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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: Databricks     Published Date: Sep 13, 2018
Learn how to get started with Apache Spark™ Apache Spark™’s ability to speed analytic applications by orders of magnitude, its versatility, and ease of use are quickly winning the market. With Spark’s appeal to developers, end users, and integrators to solve complex data problems at scale, it is now the most active open source project with the big data community. With rapid adoption by enterprises across a wide range of industries, Spark has been deployed at massive scale, collectively processing multiple petabytes of data on clusters of over 8,000 nodes. If you are a developer or data scientist interested in big data, learn how Spark may be the tool for you. Databricks is happy to present this ebook as a practical introduction to Spark. Download this ebook to learn: • Spark’s basic architecture • Why Spark is a popular choice for data analytics • What tools and features are available • How to get started right away through interactive sample code
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Databricks
Published By: Couchbase     Published Date: Dec 04, 2014
Interactive applications have changed dramatically over the last 15 years. In the late ‘90s, large web companies emerged with dramatic increases in scale on many dimensions: · The number of concurrent users skyrocketed as applications increasingly became accessible · via the web (and later on mobile devices). · The amount of data collected and processed soared as it became easier and increasingly · valuable to capture all kinds of data. · The amount of unstructured or semi-structured data exploded and its use became integral · to the value and richness of applications. Dealing with these issues was more and more difficult using relational database technology. The key reason is that relational databases are essentially architected to run a single machine and use a rigid, schema-based approach to modeling data. Google, Amazon, Facebook, and LinkedIn were among the first companies to discover the serious limitations of relational database technology for supporting these new application requirements. Commercial alternatives didn’t exist, so they invented new data management approaches themselves. Their pioneering work generated tremendous interest because a growing number of companies faced similar problems. Open source NoSQL database projects formed to leverage the work of the pioneers, and commercial companies associated with these projects soon followed. Today, the use of NoSQL technology is rising rapidly among Internet companies and the enterprise. It’s increasingly considered a viable alternative to relational databases, especially as more organizations recognize that operating at scale is more effectively achieved running on clusters of standard, commodity servers, and a schema-less data model is often a better approach for handling the variety and type of data most often captured and processed today.
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database, nosql, data, data management, white paper, why nosql, couchbase
    
Couchbase
Published By: MarkLogic     Published Date: Jun 17, 2015
Modern enterprises face increasing pressure to deliver business value through technological innovation that leverages all available data. At the same time, those enterprises need to reduce expenses to stay competitive, deliver results faster to respond to market demands, use real-time analytics so users can make informed decisions, and develop new applications with enhanced developer productivity. All of these factors put big data at the top of the agenda. Unfortunately, the promise of big data has often failed to deliver. With the growing volumes of unstructured and multi-structured data flooding into our data centers, the relational databases that enterprises have relied on for the last 40-years are now too limiting and inflexible. New-generation NoSQL (“Not Only SQL”) databases have gained popularity because they are ideally suited to deal with the volume, velocity, and variety of data that businesses and governments handle today.
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data, data management, databse, marklogic, column store, wide column store, nosql
    
