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Published By: IBM     Published Date: Aug 30, 2017
DevOps (short for development and operations), like most new approaches, is only a buzzword for many people. Everyone talks about it, but not everyone knows what it is. In broad terms, DevOps is an approach based on lean and agile principles in which business owners and the development, operations, and quality assurance departments collaborate to deliver software in a continuous manner that enables the business to more quickly seize market opportunities and reduce the time to include customer feedback. Indeed, enterprise applications are so diverse and composed of multiple technologies, databases, end-user devices, and so on, that only a DevOps approach will be successful when dealing with these complexities. Opinions differ on how to use it, however. Some people say that DevOps is for practitioners only; others say that it revolves around the cloud. IBM takes a broad and holistic view and sees DevOps as a business-driven software delivery approach  — an approach that takes a new or en
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devops, ibm, quality assurance, end-user devices, customer engagement
    
IBM
Published By: IBM APAC     Published Date: Mar 19, 2018
To support ongoing expansion and transformation, the Froedtert & MCW health network needed to boost system performance and upgrade its electronic health record software. The organization migrated to IBM® FlashSystem® and IBM Power® E870, which helped them increase their storage density by 22x and reduced cut in read-time for EHR databases by 50%.
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IBM APAC
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: Infinidat EMEA     Published Date: May 14, 2019
Databases represent the backbone of most organizations. And Oracle databases in particular have become the mainstream data repository for most mission-critical environments. Some of the largest companies and organizations in the world rely on Oracle databases to store their most important data. The biggest challenge organizations face relative to an Oracle database is to maintain these databases at optimum performance and reliability without breaking the bank. This paper discusses the storage capabilities customers should consider when choosing storage to support an Oracle database environment.
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Infinidat EMEA
Published By: Intel     Published Date: Apr 16, 2019
Gartner predicts that the public cloud market will surpass USD 300 billion by 2021 . With the big players (Amazon, Google, Microsoft and IBM) taking home 63 percent of the market share , how will next wave CSPs stand out from the crowd? Download Intel's latest whitepaper, Differentiating for Success: A Guide for Cloud Service Providers' to discover how to offer unique services, including: - Providing workload-specific optimizations, for example machine learning or high-performance computing - Targeting a particular geographical area - Focusing on an industry, such as financial services - Delivering emerging technology, such as virtual reality, in-memory databases, and containerization
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Intel
Published By: Internap     Published Date: Dec 02, 2014
NoSQL databases are now commonly used to provide a scalable system to store, retrieve and analyze large amounts of data. Most NoSQL databases are designed to automatically partition data and workloads across multiple servers to enable easier, more cost-effective expansion of data stores than the single server/scale up approach of traditional relational databases. Public cloud infrastructure should provide an effective host platform for NoSQL databases given its horizontal scalability, on-demand capacity, configuration flexibility and metered billing; however, the performance of virtualized public cloud services can suffer relative to bare-metal offerings in I/O intensive use cases. Benchmark tests comparing latency and throughput of operating a high-performance in-memory (flash-optimized), key value store NoSQL database on popular virtualized public cloud services and an automated bare-metal platform show performance advantages of bare-metal over virtualized public cloud, further quant
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internap, performance analysis, benchmarking, nosql, bare-metal, public cloud, infrastructure, on demand capacity
    
Internap
Published By: MarkLogic     Published Date: Dec 03, 2014
So many people are realising that yesterday’s technology can’t support today’s fast-changing data and are turning to a new generation of database: NoSQL. NoSQL makes it easy to consolidate your heterogeneous data and consolidate disparate data silos because you don’t need to make data conform to the row-and-column restrictions of relational technology. Get a head start and download Enterprise NoSQL for Dummies and discover: • The NoSQL lingo • What it does and how it works • How it can be used • Tips for what to look for in an Enterprise NoSQL database Go beyond relational and learn how NoSQL allows you to build applications with greater ease and speed! http://info.marklogic.com/nosql-for-dummies.html
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enterprise, nosql, relational, databases, data storage, management system, application, scalable
    
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: MarkLogic     Published Date: Mar 17, 2015
You’ve probably heard about NoSQL, and you may wonder what it is. NoSQL represents a fundamental change in the way people think about storing and accessing data, especially now that most of the information generated is unstructured or semi-structured data — something for which existing database systems such as Oracle, MySQL, SQLServer, and Postgres aren’t well suited. NoSQL means a release from the constraints imposed on database management systems by the relational database model. This free eBook, Enterprise NoSQL for Dummies, MarkLogic Special Edition, provides an overview of NoSQL. You’ll start to understand what it is, what it isn’t, when you should consider using a NoSQL database instead of a relational database management system and when you may want to use both. In addition, this book introduces enterprise NoSQL and shows how it differs from other NoSQL systems, as well as explains when NoSQL may not be the right solution for your data storage problem. You’ll also learn the NoSQ
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enterprise, nosql, relational, databases, data storage, management system, application, scalable
    
