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Published By: AWS     Published Date: Jul 25, 2019
What you'll learn in this webinar: Simplify the move from legacy commercial databases or niche database solutions to Amazon Web Services (AWS) with help from experts in database migration and automation software solutions from mLogica. Watch our webinar to hear how you can transform your legacy environment to an AWS cloud-native infrastructure by migrating to Amazon Aurora. Using mLogica’s fully automated, self-learning mLogica Database Migration Studio, and consultancy service, you can modernize your databases and applications without disrupting your daily operations. Join our webinar to learn how: mLogica helped TicketSocket unify and simplify its data and gain efficiencies of cost and scale You can move enterprise, mission-critical complex databases to AWS You can break free of commercial licensing obligations
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AWS
Published By: CloudHealth by VMware     Published Date: Feb 13, 2019
Choosing Azure revolutionizes your environment's agility, simplicity, and innovation, but have you achieved the cost savings you expected? Discover 10 ways you can reduce your spend in Azure, including: -Terminate Zombie Assets -Delete Aged Snapshots -Rightsize Virtual Machines -Rightsize SQL Databases Read 10 Best Practices for Reducing Spend in Azure, to learn key strategies for optimizing cloud spend and saving 10-20% on your monthly Azure costs.
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cloud management, microsoft azure, multicloud management
    
CloudHealth by VMware
Published By: CloudHealth by VMware     Published Date: Apr 15, 2019
Choosing Azure revolutionises your environment's agility, simplicity, and innovation, but have you achieved the cost savings you expected? Discover 10 ways you can reduce your spend in Azure, including: Terminate Zombie Assets Delete Aged Snapshots Rightsize Virtual Machines Rightsize SQL Databases Read 10 Best practices for Reducing Spend in Azure, to learn key strategies for optimising cloud spend and saving 10-20?% on your monthly Azure costs.
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CloudHealth by VMware
Published By: Progress Software     Published Date: Mar 12, 2014
For IT managers, choosing the wrong vendor can lead to disruption, high costs, and the loss of confidence from within the business. Learn how to de-risk your vendor selections by aligning with market trends.
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progress software, choosing vendors, datadirect, connectivity, saas applications, big data, data warehousing, nosql, newsql, and non-relational databases
    
Progress Software
Published By: IBM     Published Date: Jun 21, 2017
There are many types of databases and data analysis tools to choose from when building your application. Should you use a relational database? How about a key-value store? Maybe a document database? Is a graph database the right ft? What about polyglot persistence and the need for advanced analytics? If you feel a bit overwhelmed, don’t worry. This guide lays out the various database options and analytic solutions available to meet your app’s unique needs. You’ll see how data can move across databases and development languages, so you can work in your favorite environment without the friction and productivity loss of the past.
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data analysis, key value, document database, analytics
    
IBM
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
MongoDB is an open-source, document database designed with both scalability and developer agility in mind. MongoDB bridges the gap between key-value stores, which are fast and scalable, and relational databases, which have rich functionality. Instead of storing data in rows and columns as one would with a relational database, MongoDB stores JSON documents with dynamic schemas. Customers should consider three primary factors when evaluating databases: technological fit, cost, and topline implications. MongoDB's flexible and scalable data model, robust feature set, and high-performance, high-availability architecture make it suitable for a wide range of database use cases. Given that in many cases relational databases may also be a technological fit, it is helpful to consider the relative costs of each solution when evaluating which database to adopt.
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total, cost, ownership, comparison, mongodb, oracle
    
AstuteIT_ABM_EMEA
Published By: NexGen     Published Date: Feb 09, 2015
The nature of the financial services industry places a myriad of international compliance requirements on a company's IT team, as well as an expectation by its customers to deliver the high test levels of performance and reliability. To survive and thrive, businesses in the industry must not only keep pace with customer demand but gain competitive advantage. Those demands mean the IT team must be at the forefront of adopting emerging technologies. This is certainly true for Orangefield Columbus, who recently experienced significant growth in its multiple databases which led to the serious performance degradation of its existing storage system. By focusing on a proactive data management storage array, Orangefield was able to eliminate resource contention. Download now and examine Orangefield's journey to find a solution that would meet, and exceed, their performance and capacity requirements.
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nexgen, vmware, citrix, flash, financial services
    