MarkLogic
Published By: TopQuadrant     Published Date: Jun 01, 2017
This paper presents a practitioner informed roadmap intended to assist enterprises in maturing their Enterprise Information Management (EIM) practices, with a specific focus on improving Reference Data Management (RDM). Reference data is found in every application used by an enterprise including back-end systems, front-end commerce applications, data exchange formats, and in outsourced, hosted systems, big data platforms, and data warehouses. It can easily be 20–50% of the tables in a data store. And the values are used throughout the transactional and mastered data sets to make the system internally consistent.
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TopQuadrant
Published By: MapR Technologies     Published Date: Mar 29, 2016
Add Big Data Technologies to Get More Value from Your Stack Taking advantage of big data starts with understanding how to optimize and augment your existing infrastructure. Relational databases have endured for a reason – they fit well with the types of data that organizations use to run their business. These types of data in business applications such as ERP, CRM, EPM, etc., are not fundamentally changing, which suggests that relational databases will continue to play a foundational role in enterprise architectures for the foreseeable future. One area where emerging technologies can complement relational database technologies is big data. With the rapidly growing volumes of data, along with the many new sources of data, organizations look for ways to relieve pressure from their existing systems. That’s where Hadoop and NoSQL come in.
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MapR Technologies
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: Trillium Software     Published Date: Mar 29, 2016
We are living in a new age in which your business success depends on access to trusted data across more systems and more users faster than ever before. However, your business information is often incomplete, filled with errors, and beyond the reach of people who need it. Whether you’re responsible for technology or information strategy, you need to enable your business to have real-time access to reliable information. Otherwise, your company will be left behind. Download Trillium’s whitepaper, “How to Succeed in the New Age of Data Quality”, to learn how you can create a successful data quality strategy.
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Trillium Software
Published By: Reltio     Published Date: Feb 12, 2016
Reltio delivers reliable data, relevant insights and recommended actions so companies can be right faster. Reltio Cloud combines data-driven applications with modern data management for better planning, customer engagement and risk management. IT streamlines data management for a complete view across all sources and formats at scale, while sales, marketing and compliance teams use data-driven applications to predict, collaborate and respond to opportunities in real-time. Companies of all sizes, including leading Fortune 500 companies in healthcare and life sciences, distribution and retail rely on Reltio.
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Reltio
Published By: IDERA     Published Date: Nov 07, 2017
Increasing dependence on enterprise-class applications has created a demand for centralizing organizational data using techniques such as Master Data Management (MDM). The development of a useful MDM environment is often complicated by a lack of shared organizational information and data modeling. In this paper, David Loshin explores some of the root causes that have influenced an organization’s development of a variety of data models, how that organic development has introduced potential inconsistency in structure and semantics, and how those inconsistencies complicate master data integration.
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IDERA
Published By: Attunity     Published Date: Sep 21, 2018
Apache NiFi is an easy to use, powerful, and reliable system to process and distribute data. It provides an end-to-end platform that can collect, curate, analyze, and act on data in real-time, on-premises, or in the cloud with a drag-and-drop visual interface. This book offers you an overview of NiFi along with common use cases to help you get started, debug, and manage your own dataflows.
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Attunity
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: Hewlett Packard Enterprise     Published Date: Jan 31, 2019
With the maturing of the all-flash array (AFA) market, the established market leaders in this space are turning their attention to other ways to differentiate themselves from their competition besides just product functionality. Consciously designing and driving a better customer experience (CX) is a strategy being pursued by many of these vendors.This white paper defines cloud-based predictive analytics and discusses evolving storage requirements that are driving their use and takes a look at how these platforms are being used to drive incremental value for public sector organizations in the areas of performance, availability, management, recovery, and information technology (IT) infrastructure planning.
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Hewlett Packard Enterprise
Published By: Uberflip     Published Date: Jan 03, 2019
No matter what industry you’re in or role you have, we all share a universal interest in trends. As marketers, we look to Google Trends to understand what keywords and search terms are most popular; we look for trending hashtags and conversations on social to inform the content we put out; and we put “Trends” sessions on our agendas at conferences because we know they’ll draw an audience. We’ve tapped into this almost universal desire to understand what the masses are doing.
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Uberflip
Published By: TIBCO Software EMEA     Published Date: Jan 17, 2019
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: What data virtualization is and its benefits When and when not to use data virtualization How to deploy data virtualization to benefit your business How to unlock the value of your SAP data
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virtualization, data, users, analytics, sql, application, access, directory, outcomes, costs
    
TIBCO Software EMEA
Published By: TIBCO Software EMEA     Published Date: Jan 17, 2019
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. TIBCO® Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: •?What data virtualization is and its benefits •?When and when not to use data virtualization •?How to deploy data virtualization to benefit your business
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virtualization, data, users, analytics, sql, application, access, directory, outcomes, costs
    
