data system

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Published By: IBM     Published Date: Aug 08, 2016
In this solution brief, you'll learn how IBM Integration Bus enables you to: - Eliminate the need for point-to-point connectivity - Connect across an array of packaged applications and web services - Route and transform data in virtually any format so you can read, interpret and convert multiple data formats - Expose and extend back-end systems to mobile devices
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ibm, middleware, api economy, ibm integration bus, business agility
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization. It includes simple steps you can take to start exploring - and implementing - this strategy for handling the challenges of hybrid data environments.
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ibm, trusted data, data governance, governance, big data, hybrid data environments
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
This white paper describes how IBM’s Pure Data System for Analytics delivers speed and simplicity to help organizations become more responsive and agile in today’s increasingly mobile and data-driven market.
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ibm, ibm pure data system, big data, data analytics, analytics architecture
    
IBM
Published By: IBM     Published Date: Oct 13, 2016
Big Data has generated much interest and attention in the media of late. Indeed, several authors have recently raised the question of whether Big Data approaches, such as Hadoop, will pronounce the death sentence on the conventional data warehouse. In this survey we investigate the current state of the data warehouse and examine its recent challenger in the form of Big Data solutions as an alternative. Is the new technology really complementary or is the reign of the data warehouse nearing an end?
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ibm, ibm pure data system, big data, data analytics, analytics architecture, data warehouse
    
IBM
Published By: IBM     Published Date: Nov 17, 2016
In this solution brief, you'll learn how IBM Integration Bus enables you to: - Eliminate the need for point-to-point connectivity - Connect across an array of packaged applications and web services - Route and transform data in virtually any format so you can read, interpret and convert multiple data formats - Expose and extend back-end systems to mobile devices
Tags : 
ibm, middleware, api economy, ibm integration bus, business agility
    
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
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: 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: Jul 06, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. In many cases, these systems are no longer up to the task—so it’s time to make a decision. Do you use more staff to keep up with the fixes, patches, add-ons and continual tuning required to make your existing systems meet performance goals, or move to a new database solution so you can assign your staff to new, innovative projects that move your business forward?
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database, growth, big data, it infrastructure, information management
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
As organizations develop next-generation applications for the digital era, many are using cognitive computing ushered in by IBM Watson® technology. Cognitive applications can learn and react to customer preferences, and then use that information to support capabilities such as confidence-weighted outcomes with data transparency, systematic learning and natural language processing. To make the most of these next-generation applications, you need a next-generation database. It must handle a massive volume of data while delivering high performance to support real-time analytics. At the same time, it must provide data availability for demanding applications, scalability for growth and flexibility for responding to changes.
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database, applications, data availability, cognitive applications
    
Group M_IBM Q1'18
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
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database, streamlining, it infrastructure, database systems
    
Group M_IBM Q1'18
Published By: IBM     Published Date: Apr 03, 2018
Can your database systems handle data growth and keep up with performance requirements? Here are six reasons to change.
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database systems, data management, hybrid data
    
IBM
Published By: Egress ABM Pilot     Published Date: Oct 09, 2017
The EU General Data Protection Regulation (GDPR) represents a significant step change for data protection across EU member states. The EU GDPR also brings with it serious implications for organisations who suffer a breach. People will always make mistakes – and in busy and stressful workplaces such as banks and insurance firms the likelihood of this increases. Without the right processes and technologies in place to help avoid mistakes, sensitive client information remains at risk. This white paper provides financial services organisations with a four-step process to ensure compliance.
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data breach, it security, malicious spyware, security management, cloud security, system protection
    
Egress ABM Pilot
Published By: Egress ABM Pilot     Published Date: Oct 09, 2017
Patients trust healthcare organisations with vast amounts of their sensitive data – not just details on their medical and social wellbeing, but also personally identifiable information such as dates of birth and residential addresses. People will always make mistakes – and, unfortunately, in busy and stressful workplaces, such as hospitals and medical clinics, the likelihood of this increases. Without the right processes and technologies in place to help overcome this to avoid mistakes, sensitive patient information remains at risk.
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data breach, it security, malicious spyware, security management, cloud security, system protection
    
