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Published By: AWS     Published Date: Nov 07, 2018
As more enterprises are moving some, if not all of their data and applications to the cloud – cost effectiveness, network performance and security are top of mind. AT&T NetBond for Cloud provides a dynamic, private connect to Amazon Web Services (AWS). Its enhanced infrastructure makes it easier to securely connect applications, platforms, and services. With AT&T NetBond for Cloud, customers are getting a single, end-to-end solution from one provider that allows them to maintain a hybrid environment, meaning that can utilize their current investments in their on-premises infrastructure and strategy. Download this eBook to learn how AT&T NetBond® can accelerate your journey to the cloud, improve ROI and secure your applications. Join our webinar to learn - Why Aira chose AT&T NetBond® to establish a global network connecting smart glasses to trained, professional agents - Best practices for quickly shifting network capacity to meet changing demands in real-time - How to take advantag
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AWS
Published By: AWS     Published Date: Nov 07, 2018
Enterprises seeking the security and performance capabilities of establishing their own private network are often turned away by the high cost and technical expertise required. AT&T NetBond® for Cloud helps establish private, dynamic connectivity from on-premises data centers to Amazon Web Services (AWS) in as little as 2-3 days. Aira, a customer focused on augmented reality, has leveraged the global connectivity capabilities of AT&T NetBond® to connect low vision or blind smart glasses users with a network of agents to guide the visually impaired through everyday tasks such as interpreting prescriptions. Download this case study with AT&T, Aira, and AWS to learn how AT&T NetBond® can accelerate your journey to the cloud, improve ROI and secure your applications. Join our webinar to learn - Why Aira chose AT&T NetBond® to establish a global network connecting smart glasses to trained, professional agents - Best practices for quickly shifting network capacity to meet changing demands
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AWS
Published By: AWS     Published Date: Nov 07, 2018
To best support global users and customers, enterprises require seamlessly connectivity between branch office locations, applications, and workloads hosted in the cloud. Many WAN solutions are ill-equipped for this task because they are generally rigid, complex to configure, and expensive to maintain. IoT adoption, a dramatic increase of the number of network devices, and the sophistication of security threats further compounds this challenge. Geographically-distributed devices need secure cloud connectivity, limiting the ability of existing WAN solutions to fulfill the need of distributed organizations. Cisco SD-WAN on Amazon Web Services (AWS) is an overlay WAN architecture that is designed to address modern enterprise cloud applications and workloads, heterogeneous WAN connectivity, distributed global workforces, and other business needs that traditional WAN solutions cannot meet. Learn more by downloading this solution brief. Join our webinar to learn -How to migrate a data ce
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AWS
Published By: AWS     Published Date: Oct 31, 2018
Watch this webinar to learn how a financial services organization uses a simple, comprehensive data governance solution from Dataguise to discover, protect, and monitor sensitive personal data in real time across all its Amazon Web Services (AWS) data repositories, and to prepare for GDPR compliance.
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financial, services, organization, gdpr
    
AWS
Published By: AWS     Published Date: Oct 30, 2018
As cybercriminals look for new ways to break through defenses, it’s vital that organizations have access to real-time operational intelligence across their applications, services, and security infrastructure. As Recreational Equipment, Inc. (REI) migrated applications to Amazon Web Services (AWS), it needed to expand security capacity for edge protection of its AWS VPCs. REI chose Splunk for security monitoring, historical analysis, and data visualization in real time, to help it investigate events and mitigate operational risks.
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rei, intelligent, threat, detection, edge, protection, aws, splunk
    
AWS
Published By: AWS     Published Date: Oct 30, 2018
Enhance the Availability & Performance of SAP HANA Apps Abstract: SAP HANA delivers powerful analytics capabilities that can help you improve business performance and drive digital transformation. You can more easily build reliable and performant SAP HANA-powered landscapes with SUSE Linux Enterprise Server for SAP Applications and Amazon Web Services (AWS). That’s because SUSE can help you achieve near zero downtime and sustain high-performance levels, while AWS delivers a broad and deep set of cloud services that are certified to fulfill the compute, memory, and storage requirements of SAP HANA.
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availability, performance, sap, hana, apps
    
AWS
Published By: AWS     Published Date: Oct 30, 2018
How Snapper Further Protects Data in Amazon S3 Using CWP for Storage Abstract: Snapper, a New Zealand-based company that develops custom account-based solutions, was creating an online concessions payment program for local students and needed a way to enhance the security of their personal information on Amazon Web Services (AWS). The solution had to further protect online student profiles and associated payment details stored in Amazon Simple Storage Service (Amazon S3) against malware and threats. Snapper chose Symantec Cloud Workload Protection for Storage (CWP for Storage) for its advanced malware protection, elastic scalability, and simple deployment requiring only a few hours.
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snapper, data, amazon, cwp, storage
    
AWS
Published By: AWS     Published Date: Oct 30, 2018
Businesses that want to drive new value from critical SAP workloads are looking at Amazon Web Services (AWS) due to its breadth and depth of services and rapid pace of innovation. As they pursue this initiative, organizations commonly seek an experienced partner to reliably migrate critical SAP workloads and integrate them with AWS services to take full advantage of the potential cost and operational efficiencies. Linke, an AWS Partner Network (APN) Premier Consulting Partner focused on running SAP on AWS, can help you achieve these initiatives. Transform your SAP landscapes with streamlined migration practices and technology proven to accelerate the deployment of new SAP landscapes by 80% and reduce operational costs 70% compared to on-premises. Register for our upcoming webinar to learn how Linke helped Ávoris, a leading tourism business in Spain, migrate their SAP landscape to AWS in just three months, enabling drastic improvements to performance, reliability, and scale."
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sap, performance, aws, linke, avoris
    
