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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: McAfee     Published Date: Mar 08, 2013
Learn about McAfee Database Security solutions, compliance and security requirements, and principles for protecting your database.
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database security, native dbms auditing, sarbanes-oxley, pci dss, hipaa, sas 70, ssae 16, database compliance, database activity monitoring, database vulnerability management, pci audit
    
McAfee
Published By: Oracle Corporation     Published Date: Apr 01, 2013
Discover how to accelerate database performance, handle change and growth in scalable, incremental steps, and deliver mission-critical data availability and protection with this unique commercial solution.
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database, oracle, storage, data, data warehousing
    
Oracle Corporation
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: Group M_IBM Q2'19     Published Date: Apr 25, 2019
Learn how IBM InfoSphere Virtual Data Pipeline enables developers and DBAs to instantly provision or refresh database copies, regardless of size, on-premises or in any cloud; integrate database copy creation and presentation with developer tools like IBM UrbanCode, Chef, Puppet, Ansible or Salt; and deliver database copies while ensuring that all security policies are maintained including access controls, masking and encryption. With a combination of real-world customer examples and live demonstration, this session will provide a practical understanding of the InfoSphere VDP solution, the business and technical impact delivered, and how to get started quickly.
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Group M_IBM Q2'19
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: IBM     Published Date: Mar 29, 2017
One of the biggest changes facing organizations making purchasing and deployment decisions about analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A couple of years ago, only a few organizations selected such cloud analytic databases. Today, according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at least one data warehouse or mart deploying in the cloud.
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cloud, analytics, data, organization, ibm
    
IBM
Published By: Group M_IBM Q119     Published Date: Mar 04, 2019
One of the biggest changes facing organizations making purchasing and deployment decisions about analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A couple of years ago, only a few organizations selected such cloud analytic databases. Today, according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at least one data warehouse or mart deploying in the cloud.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Mar 11, 2019
One of the biggest changes facing organizations making purchasing and deployment decisions about analytic databases — including relational data warehouses — is whether to opt for a cloud solution. A couple of years ago, only a few organizations selected such cloud analytic databases. Today, according to a 2016 IDC survey, 56% of large and midsize organizations in the United States have at least one data warehouse or mart deploying in the cloud
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Group M_IBM Q119
Published By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
One of the biggest changes faces organizations making purchasing and deployment decisions about analytic databases -- including relational data warehouses -- is whether to opt for a cloud solution.
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Group M_IBM Q2'19
Published By: McAfee     Published Date: Mar 07, 2013
McAfee delivers a complete database security solution that protects your entire database environment efficiently and cost effectively, while maintaining optimum system performance and availability.
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database security, database security compliance, database activity monitoring, virtual patching for databases, database compliance audit, database regulatory compliance, database vulnerability management, database vulnerabilities, sql injection, buffer overflow, insecure sql code
    
McAfee
Published By: McAfee     Published Date: Mar 08, 2013
McAfee delivers a complete database security solution that protects your entire database environment efficiently and cost effectively, while maintaining optimum system performance and availability.
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database security, database security compliance, database activity monitoring, virtual patching for databases, database compliance audit, database regulatory compliance, database vulnerability management, database vulnerabilities, sql injection, buffer overflow, insecure sql code
    
McAfee
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: 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, service level agreements, slas, ibm optim data growth solution
    
IBM
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, backup servers, data transfer, alacritech
    
Alacritech
Published By: IBM     Published Date: May 28, 2014
Different types of data have different data retention requirements. In establishing information governance and database archiving policies, take a holistic approach by understanding where the data exists, classifying the data, and archiving the data. IBM InfoSphere Optim™ Archive solution can help enterprises manage and support data retention policies by archiving historical data and storing that data in its original business context, all while controlling growing data volumes and improving application performance. This approach helps support long-term data retention by archiving data in a way that allows it to be accessed independently of the original application.
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ibm, data retention, information governance, archiving, historical data, integrating big data, governing big data, integration, best practices, big data, ibm infosphere, it agility, performance requirements, hadoop, scalability, data integration, big data projects, high-quality data, leverage data replication, data persistence
    
