dbms

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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: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
Seit über 30 Jahren basiert die Datenverwaltung in Unternehmen auf relationalen Datenbanken. Doch die modernen Verfahren für die Entwicklung und den Betrieb von Anwendungen in Kombination mit der rasant steigenden Zahl neuer Datenquellen und den immer umfangreicheren Workloads der Anwender übersteigen zunehmend die Möglichkeiten relationaler Datenbanken. Die dadurch entstehenden Einschränkungen im Hinblick auf die Flexibilität und Skalierbarkeit sowie die steigenden finanziellen Belastungen bewegen mehr und mehr Unternehmen dazu, zu alternativen Datenbanken wie MongoDB oder NoSQL zu migrieren.
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leitfaden, fur, die, migration, von, einem, rdbms, mongodb
    
AstuteIT_ABM_EMEA
Published By: Cloudant, an IBM Company     Published Date: May 15, 2014
Learn how a Cloudant account can be hosted within a multi-tenant Cloudant cluster, or on a single-tenant cluster running on dedicated hardware hosted within a top-tier cloud provider like Rackspace or IBM SoftLayer.
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cloudant, cloud, cloud computing, data layer, dbms, dsaas, saas, data replication, data delivery
    
Cloudant, an IBM Company
Published By: Data Stax     Published Date: Apr 27, 2012
This paper examines key data management challenges facing modern businesses and explains how DataStax Enterprise provides the first post-relational database solution to handle real-time, analytic, and search data without using RDBMS solutions.
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datastax, data stax, data management, database management, database, enterprise, search data, rdbms, post-relational
    
Data Stax
Published By: DataDirect Technologies     Published Date: Mar 17, 2009
Since the SQL Access Group created the Call Level Interface, ODBC has become the most ubiquitous method for connecting to relational database sources. ODBC was developed to allow programmers to access relational data in a uniform manner, regardless of the database backend. ODBC translates those generic commands into the specific esoteric commands of the database backend, so the quality of the driver directly determines the performance of the database connectivity layer. Learn more today!
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data direct, open database, sql, call level interface, odbc, drivers, rdbms, 64-bit applications, single architecture, power consumption, rack space, scalability, oracle rac, database availability, service level agreements, slas, software development
    
DataDirect Technologies
Published By: Datastax     Published Date: Aug 07, 2018
Relational databases had their day and are still viable for certain use cases, but the advent of the cloud and subsequent proliferation of cloud applications is putting an almost unmanageable burden on their capabilities. Read this eBook to learn why your RBMS fails at scale, and why it's no longer a viable option for today's distributed, super fast-paced, cloud-friendly world.
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Datastax
Published By: Datastax     Published Date: Aug 15, 2018
"As an Enterprise Architect (or an aspiring one), your job is to help define, build, and manage your company's technology architecture for its single most important asset - its information - in order to meet your company's business goals. Read this comprehensive guide to learn the ins and outs of designing data management architectures to manage mixed workloads at scale."
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Datastax
Published By: Datastax     Published Date: Apr 08, 2019
For decades, organizations relied on traditional relational database management systems (RDBMS) to organize, store, and analyze their data. But then Facebook came along, and an RDBMS was suddenly not quite enough. The social giant needed a powerful database solution for its Inbox Search feature, and Apache Cassandra—a distributed NoSQL database—was born. Released as an open source project in July 2008, Cassandra—named after the mythological prophet who famously put a curse on an oracle—became an Apache Incubator project in March 2009. It graduated to a top-level project in February 2010
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Datastax
Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
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database usage, database management, server usage, data protection
    
Hewlett Packard Enterprise
Published By: IBM     Published Date: Mar 05, 2014
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, ibm big sql, sql, database management, database management technology, software, tables, queries, data platform, big sql architecture, programming language, relational database management system, rdbms
    
IBM
Published By: IBM     Published Date: May 02, 2014
This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, it management
    
IBM
Published By: IBM     Published Date: May 17, 2016
Analyst Mike Ferguson of Intelligent Business Strategies writes about the enhanced role of transactional DBMS systems in today's world of Big Data. Learn more about how Big Data provides richer transactional data and how that data is captured and analyzed to meet tomorrow’s business needs. Access the report now.
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ibm, intelligent business solutions, big data, transaction data, business analytics
    
