database operation

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Reducing cost in your Oracle Database environment

Published By: HPE & Intel®     Published Date: Oct 10, 2016
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations?
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database, hpe, intel, data, oracle database, database management, database development, database security
    
HPE & Intel®

Transforming finance and accounting in the digital age

Published By: Ricoh     Published Date: Oct 02, 2018
Your business is changing. As a finance leader, you know that accounting is a labour-intensive, costly process where systems often don’t allow for expedient exception handling and many days are fraught with difficulty in matching invoices to other databases for reconciliation. Like most companies, you know where you want to go but may not have infrastructure or internal expertise to handle electronic fund transfers, credit card payments or cheque processing— all the pieces required to make your vision for an efficient, integrated operation a reality.
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Ricoh

Reducing costs in your Oracle database environment

Published By: Hewlett Packard Enterprise     Published Date: Aug 02, 2017
What if you could reduce the cost of running Oracle databases and improve database performance at the same time? What would it mean to your enterprise and your IT operations? Oracle databases play a critical role in many enterprises. They’re the engines that drive critical online transaction (OLTP) and online analytical (OLAP) processing applications, the lifeblood of the business. These databases also create a unique challenge for IT leaders charged with improving productivity and driving new revenue opportunities while simultaneously reducing costs.
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cost reduction, oracle database, it operation, online transaction, online analytics
    
Hewlett Packard Enterprise

Real-Time Analytics

Published By: Oracle CX     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s 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 Oracle’s 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 CX

Emperor II Brochure

Published By: IBM     Published Date: Jun 29, 2018
IBM LinuxONE™ is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor™ II, is designed for businesses where the following may be required: • protecting sensitive transactions and minimizing business risk • accelerating the movement of data, even with the largest databases • growing users and transactions instantly while maintaining operational excellence • accessing an open platform that speeds innovation
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IBM

Autonomous Database for Dummies

Published By: Oracle     Published Date: May 08, 2019
What if your database could install, manage, secure, and upgrade itself—with little or no manual administration required? Now it’s possible, thanks to machine learning, artificial intelligence and the power of the cloud. Discover how the Oracle Autonomous Database is: • Self-driving: Tell it the service level you want to achieve, and it does the rest. • Self-securing: It installs patches automatically and uses AI to counter threats. • Self-repairing: It patches, scales, and tunes itself while your operations are running, to deliver 99.995% uptime. Discover the power of autonomous data management. Download now.
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Oracle

Red Hat Enterprise Linux Boosts Enterprise Databases

Published By: Red Hat     Published Date: Jan 01, 2013
IT teams that need high-performing, secure database deployments are turning to Red Hat Enterprise Linux as a foundation for these deployments. Thorough testing and impressive results on industry-standard benchmarks make Red Hat Enterprise Linux a great candidate for operations ranging from high-performance computing to cloud infrastructure.
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performance, enterprise, database, workloads, red hat, high-performance computing, cloud infrastructure
    
Red Hat

Affordable, Scalable, Reliable OLTP in a Cloud and Big Data World: IBM DB2 pureScale

Published By: IBM     Published Date: Oct 13, 2016
Compare IBM DB2 pureScale with any other offering being considered for implementing a clustered, scalable database configuration see how they deliver continuous availability and why they are important. Download now!
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data. queries, database operations, transactional databases, clustering, it management, storage, business technology
    
IBM

Infographic: Achieve Better Outcomes and Efficiency for Database Environments.

Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
A hardware and software system specifically designed for the database software to optimize database operations, both for performance and administrative simplicity. An environment that supports workload consolidation, thereby reducing the number of physical servers required for the databases in question. Benefits: Reduced cost and optimal performance.
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Oracle PaaS/IaaS/Hardware

Real-Time Analytics

Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service. Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc. "
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Oracle PaaS/IaaS/Hardware

Understanding the Hidden Costs: Using Spreadsheets to Manage Projects

Published By: Quick Base     Published Date: Dec 18, 2017
This eBook reveals how spreadsheets come with hidden risks and costs – and how cost-effective, cloud-based, and customizable no-code databases present a better alternative. Based on a study of 700+ business, operations, and IT professionals, this eBook will help you to improve productivity, enhance decision-making, and centralize data.
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Quick Base