IBM
Published By: Basho     Published Date: Apr 07, 2015
bet365 is one of the world’s leading online gambling groups with over 14 million customers in two hundred countries. Recently, bet365 chose Riak, the NoSQL distributed database to ensure scalability and reliability for their site. Get a better understanding of how to choose the right database solution directly from Dan Macklin, Head of Research and Development at bet365. Join us for this On Demand webinar to learn about: • bet365's evaluation process • The business and technical challenges addressed • Triumphs achieved by migrating to Riak • Lessons learned and Dan Macklin's advice for anyyone evaluating their database requirements Download to watch this On-Demand webinar to learn why Riak chose bet365.
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basho, riak, database infrastructure, bet365, unstructured data
    
Basho
Published By: IBM     Published Date: Apr 20, 2017
IBM QRadar and BigFix solutions empower IT security teams to view, prioritize and respond to endpoint intelligence in near real time. How can an organization stay ahead of these advanced security threats? Maintaining a high level of baseline security by consistently enforcing security policies and patch levels on endpoints and servers is definitely required and important. But when networks can have multiple vulnerabilities per IP address at scan time, the slow process of mitigating and patching these weaknesses can result in dangerous security gaps. Today’s IT personnel have to make difficult, risk-based decisions on where to focus their efforts—often without having a complete picture of the security environment. This is even more critical when the number of vulnerabilities across the organization is increasing while the organization has limited resources and skills to fix the vulnerabilities.
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risk management, vulnerability management, asset security, database accuracy, enterprise security, security solutions
    
IBM
Published By: IBM     Published Date: Apr 24, 2017
IBM QRadar and BigFix solutions empower IT security teams to view, prioritize and respond to endpoint intelligence in near real time. How can an organization stay ahead of these advanced security threats? Maintaining a high level of baseline security by consistently enforcing security policies and patch levels on endpoints and servers is definitely required and important. But when networks can have multiple vulnerabilities per IP address at scan time, the slow process of mitigating and patching these weaknesses can result in dangerous security gaps. Today’s IT personnel have to make difficult, risk-based decisions on where to focus their efforts—often without having a complete picture of the security environment. This is even more critical when the number of vulnerabilities across the organization is increasing while the organization has limited resources and skills to fix the vulnerabilities.
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risk management, vulnerability management, asset security, database accuracy, enterprise security, security solutions
    
IBM
Published By: McAfee     Published Date: Mar 07, 2013
HIPAA and HITECH require individually identifiable protected health information (PHI) be secured. The unfortunate reality for IT professionals is that these acts of Congress aren't prescriptive regarding what needs to be done about computer systems.
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best database security solution, database activity monitoring, hipaa compliance, hitech compliance, phi, ephi, vulnerability manager for databases
    
McAfee
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: IBM     Published Date: Oct 01, 2013
In-depth Comparison of IBM Smart Analytics System 7700,Teradata Active Enterprise Data Warehouse and Oracle Exadata Database Machine.
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ibm, ibm smart analytics system, ibm smart analytics system 7700, it solutions, data warehouse, database, data management system, data mangementent, enterprise warehouse solutions, warehouse solutions
    
IBM
Published By: Vertica     Published Date: Feb 01, 2010
How the Vertica Analytic Database is powering the new wave of commercial software, SaaS and appliance-based applications and creating new value and competitive differentiation for solution developers and their customers.
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vertica, ec2, cdr, elastic, saas, cloud computing, data management, ad-hoc, business intelligence, cloud, cloudbased applications, analytic, saas, dbms, mpp
    
Vertica
Published By: Oracle     Published Date: Aug 02, 2018
T raditional backup systems fail to meet the needs of modern organizations by focusing on backup, not recovery. They treat databases as generic files to be copied, rather than as transactional workloads with specific data integrity, consistency, performance, and availability requirements. Additionally, highly regulated industries, such as financial services, are subject to ever?increasing regulatory mandates that require stringent protection against data breaches, data loss, malware, ransomware, and other risks. These risks require fiduciary?class data recovery to eliminate data loss exposure and ensure data integrity and compliance. This book explains modern database protection and recovery challenges (Chapter 1), the important aspects of a database protection and recovery solution (Chapter 2), Oracle’s database protection and recovery solutions (Chapter 3), and key reasons to choose Oracle for your database protection and recovery needs (Chapter 4).
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Oracle
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