NexGen
Published By: Box     Published Date: Jan 16, 2015
The nature of the financial services industry places a myriad of international compliance requirements on a company's IT team, as well as an expectation by its customers to deliver the high test levels of performance and reliability. To survive and thrive, businesses in the industry must not only keep pace with customer demand but gain competitive advantage. Those demands mean the IT team must be at the forefront of adopting emerging technologies. This is certainly true for Orangefield Columbus, who recently experienced significant growth in its multiple databases which led to the serious performance degradation of its existing storage system. By focusing on a proactive data management storage array, Orangefield was able to eliminate resource contention. Download now and examine Orangefield's journey to find a solution that would meet, and exceed, their performance and capacity requirements.
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nexgen, vmware, citrix, flash, financial services
    
Box
Published By: Epson     Published Date: May 14, 2018
Consumers worldwide continue to adopt and use technology in their shopping experience. Faced with rising customer expectations and increasing competitive pressures, retailers now are prioritizing in-store innovation. Many retailers have adopted multichannel implementations, in which mobile, web, and in-store shopping are enabled but not delivered consistently to the customer. The next step in this evolution is an omnichannel strategy, now being deployed by some retailers, which presents a consistent shopping experience across mobile, web, and in-store channels. Omnichannel also enables retailers to integrate back-end infrastructure technologies (e.g., servers, databases, etc.) and cloud-based services (e.g., loyalty programs, personalized recommendations, inventory management, etc.) to improve many aspects of store and enterprise operations. An omnichannel strategy relies on several core and supporting technologies. The key factors in evaluating any omnichannel-enabling solution includ
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Epson
Published By: Datastax     Published Date: May 20, 2019
Data management challenges have evolved drastically over the last decade, leading most companies to rethink how they manage their data. The need for more powerful and far more flexible databases resulted in the birth of the NoSQL database Apache Cassandra™. Read this white paper to learn how Cassandra has evolved and how it works.
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Datastax
Published By: Oracle Corp.     Published Date: Oct 15, 2012
Hear from Tammy Bednar, Senior Principal Product Manager at Oracle as she discusses best practices for database auditing, alerting and reporting across Oracle and non-Oracle databases using Oracle Audit Vault.
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database auditing, audits, compliance, database, oracle, database security
    
Oracle Corp.
Published By: MarkLogic     Published Date: Jun 09, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic
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MarkLogic
Published By: MarkLogic     Published Date: Nov 07, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic.
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MarkLogic
Published By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
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enterprise, nosql, relational, databases, data storage, management system, application, scalable
    
MarkLogic
Published By: CA Technologies EMEA     Published Date: Sep 07, 2018
There are five ways to provision test data. You can copy or take a snapshot of your production database or databases. You can provision data manually or via a spreadsheet. You can derive virtual copies of your production database(s). You can generate subsets of your production database(s). And you can generate synthetic data that is representative of your production data but is not actually real. Of course, the first four examples assume that the data you need for testing purposes is available to you from your production databases. If this is not the case, then only manual or synthetic data provision is a viable option. Download this whitepaper to find out more about how CA Technologies can help your business and its Test Data problems.
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CA Technologies EMEA
Published 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
Published By: CA Mainframe     Published Date: Sep 12, 2008
The CA Performance Management Handbook for DB2 for z/OS by renowned tuning experts Susan Lawson and Dan Luksetich of YL&A covers information to enhance your skills and raise awareness for databases performance management issues and tuning strategies. This supplement to the CA Performance Management Handbook provides specific information on which technologies apply to which issues and how CA Database Management addresses your most pressing database performance management challenges.
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ca mainframe, mainframe, apm, application performance management
    
