data managing

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Published By: Tamr, Inc.     Published Date: Feb 08, 2019
Traditional data management practices, such as master data management (MDM), have been around for decades – as have the approaches vendors take in developing these capabilities. And they were well-equipped for the problem at hand: managing data at modest size and complexity. However, as enterprises mature and start to view their data assets as a source of competitive advantage, new methods to managing enterprise data become desirable. Enterprises now need approaches to data management that can solve critical issues around speed and scale in an increasingly complex data environment. This paper explores how data curation technology can be used to solve data mastering challenges at scale.
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Tamr, Inc.
Published By: Cambridge Semantics     Published Date: Mar 13, 2015
As the quantity and diversity of relevant data grows within and outside the enterprise, how can IT easily deploy secure governed solutions that allow business users to identify, extract, link together and derive value from the right data at the right time, at big data scale, while keeping up with ever changing business needs? Smart Enterprise Data Management (Smart EDM) is new, sensible paradigm for managing enterprise data. Anzo Smart Data solutions allow IT departments and their business users to quickly and flexibly access all of their diverse data. Based upon graph data models and Semantic data standards, Anzo enables users to easily perform advanced data management and analytics through the lens of their business at a fraction of the time and cost of traditional approaches, while adhering to the governance and security required by enterprise IT groups. Download this whitepaper to learn more.
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enterprise data management, data governance, data integration, cambridge semantics
    
Cambridge Semantics
Published By: Cambridge Semantics     Published Date: May 11, 2016
With the explosive growth of Big Data, IT professionals find their time and resources squeezed between managing increasingly large and diverse siloed data stores and increased user demands for timely, accurate data. The graph-based ANZO Smart Data Manager is built to relieve these burdens by automating the process of managing, cataloging and governing data at enterprise scale and security. Anzo Smart Data Manager allows companies to truly understand their data ecosystems and leverage the metadata within it.
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Cambridge Semantics
Published By: Splice Machine     Published Date: Nov 16, 2014
Organizations are now looking for ways to handle exploding data volumes while reducing costs and maintaining performance. Managing large volumes and achieving high levels of concurrency on traditional scale up databases, such as Oracle, often means purchasing expensive scale-up hardware. In this white paper, learn about the different options and benefits of scale out solutions for Oracle database users.
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splice machine, oracle, oracle database, database, hadoop, nosql, white paper, data, data management, dataversity
    
Splice Machine
Published By: AT&T     Published Date: Sep 11, 2014
The age of Big Data is upon us. Storage costs are going down, and data analytics is becoming more capable and more user-friendly. Even your auto mechanic will be storing a petabyte of data soon. Big Data will give businesses new insights and help improve operations. With these new tools come questions about how to use them. But your mechanic knows more about fixing a transmission than developing a Hadoop cluster, and similar concerns hold true for larger enterprises. Businesses everywhere are looking for guidance.
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AT&T
Published By: AnalytixDS     Published Date: Feb 28, 2015
With future business intelligence solutions clearly evolving from data that comes from highly efficient and well behaved systems, to data that comes from the extended enterprise where data is not necessarily so well structured and behaved - Organizations are forced into a more collaborative mode of operation with their core infrastructure being adapted from the consumer space, and to the extent possible, conformed to their existing repositories. This whitepaper attempts to address various challenges consumers face while managing enormous data sets within the context of this complex scenario. Further, we’ll try to answer the question: Is Big Data Governance really that different from traditional data governance initiatives? Finally, we’ll see how AnalytiX™ Mapping Manager™ can help organizations accelerate the development and deployment of a successful Big Data/ Business Intelligence platform and accelerate delivery of all sorts of data – structured, semi-structured as well as unstruc
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big data, big data governance, data governance, analytixds
    
