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By: CA Technologies EMEA     Published Date: Sep 11, 2018
SDx Central host a webcast to look at troubleshooting top-down application performance in Cisco SDWAN networks as well as assessing impact to application bottoms- up in a Cisco ACI data Center. Featuring: Jeremy Rossbach, Sr. Product Marketing Manager, CA Technologies Jason Normandin, Sr Principal Manager, CA Technologies Jessica Lyons Hardcastle, Senior Editor, SDx Central
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     CA Technologies EMEA
By: CA Technologies EMEA     Published Date: Sep 10, 2018
Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how: Join us for this webcast to learn: - How Test Data Manager finds, builds, protects and delivers test data fast! - How to get your testing teams moving towards self sufficiency with test data Get your questions answered. Come away happy! Recorded Aug 20 2018 60 mins Presented by Prashant Pandey, CA Technologies
Tags : continuous delivery, application delivery, testing, test data management
     CA Technologies EMEA
By: CA Technologies EMEA     Published Date: Sep 07, 2018
If you’re relying on manual processes for testing applications, artificial and automated intelligence (AI) and machine learning (ML) can help you build more efficient continuous frameworks for quality delivery. In this on-demand webinar, “Continuous Intelligent Testing: Applying AI and ML to Your Testing Practices,” you’ll learn how to: Use AI and ML as the new, necessary approach for testing intelligent applications. Strategically apply AI and ML to your testing practices. Identify the tangible benefits of continuous intelligent testing. Reduce risk while driving test efficiency and improvement. This webinar offers practical steps to applying AI and ML to your app testing. The speaker, Jeff Scheaffer, is senior vice president and general manager of the Continuous Delivery Business Unit at CA Technologies. His specialties include DevOps, Mobility, Software as a Service (SaaS) and Continuous Delivery (CDCI).
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     CA Technologies EMEA
By: CA Technologies EMEA     Published Date: Sep 07, 2018
Companies struggle to find the right test data when testing applications which leads to bottlenecks, defects and constant delays. There is a better way and we want to show you how: Join us for this webcast to learn: - How Test Data Manager finds, builds, protects and delivers test data fast! - How to get your testing teams moving towards self sufficiency with test data Get your questions answered. Come away happy! Recorded Aug 20 2018 60 mins Presented by Prashant Pandey, CA Technologies
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     CA Technologies EMEA
By: Iterable     Published Date: Sep 07, 2018
Whether they want tickets for the next Lady Gaga concert, the World Series, the Indianapolis 500, or Hamilton, people are quickly discovering that SeatGeekis the place to find the best selection and great bargains. This relative newcomer to the online ticket business has quickly grown to offer the largest inventory of live event tickets on the web, in addition offering differentiating services like best-bargain ratings and notifications when a fan’s favorite team or entertainer will be performing nearby. Email and push have been the primary channels for interacting with customers. However, according to Ben Clark, Vice President of Customer Retention, the marketing team previously struggled to deliver consistent, relevant messaging across channels because their email and push tools ran on separate platforms. The old tools were also cumbersome to use and offered limited functionality. Worse yet, they didn’t support the team’s AI driven, omni-channel marketing strategy, which includes rea
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     Iterable
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
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
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
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
Tags : 
     Amazon Web Services
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.
Tags : 
     Amazon Web Services
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.
Tags : 
     Amazon Web Services
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
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
By: Amazon Web Services     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.
Tags : 
     Amazon Web Services
By: Amazon Web Services     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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     Amazon Web Services
By: Pure Storage     Published Date: Sep 04, 2018
Veritas' NetBackup software has long been a favorite for data protection in the enterprise, and is now fully integrated with the market-leading all-flash data storage platform: Pure Storage. NetBackup leverages the FlashArray API for fast and simple snapshot management, and protection copies can be stored on FlashBlade for rapid restores and consolidation of file and object storage tiers. This webinar features architecture overviews as well as 2 live demo's on the aforementioned integration points.
