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Published By: Denodo     Published Date: Feb 07, 2019
With the advent of big data and the proliferation of multiple information channels, organizations must store, discover, access, and share massive volumes of traditional and new data sources. Data virtualization transcends the limitations of traditional data integration techniques such as ETL by delivering a simplified, unified, and integrated view of trusted business data. Learn how you can: • Conquer siloed data in the enterprise • Integrate all data sources and types • Cope with regulatory requirements • Deliver big data solutions that work • Take the pain out of cloud adoption • Drive digital transformation
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Denodo
Published By: DATAVERSITY     Published Date: Jun 14, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate, if needed) the strategic and tactical business drivers every enterprise needs for market success. This paper is sponsored by: ASG, DGPO and DebTech International.
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data, data management, data governance, data steward, dataversity, research paper
    
DATAVERSITY
Published By: DATAVERSITY     Published Date: Dec 27, 2013
There are actually many elements of such a vision that are working together. ACID and NoSQL are not the antagonists they were once thought to be; NoSQL works well under a BASE model, but also some of the innovative NoSQL systems fully conform to ACID requirements. Database engineers have puzzled out how to get non-relational systems to work within an environment that demands high availability, scalability, with differing levels of recovery and partition tolerance. BASE is still a leading innovation that is wedded to the NoSQL model, and the evolution of both together is harmonious. But that doesn’t mean they always have to be in partnership; there are several options. So while the opening anecdote is true in many cases, organizations that need more diverse possibilities can move into the commercial arena and get the specific option that works best for them. This paper is sponsored by: MarkLogic.
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nosql, database, acid v base, white paper
    
DATAVERSITY
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: Embarcadero     Published Date: Apr 29, 2015
Everything about data has changed, but that only means that data models are even more essential to understanding that data so that businesses can know what it means. As development methodologies change to incorporate Agile workflows, data architects must adapt to ensure models stay relevant and accurate. This whitepaper describes key requirements for Agile data modeling and shows how ER/Studio supports this methodology.
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data, data management, data modeling, agile, agile data modeling, it management
    
Embarcadero
Published By: CA Technologies     Published Date: Apr 24, 2013
Using ERwin Data Modeler & Microsoft SQL Azure to Move Data to the Cloud within the DaaS Lifecycle by Nuccio Piscopo Cloud computing is one of the major growth areas in the world of IT. This article provides an analysis of how to apply the DaaS (Database as a Service) lifecycle working with ERwin and the SQL Azure platform. It should help enterprises to obtain the benefits of DaaS and take advantage of its potential for improvement and transformation of data models in the Cloud. The use case introduced identifies key actions, requirements and practices that can support activities to help formulate a plan for successfully moving data to the Cloud.
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CA Technologies
Published By: IDERA     Published Date: Feb 06, 2017
Data modeling can provide tangible economic benefits, which are best shown by quantifying the traditional benefits of data modeling. In this whitepaper, Tom Haughey discusses how to calculate the return on investment (ROI) of data modeling by assessing the economic value of real data modeling benefits, such as improved requirements definition, reduced maintenance, accelerated development, improved data quality and reuse of existing data assets. Download this whitepaper to learn how to: - Describe the value proposition of data modeling - Assess the economic value of data modeling benefits - Learn three methods to calculate data modeling ROI
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IDERA
Published By: Innovative Systems     Published Date: Feb 20, 2018
Organizations around the world are scrambling to understand and comply with the new European Union (EU) General Data Protection Regulation (GDPR) which impacts not only EU companies, but anyone who handles the data of EU citizens. Download this white paper to learn how to quickly and cost-effectively have the correct information to meet GDPR requirements without needing an army of data management professionals.
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Innovative Systems
Published By: Dataiku     Published Date: Feb 01, 2018
A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what does running a POC mean in practice specifically for data science? POCs should prove not just that a solution solves one particular, specific problem, but that the solution in question will provide widespread value to the company: that it's capable of bringing a data-driven perspective to a range of the business's strategic objectives. Get the 7 steps to running an efficient POC in this white paper.
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Dataiku
Published By: Dataiku     Published Date: Feb 19, 2018
A proof of concept (POC) is a popular way for businesses to evaluate the viability of a system, product, or service to ensure it meets specific needs or sets of predefined requirements. But what does running a POC mean in practice specifically for data science? POCs should prove not just that a solution solves one particular, specific problem, but that the solution in question will provide widespread value to the company: that it's capable of bringing a data-driven perspective to a range of the business's strategic objectives. Get the 7 steps to running an efficient POC in this white paper.
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Dataiku
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: MarkLogic     Published Date: Jun 16, 2013
The primary issue discussed within this paper boils down to two disparate database reliability models: ACID vs BASE. The first (ACID) has been around for some 30+ years, is a proven industry standard for SQL-centric and other relational databases, and works remarkably well in the older, yet still extant, world of vertical scaling. The second (BASE) has only recently gained popularity over the past 10 years or so, especially with the rise of social networking, Big Data, NoSQL, and other leviathans in the new world of Data Management. BASE requirements rose out of a need for ever-expanding horizontally scaled distributed networks, with non-relational data stores, and the real-time availability constraints of web-based transaction processing. While there are now more crossovers and negotiations between the two models, they essentially represent two competing groups, with Brewer’s CAP Theorem acting as the referee in the middle forcing tough decisions on each team.
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data, data management, unstructured data, nosql, database, acid, base, database transactioning
    
