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data integration

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By: Veritas     Published Date: Dec 08, 2016
The latest version - Veritas NetBackup Platform 8.0 - delivers unified data protection for organizations of all sizes, with proven enterprise-class scale, high performance, extensive workload integration, and self-service. No matter where data resides, NetBackup is trusted today in small to the largest and most complex heterogeneous environments.
Tags : cloud, cloud computing, data management
     Veritas
By: Teradata     Published Date: May 02, 2017
A Great Use of the Cloud: Recent trends in information management see companies shifting their focus to, or entertaining a notion for the first time of a cloud-based solution. In the past, the only clear choice for most organizations has been on-premises data—oftentimes using an appliance-based platform. However, the costs of scale are gnawing away at the notion that this remains the best approach for all or some of a company’s analytical needs. This paper, written by McKnight Consulting analysts William McKnight and Jake Dolezal, describes two organizations with mature enterprise data warehouse capabilities, that have pivoted components of their architecture to accommodate the cloud.
Tags : data projects, data volume, business data, cloud security, data storage, data management, cloud privacy, encryption
     Teradata
By: Teradata     Published Date: May 02, 2017
even West Media (SWM) is Australia’s leading multiple platform media company with a market-leading presence in broadcast television, magazine and newspaper publishing, and online. To support its unprecedented broadcast of the Rio de Janeiro 2016 Olympic Games, SWM integrated the world’s first production implementation of the Teradata Database running on Amazon Web Services (AWS) into its existing data ecosystem. This enabled the delivery of critical insights during the event and helped directly drive audience engagement with SWM’s digital products, resulting in the creation of a powerful audience asset that that now informs their broadcasting, marketing, and advertising plans. Find out how with in this case study.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     Teradata
By: Teradata     Published Date: May 02, 2017
As companies consider incorporating enterprise-level cloud services offered by Amazon Web Services, Microsoft Azure, Teradata, and others, many challenges arise related to data security, integration into existing data architecture, and analytics activities themselves. Download this article to understand these and other considerations for evaluating and adopting a cloud strategy for your enterprise, and what it means for analytics.
Tags : cloud analytics, cloud development, cloud storage, cloud management, cloud security, cloud services, storage analytics
     Teradata
By: Teradata     Published Date: May 02, 2017
Should the data warehouse be deployed on the cloud? Read this IDC Research Spotlight to learn more.
Tags : data warehouse, data storage, data management, data analytics, data preparation, data integration, system integration
     Teradata
By: Teradata     Published Date: May 02, 2017
Kylo overcomes common challenges of capturing and processing big data. It lets businesses easily configure and monitor data flows in and through the data lake so users have constant access to high-quality data. It also enhances data profiling while offering self-service and data wrangling capabilities.
Tags : cost reduction, data efficiency, data security, data integration, financial services, data discovery, data accessibility, data comprehension
     Teradata
By: IBM     Published Date: Jan 06, 2016
Replay of the September 24, 2015 webcast on API Economy & API Management with speaker George Nealon, IBM API Economy and Integration Sales Manager Worldwide.
Tags : ibm, digital, business, cloud strategy, applications, data. integration
     IBM
By: IBM     Published Date: Feb 22, 2016
To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources.
Tags : ibm, data, performance, scalability, information integration, big data
     IBM
By: IBM     Published Date: Feb 22, 2016
Survive the big data storm by getting ahead of integration and governance functional requirements
Tags : ibm, data, big data, integration, governance, security
     IBM
By: IBM     Published Date: Feb 22, 2016
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage.
Tags : ibm, data, big data, integration, hadoop
     IBM
By: IBM     Published Date: Feb 22, 2016
IBM commissioned Forrester Consulting to conduct a Total Economic Impact (TEI) study and examine the potential return on investment (ROI) enterprises may realize by leveraging IBM InfoSphere Information Integration and Governance (IIG) solutions.