TIBCO Software EMEA
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: •? What data virtualization is and its benefits •? When and when not to use data virtualization •? How to deploy data virtualization to benefit your business •? How to unlock the value of your SAP data
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TIBCO Software GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Over the past decade, businesses have made tremendous investments in information capture, storage, and analysis. But having a wealth of data isn’t the same as having valuable information. TIBCO® Data Virtualization products and services provide a way to turn your data stores into valuable information that improves decision-making and propels experimentation and innovation. This paper explains: •? What data virtualization is and its benefits •? When and when not to use data virtualization •? How to deploy data virtualization to benefit your business
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TIBCO Software GmbH
Published By: Cisco Umbrella EMEA     Published Date: Feb 06, 2019
Organization: Arup Headquarters: London, England Users: 13,500 Objective: Global professional services firm, Arup, moved from Cisco Cloud Web Security (CWS) to Cisco Umbrella. By implementing a secure internet gateway in conjunction with nextgen endpoint security, Arup secured access to the internet wherever users go, reduced its exposure to malware and improved the ability to detect, respond and remediate when necessary. Solution: Cisco Umbrella, Cisco Umbrella Investigate & Cisco AMP for Endpoints Impact: • Substantially reduced administrative time • Accelerated response and remediation process • Increased performance of cloud applications • Reduced time to investigate
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Cisco Umbrella EMEA
Published By: Forcepoint     Published Date: Jan 03, 2019
Downtime Is Not an Option: High Availability Next Generation Firewall Access to applications, data, and resources on the Internet is mission-critical for every organization. Downtime is unacceptable. Security for that network must also be highly available and not cause performance degradation of the network. The increased workload of security devices as they analyze traffic and defend users from malicious attacks strains computing resources. The next generation of security solutions must build in high availability that can scale as the business changes. Download this whitepaper to find out how high availability is at the core of the Forcepoint NGFW (Next Generation Firewall).
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next generation firewall, ngfw, firewall, network security, branch security, distributed offices, data security, network security
    
Forcepoint
Published By: Forcepoint     Published Date: Jan 03, 2019
Transforming Cloud Connectivity & Security in Distributed Networks Today’s digital transformation initiatives frequently begin with moving applications and data to the cloud. But traditional networking and security infrastructure, such as backhauling data from remote locations to central offices over MPLS lines, can’t keep up. Fortunately, new approaches that also move connectivity and security to the cloud are rapidly overcoming these hurdles. Technologies such as direct-to-cloud SD-WAN and site-to-site VPNs dramatically cut the cost of connectivity. However, they put pressure on other parts of the organization to adopt new ways of defending each site against internet intruders, protecting the use of web content, and securing data stored in cloud apps. In this webcast, we’ll discuss a new, integrated approach to connectivity and security. View the webinar today!
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cloud connectivity, cloud security, distributed network, distributed offices, digital transformation, data security, cloud security, sd-wan, secure web gateway, firewall, branch security
    
Forcepoint
Published By: Cherwell Software     Published Date: Jan 28, 2019
As the company continued to expand, the decision was taken in 2011 to find a different package to support its international service desk operations across Europe, the US, India and Australia. Hollister launched a competitive tender to find the right solution for its needs and explored several options as part of the selection process. Mike and the team were immediately impressed by Cherwell, both by the working culture and the flexibility and ease of use of its solutions.
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Cherwell Software
Published By: Recorded Future     Published Date: Feb 13, 2019
There has been much speculation (not to mention exaggeration) over recent years about the fabled dark web. We’ve heard how this shady underworld is the refuge of the cybercriminal elite, and even nation-state threat actors. That this is their “Wolf’s Lair,” where they gather to plot the breaching of businesses, the downfall of governments, and the hacking of celebrities. As with much mainstream reporting of technology, and cyber threats in particular, there’s a grain of truth here. This less accessible and more volatile corner of the internet as we know it does offer those with less honourable motive a secret marketplace for their wares. The confusing terminology around what the dark web is or isn’t shouldn’t be a barrier to defenders realizing the anonymous communities, and how it can be used to produce valuable threat intelligence.
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Recorded Future
Published By: Recorded Future     Published Date: Feb 13, 2019
There has been much speculation (not to mention exaggeration) over recent years about the fabled dark web. We’ve heard how this shady underworld is the refuge of the cybercriminal elite, and even nation-state threat actors. That this is their “Wolf’s Lair,” where they gather to plot the breaching of businesses, the downfall of governments, and the hacking of celebrities. As with much mainstream reporting of technology, and cyber threats in particular, there’s a grain of truth here. This less accessible and more volatile corner of the internet as we know it does offer those with less honourable motive a secret marketplace for their wares. The confusing terminology around what the dark web is or isn’t shouldn’t be a barrier to defenders realizing the anonymous communities, and how it can be used to produce valuable threat intelligence.
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Recorded Future
Published By: Velaro     Published Date: Jul 09, 2014
Application downtime impacts everyone. This paper provides best practices for communicating application downtime to end-users in a manner that maintains - or can even improve- your organization's credibility and brand image. Learn what to do and what not to do in this informative white paper.
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Velaro
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