data management system

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Published By: Adobe     Published Date: Aug 02, 2017
With the advanced analytics capabilities in Adobe Analytics and the testing and targeting capacity of Adobe Target, it’s easier than ever to realise the potential of data-driven marketing. From creating a complete view of each customer across touchpoints and along their journey, to using predictive analytics, advanced anomaly detection and machine learning to understand behaviours and needs, you can use data to plan, create and optimise the experiences that matter to you and your customers.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Adobe
Published By: Amazon Web Services     Published Date: Apr 04, 2016
Amazon DynamoDB is a fully managed, NoSQL database service. Many workloads implemented using a traditional Relational Database Management System (RDBMS) are good candidates for a NoSQL database such as DynamoDB. This whitepaper details the process for identifying these candidate workloads and planning and executing a migration to DynamoDB.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Oct 09, 2017
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 analyse data that addresses many of these challenges. Data Lakes allow an organization to store all of their data, structured and unstructured, in one, centralized repository.
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cost effective, data storage, data collection, security, compliance, platform, big data, it resources
    
Amazon Web Services
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: 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: AMD     Published Date: Jul 20, 2012
Business agility can be defined as a company's ability to respond to changes in business conditions quickly enough to benefit from them.
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amd, dell, microsoft, it administrators, virtualization, agile business execution, virtual server performance, data migration, data management, data center, scalability, system management, provisioning, configuration, monitoring, alerting, poweredge, hyper v, amd opteron, networking
    
AMD
Published By: Avalere     Published Date: Apr 02, 2007
Sensitive documents, files and intellectual property are extracted from a central repository such as a database, records management system, or document management system to complete daily tasks, however, extracting this information can lead to a security breach.  Avalere provides the tools you need to control the proliferation of sensitive information throughout your organization.
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security, security management, database admin, dba, records management, database management, document management, data security, document security, avalere, information management
    
Avalere
Published By: AWS     Published Date: Nov 02, 2017
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. A data lake is an architectural approach that allows you to store massive amounts of data into a central location, so it’s readily available to be categorized, processed, analyzed, and consumed by diverse groups within an organization. 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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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: BambooHR - HR Software     Published Date: May 28, 2013
HR’s role varies from cheerleader to counselor to Chief Culture Officer- we get it! Tracking employee data in spreadsheets is a headache you don’t have time for, we make it simple- to free you up for more meaningful work. Watch the webinar!
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hris, human resources, employee data, talent management, pto, time off management, hr software, employee management, hr systems, vacation tracking, employee retention, employee policy, employee calendars, human capital, employee data, employee records, benefit tracking, online documents, personnel files, benefit enrollment
    
BambooHR - HR Software
Published By: Basho     Published Date: Nov 25, 2015
The landscape of Scalable Operational and Analytical Systems is changing and disrupting the norm of using relational databases for all workloads. With the growing need to process and analyze Big Data at Scale, the demand for alternative strategies has grown and has given rise to the emergence of NoSQL databases for scalable processing. Mike Ferguson, Managing Director of Intelligent Business Strategies, is an independent IT Analyst who specializes in Big Data, BI/Analytics, Data Management and Enterprise Business Integration. In this whitepaper he will discuss the movement towards NoSQL databases for scalable operational and analytical systems, what’s driving Big Data analytics from Hadoop to the emergence of Apache Spark, the value of operational analytics and the importance of in-memory processing, and why use Apache Spark as your in-memory analytical platform for operational analytics.
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Basho
Published By: BigCommerce     Published Date: Oct 16, 2018
Whether your company has been selling online for 20 minutes or 20 years, you are undoubtedly familiar with the PCI DSS (Payment Card Industry Data Security Standard). It requires merchants to create security management policies and procedures for safeguarding customers’ payment data. Originally created by Visa, MasterCard, Discover, and American Express in 2004, the PCI DSS has evolved over the years to ensure online sellers have the systems and processes in place to prevent a data breach.
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BigCommerce
Published By: Box     Published Date: Jun 22, 2018
With GDPR looming large on the horizon in May 2018 and beyond, there are a number of myths and misunderstandings circulating around the upcoming changes to compliance and data protection. In this expert e-guide, we explore how to maintain compliance for your critical content in the cloud. Uncover vendor-agnostic compliance tips from Box compliance president Crispen Maung for your content management system, and delve into topics, like: • GDPR strategies for cloud ECM • Cultural changes for upcoming compliance regulations • Projected fines associated with GDPR • And more
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Box
Published By: BubblewrApp     Published Date: Jan 20, 2015
The Company (name withheld) provides data center management and monitoring services to a number of enterprises across the United States. The Company maintains multiple network operations centers (NOCs) across the country where engineers monitor customer networks and application uptimes around the clock. The Company evaluated BubblewrApp’s Secure Access Service and was able to enable access to systems within customer data centers in 15 minutes. In addition, the Company was able to: a. Do away with site-to-site VPNs – no more reliance on jump hosts in the NOC b. Build out monitoring systems in the NOC without worry about possible IP subnet conflicts c. Enable NOC engineers to access allowed systems in customer networks from any device
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systems management, customer data centers, network operation centers, secure access service, enterprise applications
    
