data architecture

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By: MarkLogic     Published Date: Jun 21, 2017
Global financial organizations are facing increasing demands from the business for more granularity, transparency, reporting and security. If you’re on the IT side, you know this adds a different set of ‘mores’ to the equation: More duplication, delays, and people. What’s the net-net? More cost and more risk. You can balance the scales to satisfy those demands. And it starts with thinking differently about data management. Our financial services technology experts will explore the implications of governance, risk and compliance (GRC) imperatives. You’ll learn: • Why data is at the heart of an effective and dynamic GRC strategy • Why technological capabilities used to enable standard GRC programs can reduce transparency and prevent you from gaining a holistic view of your data • A new approach to data can provide the business with complete transparency • Review a sample regulatory reporting architecture Stop burning time on tooling — and start building a dynamic GRC strategy that can
Tags : banking, financial services, data management, silos, data strategy, transparency, data governance, regulation, data architecture, compliance, reporting
     MarkLogic
By: MobileIron     Published Date: May 07, 2018
This 10-point checklist outlines best practices for designing a security architecture that protects cloud data at the endpoint. Enterprise computing architectures have changed fundamentally in the last ten years, as employees consume an ever-growing collection of business cloud services through mobile apps. The traditional security approach of network perimeter and locked-down endpoints is not suitable for this app-to-cloud model of modern work.
Tags : cloud, best, practices, endpoint, security, data
     MobileIron
By: MobileIron     Published Date: Aug 20, 2018
This 10-point checklist outlines best practices for designing a security architecture that protects cloud data at the endpoint. Enterprise computing architectures have changed fundamentally in the last ten years, as employees consume an ever-growing collection of business cloud services through mobile apps. The traditional security approach of network perimeter and locked-down endpoints is not suitable for this app-to-cloud model of modern work.
Tags : cloud, practices, audit, checklist, endpoint, security
     MobileIron
By: Looker     Published Date: Dec 03, 2015
The focus of modern business intelligence has been self-service; pushing data into the hands of end users more quickly with more accessible user interfaces so they can get answers fast and on their own. This has helped alleviate a major BI pain point: centralized, IT-dominated solutions have been too slow and too brittle to serve the business. What has been masked is a lack of innovation in data modeling. Data modeling is a huge, valuable component of BI that has been largely neglected. In this webinar, we discuss Looker’s novel approach to data modeling and how it powers a data exploration environment with unprecedented depth and agility. Topics covered include: • A new architecture beyond direct connect • Language-based, git-integrated data modeling • Abstractions that make SQL more powerful and more efficient
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     Looker
By: IBM     Published Date: Jul 05, 2016
The use of analytics will define the successful midmarket business of the next decade, just as it will define the successful larger organization in this information age. The past decade has seen rapid change in the business climates with an explosion of global competition and economic uncertainty. Despite this, many midmarket companies have thrived by using their size and agility as a competitive advantage. Certainly they have fewer resources than large corporations who are able to invest large sums in IT. However, small yachts can turn and adjust their course much quicker than large cruise ships. The same came be said for midmarket companies. The most successful organizations are ones that can react the quickest to changes in the market place. Midmarket companies can take advantage of their smaller size by being more agile and quicker to change, or even reinvent themselve
Tags : ibm, ibm pure data system, big data, data analytics, analytics architecture, competitive advantage, midmarket organization, knowledge management, data management
     IBM
By: IBM     Published Date: Nov 08, 2017
In this paper, you'll learn how organizations are adopting increasingly sophisticated analytics methods, that analytics usage trends are placing new demands on rigid data warehouses, and what's needed is hybrid data warehouse architecture that supports all deployment models.
Tags : data warehouse, analytics, ibm, deployment models
     IBM
By: HotSchedules     Published Date: Apr 25, 2018
Restaurant technologies have transformed drastically over the past decade, however there have been several misconceptions about the impact big data can have on restaurant operations. According to a Hospitality Technology study, only 23% of restaurants have confidence in overall tech innovation. When it comes to the state of technology many restaurants are still stuck with disconnected architecture, complex legacy systems, lack of visibility, and high maintenance costs. These challenges ultimately intimidate restaurant operators to outdated systems and processes that significantly limit their business growth. This ebook looks at the four pressing challenges and presents one unifying solution.
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     HotSchedules
By: Datastax     Published Date: Aug 23, 2017
Enterprises today continue to differentiate themselves with cloud applications – any application that needs to be always-on, distributed, scalable, real-time, and contextual. With DataStax Enterprise, DataStax delivers comprehensive data management with a unique always-on architecture that accelerates the ability of enterprises, government agencies, and systems integrators to power the exploding number of cloud applications. DataStax Enterprise (DSE) powers these cloud applications that require data distribution across data centers and clouds, by using a secure, operationally simple platform. At its core, DSE offers the industry’s best distribution of Apache Cassandra™. This paper provides a summary of the features and functionality of DataStax Enterprise that make it the best choice for companies that are looking to leverage the promise of Apache Cassandra™ for production environments.