AnalytixDS
Published By: Experian     Published Date: May 17, 2016
Every year, Experian Data Quality conducts a study to look at the global trends in data quality. This year, research findings reveal how data practitioners are leveraging and managing data to generate actionable insight, and how proper data management is becoming an organization-wide imperative. This study polled more than 1,400 people across eight countries globally from a variety of roles and departments. Respondents were chosen based on their visibility into their orgazation's customer data management practices. Read through our research report to learn: - The changes in channel usage over the last 12 months - Expected changes in big data and data management initiatives - Multi-industry benchmarks, comparisons, and challenges in data quality - And more! Our annual global benchmark report takes a close look at the data quality and data management initiatives driving today's businesses. See where you line up and where you can improve.
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Experian
Published By: Reltio     Published Date: May 21, 2018
Effective May 25, 2018, General Data Protection Regulation (GDPR) will represent the most rigorous data protection regulation ever. Complying is not optional, and the penalties are very high. As companies scurry for total compliance, it makes sense to pause, assess, and use this opportunity not only for compliance but for managing customer data efficiently and gainfully. Reltio proposes ten simple steps to ensure your data management strategy is ready for GDPR, not just for assured compliance but going beyond and enabling better customer experiences and building business competence.
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Reltio
Published By: CloverETL     Published Date: Nov 24, 2017
The volume of data is increasing by 40% per year (Source: IDC). In addition, the structure and quality of data differs vastly with a growing number of data sources. More agile ways of working with data are required. This whitepaper discusses the vast options available for managing and storing data using data architectures, and offers use cases for each architecture. Furthermore, the whitepaper explores the benefits, drawbacks and challenges of each data architecture and commonly used practices for building these architectures.
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CloverETL
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: VoltDB     Published Date: Nov 09, 2015
The consumerization of IT requires an evolution in the way applications are designed and developed. This white paper looks at the requirements of the Fast Data workflow and proposes solution patterns for the most common problems software development organizations must resolve to build applications – and apps – capable of managing fast and big data.
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VoltDB
Published By: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
Discover how HPE is responding to the massive growth in enterprise data with intelligent storage. Data helps enterprises find new ways to reach and serve customers to grow profitability, but only when it is available at the right place and the right time. The growing complexity of managing and securing data prevents businesses from gaining its full value. Hewlett Packard Enterprise delivers the world’s most intelligent storage for the hybrid cloud world by providing storage that is driven by artificial intelligence, built for the cloud, and delivered as a service.
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Hewlett Packard Enterprise
Published By: Ounce Labs, an IBM Company     Published Date: Jul 08, 2009
The Business Case for Data Protection, conducted by Ponemon Institute and sponsored by Ounce Labs, is the first study to determine what senior executives think about the value proposition of corporate data protection efforts within their organizations. In times of shrinking budgets, it is important for those individuals charged with managing a data protection program to understand how key decision makers in organizations perceive the importance of safeguarding sensitive and confidential information.
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ounce labs, it securitym it risk, software applications, ciso, pci dss, hipaa, glba, data security, source code vulnerabilities, source code analysis, it security, cryptography, business intelligence, data integration
    
Ounce Labs, an IBM Company
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
Very little data is available on how effectively enterprises are managing private cloud deployments in the real world. Are they doing so efficiently, or are they facing challenges in areas such as performance, TCO and capacity? Hewlett Packard Enterprise commissioned 451 Research to explore these issues through a survey of IT decision-makers and data from the Cloud Price Index.
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Hewlett Packard Enterprise
Published By: Dell EMC     Published Date: May 23, 2017
Digital information has quickly become the lifeblood of business success, enabling firms to become more operationally efficient and to better serve their customers. As companies seek to harness their data in new ways, the infrastructure that houses that data can falter under the strain. In response, new innovations have emerged to help address the concerns of managing and protecting these increasingly important data capacities. While some vendors focus innovation development on software alone and allow the hardware to remain commodity, Dell Technologies is delivering some impressive hardware innovation with Isilon’s next generation hardware to complement its software’s disruptive capabilities.
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Dell EMC
Published By: Dell EMC     Published Date: Nov 03, 2016
Small and midsize businesses grapple with the same massive data growth that’s challenging larger organizations, yet they have fewer resources to devote to managing the deluge. A new option from Dell EMC, powered by an Intel® Xeon® processor, is finally giving SMBs access to storage area network technology that’s affordable and easy to manage. Read this white paper to learn more now, including what this technology can offer in terms of benefits, performance, and more.
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storage, server-based, san, vmware, raid, data integration
    
Dell EMC
Published By: Cisco     Published Date: Dec 08, 2015
The Time for the Hybrid WAN IT has gone through a significant evolution over the past decade. Virtualization has changed the entire face of the data center, the network edge has become predominantly wireless and consumer devices reign supreme. However, one of the few areas of IT that has yet to evolve is the corporate wide area network (WAN). Managing the WAN is something network managers have always struggled with because WAN speeds are typically an order of magnitude, or more, slower than local area networks (LANs).
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cisco, canada, branch infrastructure, hybrid wan, wide area network, networking, it management, wireless, data management
    
