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Published By: Zoomdata     Published Date: Apr 11, 2018
How do you imagine data? If you’re thinking about it in terms of uniform records and databases, it’s time to make a brain update. Back in the day, analytical engines were limited, so our perception of what could be considered data was, too. Today, the big data renaissance has begun, and actually, more of the data exists outside of databases than inside them, plus, EVERYTHING is data. We’re going to help you discover how business intelligence and data sources of today have changed, and as a result, so has our approach to analyzing data. An eBook on this very topic is waiting for you—all it takes is the click of a button.
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Zoomdata
Published By: Dell Boomi     Published Date: May 29, 2013
Application and data integration doesn't have to be slow and expensive. New cloud-based integration platforms dramatically speed results and lower costs, as outlined in this new report by Bloor Research.
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Dell Boomi
Published By: Dell Boomi     Published Date: May 28, 2013
Application and data integration doesn't have to be slow and expensive. New cloud-based integration platforms dramatically speed results and lower costs, as outlined in this new report by Bloor Research.
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Dell Boomi
Published By: DATAVERSITY     Published Date: Jul 06, 2015
The growth of NoSQL data storage solutions have revolutionized the way enterprises are dealing with their data. The older, relational platforms are still being utilized by most organizations, while the implementation of varying NoSQL platforms including Key-Value, Wide Column, Document, Graph, and Hybrid data stores are increasing at faster rates than ever seen before. Such implementations are causing enterprises to revise their Data Management procedures across-the-board from governance to analytics, metadata management to software development, data modeling to regulation and compliance. The time-honored techniques for data modeling are being rewritten, reworked, and modified in a multitude of different ways, often wholly dependent on the NoSQL platform under development. The research report analyzes a 2015 DATAVERSITY® survey titled “Modeling NoSQL.” The survey examined a number of crucial issues within the NoSQL world today, with focus on data modeling in particular.
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DATAVERSITY
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: VoltDB     Published Date: Feb 12, 2016
The need for fast data applications is growing rapidly, driven by the IoT, the surge in machine-to-machine (M2M) data, global mobile device proliferation, and the monetization of SaaS platforms. So how do you combine real-time, streaming analytics with real-time decisions in an architecture that’s reliable, scalable, and simple? In this report, Ryan Betts and John Hugg from VoltDB examine ways to develop apps for fast data, using pre-defined patterns. These patterns are general enough to suit both the do-it-yourself, hybrid batch/streaming approach, as well as the simpler, proven in-memory approach available with certain fast database offerings.
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VoltDB
Published By: Reltio     Published Date: Jan 20, 2017
If you invested in master data management (MDM), you are part of an elite association of those who have been able to afford the time, effort and resources to deploy what has characteristically been a tool, and discipline reserved for only the largest enterprises. Feedback from top industry analysts and companies that transitioned from legacy MDM to modern data management platforms, led to the compilation of a list of 10 warning signs you can use as a handy guide. If one or more of these signs get your attention, it warrants a serious conversation with your current provider about these issues, and how they compare to modern offerings available today.
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Reltio
Published By: Looker     Published Date: Mar 15, 2016
Data centralization merges different data streams into a common source through unified variables. This process can provide context to overly-broad metrics and enable cross-platform analytics to guide better business decisions. Investments in analytics tools are now paying back a 13.01:1 return on investment (ROI), with increased returns when these tools integrate with three or more data sour- ces. While the perks of centralization are obvious in theory, the quantity and variety of data available in today’s landscape make this difficult to achieve. This report provides a roadmap for how to connect systems, data stores, and institutions (both technological and human). Learn: • How data centralization enables better analytics • How to redefine data as a vehicle for change • How the right BI tool eliminates the data analyst bottleneck • How to define single sources of truth for your organization • How to build a data-driven (not just data-rich) organization
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Looker
Published By: WhereScape     Published Date: Mar 16, 2016
Industry expert Wayne Eckerson provides an overview of the emerging data warehouse automation market and outlines the value of using automation tools for developing data warehouses, data marts, analytical environments and big data platforms. Eckerson details WhereScape’s architecture—which enables a data-driven approach to automation. Eckerson also discusses how agility and automation together encourage iterative development and closer collaboration between business and IT.
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WhereScape
Published By: Snowflake Computing     Published Date: Feb 27, 2017
Snowflake’s cloud-built data warehouse delivers the performance, concurrency, simplicity and affordability needed to store and analyze all of an organization’s data in one location. Snowflake combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud. Find out more at snowflake.net.
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Snowflake Computing
Published By: Datameer     Published Date: Oct 10, 2017
Most data analytics leaders recognize the need to modernize their data analytics platforms. The question is how.
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Datameer
Published By: SAS     Published Date: Apr 02, 2014
Featuring use cases of various big data strategies, this paper explores several approaches and techniques that could be right for your enterprise, including using emerging big data platforms and creating new technology for problems not addressed by current big data platforms. It also covers moving more computation to traditional databases and implementing data virtualization.
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data, data management, big data, white paper, sas
    