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     Pure Storage
By: Amazon Web Services     Published Date: Aug 23, 2018
AWS supports healthcare organizations with HIPAA Eligible Services and the AWS Healthcare Compliance program. AWS products and services are being used by many customers that handle electronic patient health information (PHI) to build solutions that meet HIPAA and HITRUST regulatory requirements for cloud-based workloads. In this webinar, you’ll learn how AWS HIPAA Eligible Services can help you build secure workloads to handle PHI in compliance with HIPAA and HITRUST standards. AWS Healthcare experts will be joined in this webinar by AWS Partner Network (APN) Partners ClearDATA and Cloudticity.
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     Amazon Web Services
By: Akamai Technologies     Published Date: Aug 22, 2018
Independent technology research firm Forrester evaluated web application firewall (WAF) vendors and published the results in The Forrester Wave™: Web Application Firewalls, Q2 2018. Akamai Technologies emerged as one of the leaders after a comprehensive evaluation on 33 criteria. The report states that security pros require a WAF that will automatically protect web applications, stay ahead of zero-day attacks and protect new application formats including APIs and serverless architectures. The report also reveals detailed findings for the 10 most significant WAF vendors. Akamai’s Kona Site Defender was the top scorer in the zero-day attacks criterion and one of the select vendors rated a Leader, the highest-ranking level in the report.
Tags : forrester, wave, web, application, firewalls, akamai
     Akamai Technologies
By: Akamai Technologies     Published Date: Aug 22, 2018
Malicious botnets present multiple challenges to enterprises — some threaten security, and others merely impact performance or web analytics. A growing concern in the bot environment is the practice of credential stuffing, which capitalizes on both a bot’s ability to automate repeat attempts and the growing number of online accounts held by a single user. As bot technologies have evolved, so have their methods of evading detection. This report explains how the credential stuffing exploit challenges typical bot management strategies, and calls for a more comprehensive approach.
Tags : management, bot, security, credential, akamai
     Akamai Technologies
By: Evariant     Published Date: Aug 22, 2018
Health systems that implement CRM-based engagement solutions stand to achieve significant strategic gains, from acquiring and retaining patients to supporting more positive clinical outcomes to increasing referrals to member providers and practices. Driven by easy access to rich consumer data and analytic profiling, as well as patient encounter histories, CRM-based engagement centers optimized for healthcare enable health system CSRs to quickly offer personalized responses to consumer or patient inquiries via multiple in- and outbound media, including telephone, email, social, and web.
Tags : call center, healthcare crm, patient experience, patient acquisition, healthcare transformation
     Evariant
By: BlackLine     Published Date: Aug 21, 2018
During this webcast, you will learn: Why the traditional financial close process is so challenging How to begin the conversation about process improvement How technology improves accuracy and saves time
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     BlackLine
By: Amazon Web Services     Published Date: Aug 20, 2018
A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated querying: ability to run a query across heterogeneous sources of data • Data consumption: support numerous types of analysis - ad-hoc exploration, predefined reporting/dashboards, predictive and advanced analytics
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     Amazon Web Services
By: Splunk     Published Date: Aug 17, 2018
IT organizations using machine data platforms like Splunk recognize the importance of consolidating disparate data types for top-down visibility, and to quickly respond to critical business needs. Machine data is often underused and undervalued, and is particularly useful when managing infrastructure data coming from AWS, sensors and server logs. Download “The Essential Guide to Infrastructure Machine Data” for: The benefits of machine data for network, remote, web, cloud and server monitoring IT infrastructure monitoring data sources to include in your machine data platform Machine data best practices
Tags : cloud monitoring, aws, azure, gcp, cloud, aws monitoring, hybrid infrastructure, distributed cloud infrastructures, reduce mttr/mtti, cloud monitoring free, cloud monitoring tools, cloud monitoring service, cloud billing monitoring, cloud monitoring architecture, cloud data monitoring, host monitoring, *nix, unix, linux, servers
     Splunk
By: F5 Networks Inc     Published Date: Aug 16, 2018
While the choices facing you may seem daunting, the truth is that there’s never been a better time to shop for a web application firewall. WAF technology is now more accessible, affordable, and manageable than ever before—which is a good thing, because companies need the protection a WAF offers now more than ever. For more information about choosing the WAF that’s right for you, visit f5.com/security.
Tags : waf, companies, management, technology
     F5 Networks Inc
By: Amazon Web Services     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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     Amazon Web Services
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