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Published By: Cisco Umbrella EMEA     Published Date: Aug 08, 2019
"Malicious cryptomining lets cybercriminals profit at your organization’s expense. No industry is safe from malicious cryptomining - a browser or software-based threat that enables attackers to secretly use an organization's computing power to mine digital currency. This fast-growing threat can lead to degraded system performance, soaring electricity usage, regulatory problems, and vulnerability to future attacks. View our infographic to find out who they’re targeting and how to protect your network. "
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Cisco Umbrella EMEA
Published By: Cisco Umbrella EMEA     Published Date: Aug 08, 2019
"Malicious cryptomining is a browser or software-based threat that enables attackers to secretly use an organization's computing power to mine digital currency. Why should you care? Cryptomining is the fastest-growing threat today, and cryptomining in your environment means you are vulnerable to other attacks. Malicious cryptomining also leads to hidden costs to your organization from stolen computing resources. Learn more about this fast-growing threat and how Cisco Umbrella can help. "
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Cisco Umbrella EMEA
Published By: Simba by Magnitude     Published Date: Jul 12, 2019
Siloed data has become the Achilles heel of marketing insights –especially in the world of B2B and B2B2C marketing. Today’s marketing and sales departments sit on a goldmine of data derived from the dozens of applications and data sources in their MarTech stack. Still, the real opportunity for insights is hidden in the combined data across applications. Combining data in a comprehensive way delivers a full picture of marketing efficacy and efficiency. In this eBook, learn about the origins of siloed data, and how data has emerged and evolved, as well as review the benefits that marketing can realize with connected data. Along the way, we’ll share some action items you can take to assess your current situation and build a plan to unify your data and fuel great marketing insights.
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Simba by Magnitude
Published By: Simba by Magnitude     Published Date: Mar 25, 2019
Software providers say that connecting applications to data sources, having adequate resources to do so, applying an effective maintenance strategy and addressing scalability are top-of-mind challenges. This eBook from the connectivity experts with 100s of person-years of data adapter experience is your how-to guide on the journey toward addressing these challenges to accelerate adoption of your application.
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Simba by Magnitude
Published By: Group M_IBM Q119     Published Date: Mar 08, 2019
The transformation imperative is now the imperative of the entire enterprise. The challenge to leaders of top financial services firms is to build operating models that are ready for anything. Join American Banker Editor-at-Large, Penny Crosman, and former IBM Global leader for strategy and design, Robert Schwartz, as they discuss this idea, pulling clips from a recent event for industry leaders, including: Bridget van Kalingen, IBM on redefining success with cloud, AI, quantum and blockchain Shari van Cleave, Wells Fargo on rethinking data strategies in the age of AI Bret King, Moven on rebuilding the bank from the ground up Rob Bauer, AIG on the ways to get started with transformative projects Marty Lippert, MetLife on creating space for innovation by migrating core operations off of legacy infrastructure and many more
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Group M_IBM Q119
Published By: Attunity     Published Date: Feb 12, 2019
How can enterprises overcome the issues that come with traditional data warehousing? Despite the business value that data warehouses can deliver, too often they fall short of expectations. They take too long to deliver, cost too much to build and maintain, and cannot keep pace with changing business requirements. If this all rings a bell, check out Attunity’s knowledge brief on data warehouse automation with Attunity Compose. The solution automates the design, build, and deployment of data warehouses, data marts and data hubs, enabling more agile and responsive operation. The automation reduces time-consuming manual coding, and error-prone repetitive tasks. Read the knowledge brief to learn more about your options.
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dwa, data warehouse automation, etl development, extract transform load tools, etl tools, data warehouse, data marts, data hubs data warehouse lifecycle
    
