databases

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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 arent 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: Oracle     Published Date: May 03, 2017
Traditional backup systems fail to meet the needs of modern organisations 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.
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Oracle
Published By: Dynatrace     Published Date: Apr 16, 2018
Based on a global survey of 800 CIOs, this report examines the challenges organizations face when working within complex, cloud-centric ecosystems. Technology is at the heart of every organization today. Now more than ever, society expects the services we use to be innovative and faultless, prompting the creation of hyper-complex IT ecosystems. Relying on physical databases and third-party cloud service providers, businesses are finding it increasingly difficult to monitor application performance, ensure positive experiences, and succeed in this new environment.
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Dynatrace
Published By: Red Hat, Inc.     Published Date: Jul 10, 2012
Is data changing the way you do business?Is it inventory sitting in your warehouse? The good news is data-driven applications enhance online customer experiences, leading to higher customer satisfaction and retention, and increased purchasing.
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it planning, data, data-driven applications, data challenges, data solutions, big data solutions, big data challenges, in-memory databases, web-abpplications, in-memory data grid, nosql, storage nodes, e-commerce applications, social applications, logisitcs applications, trading applications, data scaling, rest, memcached, hot rod
    
Red Hat, Inc.
Published By: BMC Software     Published Date: Aug 26, 2014
Is your IT Automation strategy saving you money or just becoming more complex and costly? With the right unified strategy, IT Automation can pay for itself and deliver far more business value. Watch this on-demand webinar, New Strategies to Manage IT Automation Complexity and learn how to: Reduce costs by integrating automatio n for servers, middleware, networks and databases Eliminate manual and tedious IT Operations tasks with both new and existing technology Save time and money by consolidating configuration management processes across your IT infrastructure Transform compliance, audit that and remediation from a stressful event to a standard practice Become part of the Automation revival is serving as a catalyst for IT Operations. Watch this on-demand webinar and learn how to integrate your IT automation strategy.
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it automation, strategy, operations, it infrastructure, automation, it management
    
BMC Software
Published By: NetApp     Published Date: Dec 15, 2014
Organizations of all kinds rely on their relational databases for both transaction processing and analytics, but many still have challenges in meeting their goals of high availability, security, and performance. Whether planning for a major upgrade of existing databases or considering a net new project, enterprise solution architects should realize that the storage capabilities will matter. NetApps systems, software, and services offer a number of advantages as a foundation for better operational results.
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database, transaction processing, analytics, enterprise solution architects, storage capabilities, storage
    
NetApp
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: MarkLogic     Published Date: Mar 29, 2018
Real World Evidence (RWE) requires the correlation of complex, frequently changing, unstructured data. To the enterprise architect, that means extracting value from data that doesn't neatly fit solutions. 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 is required to be successful with RWE. It is for this reason that leading life science organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic.
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data, integration, volume, optimization, architect, enterprise
    
MarkLogic
Published By: Oracle     Published Date: Feb 21, 2018
Get Started with Oracle Cloud for Free $300 in free credits Build production-ready workloads by using a variety of cloud services including databases, compute, containers, IoT, big data, API management, integration, chatbots, and many more
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Oracle
Published By: Oracle     Published Date: Feb 21, 2018
Why move your databases to the cloud? This video provides numerous facts and figures to help explain why businesses today are adopting Database as a Service (DBaaS) solutions like the Oracle Database Cloud Service at a breathtaking pace.
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Oracle
Published By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
The demand for databases is on the rise as organizations build next-generation business applications. NoSQL offers enterprise architecture (EA) pros new choices to store, process, and access new data formats, deliver extreme web-scale, and lower data management costs. Forresters 26-criteria evaluation of 15 big data NoSQL solutions will help EA pros understand the choices available and recommend the best for their organization. This report details our findings about how each vendor fulfills our criteria and where they stand in relation to each other to help EA.
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nosql, market, industries, strategy, presence, vendor
    
AstuteIT_ABM_EMEA
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: 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: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
The Software in Silicon design of the SPARC M7 processor, and the recently announced SPARC S7 processor, implement memory access validation directly into the processor so that you can protect application data that resides in memory. It also includes on-chip Data Analytics Accelerator (DAX) engines that are specifically designed to accelerate analytic functions. The DAX engines make in-memory databases and applications run much faster, plus they significantly increase usable memory capacity by allowing compressed databases to be stored in memory without a performance penalty. The following Software in Silicon technologies are implemented in the SPARC S7 and M7 processors: Note: Security in Silicon encompasses both Silicon Secured Memory and cryptographic instruction acceleration, whereas SQL in Silicon includes In-Memory Query Acceleration and In-Line Decompression. Silicon Secured Memory is the first-ever end-to-end implementation of memory-access validation done in hardware. It
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
With the growing size and importance of information stored in todays databases, accessing and using the right information at the right time has become increasingly critical. Real-time access and analysis of operational data is key to making faster and better business decisions, providing enterprises with unique competitive advantages. Running analytics on operational data has been difficult because operational data is stored in row format, which is best for online transaction processing (OLTP) databases, while storing data in column format is much better for analytics processing. Therefore, companies normally have both an operational database with data in row format and a separate data warehouse with data in column format, which leads to reliance on stale data for business decisions. With Oracles Database In-Memory and Oracle servers based on the SPARC S7 and SPARC M7 processors companies can now store data in memory in both row and data formats, and run analytics on their operatio
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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 morebut 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
Published By: Oracle     Published Date: Oct 20, 2017
Traditional 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
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
Oracle's Zero Data Loss Recovery Appliance is a ground-breaking data protection solution thats completely integrated with Oracle Database, eliminating data-loss exposure for all databases without impacting production environments. Download this infographic to learn about the impact that Oracle's Zero Data Loss Recovery Appliance makes on enterprises.
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Oracle
Published By: Oracle     Published Date: Oct 20, 2017
ESG Lab evaluated the Zero Data Loss Recovery Appliance from Oracle with a focus on its ability to deliver reliable data protection by recovering Oracle databases to any point in time with sub-second RPO in a highly scalable scale-out solution that is easy to use and manage. Year after year, ESG respondents consistently cite improving data backup and recovery among the top IT priorities in our annual spending intentions survey (including 2016s iteration). Why? Because when unforeseen infrastructure failures or data corruptions occur, the ability to restore not only business-critical information but also application and end-user access to that information become paramount. Lost or prolonged inaccessibility to business-critical data and applications most often means lost revenue and productivity to the business, and possibly the inability to meet regulatory requirements.
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Oracle
Published By: Mimecast     Published Date: Apr 18, 2017
"Your Email & The EU GDPR GDPR changes how organizations need to protect personal data, including data contained in email and contact databases. Regardless of physical location, you must be in GDPR compliance for EU resident personal data by May 2018. Download the white paper to learn: - The unprecedented level of effort required for collecting and processing personal data - The specific security, privacy and protection requirements to comply with GDPR - How a majority (58%) of mid-sized and large organizations have a poor understanding of the wide scope of the regulation and associated penalties"
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gdpr, email, personal data, security, data protection
    
Mimecast
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