IBM
Published By: IBM     Published Date: Sep 30, 2016
Securing sensitive data presents a multi-dimensional challenge where complex environments—which often include a wide range of heterogeneous database management systems (DBMS), enterprise applications, big data platforms, file systems, OS platforms with multiple access paths and permission levels—have created a seemingly end-less array of security risks and violation scenarios. This data security ebook examines the top 5 scenarios and essential best practices for defending against insider threats and external attacks.
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ibm, data, big data, safeguard, sensitive data, security, dbms, data management, knowledge management, business technology
    
IBM
Published By: IBM APAC     Published Date: Mar 19, 2018
IDC Analyst Report: A New Breed of Servers for Digital Transformation Most organizations today are on a digital transformation journey and a server infrastructure is a critical component of that journey. Read the IDC Analyst Report “A New Breed of Servers for Digital Transformation" to find out: • A roadmap for servers in three stages - from running simple stateless web applications to adopting open source DBMSs to cloud to predictive modeling • How you can take advantage of OpenPOWER-based infrastructure from a price/performance perspective • Ways to lower your IT spend and increase your workloads with minimal investment
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IBM APAC
Published By: MarkLogic     Published Date: Nov 08, 2016
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. Download now to learn more.
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MarkLogic
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: Nov 30, 2017
The OPDBMS market in 2017 brings cloud and fully managed options center stage for execution. Market-defining vision includes features for machine learning, serverless scenarios and streaming integration. Data and analytics leaders must balance current and future needs against this market landscape.
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MarkLogic
Published By: McAfee     Published Date: Feb 06, 2013
Protecting the valuable and confidential information stored within databases is vital for maintaining the integrity and reputation of organizations everywhere, and for ensuring regulatory compliance.
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vulnerability management, database security, dbms security, database activity monitoring, virtual patching, virtual patching for databases
    
McAfee
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: McAfee     Published Date: Mar 08, 2013
Compliance does not automatically equate to security. A company may be compliant with a host of regulatory requirements, while its databases remain exposed and vulnerable. Learn how McAfee Database Security can help prevent such vulnerabilities.
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database security, database compliance, native dbms auditing, database protection, database password audit, database activity monitoring, pci dss, sarbanes-oxley, hipaa, hitech, ssae
    
McAfee
Published By: Microsoft     Published Date: Oct 06, 2017
After rapid expansion of vendors and features, players in the operational DBMS market continue converging toward feature parity. Data and analytics leaders will be interested in the lack of Visionaries, competition in the Challengers quadrant and the maturing cloud capabilities among these vendors.
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data management, data system, business development, software integration, resource planning, enterprise management, data collection
    
Microsoft
Published By: NetApp     Published Date: Mar 05, 2018
By 2018, more than 70% of new DBMS deployments will leverage cloud for at least one use case. Read the Gartner report State of the Operational DBMS Market, 2017 and get the latest insights and recommendations on DBMS strategy. Discover how to: •Evaluate modern data management capabilities before adopting new DBMS products •Lead a nonrelational technology assessment to determine which DBMS best meets your business requirements • Deploy a multimodel DBMS and reduce complexity in your data center
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netapp, database performance, flash storage, data management, cost challenges
    
NetApp
Published By: NetApp     Published Date: Sep 04, 2018
Learn why Gartner believes that more than 70% of new DBMS deployments will leverage the cloud for at least one use case by 2018. Find out how to assess modern data management capabilities and determine which DBMS best meets your business requirements.
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NetApp
Published By: Objectivity     Published Date: Aug 21, 2009
There is often a great deal of confusion in determining whether an object database management system (ODBMS) is right for you. Most of this confusion can be resolved by focusing on your application's requirements. In those situations where the application requires the very clear advantages of an ODBMS, choosing which ODBMS becomes a continuation of the exercise of analyzing those application requirements.
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database performance, object-oriented, database development, objectivity, software development
    
Objectivity
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