS     Published Date: May 24, 2018
This paper provides an introduction to deep learning, its applications and how SAS supports the creation of deep learning models. It is geared toward a data scientist and includes a step-by-step overview of how to build a deep learning model using deep learning methods developed by SAS. You’ll then be ready to experiment with these methods in SAS Visual Data Mining and Machine Learning. See page 12 for more information on how to access a free software trial. Deep learning is a type of machine learning that trains a computer to perform humanlike tasks, such as recognizing speech, identifying images or making predictions. Instead of organizing data to run through predefined equations, deep learning sets up basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. Deep learning is used strategically in many industries.
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SAS
Published By: Oracle APAC     Published Date: May 24, 2018
Enterprises are rapidly embracing cloud services to speed innovation and drive cost savings. The most innovative IT organizations in these enterprises are shifting to software-defined “virtual data centers” that connect, aggregate, and configure public and private computing resources in unprecedented ways. These IT organizations use open private cloud infrastructure within a corporate data center or at a hosting site (managed cloud services) in conjunction with public cloud services to meet all their business requirements.
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Oracle APAC
Published By: CA Technologies EMEA     Published Date: May 23, 2018
To move your business from its current state to the connected enterprise, you have to define a common API to your database and other systems, while providing the infrastructure to support the new model. The new systems must incorporate the security safeguards while ensuring the infrastructure can support the new growing, but variable, load. With the rapid adoption of mobile and web-based services across the industry, the REST architecture has emerged as the de facto standard for API integration across systems. This white paper addresses the concepts of REST, creating REST APIs for your databases and integrating with other systems: • What is REST? • Why use REST for database access? • Building REST infrastructure for database access • The REST enabled database • Integrating REST with other services • Criteria for selecting REST services platform
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CA Technologies EMEA
Published By: Dell PC Lifecycle     Published Date: May 15, 2018
Windows Server 2016 is an important release in enabling IT to deliver on the promise of the third platform. It provides a path to a seamless, integrated cloud environment—incorporating public, private and hybrid models—with the software-defined data center as the hub. In migrating to this next-generation data center model, it is essential that IT leaders choose the right partner for the compute platform, as well as storage, networking and systems management
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Dell PC Lifecycle
Published By: Datastax     Published Date: May 14, 2018
"What’s In The Report? The Forrester Wave: Translytical Data Platforms, Q4 2017 report reviews companies that offer “translytical data platforms”, which Forrester defines as an “emerging technology” that delivers “faster access to business data to support various workloads and use cases.” Download the report if you want to learn: -Why Forrester named DataStax a leader among 12 companies it identifies as “the most significant translytical vendors. -What constitutes a “translytical data platform” and why translytical data platforms are so critical for enterprise data strategies today. Why performance, scale, security, and use-case support are the key differentiators."
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Datastax
Published By: Dassault Systèmes     Published Date: May 09, 2018
Discerning and demanding consumers expect meaningful retail interactions. Creating new world-class experiences is vital to differentiate products and boost profits in the consumer goods market. • Let me shop when and how I want: Technology to research and buy products defines consumer behavior, driven by social media’s “see now, buy now” mentality. • Give me relevant data: With ever-expanding information, every touchpoint should have customer data that matters. • Give me a truly unique experience: Innovative retailers use new partners and tools to deliver personalized consumer experiences. • Pair my products with consistently good service: New customer service technologies are crucial in a world with more consumer/retailer choices. • Make my retail environments better: Consumers want memorable, differentiated experiences in user-friendly digital and physical retail environments. I invite you to download your targeted industry analysis and uncover the expectations to take into account a
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Dassault Systèmes
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