Tags : cloud, adoption, application, migration, performance
     Datastax
By: Druva     Published Date: Nov 09, 2018
The all-encompassing data center is a thing of the past. Modern data environments are distributed and include remote and branch offices, mobile devices, and the Internet of Things (IoT) as well as cloud solutions such as infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS). There’s more critical data to back up than ever before. Plus, data silos and fragmented management mean poor visibility, which can make it difficult to comply with regional data residency and security rules as well as service-level agreements (SLAs). On-premises data protection has not kept pace. According to a survey by Fujitsu, 45% of IT managers said they had lost data or productivity related to data protection inefficiency within the last year.1 Often, this is because on-premises backups are cumbersome and do not always happen on time.
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     Druva
By: Oracle + Dyn     Published Date: Jun 29, 2017
Global DNS performance and availability are critical to business continuity, security and end-user experience. With online applications, content, data and services often scattered across the internet and housed in your own DCs, your CDN or in your cloud instances; it’s more important than ever to have a robust, redundant DNS solution making sure your assets get delivered as quickly and reliably as possible. This whitepaper reviews the business advantages of implementing a high availability DNS architecture using redundant DNS services. You will learn: The critical role DNS plays in the user experience The failure and outage risks of relying on a single DNS solution The major resiliency and performance differences between unicast vs anycast addressing Criteria for evaluating a managed DNS service provider Download Now!
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     Oracle + Dyn
By: Group M_IBM Q1'18     Published Date: Jan 23, 2018
In this paper, you'll learn how organizations are adopting increasingly sophisticated analytics methods, that analytics usage trends are placing new demands on rigid data warehouses, and what's needed is hybrid data warehouse architecture that supports all deployment models.
Tags : data warehouse, analytics, hybrid data warehouse, development model
     Group M_IBM Q1'18
By: Cohesity     Published Date: Nov 20, 2018
Today, hybrid cloud is increasingly the norm, and enterprises are challenged with ways to have visibility, manage and make use of all this data – both on-premises and in the cloud. While much attention has been given to primary data affecting mission-critical workloads, data for secondary workloads – backup, test/dev, disaster recovery, and archiving to name a few – have become siloed the same way application data has, leading to multiple point solutions to manage an increasing amount of data. This white paper looks at the evolution of these challenges and offers practical advice on ways to store, manage and move secondary data in hybrid cloud architectures while extracting the hidden value it can provide. Download to learn more.
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     Cohesity
By: Systemware     Published Date: Sep 07, 2018
Five key trends are shaping the enterprise content management (ECM) space. New business objectives, new market imperatives, and new cloud-based platforms compel technology and business decision makers to take a fresh look at their strategy and underlying platforms. This report will help enterprise architecture (EA) professionals make informed decisions about their content management agenda.
Tags : systemware, content management, digital transformation, content cloud, top key trends, intelligent information, data storage, enterprise content management, it management, content services, enterprise architecture
     Systemware
By: Systemware     Published Date: Sep 07, 2018
How’s your digital transformation going? What processes are you focusing on? Who’s leading the transformation? What technologies are a priority? What challenges do you face? To answer these questions, tap into the Forrester Data Global Business Technographics® Business And Technology Services Survey of your peers. Digital business pros should open this infographic to see the state of digital transformation.
Tags : systemware, content management, digital transformation, content cloud, top key trends, intelligent information, data storage, enterprise content management, it management, content services, enterprise architecture
     Systemware
By: Domino Data Lab     Published Date: Feb 08, 2019
A data science platform is where all data science work takes place and acts as the system of record for predictive models. While a few leading model-driven businesses have made the data science platform an integral part of their enterprise architecture, most companies are still trying to understand what a data science platform is and how it fits into their architecture. Data science is unlike other technical disciplines, and models are not like software or data. Therefore, a data science platform requires a different type of technology platform. This document provides IT leaders with the top 10 questions to ask of data science platforms to ensure the platform handles the uniqueness of data science work.