Attunity
Published By: PGi     Published Date: Feb 01, 2019
The tools we use to make business collaboration clear, fast, efficient and profitable continue to evolve. Does your solution garner sighs and eyerolls? It may be time to reimagine the classic tools you’ve relied on and explore the many ways that the right solution plays a crucial role in achieving your organization’s objectives. This white paper reveals how platform user experience and user interface impact business collaboration, and ways you can better empower your workforce with seamless meeting experiences. Check it out now!
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PGi
Published By: AWS     Published Date: Dec 17, 2018
Watch this webinar to hear from AWS data governance experts and the leadership teams at Okta and Etleap. Learn how your organization can create unified, compliant, and analyst-friendly data repositories on AWS.
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AWS
Published By: AWS     Published Date: Dec 17, 2018
Watch this webinar to discover how AbeBooks simplified their ETL process with Matillion, loading data directly into Amazon Redshift, enhancing business intelligence (BI) performance, and enabling business users to perform jobs on their own.
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AWS
Published By: AWS     Published Date: Nov 15, 2018
It isn’t always easy to keep pace with today’s high volume of data, especially when it’s coming at you from a diverse number of sources. Tracking these analytics can place a strain on IT, who must provide the requested information to C-suite and analysts. Unless this process can happen quickly, the insights grow stale. Download your complimentary ebook now to see how Matillion ETL for Amazon Redshift makes it easy for technical and business users alike to participate and own the entire data and analysis process. With Matillion ETL for Amazon Redshift, everyone from CTOs to marketing analysts can generate valuable business intelligence by automating data and analytics orchestrations.
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AWS
Published By: Attunity     Published Date: Nov 15, 2018
IT departments today face serious data integration hurdles when adopting and managing a Hadoop-based data lake. Many lack the ETL and Hadoop coding skills required to replicate data across these large environments. In this whitepaper, learn how you can provide automated Data Lake pipelines that accelerate and streamline your data lake ingestion efforts, enabling IT to deliver more data, ready for agile analytics, to the business.
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Attunity
Published By: AWS     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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AWS
Published By: AWS     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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AWS
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
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: Jamf     Published Date: Mar 20, 2018
The word is out. Apple has officially arrived in the enterprise. Once thought of as only for consumers, Apple has not so quietly created a $25 billion enterprise business — with no signs of slowing. If you want to join the Apple at work movement, but have questions yourself about security best practices or, more likely, need to alleviate the security concerns of your executives or information security team, we can help. Topics covered include: How the Apple ecosystem is structured How Apple management differs from Windows What security features are unique to the Apple ecosystem What to consider when adding new Apple devices What Apple integrations are available to leverage what you already have
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Jamf
Published By: Jamf     Published Date: Mar 13, 2018
The word is out. Apple has officially arrived in the enterprise. Once thought of as only for consumers, Apple has not so quietly created a $25 billion enterprise business — with no signs of slowing. If you want to join the Apple at work movement, but have questions yourself about security best practices or, more likely, need to alleviate the security concerns of your executives or information security team, we can help. Topics covered include: • How the Apple ecosystem is structured • How Apple management differs from Windows • What security features are unique to the Apple ecosystem • What to consider when adding new Apple devices • What Apple integrations are available to leverage what you already have
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Jamf
Published By: Rohde & Schwarz Cybersecurity     Published Date: Nov 30, 2017
Advanced persistent threats (APTs) are stealthier and more spiteful than ever. Sophisticated techniques are used to quietly breach organizations and deploy customized malware, which potentially remains undetected for months. Such attacks are caused by cybercriminals who target individual users with highly evasive tools. Legacy security approaches are bypassed to steal sensitive data from credit card details to intellectual property or government secrets. Traditional cybersecurity solutions, such as email spam filters, anti-virus software or firewalls are ineffective against advanced persistent threats. APTs can bypass such solutions and gain hold within a network to make organizations vulnerable to data breaches.
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it security, vendor, malware, analysis, service, malicious attacks, network, traffic
    
Rohde & Schwarz Cybersecurity
Published By: Rohde & Schwarz Cybersecurity     Published Date: Nov 28, 2017
Advanced persistent threats (APTs) are stealthier and more spiteful than ever. Sophisticated techniques are used to quietly breach organizations and deploy customized malware, which potentially remains undetected for months. Such attacks are caused by cybercriminals who target individual users with highly evasive tools. Legacy security approaches are bypassed to steal sensitive data from credit card details to intellectual property or government secrets. Traditional cybersecurity solutions, such as email spam filters, anti-virus software or firewalls are ineffective against advanced persistent threats. APTs can bypass such solutions and gain hold within a network to make organizations vulnerable to data breaches.
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it security, vendor, malware, analysis, service, malicious attacks, network, traffic
    
Rohde & Schwarz Cybersecurity
Published By: Pure Storage     Published Date: Nov 02, 2017
Health systems moving to integrated care business models are crying out for more active repositories to replace image archives as they move toward collaborative models of care. Yet traditional storage vendors continue to rely on three-year buying models and costly forklift migrations – and performance still does not meet clinician’s requirements. Pure Storage offers an alternative: a renewable, upgradable, scale-out, highperformance storage environment for images at a low TCO that ensures the latest technology and marketleading support and maintenance for 10+ years.
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health systems, pure storage, enterprise, performance, marketleading, vendors
    
Pure Storage
Published By: Oracle     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle
Published By: Oracle CX     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle CX
Published By: IBM     Published Date: Mar 30, 2017
To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize its value, and integrate it at a more granular level than ever before—focusing on the individual transaction level, rather than on general summary data. As data volumes continue to explode, clients must take advantage of a fully scalable information integration architecture that supports any type of data integration technique such as extract, transfer and load (ETL), data replication or data virtualization.
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data integration, data security, data optimization, data virtualization, database security
    
IBM
Published By: Comcast Business     Published Date: Aug 12, 2016
Here is the description of a client's piece of content. Download this white paper to learn about Network Security.
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Comcast Business
Published By: Dell EMC     Published Date: Nov 09, 2015
While the EDW plays an all-important role in the effort to leverage big data to drive business value, it is not without its challenges. In particular, the typical EDW is being pushed to its limits by the volume, velocity and variety of data. Download this whitepaper and see how the Dell™ | Cloudera™ | Syncsort™ Data Warehouse Optimization – ETL Offload Reference Architecture can help.
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Dell EMC
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