Tags : ibm, data, information integration, governance, roi, infosphere
     IBM
By: IBM     Published Date: Feb 22, 2016
IBM InfoSphere Information Server is designed to help organizations understand, cleanse, monitor, transform and deliver data.
Tags : ibm, data, big data, integration, governance, iig, infosphere
     IBM
By: IBM     Published Date: Apr 22, 2016
Developing a data integration and lifecycle management strategy for a hybrid environment This e-book focuses on building and executing a data integration and lifecycle management strategy.
Tags : ibm, think data, integration, lifecycle strategy, ibm analytics
     IBM
By: IBM     Published Date: Jul 06, 2016
Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
Tags : ibm, big data, trusted data, data management, data solutions
     IBM
By: IBM     Published Date: Jul 06, 2016
Built using the IBM® InfoSphere® Information Server, IBM BigInsights® BigIntegrate and BigInsights BigQuality provide the end-to-end information integration and governance capabilities that organizations need.
Tags : ibm, big data, ibm infosphere, ibm biginsights, ibm bigintegrate, ibm bigquality, data management, data quality
     IBM
By: IBM     Published Date: Jul 06, 2016
How can your organization realize the financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy? The answer is governance. Download to read more.
Tags : ibm, big data, trusted data, data management, data solutions
     IBM
By: IBM     Published Date: Oct 13, 2016
Cloud-based data and processing services present too much opportunity for organizations to ignore. How can organizations realize the obvious financial benefits of the cloud while ensuring information culled from cloud sources is secure and trustworthy? Good hybrid information governance implies several priorities for IT and the business which are based on these foundational pillars: - Broad agreement on what information means - Clear agreement on how owned information assets will be maintained and monitored - Standard practices for securing strategic information assets - Enterprise data integration strategy
Tags : ibm, trusted data, big data, governance, data governance
     IBM
By: IBM     Published Date: Oct 13, 2016
Who's afraid of the big (data) bad wolf? Survive the big data storm by getting ahead of integration and governance functional requirements Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
Tags : ibm, big data, trusted data, data management, data solutions
     IBM
By: IBM     Published Date: Oct 13, 2016
IBM commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study and examine the potential return on investment (ROI) enterprises may realize by leveraging IBM InfoSphere Information Integration and Governance (IIG) solutions.
Tags : ibm, forrester, data, analytics, big data, ibm information integration, governance
     IBM
By: IBM     Published Date: Oct 13, 2016
IBM InfoSphere Information Server connects to many new ‘at rest’ and streaming big data sources, scales natively on Hadoop using partition and pipeline parallelism, automates data profiling, provides a business glossary, and an information catalog, plus also supports IT.
Tags : ibm, data, analytics, big data, data integration
     IBM
By: IBM     Published Date: Nov 08, 2016
Read this report to learn more on the future of IoT.
Tags : ibm, cloud, middleware, iot, data integration
     IBM
By: IBM     Published Date: Jan 27, 2017
The bottom line is that those that have the most customer insight will win because they know what customers want. So the question is how will you get that insight? What is it that you don’t know about customers in the market(s) that you operate in? Do you have all the attributes about customers in your MDM system that could be of value to your business? Do you know about all the relationships that your customers have in your MDM system? In most cases, the answer to the above questions is no which inevitably means one thing. You need more data
Tags : 
     IBM
By: IBM     Published Date: Jan 27, 2017
A big data integration platform that is flexible and scalable is needed to keep up with today’s ever-increasing big data volume.
Tags : 
     IBM
By: IBM     Published Date: Jan 27, 2017
Cloud- based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on- premises data with new third- party cloud- based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
Tags : 
     IBM
By: IBM     Published Date: Jan 27, 2017
In today’s highly distributed, multi-platform world, the data needed to solve any particular decision making need is increasingly likely to be found across a wide variety of sources. As a result, traditional manual approaches requiring prior collection, storage and integration of extensive sets of data in the analyst’s preferred exploration environment are becoming less useful. Data virtualization, which offers transparent access to distributed, diverse data sources, offers a valuable alternative approach in these circumstances.
Tags : 
     IBM
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