CA Mainframe
Published By: IBM APAC     Published Date: Mar 19, 2018
MongoDB, one of the most popular NoSQL Open databases, helps you take advantage of exploding unstructured data with faster access to data and analytics while reducing your database cost. With the right infrastructure, you can benefit more. By running MongoDB on IBM Power systems, you can achieve: • ?Bring new apps to market faster and reduce the risk for mission-critical deployments • ?2.6x better performance for MongoDB at a much lesser cost than x86 Find out more about IBM Power Systems and MongoDB for today’s applications.
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IBM APAC
Published By: Devart     Published Date: Apr 22, 2011
The Right Way of Migrating MySQL Databases
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mysql, migrating, schema compare, data compare, databases, development, capital
    
Devart
Published By: Oracle ODA     Published Date: Aug 15, 2016
Businesses understand more than ever that they depend on data for insight and competitive advantage. And when it comes to data, they have always wanted easy access and fast performance. But how is the situation different now? Today, organizations want those elements and more. They want IT to strip away the limitations of time with faster deployment of new databases and applications. They want IT to reduce the limitations of distance by giving remote and branch offices better and more reliable access. And in a global world where business never stops, they want IT to ensure data availability around the clock. If IT can deliver databases and applications faster, on a more automated and consistent basis, to more locations without having to commit onsite resources, IT will be free to focus on more strategic projects.
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Oracle ODA
Published By: Pentaho     Published Date: Mar 08, 2016
If you’re evaluating big data integration platforms, you know that with the increasing number of tools and technologies out there, it can be difficult to separate meaningful information from the hype, and identify the right technology to solve your unique big data problem. This analyst research 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. Read the Buyer’s Guide to Big Data Integration by CITO Research to learn: • What tools are most useful for working with Big Data, Hadoop, and existing transactional databases • How to create an effective “data supply chain” • How to succeed with complex data on-boarding using automation for more reliable data ingestion • The best ways to connect, transport, and transform data for data exploration, analytics and compliance
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data, buyer guide, integration, technology, platform, research
    
Pentaho
Published By: IBM     Published Date: Jun 21, 2017
Today, it’s unlikely that a single database will meet all your needs. For a variety of reasons—including the need to support cloud-scale solutions and increasingly dynamic app ecosystems—startups and enterprises alike are embracing a wide variety of open source databases. These varied databases—including MongoDB, Redis and PostgreSQL— open doors to building sophisticated and scalable applications on battle-hardened, non-proprietary databases.
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ibm, data base, cloud, scalability, app ecosystem
    
IBM
Published By: CA Technologies EMEA     Published Date: May 23, 2018
To move your business from its current state to the connected enterprise, you have to define a common API to your database and other systems, while providing the infrastructure to support the new model. The new systems must incorporate the security safeguards while ensuring the infrastructure can support the new growing, but variable, load. With the rapid adoption of mobile and web-based services across the industry, the REST architecture has emerged as the de facto standard for API integration across systems. This white paper addresses the concepts of REST, creating REST APIs for your databases and integrating with other systems: • What is REST? • Why use REST for database access? • Building REST infrastructure for database access • The REST enabled database • Integrating REST with other services • Criteria for selecting REST services platform
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CA Technologies EMEA
Published By: Cohesity     Published Date: Aug 09, 2019
In a context of mass data fragmentation on-premises and in the cloud, organizations now struggle with the compounded complexities brought about by modern workloads such as containers, NoSQL/NewSQL databases, and SaaS applications. These new workloads are turning traditional backup and recovery approaches on their head—in particular, in Microsoft Office 365 deployments for which new backup, recovery, and data management schemas must be deployed.
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Cohesity
Published By: McAfee     Published Date: Mar 08, 2013
Databases store companies’ most valuable information assets, but in most cases they’re poorly protected. It’s important to secure databases as well as or better than other systems in the enterprise. But it’s not that simple.
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real-time database monitoring, database authentication, database access control, database activity monitoring, database intrusion prevention, authentication and access control, database security
    
McAfee
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