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data systems

Results 251 - 275 of 836Sort Results By: Published Date | Title | Company Name
Published By: Stratoscale     Published Date: Feb 01, 2019
This eBook offers a practical hands-on guide to “Day Two” challenges of accelerating large-scale PostgreSQL deployments. 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. After a PostgreSQL deployment is live, there are a variety of day-two scenarios that require planning and strategizing. The third section of this eBook provides a detailed analysis of all aspects accelerating large-scale PostgreSQL deployments: ? Backups and Availability: strategies, point-in-time recovery, availability and scalability ? Upgrades and DevOps: PostgreSQL upgrade process, application upgrades and CI/CD
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Stratoscale
Published By: Stratoscale     Published Date: Feb 01, 2019
This eBook offers a practical hands-on guide to deploying, managing and scaling PostgreSQL in various environments, in the public cloud and on-premises. 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. The eBook provides a detailed analysis of planning, day-one, and day-two challenges of PostgreSQL deployments, in the context of potential operating environments: ? Public cloud ? Private cloud ? Private DC (bare metal / VM)
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Stratoscale
Published By: Dassault Systèmes     Published Date: Jul 21, 2017
Product Lifecycle Management (PLM) software can help your company keep up with the increasing complexity of developing today’s high-tech products. While smaller companies may use relatively simple Product Data Management (PDM) tools, larger companies rely on full-featured PLM systems that help automate processes and share data across global supply chains. Mid-size companies can feel stuck because PDM is too basic, but PLM feels out of reach. This resource will help you: • Recognize why “simple” solutions fall short and do not support your capabilities • Better connect to customers and the supply chain • Drive higher product development speed • Get started with the right PLM solution Midsize manufacturers need a system that quickly delivers the core capabilities they need to streamline product development but also gives them room to grow value over time. So, what’s the right size PLM to fit a midsized high-tech company? Download this resource and take a look.
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product solutions, lifecycle management, tech products, data management tools, pdm, plm, process automation, product development speed, manufactures
    
Dassault Systèmes
Published By: Here Technologies     Published Date: Apr 02, 2019
In this report, VSI applies HERE’s HD map data to a lane keeping application and examines performance of lane keeping with a map-based approach compared to a camera and computer vision-based approach. VSI tested the lane keeping system with and without map data on a local road in 3 scenarios: Lane lines expanding into a turn or exit lane An intersection without lane lines A widening in the lane The results show that in all scenarios, the computer-vision-only lane keeping systems got confused and made errors in a vehicle’s trajectory when lane markings were out of the ordinary or invisible. Faced with the same road conditions, the map-based lane keeping system stayed within the desired trajectory outperforming the compute- vision-only systems. This report proves that using a lane model from an HD map can solve common issues involved in computer-vision-only lane keeping.
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over the air technologies, location data, auto, mapping
    
Here Technologies
Published By: NAVEX Global     Published Date: Jul 17, 2017
The 2017 EMEA & APAC Whistleblower Hotline Benchmark report was produced with data from companies of all sizes and industries across the region. Use the findings to put your company’s whistleblowing report data in context or gain organisational alignment to start your whistleblower programme. Use this report to answer questions like: • Am I getting too few or too many reports compared to like-sized companies? • Is my organisation following up on cases in an appropriate timeframe? • How can I more effectively follow-up on anonymous reports?
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emea, apac, ethics, whistleblowing, incident management, reporting data, case closure, reporting systems, anti-retaliation
    
NAVEX Global
Published By: Infor     Published Date: Mar 07, 2017
Big data is more than a buzz word. In recent years, analytics systems have quickly become an essential tool for businesses to gather and interpret various forms of information.
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Infor
Published By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics.
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Pure Storage
Published By: Cloud Direct     Published Date: Jan 17, 2018
Azure Site Recovery replicates your on-premises physical servers and virtual machines to Azure. If an outage occurs in your primary location, you failover to the DRaaS platform within minutes and your applications and workloads will be available. When normal operations resume, you can failback to your primary location. For added reassurance, Cloud Direct is a Microsoft Gold Partner. This means in addition to our own 24/7 support, we also benefit from direct access to Microsoft support for a range of hosting scenarios – including SQL Server, Exchange and SharePoint.
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business, cloud solutions, data centre, smb, systems, technical
    
Cloud Direct
Published 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.
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ibm, data, performance, scalability, information integration, big data, enterprise applications
    
IBM
Published By: IBM     Published Date: Feb 22, 2016
This e-book describes how a data refinery can make trusted data available quickly and easily to people and systems across your organization.
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ibm, data, big data, hybrid, refined data, data refinery, enterprise applications
    
IBM
Published By: IBM     Published Date: Apr 18, 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 optim, big data, hybrid data environments
    
IBM
Published By: IBM     Published Date: Apr 22, 2016
This white paper explains the value of putting data and insight to work to accelerate an organization’s journey to becoming a Cognitive Business, by enhancing their investments in data and analytics and realizing new opportunities from cognitive systems that understand, reason and learn.
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ibm, ibm analytics, cognitive business, watson, think data, enterprise applications
    
IBM
Published By: IBM     Published Date: Jul 06, 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 optim, big data, hybrid data environments, data center
    
IBM
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, enterprise applications
    
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, data center
    
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
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ibm, middleware, api economy, ibm integration bus, business agility, enterprise applications
    
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: 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
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: 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, network management
    
CA WA 2
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
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