MarkLogic
Published By: MapR Technologies     Published Date: Jul 26, 2013
Enterprises are faced with new requirements for data. We now have big data that is different from the structured, cleansed corporate data repositories of the past.Before, we had to plan out structured queries. In the Hadoop world, we don’t have to sort data according to a predetermined schema when we collect it. We can store data as it arrives and decide what to do with it later. Today, there are different ways to analyze data collected in Hadoop—but which one is the best way forward?
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white paper, hadoop, nosql, mapr, mapr technologies
    
MapR Technologies
Published By: DATAVERSITY     Published Date: Jun 17, 2013
This report analyzes many challenges faced when beginning a new Data Governance program, and outlines many crucial elements in successfully executing such a program. “Data Governance” is a term fraught with nuance, misunderstanding, myriad opinions, and fear. It is often enough to keep Data Stewards and senior executives awake late into the night. The modern enterprise needs reliable and sustainable control over its technological systems, business processes, and data assets. Such control is tantamount to competitive success in an ever-changing marketplace driven by the exponential growth of data, mobile computing, social networking, the need for real-time analytics and reporting mechanisms, and increasing regulatory compliance requirements. Data Governance can enhance and buttress (or resuscitate,if needed) the strategic and tactical business drivers every enterprise needs for market success.
Tags : 
research paper, data, data management, data governance, data steward
    
DATAVERSITY
Published By: Embarcadero     Published Date: Apr 23, 2015
Everything about data has changed, but that only means that data models are even more essential to understanding that data so that businesses can know what it means. As development methodologies change to incorporate Agile workflows, data architects must adapt to ensure models stay relevant and accurate. This whitepaper describes key requirements for Agile data modeling and shows how ER/Studio supports this methodology.
Tags : 
data, data management, data modeling, agile, agile data modeling, it management
    
