database growth

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Published By: Alacritech     Published Date: Aug 21, 2009
Customers are increasingly constrained by large transfers of data backup, long backup times to storage devices, and less efficient use of server resources as a result. System and database availability is heavily impacted during backup periods, and with the rapid growth of storage and the need to archive customer data, IT managers are actively seeking solutions for their backup problems.
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data backup, backup and recovery, storage, database availability, backup, recovery, servers, backup server
    
Alacritech
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
The relational database has been the foundation of enterprise data management for over thirty years. But the way we build and run applications today, coupled with unrelenting growth in new data sources and growing user loads are pushing relational databases beyond their limits. This can inhibit business agility, limit scalability and strain budgets, compelling more and more organizations to migrate to alternatives like MongoDB or NoSQL databases.
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rdbms, mongodb, migration, data, enterprise, management
    
AstuteIT_ABM_EMEA
Published By: AWS     Published Date: Jul 24, 2019
Add more value to your business Independent Software Vendors (ISVs) are turning to the cloud to modernize their applications and get rid of their commercial database dependencies to improve application performance, lower total cost of ownership (TCO), and reach new customers. DB Best delivers the established processes and technology ISVs need to accelerate the modernization of applications still running on commercial databases to Amazon Aurora. This enables your customers to quickly get up-and-running on the cloud and drive greater business value through Amazon Web Services (AWS). View the webinar to learn how DB Best and AWS enable you to accelerate every stage of your application modernization journey – from evaluating the right migration path for your application, to following a proven and repeatable database migration process, to driving growth and reaching more customers.
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AWS
Published By: Basho     Published Date: Apr 13, 2015
Today’s consumers expect instant access to communications services whether they’re in the office, at home, or on the road. With data speeds increasing and international roaming costs decreasing, data usage is rapidly growing. Telecommunications Service Providers (TSPs) are under pressure to deliver more services to more people and approach 100% uptime all while lowering prices to consumers. Traditional relational databases can’t meet the requirements for massive scalability, availability, and fault tolerance that the rapid growth in data usage and rise of big data demands. Read this solution brief to learn how Riak excels at these. Riak is a distributed NoSQL database optimized for big data. Riak meets many of the challenges you may be facing with your own service operations systems.
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riak, basho, telecommunications service provider, license fees, scalability, availability, data usage, big data
    
Basho
Published By: CDW     Published Date: Sep 17, 2014
You are being buried by data. Multimedia including videos, audio and photos. Unstructured data in presentations, documents and social media feeds. Even the voicemails and databases that used to be the primary residents of your storage system are growing beyond your ability to manage them effectively. How can you keep it all under control without buying an endless stream of disk and storage devices? Experts from EMC and other leading storage manufacturers discuss the very latest trends in storage solutions and how an effective application of storage strategy can help tame the information beast and keep performance and availability issues at bay. Attendees will learn: - What are the hidden drivers in storage growth - How businesses of all sizes can benefit from a tiered storage strategy - Why virtualization is penetrating every level of IT - What role SSD and flash will play in every storage environment - What to do now to improve storage utilization and save costs
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storage, tiering, performance, availability, media, feeds, system, netgear
    
CDW
Published By: Cisco     Published Date: Sep 16, 2015
We’re experiencing a disruptive period of data transformation—and managing today’s database infrastructures during this disruptive period is not only critically important, but also more challenging than ever. An historic growth in data and cutting-edge technology trends, like the Internet of Everything, is causing an explosion in connections and data creation that is reshaping everything we do.
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enterprise, policy-based, infrastructure, cloud, visibility, scalability, network architecture, network management
    
Cisco
Published By: Cloudian     Published Date: Feb 15, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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Cloudian
Published By: Cloudian     Published Date: Feb 20, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate.
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Cloudian
Published By: Cloudian     Published Date: Feb 21, 2018
We are critically aware of the growth in stored data volumes putting pressure on IT budgets and services delivery. Burgeoning volumes of unstructured data commonly drive this ongoing trend. However, growth in database data can be expected as well as enterprises capture and analyze data from the myriad of wireless devices that are now being connected to the Internet. As a result, stored data growth will accelerate. Object-based storage systems are now available that demonstrate these characteristics. While they have a diverse set of use cases, we see several vendors now positioning them as on-premises targets for backups. In addition, integration of object-based data protection storage with cloud storage resources is seen by these vendors as a key enabler of performance at scale, cost savings, and administrative efficiency.
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Cloudian
Published By: Clustrix     Published Date: Sep 04, 2013
Online advertising is a highly competitive and innovative market being driven to new levels by the rise of ad exchanges, real-time bidding alongside traditional ad networks. With advertisers increasingly buying one impression at a time, advertising market growth is soaring. If your database is the bottleneck limiting the growth of your advertising business, this is the white paper for you. Find out how Clustrix will give you access to functionality, such as ad segmentation and targeting based on up-to-the minute campaign performance, as well as instant access to smart data, so your clients can make the right buy decisions. This free whitepaper considers the technical challenges this rise presents for the database, and discusses the unique technology that enables Clustrix to solve these challenges and give your advertising business a competitive advantage.
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technology, clustrix, online advertising, real time bidding, database, analytics, it management, knowledge management
    