BubblewrApp
Published By: CA Mainframe     Published Date: Sep 12, 2008
Increasing infrastructure complexity has led to unprecedented growth in enterprise systems management data on all systems, including the mainframe and it is becoming more complex to manage SMF data.  Download this Technology Brief to learn how to address the complexity of managing SMF data.
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smf, service management, data management, infrastructure, systems management, ca mainframe, mainframe
    
CA Mainframe
Published By: CA Technologies     Published Date: Apr 06, 2017
Privileged identity, accounts and credentials are core, critical assets for enterprises that must be highly protected through a combination of technology and processes which are enabled by privileged access management. Delivering that protection is instrumental in breaking the data breach kill chain, helping to prevent attacks and mitigating the impact of those that do occur.
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data breach, it security, malicious spyware, security management, cloud security, system protection
    
CA Technologies
Published By: CA Technologies     Published Date: Jun 01, 2018
Challenge Businesses today must reduce the risk of security breaches to protect the valuable data within their organizations. At the same time, IT auditors are increasingly enforcing ever more stringent requirements on the business. The bottom line is that privileged accounts and privileged access are being targeted by hackers as a new attack surface and focused on by auditors who are insisting on greater controls around privileged accounts. Opportunity The right privileged access management solution provides comprehensive protection for your missioncritical servers with powerful, fine-grained controls over operating system-level access and privileged user actions. Capable of enforcing access controls on powerful native Superuser accounts—like the UNIX® and Linux® root and Microsoft® Windows® administrator—this system-level, host-based privileged access management solution controls, monitors and audits privileged user activity, improving security and simplifying audit and compliance. B
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CA Technologies
Published By: CA Technologies EMEA     Published Date: Aug 07, 2017
Continuous Delivery has become somewhat of a buzzword in the software development world. As such, numerous vendors promise that they can make it a reality, offering their tools as a remedy to the traditional causes of project delays and failure. They suggest that by adopting them, organizations can continually innovate and deliver quality software on time, and within budget.
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data management, data system, enterprise management, continuous testing, testing effort, service virtualisation, delivery ecosystem
    
CA Technologies EMEA
Published By: Cardinal Health     Published Date: Dec 28, 2017
Data driven tools and analytics can uncover a wealth of new savings opportunities for surgery centers and surgical hospitals. And you usually don’t have to search far to uncover the savings. You can immediately tap into one source of data to find these opportunities. Every Electronic Health Record (EHR) and Practice Management System offers a set of standard reports. Stored inside are at least five ways to save. Download this whitepaper to learn about these five opportunities
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Cardinal Health
Published By: CDW     Published Date: Aug 07, 2013
In the spring of 2012, IBM® introduced its PureSystems family of intelligent, integrated, powerful and flexible computing systems. At that time, IBM committed to a continuing process of improvement and additions to these systems as technology and innovation evolved.
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cdw, ibm, pureflex, datacenter, datacenter management, puresystems, security
    
CDW
Published By: CDW     Published Date: Aug 04, 2016
This evolving technology promises faster deployment, lower costs and improved IT staff productivity. Hyperconverged data centers were once a niche technology that mostly appealed to organizations with specialized needs, such as streamlining the management of small and branch offices. Today, many enterprises are now recognizing the value of transitioning their conventional data centers into hyperconverged facilities. Gartner reports that by 2018 hyperconverged integrated systems will represent as much as 35 percent of total converged infrastructure shipments by revenue, up from a low single-digit base in 2015. Download this white paper to learn more!
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technology, data, best practices, data center, management, productivity, business technology
    
CDW
Published By: Cisco     Published Date: Dec 15, 2010
This document discusses the requirements for job scheduling software in complex IT environments with multiple interconnected enterprise-class applications that touch every aspect of the organization.
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cisco, enterprise-class job scheduling, delivery, business processes, automation software, data center, systems management, backup and recovery, network management, systems security, custom scripting
    
Cisco
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