Egress ABM Pilot
Published By: Oracle     Published Date: Jan 28, 2019
Databases tend to hold an organization’s most important information and power the most crucial applications. It only makes sense, then, to run them on a system that’s engineered specifically to optimize database infrastructure. Yet some companies continue to run their databases on do-it-yourself (DIY) infrastructure, using separate server, software, network, and storage systems. It’s a setup that increases risk, cost, complexity, and time spent deploying and managing the systems, given that it typically involves at least three different IT groups.
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Oracle
Published By: CA WA 2     Published Date: Sep 29, 2008
Forrester evaluated leading Data Center Automation (DCA) solutions across approximately 80 criteria. CA was named as a leader in this Wave evaluation. The report states: “Recently, CA introduced its Data Center Automation Manager, which is part of its dynamic and virtual systems management solution and is directed at the automation of the data center.
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ca wa, computer associates, forrester, data center, datacenter, data center automation, dca
    
CA WA 2
Published By: ServiceNow     Published Date: Feb 07, 2012
Download the white paper to find out more about next-gen IT solutions - and how IT in the cloud will help your organization not only keep up with today's complex IT ecosystem, but manage it more efficiently than ever before!
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powering, transformation, cloud, investments, integration, access data, performance, revolution, ecosystem, manage, next-gen it, social media, build relationships, improve service, collaboration, post it, tag it, tweet it, like it, facebook
    
ServiceNow
Published By: Pentaho     Published Date: Aug 22, 2016
This white paper provides a concise overview of big data integration technologies, and reviews key things to consider when creating an integrated big data environment that blends new technologies with existing BI systems to meet your business goals.
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big data, data integration, bi systems, hadoop
    
Pentaho
Published By: Pentaho     Published Date: Aug 22, 2016
This white paper covers six guidelines product leaders should explore during their embedded analytics evaluation.
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big data, data integration, bi systems, hadoop
    
Pentaho
Published By: Forrester     Published Date: May 10, 2012
In the never-ending race to stay ahead of the competition, companies are developing advanced capabilities to store, process, and analyze vast amounts of data from social networks, sensors, IT systems, and other sources to improve business intelligence and decisioning capabilities.This report will help security and risk professionals understand how to control and properly protect sensitive information in this era of big data.
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data-centric security, information protection, information management, data protection, security, risk and compliance, data warehousing
    
Forrester
Published By: Teradata     Published Date: Jun 12, 2013
Until now, huge amounts of data have been ignored or underutilized simply because the tools didn't exist to make sense of it all. The good news is that increasingly sophisticated software is combining with growing computing horsepower to produce new analytics platforms that can handle all types of data from disparate systems Organizations can extract intelligence from their data to significantly outperform their rivals on growth, earnings, and performance.
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unified data architecture, big data, analytics, finance
    
Teradata
Published By: Teradata     Published Date: Jun 12, 2013
Download this paper to learn how Unified Data Architecture™ can bridge the gap between the business language of SQL, the extreme processing power of MapReduce, and the big data residing in Hadoop to provide a unified, high-performance big data analytics system for the enterprise.
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data, big data, unified data architecture, finance
    
Teradata
Published By: Teradata     Published Date: Jun 14, 2013
Download this paper for an in-depth look at how advances in mHealth technology and the use of biometric data analytics are important to improving the overall healthcare system.
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biometric data analysis, mobile healthcare, healthcare, mhealth, biometric data
    
Teradata
Published By: Oracle     Published Date: Sep 21, 2016
This white paper shows how to use your big data analytics and smooth procurement systems as a launchpad to holding your own in the Digital Age.
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Oracle
Published By: Oracle     Published Date: Jul 31, 2017
More than 75% of business leaders say their current ERP system doesn’t meet their requirements, let alone future plans. To enable today’s data-driven organization, the very foundation from which you are operating needs to be re-established; it needs to be “modernized”. To help you navigate your own journey to modernization, we’ve crafted this handbook series to share the knowledge gained working with many thousands of companies using both legacy and modern ERP systems.
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Oracle
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