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Published By: IBM     Published Date: Nov 17, 2016
IBM API Connect is a comprehensive management solution that addresses all four aspects of the API lifecycle: create, run, manage and secure. This makes API Connect far more cost-effective than limited point solutions that focus on just a few lifecycle phases and can end up collectively costing more as organizations piece components together. Download this datasheet and find out how IBM API Connect can help your organization.
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ibm, api, api economy, integration, application program interface, cloud, middleware, digital transformation, ibm api connect
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
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IBM
Published 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
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IBM
Published 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.
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IBM
Published 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.
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IBM
Published By: IBM     Published Date: Jan 27, 2017
A solid information integration and governance program must become a natural part of big data projects, supporting automated discovery, profiling and understanding of diverse data sets to provide context and enable employees to make informed decisions. It must be agile to accommodate a wide variety of data and seamlessly integrate with diverse technologies, from data marts to Apache Hadoop systems. And it must automatically discover, protect and monitor sensitive information as part of big data applications.
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IBM
Published 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.
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IBM
Published By: IBM     Published Date: Apr 14, 2017
A big data integration platform that is flexible and scalable is needed to keep up with today’s ever-increasing big data volume. Download this infographic to find out how to build a strong foundation with big data integration.
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big data, big data integration, scalable data
    
IBM
Published By: IBM     Published Date: Apr 14, 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.
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data integration, lifecycle management, hybrid environment, cloud-based data, information governance, decision making
    
IBM
Published By: IBM     Published Date: Apr 14, 2017
Any organization wishing to process big data from newly identified data sources, needs to first determine the characteristics of the data and then define the requirements that need to be met to be able to ingest, profile, clean,transform and integrate this data to ready it for analysis. Having done that, it may well be the case that existing tools may not cater for the data variety, data volume and data velocity that these new data sources bring. If this occurs then clearly new technology will need to be considered to meet the needs of the business going forward.
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data integration, big data, data sources, business needs, technological advancements, scaling data
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
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data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
    
IBM
Published By: IBM     Published Date: Apr 18, 2017
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. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data. To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.
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data integration, data security, data optimization, data virtualization, database security, data migration, data assets, data delivery
    
IBM
Published By: IBM     Published Date: May 09, 2017
How companies are managing growth, gaining insights and cutting costs in the era of big data
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
IBM
Published By: IBM     Published Date: Jun 20, 2017
Watch this on-demand webinar for a look at in-memory databases and better understand the advantages of in-memory vs. disk-based technology.
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data integration, data security, data optimization, data virtualization, in-memory, disk-based, technology
    
IBM
Published By: IBM     Published Date: Jul 06, 2017
DB2 is a proven database for handling the most demanding transactional workloads. But the trend as of late is to enable relational databases to handle analytic queries more efficiently by adding an inmemory column store alongside to aggregate data and provide faster results. IBM's BLU Acceleration technology does exactly that. While BLU isn't brand new, the ability to spread the column store across a massively parallel processing (MPP) cluster of up to 1,000 nodes is a new addition to the technology. That, along with simpler monthly pricing options and integration with dashDB data warehousing in the cloud, makes DB2 for LUW, a very versatile database.
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memory analytics, database, efficiency, acceleration technology, aggregate data
    
IBM
Published By: IBM     Published Date: Apr 13, 2018
New survey reveals the challenges organizations face in integrating data and their priorities for improving data integration.
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data integration, data, cloud
    
IBM
Published By: Redhat     Published Date: Sep 15, 2015
This whitepaper reveals the benefits of open source software for IT organisations.
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open source integration software, open source software, benefits of open source software, enterprise it, technology integration, redhat, integration products
    
Redhat
Published By: Redhat     Published Date: Sep 15, 2015
Read this whitepaper to learn about Red Hat's messaging and integration products, which have a long track record of providing the foundation for scalable.
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integration products, integration application, red hat, enterprise
    
Redhat
Published By: Fugue     Published Date: Mar 27, 2017
Directed at cloud architecting concerns, this paper covers streamlining complexity at scale, knowing infrastructure state, and using easily repeatable patterns that bolster security, compliance, and disaster recovery. Get this white paper now.
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cloud management, cloud infrastructure management, cloud operating systems, cloud, cloud infrastructure, cloud computing, cloud adoption, cloud migration, devops, aws, amazon web services, cloud operations, cloud ops, continuous delivery, continuous integration, ci/cd, cicd, cloud automation, serverless, lambda
    
Fugue
Published By: Fugue     Published Date: Mar 27, 2017
This paper details that approach to cloud's complex challenges and how an extensible, infrastructure-level cloud operating system like Fugue fits the bill to realize success.
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cloud management, cloud infrastructure management, cloud operating systems, cloud, cloud infrastructure, cloud computing, cloud adoption, cloud migration, devops, aws, amazon web services, cloud operations, cloud ops, continuous delivery, continuous integration, ci/cd, cicd, cloud automation, serverless, lambda
    
Fugue
Published By: Fugue     Published Date: Mar 27, 2017
Check out this report to see why Ovum recommends Fugue’s solution to help developers generate applications that can exploit cloud capabilities and deliver on the promise of the cloud.
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cloud management, cloud infrastructure management, cloud operating systems, cloud, cloud infrastructure, cloud computing, cloud adoption, cloud migration, devops, aws, amazon web services, cloud operations, cloud ops, continuous delivery, continuous integration, ci/cd, cicd, cloud automation, serverless, lambda
    
Fugue
Published By: Dassault Systèmes     Published Date: Jun 19, 2018
This spotlight report examines: • How Manufacturing Operations Management (MOM) or Manufacturing Execution Systems (MES) are key enablers of data management and Digital Transformation. Companies can combine many other opportunities with manufacturing operations in a digital journey. • Product lifecycle management (PLM) as a high-value discipline to pair with MOM in discrete manufacturing, and the value of digital continuity across engineering, manufacturing operations, and supply chain. • A robust integration of MOM and PLM technologies and the advent of the Digital Twin (a virtual copy of the product and how it's made) to demonstrate maturity in Smart Manufacturing and the ability to make smart products in smart factories. The IIoT has opened up a world of opportunity for manufacturers. Take advantage of it.
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Dassault Systèmes
Published By: Trend Micro     Published Date: Feb 01, 2013
Despite increased awareness and focus on defending against targeted attacks from both business and security leaders, organizations continue to be breached and suffer the consequences. Many of today’s security investments are simply not aligned to defend against these targeted threat vectors. Advanced threat detection and response should not be a point solution but rather a combination of technologies and core competencies. Detecting and responding to advanced threats should involve tight integration of multiple security technologies, network analysis and visibility (NAV) tools, the ability to automatically generate content such as security rules and signatures, context on attacker history, and overall customization and flexibility to ensure that the solution is fine-tuned for your specific IT environment.
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security, advance threat detection, nav
    
Trend Micro
Published By: IBM APAC     Published Date: Aug 25, 2017
The world of business analytics is evolving rapidly, and while there are multiple emerging trends of note, two stand out as particularly impactful. First, there is an expanding and increasingly diverse audience of users that are becoming more analytically active. From mid-level Line-of-Business staff to senior executives on mahogany row, more users in more job functions are taking an increased level of ownership in the insight that fuels their decisions and the underlying data that supports that insight.
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data integration, data security, data optimization, data virtualization, database security
    
IBM APAC
Published By: Cisco     Published Date: Jun 24, 2015
This paper explores the main benefits of Cisco ACI Security.
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cisco aci security, csico, virtualization, integration, security, application integration, data center, ynified
    
Cisco
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