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     Domino Data Lab
By: Oracle + Dyn     Published Date: Jun 27, 2017
"Global DNS performance and availability are critical to business continuity, security and end-user experience. With online applications, content, data and services often scattered across the internet and housed in your own DCs, your CDN or in your cloud instances; it’s more important than ever to have a robust, redundant DNS solution making sure your assets get delivered as quickly and reliably as possible. This whitepaper reviews the business advantages of implementing a high availability DNS architecture using redundant DNS services. You will learn: • The critical role DNS plays in the user experience • The failure and outage risks of relying on a single DNS solution • The major resiliency and performance differences between unicast vs anycast addressing • Criteria for evaluating a managed DNS service provider Download Now! "
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     Oracle + Dyn
By: MarkLogic     Published Date: Nov 07, 2017
Business demands a single view of data, and IT strains to cobble together data from multiple data stores to present that view. Multi-model databases, however, can help you integrate data from multiple sources and formats in a simplified way. This eBook explains how organizations use multi-model databases to reduce complexity, save money, lessen risk, and shorten time to value, and includes practical examples. Read this eBook to discover how to: Get unified views across disparate data models and formats within a single database Learn how multi-model databases leverage the inherent structure of data being stored Load as is and harmonize unstructured and semi-structured data Provide agility in data access and delivery through APIs, interfaces, and indexes Learn how to scale a multi-model database, and provide ACID capabilities and security Examine how a multi-model database would fit into your existing architecture
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     MarkLogic
By: Schneider Electric     Published Date: Feb 17, 2017
In this white paper, we will look into: • The changing face of the colocation buyer • Industry structure, including mergers and acquisitions • The Internet of Things and big data • Edge computing • Cloud computing and Internet Giants • The impact of data center infrastructure management (DCIM) • Data center design architectures
Tags : colocation, iot, internet of things, big data, edge computing, cloud computing, dcim, data center infrastructure management, data center design architectures
     Schneider Electric
By: Schneider Electric     Published Date: Feb 17, 2017
This white paper provides a quantitative TCO analysis of the two architectures, and illustrates the key drivers of both the capex and opex savings of the improved architecture.
Tags : data center, power, cooling, data center architecture, power and cooling infrastructure, tco, total cost of ownership
     Schneider Electric
By: SAS     Published Date: May 24, 2018
Implementing omnichannel marketing is often difficult, especially when using digital channels. Most products designed for digital channels lack the ability to integrate with traditional channels that have on-site processes and data. SAS Customer Intelligence 360 enables businesses to use both cloud and on-site channels and data. This integration is possible because of SAS software’s hybrid cloud architecture.
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     SAS
By: HP - Intel® Xeon® processors     Published Date: Nov 07, 2012
In this white paper, HP and Veeam Software outline an end-to-end storage and data protection architecture optimized for VMware vSphere and Microsoft® Hyper-V environments.
Tags : virtualization, converged infrastructure, cloud computing, convergence, mission-critical applications, servers, cloud, it infrastructure, data management, business technology, data center
     HP - Intel® Xeon® processors
By: GoodData     Published Date: Sep 17, 2013
While some IT best practices are applicable to BI, many are not. BI is different. Specifi cations are oft en outdated by the time they are collected. Business users demand more control; therefore, IT standards oft en take a back seat. Enterprises that understand and embrace these differences are oft en the most successful with BI.
Tags : gooddata, business intelligence, data. better data, bigger ideas, bi reference architecture, bi platform, software development
     GoodData
By: FireEye     Published Date: Feb 28, 2014
Organizations face a new breed of cyber attacks that easily thwart traditional defenses. These advanced attacks are targeted. They are persistent. And they are devastatingly effective at breaching your systems and stealing your sensitive data. This paper examines: The limitations of existing security solutions; Several security architectures, including sandbox-based products; An architecture built from the ground up to truly protect against today's advanced attacks.
Tags : fireeye, persistent threats, advanced attacks, data centers, cyber-attacks, speed of detection, accuracy of detection, small businesses, information security, security threats, fireeye platform, protecting data, cyber targets, cybercriminals, prime target, midsize businesses, security, it management
     FireEye
By: MarkLogic     Published Date: Mar 29, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
Tags : enterprise, metadata, management, organizations, technology, tools, mark logic
     MarkLogic
By: MarkLogic     Published Date: May 07, 2018
Executives, managers, and users will not trust data unless they understand where it came from. Enterprise metadata is the “data about data” that makes this trust possible. Unfortunately, many healthcare and life sciences organizations struggle to collect and manage metadata with their existing relational and column-family technology tools. MarkLogic’s multi-model architecture makes it easier to manage metadata, and build trust in the quality and lineage of enterprise data. Healthcare and life sciences companies are using MarkLogic’s smart metadata management capabilities to improve search and discovery, simplify regulatory compliance, deliver more accurate and reliable quality reports, and provide better customer service. This paper explains the essence and advantages of the MarkLogic approach.
Tags : agile, enterprise, metadata, management, organization
     MarkLogic
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