data management

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Published By: SAS     Published Date: Oct 18, 2017
Want to get even more value from your Hadoop implementation? Hadoop is an open-source software framework for running applications on large clusters of commodity hardware. As a result, it delivers fast processing and the ability to handle virtually limitless concurrent tasks and jobs, making it a remarkably low-cost complement to a traditional enterprise data infrastructure. This white paper presents the SAS portfolio of solutions that enable you to bring the full power of business analytics to Hadoop. These solutions span the entire analytic life cycle – from data management to data exploration, model development and deployment.
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SAS
Published By: AWS     Published Date: Nov 08, 2018
In this webinar, you’ll learn how Reltio and IQVIA provide holistic data management solutions for traditional pharma, as well as for emerging biotech and consumer health companies, on Amazon Web Services (AWS).
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AWS
Published By: IBM     Published Date: Sep 22, 2011
Five questions business leaders must ask
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ibm, data management, dba, productivity, infrastructure, development, productivity
    
IBM
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: Akamai Technologies     Published Date: Jul 02, 2019
In today’s markets, customer identities and the personal data associated with them are among the most critical and valuable assets of any enterprise. Managing these digital identities — from first registration and login to the later stages of the customer relationship — and extracting business value from the associated data are complex tasks, commonly referred to as customer identity and access management (CIAM). When implementing a system to collect, manage, and utilize digital identity and customer data, companies have two basic choices: in-house development or buying a dedicated solution from a vendor specialized in CIAM (i.e., build vs. buy). Read this white paper for an in-depth analysis of CIAM implementation options, including: ? Must-haves for a successful, enterprise-grade CIAM system ? Pros and cons of implementation options, ranging from in-house software development to commercial off-the-shelf solutions ? A real-world case study that illustrates the ROI of an effective CI
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Akamai Technologies
Published By: Oracle     Published Date: Apr 05, 2018
Effective collaboration between marketing and IT continues to be crucially important. As we enter an era where our business agility will be defined by the flexibility of operation of our marketing tools, technology in marketing is a key focus. Read ‘The guide to building your marketing technology stack’ to learn more about how technology can enhance every area of marketing: • Rediscover the technology in marketing landscape • Explore the latest in marketing automation • See how content and social fit into your overall strategy Oracle is a global technology company who provide a range of services, including the Oracle, the ‘industry’s broadest and most integrated public cloud’ which lowers costs and reduces IT complexity. They also offer IT security service, database, Java services, Enterprise Management, consulting and support services and more. Oracle have more than 420,000 customers worldwide and are widely revered throughout the computing industry.
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Oracle
Published By: Siperian     Published Date: Jan 24, 2007
Discover the essential steps to delivering a solid business case for the right customer-centric MDM architecture and achieve maximum ROI.
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roi, data management, return on investment, master data management, mdm, data integration, data quality, siperian
    
Siperian
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: 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: 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: Dell Storage     Published Date: Oct 17, 2011
Private cloud computing advances the delivery of efficient, agile IT infrastructure allowing enterprises to plan incremental enhancements to existing infrastructure, and the right SAN.
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technology, dell, san foundation, cloud deployment, data center, data management
    
Dell Storage
Published By: Dell Storage     Published Date: Nov 02, 2011
Private cloud computing advances the delivery of efficient, agile IT infrastructure allowing enterprises to plan incremental enhancements to existing infrastructure, and the right SAN.
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technology, dell, san foundation, cloud deployment, data center, data management
    
Dell Storage
Published By: Dell Storage     Published Date: Nov 08, 2011
Private cloud computing advances the delivery of efficient infrastructure allowing enterprises to plan incremental enhancements to existing infrastructure, and the right SAN.
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technology, dell, san foundation, cloud deployment, data center, data management
    
Dell Storage
Published By: Clearswift     Published Date: Jun 09, 2008
In this white paper Clearswift address the question "Is it possible to build a leak free enterprise?" In addition to a Gartner research note on "Understand Data Leakage" we answer the question by describing 15 of the most common mistakes of web and email security and the associated risks and solutions.
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data protection, clearswift, data management
    
Clearswift
Published By: Cisco     Published Date: Jun 22, 2015
This white paper shows how Microsoft and Cisco have come together and developed a best-of-breed private cloud ecosystem that combines Cisco’s compute and network expertise with Microsoft’s single operating system, data management, and virtualisation capabilities.
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private cloud, cisco, microsoft, cisco and microsoft, data center, data management
    
Cisco
Published By: Juniper Networks     Published Date: Aug 10, 2017
The digital economy is transforming the financial services sector. The pace of innovation is accelerating, customers have higher expectations than ever, and new competitors are emerging from nontraditional markets. At the same time, financial services has long been a favorite target of cyber attackers, and despite firms’ best efforts, cybersecurity threats are rising and attacks are more successful than ever. Financial services firms need a more effective, adaptable approach to detecting and stopping cyberthreats.
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account security, data management, network security, secure systems, application security, network performance, network diagnostics
    
Juniper Networks
Published By: CDW     Published Date: Jan 15, 2016
A growing number of organizations are realizing the benefits of mobile devices, including increased productivity, enhanced efficiency and speedier response times. Yet while the use of mobile devices typically leads to lower costs and additional revenue opportunities, it also brings challenges associated with device and application procurement, data connections, service costs, content management and — most important — security.
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cdw, effective mobile policy, mobile devices, revenue opportunities, application procurement
    
CDW
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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Amazon Web Services
Published By: Zynapse     Published Date: Sep 10, 2010
A whitepaper by Ventana Research describing the role and importance of partnerships between business and IT in MDM strategy
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zynapse, erp projects, data information, data management, governance, mdm, master data management, odm
    
Zynapse
Published By: MemSQL     Published Date: Nov 15, 2017
FREE O'REILLY EBOOK: BUILDING REAL-TIME DATA PIPELINES Unifying Applications and Analytics with In-Memory Architectures You'll Learn: - How to use Apache Kafka and Spark to build real-time data pipelines - How to use in-memory database management systems for real-time analytics - Top architectures for transitioning from data silos to real-time processing - Steps for getting to real-time operational systems - Considerations for choosing the best deployment option
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hardware trends, data pipelines, database management, architectures, technology
    
MemSQL
Published By: IBM     Published Date: Jun 20, 2014
Data can provide enormous business value if it is properly identified, analyzed, stored and managed in accordance with its changing value over the course of its lifecycle.
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ibm, big data, data storage, data analytics, data management, information management, information economics
    
IBM
Published By: HP and Intel® Xeon® processors     Published Date: Oct 30, 2012
Server virtualization initiatives are reshaping data center traffic flows, increasing bandwidth densities at the server edge and pushing conventional data center networks to the brink. This white paper reviews the impact of server virtualization.
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virtualization, data management, it infrastructure, cloud computing
    
HP and Intel® Xeon® processors
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