Embarcadero
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: Avanade DACH     Published Date: Jan 08, 2019
To compete in today’s world, business leaders are placing increased demands on IT. Unfortunately, many IT departments are not able to deliver future innovation with their current infrastructure, applications and processes. To meet these demands, IT must digitally transform the enterprise through the adoption of cloud native practices, allowing them to both optimize and transform their existing infrastructure and applications. Recent Avanade research supports this thinking, finding that 88% of senior IT decision-makers believe that IT modernization is crucial to addressing the emerging requirements of the digital business1 . On the upside, those surveyed also indicated that by modernizing their IT infrastructures they expect to deliver real business results, such as boosting annual revenue by 14%, while at the same time reducing business operating costs by 13%1 . For many, this sounds like a winning strategy but what does it mean to adopt cloud native approaches, and how does it impact
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Avanade  DACH
Published By: Stratoscale     Published Date: Feb 01, 2019
This eBook offers a practical hands-on guide to analyzing and mitigating the risks of migrating to PostgreSQL. With the ongoing shift towards open-source database solutions, it’s no surprise that PostgreSQL is the fastest growing database. While it’s tempting to simply compare the licensing costs of proprietary systems against that of open source, it is both a misleading and incorrect approach when evaluating the potential for return on investment of a database technology migration. A key decision criteria for adopting any technology is whether it can support requirements for existing applications while also fitting into longer term strategies and needs. The first section of this eBook provides a detailed analysis of all aspects of migrating from legacy and commercial solutions to PostgreSQL: ? Schema and code migration ? Data migration ? Application code migration ? Testing and evaluation
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Stratoscale
Published By: Time Clock Plus     Published Date: Feb 07, 2019
While the legal requirements to provide employees with paid or unpaid leave for family and medical issues become more complex, the leave-management tools and services available to employers continue to expand. Employers with the budget to do so are outsourcing—often to a single vendor—leave-management tasks for the federal Family and Medical Leave Act (FMLA) and Americans with Disabilities Act (ADA), and state and local leave ordinances, according to recently released findings from a survey of 1,203 employers conducted in 2017. Employers with the resources to manage leave internally are increasingly using technology to assist them.
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Time Clock Plus
Published By: Genesys     Published Date: Feb 08, 2019
The maturity of cloud platforms inspires new confidence in moving mission critical systems to the cloud to gain agility, scale, and cost benefits. How can your company achieve these benefits? What steps are necessary to begin your contact centre’s inevitable move to the cloud? Choosing the right contact centre partner will ensure your cloud journey success. Do you know how to find the right contact centre partner to help move to the cloud? This eBook offers ten key considerations for selecting a partner and moving to a cloud-based contact centre. Having a good sense for your business requirements, your prospective partner’s capabilities, and the cultural fit will pay off in helping you realize your business goals in the long run.
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Genesys
Published By: Genesys     Published Date: Feb 08, 2019
Customers today expect their customer service to be as connected as they are. If you can’t deliver a seamless omnichannel customer experience or easily add digital channels such as mobile, social media and web, you risk being left behind. Some companies try to deliver omnichannel with dated technology, a tangle of point solutions, bolted together with duct tape. But you don’t have to. Read this ebook and see: Why force-fitting more channels into an aging infrastructure is not the right approach How to create a future-ready customer experience How an integrated approach improves your metrics and reduces operating costs
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Genesys
Published By: Genesys     Published Date: Feb 12, 2019
The maturity of cloud platforms inspires new confidence in moving mission critical systems to the cloud to gain agility, scale, and cost benefits. How can your company achieve these benefits? What steps are necessary to begin your contact centre’s inevitable move to the cloud? Choosing the right contact centre partner will ensure your cloud journey success. Do you know how to find the right contact centre partner to help move to the cloud? This eBook offers ten key considerations for selecting a partner and moving to a cloud-based contact centre. Having a good sense for your business requirements, your prospective partner’s capabilities, and the cultural fit will pay off in helping you realize your business goals in the long run.
Tags : 
    
Genesys
Published By: Genesys     Published Date: Feb 12, 2019
The maturity of cloud platforms inspires new confidence in moving mission critical systems to the cloud to gain agility, scale, and cost benefits. How can your company achieve these benefits? What steps are necessary to begin your contact centre’s inevitable move to the cloud? Choosing the right contact centre partner will ensure your cloud journey success. Do you know how to find the right contact centre partner to help move to the cloud? This eBook offers ten key considerations for selecting a partner and moving to a cloud-based contact centre. Having a good sense for your business requirements, your prospective partner’s capabilities, and the cultural fit will pay off in helping you realize your business goals in the long run.
Tags : 
    
Genesys
Published By: Genesys     Published Date: Feb 12, 2019
The maturity of cloud platforms inspires new confidence in moving mission critical systems to the cloud to gain agility, scale, and cost benefits. How can your company achieve these benefits? What steps are necessary to begin your contact centre’s inevitable move to the cloud? Choosing the right contact centre partner will ensure your cloud journey success. Do you know how to find the right contact centre partner to help move to the cloud? This eBook offers ten key considerations for selecting a partner and moving to a cloud-based contact centre. Having a good sense for your business requirements, your prospective partner’s capabilities, and the cultural fit will pay off in helping you realize your business goals in the long run.
Tags : 
    
Genesys
Published By: Genesys     Published Date: Feb 12, 2019
Customers today expect their customer service to be as connected as they are. If you can’t deliver a seamless omnichannel customer experience or easily add digital channels such as mobile, social media and web, you risk being left behind. Some companies try to deliver omnichannel with dated technology, a tangle of point solutions, bolted together with duct tape. But you don’t have to. Read this ebook and see: Why force-fitting more channels into an aging infrastructure is not the right approach How to create a future-ready customer experience How an integrated approach improves your metrics and reduces operating costs
Tags : 
    
Genesys
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