SAS
Published By: Oracle     Published Date: Feb 28, 2018
So, while the advertising industry is in the midst of profound change, it’s hard to be certain about the form that it will take in future. There’s good reason to be optimistic, rather than pessimistic. Firstly, as we saw earlier, the proliferation of digital platforms means that there are now more canvases for creativity than ever before. And secondly, recent discoveries in psychology and behavioural science have highlighted how human decision making – in any context – is often unconscious or non-rational. As a result, the range of problems where creative communication can offer a solution is wider than ever previously realised.
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Oracle
Published By: Google     Published Date: Apr 30, 2018
"Cloud platforms are rewriting the way that companies work, serving as a vital foundation for digital transformation. Companies should brace for challenges that will need to be met as they transition from in-house systems to hybrid-cloud, multi-cloud, and public-cloud environments. Learn how an open-source strategy and consistent governance will help your company use multi-clouds to compete in the digital world. Download the Harvard Business Review Analytic Services report and find out more."
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Google
Published By: Groove     Published Date: May 16, 2018
From equipping them with accurate data to efficiency-driving tools to impactful training, you want to find the best systems to help your reps soar. As the market floods with technology (and a lot of lofty claims), it may be tough to know what you actually need and where to start your research process to help — not hinder — your team. You’ve probably heard a lot of buzz about sales engagement platforms, and there are quite a few to choose from. But what is it? What does it do? In sales, time is money. If you find that your team’s time is tied up in manual or administrative tasks, consider looking into a sales engagement platform. The right sales engagement platform will power outreach quality and quantity, ultimately helping your team crush their goals and boost the bottom line. In this guide, we’ll help you think through what features you should look for and what questions to ask as you begin to compare your options.
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Groove
Published By: Genesys     Published Date: Feb 27, 2018
Everyone says they’re “in the cloud,” but most technology leaders would agree that not all clouds are created equal. When evaluating a cloud contact center solution for your business, it’s important to understand the difference between a true Cloud 2.0 application and traditional software, including which features to look for and why those features are important. Download this eBook and learn: • How a true Cloud 2.0 model is built to provide levels of reliability, scalability, flexibility and security that far exceed those of previous generations • The benefits of utilizing a platform built on microservices architecture • How to take your business to the next level with a built to scale cloud contact center platform
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cloud contact center, ebook, cloud 2.0 model, microservices architecture
    
Genesys
Published By: Genesys     Published Date: Feb 27, 2018
With all the options in the rapidly changing marketplace for cloud-based contact centers, it’s a challenge to find the right solution for your business. Easily compare the leading contact center solution vendors in the Ovum Decision Matrix: Selecting a Multichannel Cloud Contact Center Solution, 2017-18, based on their ability to offer full voice call routing and multichannel customer service in the cloud. Learn why Genesys has been positioned as a leader who has solutions for businesses of all sizes and in all industries around the world. Read the Ovum Decision Matrix to: • Compare cloud contact center solutions based on the strength of their technology platforms • Contrast vendors on their ability to handle multichannel customer interactions and connect with customer and company data through analytics • Understand each vendor’s market impact and why Genesys was chosen as a leader
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ovum, multichannel cloud contact center, contact center, decision matrix
    
Genesys
Published By: Datastax     Published Date: May 14, 2018
" For any business that wants to successfully compete in today’s digital economy, it is not a question of if but rather how much of their business will be done with cloud applications. A cloud application is one with many endpoints including browsers, mobile devices, and/or machines that are geographically distributed. The application is intensely transactional (high velocity reads and/or writes), always available, and instantaneously responsive no matter the number of users or machines using the application. Download this free white paper and explore how DataStax customers are delivering real-time value at epic scale with their cloud applications. Explore the core database requirements that make businesses successful with cloud applications, which include continuous availability, linear scale, and geographic distribution."
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Datastax
Published By: Datastax     Published Date: May 14, 2018
"What’s In The Report? The Forrester Wave: Translytical Data Platforms, Q4 2017 report reviews companies that offer “translytical data platforms”, which Forrester defines as an “emerging technology” that delivers “faster access to business data to support various workloads and use cases.” Download the report if you want to learn: -Why Forrester named DataStax a leader among 12 companies it identifies as “the most significant translytical vendors. -What constitutes a “translytical data platform” and why translytical data platforms are so critical for enterprise data strategies today. Why performance, scale, security, and use-case support are the key differentiators."
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Datastax
Published By: IBM     Published Date: Mar 29, 2018
Evaluating cloud providers and looking for a trusted technology partner? Focus on these five vital aspects of cloud security.
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security, cloud platform, cloud security
    
IBM
Published By: IBM     Published Date: Apr 19, 2018
This paper presents a cost/benefit case for two industry-leading database platforms for analytics workloads.
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db2, data migration, ibm, oracle
    
IBM
Published By: NetApp     Published Date: Mar 06, 2018
This ESG report commissioned by NetApp provides insight to understand converged and hyperconverged platforms.
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: Bluewater Learning     Published Date: Apr 30, 2018
Many Learning and Talent Management platforms don’t have the flexibility to customize the type of reporting that users want, or it’s too complicated to figure out. Bluewater’s team of developers and designers can create completely customized pages within your Learning and Talent Management System* for a seamless delivery of what you need,
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Bluewater Learning
Published By: Tripp Lite     Published Date: May 15, 2018
A Practical Guide to IDF/MDF Infrastructure Implementation Once relegated to early adopters and casual home users, VoIP (voice over Internet protocol) has matured. An essential element of any unified communications (UC) system, it is now the standard method of voice communication in business, education, government and healthcare. If your organization has not already migrated to VoIP, the question is not so much if it will, but when. Cost is the primary driver, since the data network performs double duty by carrying voice traffic as well. VoIP also offers capabilities that far exceed traditional phone systems, with unified communication platforms promising to integrate messaging, mobility, collaboration, relationship management, zoned security, intelligent call routing, disaster recovery, video, teleconferencing, status updates and other advanced features. The transition to VoIP presents a number of challenges, including assessing the ability of your network to handle not only additio
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Tripp Lite
Published By: Adobe     Published Date: May 15, 2018
Discover how data management platforms can enable marketers to tackle growing data challenges, create powerful customer insights, and set up marketing campaigns that will increase revenues and significantly decrease wasted effort.
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Adobe
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