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: Jun 09, 2017
This eBook explains how databases that incorporate semantic technology make it possible to solve big data challenges that traditional databases aren’t equipped to solve. Semantics is a way to model data that focuses on relationships, adding contextual meaning around the data so it can be better understood, searched, and shared. Read this eBook, discover the 5 steps to getting smart about semantics, and learn how by using semantics, leading organizations are integrating disparate heterogeneous data faster and easier and building smarter applications with richer analytic capabilities.
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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 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: MarkLogic     Published Date: Nov 07, 2017
This eBook explains how databases that incorporate semantic technology make it possible to solve big data challenges that traditional databases aren’t equipped to solve. Semantics is a way to model data that focuses on relationships, adding contextual meaning around the data so it can be better understood, searched, and shared. Read this eBook, discover the 5 steps to getting smart about semantics, and learn how by using semantics, leading organizations are integrating disparate heterogeneous data faster and easier and building smarter applications with richer analytic capabilities.
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MarkLogic
Published By: McAfee     Published Date: Nov 14, 2012
Real-Time Database Monitoring, Auditing, and Intrusion Prevention Databases store an enterprise's most valuable information assets, but in most organizations they are poorly protected. It's common sense to secure databases, but it's not that simple.
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database monitoring, auditing, intrusion prevention, database, mcafee
    
McAfee
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
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: Jul 20, 2018
At its Build conference in May, Microsoft took the wraps off Cosmos DB, the new incarnation of its existing cloud-based Azure DocumentDB NoSQL database. With a nod to the dramatic, Microsoft terms Cosmos DB as its biggest database bet since SQL Server; it is positioning it as its flagship cloud database, suited for use cases ranging from security and fraud detection, to IoT (consumer and industrial), personalization, e-commerce, gaming, social networks, chats, messaging, bots, oil and gas recovery and refining, and smart utility grids. Cosmos DB is a good example of how cloud platform providers are rethinking databases for scalable, elastic environments and commodity infrastructure. The platform that is most comparable is Google Cloud Spanner, but each of these databases is engineered for different purposes: Cosmos DB as a globally distributed operational database and Spanner as a globally distributed SQL-supporting OLTP database. The highlights of Cosmos DB include its flexibility in
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Microsoft
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: Oracle     Published Date: Mar 09, 2017
In this white paper, IDC discusses the inherent difficulties associated with traditional backup schemes and the changing dynamics of data protection strategies. We examine Oracle's Zero Data Loss Recovery Appliance (ZDLRA) and the role it can play in providing significantly improved service levels for all types of Oracle databases.
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Oracle
Published By: Oracle     Published Date: Mar 22, 2018
s your information technology (IT) organization pressured to get more work done with fewer people or on a constricted budget? Do you need to make IT a competitive asset rather than a cost center? Does your business struggle with slow software applications or data that's too often unavailable? If you answered "yes" to any of these questions, it's time to take a close look at Oracle Exadata, the world's fastest database machine exclusively designed to run Oracle Database. It is the first database machine optimized for data warehousing, online transaction processing (OLTP), and database consolidation workloads as well as in-memory databases and database as a service (DBaaS).
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Databases have long served as the lifeline of the business. Therefore, it is no surprise that performance has always been top of mind. Whether it be a traditional row-formatted database to handle millions of transactions a day or a columnar database for advanced analytics to help uncover deep insights about the business, the goal is to service all requests as quickly as possible. This is especially true as organizations look to gain an edge on their competition by analyzing data from their transactional (OLTP) database to make more informed business decisions. The traditional model (see Figure 1) for doing this leverages two separate sets of resources, with an ETL being required to transfer the data from the OLTP database to a data warehouse for analysis. Two obvious problems exist with this implementation. First, I/O bottlenecks can quickly arise because the databases reside on disk and second, analysis is constantly being done on stale data. In-memory databases have helped address p
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Your enterprise runs its critical applications on Oracle Databases, and as an enterprise IT leader, maintaining the performance and availability of your databases is among your top priorities. Any degradation in performance or loss of data could result in serious business disruption and loss of revenue, so protecting this vital asset is a must. There are many causes of data loss— administration errors, system or media failures, cyberattacks, and more—but we often overlook design flaws in the very systems meant to protect data: general-purpose backup systems. Many existing data protection solutions fail to meet the demands of critical databases because they treat them as generic files to copy as opposed to specialized resources. Taking a generic approach to database backup and recovery not only exposes you to the risk of data loss, it also negatively impacts performance and makes it difficult to recover within acceptable timeframes.
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
In this white paper, IDC discusses the inherent difficulties associated with traditional backup schemes and the changing dynamics of data protection strategies. We examine Oracle's Zero Data Loss Recovery Appliance (ZDLRA) and the role it can play in providing significantly improved service levels for all types of Oracle databases.
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Oracle
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