Clustrix
Published By: Datastax     Published Date: Aug 23, 2017
Part of the “new normal” where data and cloud applications are concerned is the ability to handle multiple types of data models that exist in the application and persist each in a single datastore. This data management capability is called a “multi-model” database. Chances are you are getting bogged down by various data models that require support — key-value, tabular, JSON/document and graph. This not only raises your operational expenses, but also slows down your time to market and ultimately revenue growth. Download this free white paper and explore the multi-model concept, its rationale, and how DataStax Enterprise (DSE) is the only database that can help accelerate building and powering distributed, responsive and intelligent cloud applications across multiple data models.
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cloud, data model, multi-model
    
Datastax
Published By: Dell EMC     Published Date: May 15, 2015
This SQL Database focused case study is based on Connections Education, an online US-based education leader. Learn how this online education leader chooses EMC XtremIO to manage unpredictably fast growth.
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emc, storage all-flash, array, architectures, workload, data center, scale, storage
    
Dell EMC
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: HP     Published Date: Aug 26, 2008
Microsoft SQL Server has enjoyed phenomenal success as a database server. Its relatively low cost, steadily increasing capabilities and ease of deployment have all combined to accelerate its growth. However, that same growth has led to a phenomenon commonly called SQL Server “sprawl”— the rampant, often uncontrolled, proliferation of SQL Server databases.
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sql, sql server, servers, server, server consolidation, consolidation, server sprawl, hp polyserve
    
HP
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the IBM® Optim™ Data Growth Solution provides proven technology and comprehensive capabilities that make archiving complex relational data both practical and desirable.
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ibm integrated data management, database growth, optim data growth solution, database archiving, idm, disaster recovery, database referential integrity, data management
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
The basic principles for managing an archiving project presented in this paper can help you initiate and plan an archiving strategy that meets your organization’s requirements.
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ibm integrated data management, peoplesoft, business critical erp applications, daily operations, database archiving, data growth, archiving project, data classification
    
IBM
Published By: IBM     Published Date: Sep 22, 2011
Companies need capabilities for identifying data assets and relationships, assessing data growth and implementing tiered storage strategies-capabilities that information governance can provide. It is important to classify enterprise data, understand data relationships and define service levels. Database archiving has proven effective in managing continued application data growth especially when it is combined with data discovery.
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ibm, application data, technology, enterprise, database archive, application integration, analytical applications, database development
    
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: 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: NetApp     Published Date: Dec 15, 2014
IT managers and line-of-business stakeholders are striving to increase efficiency of their application environments. The biggest challenges they face in supporting database environments are managing data growth and database size, and meeting database performance requirements. This ESG Lab Report documents the performance, reliability, availability, and serviceability of NetApp EF Series flash arrays in Oracle database environments.
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it managers, application environments, data growth, serviceability, performance, storage
    
NetApp
Published By: Oracle     Published Date: Apr 03, 2012
The 2011 IOUG Database Growth Survey, conducted in partnership with Oracle Corporation, includes input from 611 IOUG members and summarizes the survey results explore issues and solutions around managing fast-growing database environments.
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ioug, petabyte, database, security, growth, database environments, solutions, data management
    
Oracle
Published By: Oracle     Published Date: May 11, 2012
This report explains how the migration to the Exadata platform required no changes to system interfaces and allowed Turkcell to consolidate hardware and create a highly scalable framework to handle future growth.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs
    
Oracle
Published By: Oracle     Published Date: May 11, 2012
This TDWI Checklist Report makes a case for private database clouds, especially as a platform for consolidated BI and DW applications.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs
    
Oracle
Published By: Oracle     Published Date: May 11, 2012
This paper reviews Oracle GoldenGate's capabilities and how it can be used to achieve zero downtime migration and consolidation to Oracle Exadata.
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oracle, data warehousing, database, exadata, database machine, infrastructure, operation, operation costs
    
Oracle
Published By: Oracle     Published Date: Mar 22, 2018
Paris Lodron University Salzburg is the biggest educational institution in the Salzburg region of Austria. The university undertakes innovative research and sees itself as an internationally networked knowledge hub at the heart of Europe. An Oracle Exadata Database Machine was deployed for these applications in 2012. The objectives pursued at the time—uninterrupted operation, resource conservation, and reduction of the CO2 footprint—were fully achieved. Facing increasing growth and with the undertaking of specialized projects, Paris Lodron University was faced with the task of adapting its IT infrastructure to new requirements.
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Oracle
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