Cisco
Published By: Cisco     Published Date: Jun 21, 2016
IT has gone through a significant evolution over the past decade. Virtualization has changed the entire face of the data center, the network edge has become predominantly wireless and consumer devices reign supreme. However, one of the few areas of IT that has yet to evolve is the corporate wide area network (WAN). Managing the WAN is something network managers have always struggled with because WAN speeds are typically an order of magnitude, or more, slower than local area networks (LANs).
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Cisco
Published By: F5 Networks Inc     Published Date: Dec 08, 2017
The world set a new record for data breaches in 2016, with more than 4.2 billion exposed records, shattering the former record of 1.1 billion in 2013. But if 2016 was bad, 2017 is shaping up to be even worse. In the first six months of 2017, there were 2,227 breaches reported, exposing over 6 billion records and putting untold numbers of accounts at risk. Out of all these stolen records, a large majority include usernames and passwords, which are leveraged in 81 percent of hacking-related breaches according to the 2017 Verizon Data Breach Investigations Report. Faced with ever-growing concerns over application and data integrity, organizations must prioritize identity protection in their security strategies. In fact, safeguarding the identity of users and managing the level of access they have to critical business applications could be the biggest security challenge organizations face in 2017.
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data breach, credential stuffing, system security, security
    
F5 Networks Inc
Published By: SAS     Published Date: Jan 17, 2018
Executives, managers and information workers have all come to respect the role that data management plays in the success of their organizations. But organizations don’t always do a good job of communicating and encouraging better ways of managing information. In this e-book you will find easy to digest resources on the value and importance of data preparation, data governance, data integration, data quality, data federation, streaming data, and master data management.
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SAS
Published By: Lenovo and Intel®     Published Date: Apr 28, 2017
The Real Impact of Body Cameras: Unprecedented Secure Storage Demand Body cameras have become a critical component of campus and community policing — they protect everybody’s interests. However, gathering, securing, storing, and managing the terabytes of content created on a monthly basis can be daunting even for the most sophisticated IT teams. In this eBook, we provide a comprehensive look at this growing challenge and how you can get in front of it! Read this eBook now.
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lenovo, higher education, body cameras, campus policing, campus security, data managing, securing data, securing content
    
Lenovo and Intel®
Published By: Oracle CX     Published Date: Oct 19, 2017
In today’s IT infrastructure, data security can no longer be treated as an afterthought, because billions of dollars are lost each year to computer intrusions and data exposures. This issue is compounded by the aggressive build-out for cloud computing. Big data and machine learning applications that perform tasks such as fraud and intrusion detection, trend detection, and click-stream and social media analysis all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Companies increasingly need to drive the speed of business up, and organizations need to support their customers with real-time data. The task of managing sensitive information while capturing, analyzing, and acting upon massive volumes of data every hour of every day has become critical. These challenges have dramatically changed the way that IT systems are architected, provisioned, and run compared to the past few decades. Most companies
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Oracle CX
Published By: HPE     Published Date: Dec 05, 2014
Data is the lifeblood of your business. To compete in today’s global information economy, you need to keep your IT systems up and running and provide consistent and reliable access to business-critical applications at all times. Application downtime or slow performance can mean diminished employee productivity, dissatisfied customers, and lost revenue. But keeping pace with change and managing growth can be a real challenge. Increasing numbers of applications, evolving technology, and rapid data growth are pushing older IT infrastructure to the limit—demanding more storage and bandwidth, greater security and agility, and higher availability than ever before.
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platform, technology, lync, server, sql, flex-bundles, proliant, processors, server experience, customers, configuration, storage, networking, data management
    
HPE
Published By: HPE     Published Date: Dec 05, 2014
Data is the lifeblood of your business. To compete in today’s global information economy, you need to keep your IT systems up and running and provide consistent and reliable access to business-critical applications at all times. Application downtime or slow performance can mean diminished employee productivity, dissatisfied customers, and lost revenue. But keeping pace with change and managing growth can be a real challenge. Increasing numbers of applications, evolving technology, and rapid data growth are pushing older IT infrastructure to the limit—demanding more storage and bandwidth, greater security and agility, and higher availability than ever before.
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platform, technology, lync, server, sql, flex-bundles, proliant, processors, server experience, customers, configuration, storage, networking, data management
    
HPE
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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