AWS
Published By: AWS     Published Date: Oct 30, 2018
Snapper, a New Zealand-based company that develops custom account-based solutions, was creating an online concessions payment program for local students and needed a way to enhance the security of their personal information on Amazon Web Services (AWS). The solution had to further protect online student profiles and associated payment details stored in Amazon Simple Storage Service (Amazon S3) against malware and threats. Snapper chose Symantec Cloud Workload Protection for Storage (CWP for Storage) for its advanced malware protection, elastic scalability, and simple deployment requiring only a few hours.
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data, amazon, cwp, storage
    
AWS
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: AWS     Published Date: Oct 26, 2018
Migrating to Amazon Web Services (AWS) enables organisations to transform the way they do business. It empowers them to accelerate the speed at which they conduct business, frees them from the constraints of on-premises data centres, and provides the flexibility to pay only for what they use. This eBook will detail how cloud adoption can deliver significant business benefits.
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business, amazon, web, services, organisations, data
    
AWS
Published By: Cohesity     Published Date: Oct 02, 2018
Public cloud expansion will continue to see double digit growth over the next five years according to IDC. Making the public cloud interoperable with on-premises solutions needs to be part of your hybrid cloud strategy for secondary data workloads. Legacy solutions, however weren’t architected with the cloud in mind. They require use of cloud gateways and don’t scale well in the cloud. Cohesity integrates with Amazon Web Services, Microsoft Azure, and Google Cloud Platform to extend your on-premises data protection solution to these public cloud services. Our built-in cloud capabilities give you flexibility to use the cloud for multiple use cases. Download the solution brief for more details.
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solution, brief, enterprise, grade, capabilities, public, cloud, data
    
Cohesity
Published By: Amazon Web Services EMEA     Published Date: Sep 24, 2018
Under GDPR, we all have new obligations to improve the security and privacy of personal data at our organisations. With the new Amazon Web Services eBook, GDPR: The Basics, you’ll gain a fundamental understanding of this new EU regulation. In this eBook, you will learn about: • How to view GDPR as an opportunity, and how you can build on it • Article 32 – a core part of the security principle • Data subject rights • Key players and responsibilities • And much more
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cloud computing, public sector, aws, healthcare, amazon web services
    
Amazon Web Services EMEA
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
AbeBooks, with Amazon Redshift, has been able to upgrade to a comprehensive data warehouse with the enlistment of Matillion ETL for Amazon Redshift. In this case study, we share AbeBooks’ data warehouse success story.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technolog
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Amazon Web Services
Published By: AWS     Published Date: Sep 04, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics.
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AWS
Published By: AWS     Published Date: Sep 04, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technology
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AWS
Published By: AWS     Published Date: Aug 15, 2018
Earning and keeping your customer’s trust is one key to long-term success. In today’s digital world, your customers expect product and service innovations at an increasingly rapid pace. At the same time, customer privacy and data security are under close scrutiny. These trends help to explain why organizations are migrating to Amazon Web Services (AWS): to benefit from the agility, scalability, and security that it offers. AWS has always put cloud security first. This security-centric approach not only helps you more effectively protect your data on AWS, but can also help you meet security and compliance standards.
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AWS
Published By: AWS     Published Date: Aug 06, 2018
Learn more Salesforce and Amazon Web Services at http://amzn.to/2zhcn1v. Building and releasing cutting-edge applications quickly can be difficult when you lack proper tooling and integrated customer data. Salesforce Heroku delivers a cloud-native, developer-friendly platform that streamlines application development by integrating formerly siloed customer data and removing the burden of infrastructure management, allowing developers to focus their attention solely on creating customer-centric applications. Join the upcoming webinar to hear how the Financial Times builds customer-driven applications with faster cycle times with Heroku and AWS.
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AWS
Published By: AWS     Published Date: Aug 06, 2018
Learn more about SAP and Amazon Web Services at - http://amzn.to/2hmxZl4. Migrating your critical SAP workloads to AWS can help you enhance agility, reduce costs, and stimulate innovation, while also presenting an opportunity to upgrade to SAP HANA. However, many are still unsure about where to start, what their strategy and roadmap should look like, and whether to upgrade to SAP HANA before or after migration. Capgemini and AWS understand these considerations and provide mature solutions to help you plan and execute your migration. Additionally, the SAP Rapid Migration Test program (also known as AWS FAST) provides processes, procedures, and tools to help you eliminate any uncertainties of this transition, with results in as quick as 48 hours. Join our upcoming webinar to learn how Capgemini and AWS FAST help businesses thoroughly plan and accelerate migrations to SAP HANA.
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AWS
Published By: AWS     Published Date: Aug 01, 2018
Learn more about the AWS Partner Webinar Series at - https://amzn.to/2ILG0R7. Join our webinar to hear how Lyft and other data-driven organizations benefit from uncovering hidden insights in real time with AI solutions from Amazon Web Services (AWS) and Anodot. Learn how to prevent events that can impact your revenue and brand integrity with a solution that detects anomalies quickly, allowing you to address issues in a timely manner to help ensure a consistently high-quality experience for your customers.
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AWS
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
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