Big Data Means All Your Data: Integration is Key

Published By: TIBCO     Published Date: Apr 08, 2013
As the volume of available data increases, and we have new ways of extracting insights from data, it is valuable to take a step back and examine the impact of these insights on integration and company actions. Join us for this webinar and learn how you can use big data in your organization.
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big data, integration, architecture, database, data warehousing, operations management, application performance management, best practices
    
TIBCO

Accelerating Database Workloads with HPE MSA Storage with Built-In Flash

Published By: Hewlett Packard Enterprise     Published Date: Sep 25, 2017
Solid state storage is increasingly deployed in all sizes of datacenters, from the small and medium business to the large enterprise. It comes in many forms including hybrid arrays, direct attached drives, PCIe flash and accelerators that fit somewhere in between servers and storage. With the price of flash continuing to drop, hybrid storage is becoming more compelling to the small and medium business for critical computing applications such as databases and day-to-day operational computing.
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Hewlett Packard Enterprise

The Multi-Model Database

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

Forrester - Graph Vendor Landscape

Published By: Datastax     Published Date: May 14, 2018
"What’s In The Report? The Forrester Graph Database Vendor Landscape discusses the expanding graph uses cases, new and emerging graph solutions, the two approaches to graph, how graph databases are able to provide penetrating insights using deep data relationships, and the top 10 graph vendors in the market today Download The Report If You: -Want to know how graph databases work to provide quick, deep, actionable insights that help with everything from fraud to personalization to go-to-market acceleration, without having to write code or spend operating budget on data scientists. -Learn the new graph uses cases, including 360-degree views, fraud detection, recommendation engines, and social networking. -Learn about the top 10 graph databases and why DSE Graph continues to gain momentum with customers who like its ability to scale out in multi-data-center, multi-cloud, and hybrid environments, as well as visual operations, search, and advanced security."
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Datastax

Emperor II Brochure

Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
IBM LinuxONE™ is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor™ II, is designed for businesses where the following may be required: • protecting sensitive transactions and minimizing business risk • accelerating the movement of data, even with the largest databases • growing users and transactions instantly while maintaining operational excellence • accessing an open pla
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Group M_IBM Q418

Emperor II Brochure

Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
IBM LinuxONE™ is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor™ II, is designed for businesses where the following may be required: • protecting sensitive transactions and minimizing business risk • accelerating the movement of data, even with the largest databases • growing users and transactions instantly while maintaining operational excellence • accessing an open platform that speeds innovation
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Group M_IBM Q119

Driving SAP Performance with Amazon EC2 X1 and X1e Instances and Intel® Xeon Processors

Published By: Amazon Web Services     Published Date: Apr 16, 2018
Since SAP introduced its in-memory database, SAP HANA, customers have significantly accelerated everything from their core business operations to big data analytics. But capitalizing on SAP HANA’s full potential requires computational power and memory capacity beyond the capabilities of many existing data center platforms. To ensure that deployments in the AWS Cloud could meet the most stringent SAP HANA demands, AWS collaborated with SAP and Intel to deliver the Amazon EC2 X1 and X1e instances, part of the Amazon EC2 Memory-Optimized instance family. With four Intel® Xeon® E7 8880 v3 processors (which can power 128 virtual CPUs), X1 offers more memory than any other SAP-certified cloud native instance available today.
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Amazon Web Services

New Strategies to Manage Complexity in IT Automation

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

Enhancing Database Environments with NetApp Storage

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. NetApp’s 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

Gartner Report: Optimize IT Operations and DevOps to Drive Business Value Primer for 2017

Published By: NetApp     Published Date: Sep 19, 2017
Use this Gartner report to help identify opportunities to optimize IT operations and accelerate your DevOps transformation. Avoid risk and drive value to your business by: implementing best practices, selecting the right tools and technologies, experimenting with agile practices, and aligning roles for success.
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netapp, database performance, flash storage, data management, cost challenges, gartner, operations, business value
    
NetApp

Orchestrating virtual data center services

Published By: dinCloud     Published Date: Jun 19, 2018
Too often, the debate about IT is dominated by a narrow focus on near-term objectives: shrill cries claim that the business will stop (or fail) if a feature isn’t added to the ecommerce site, if the mobility platform isn’t improved, if the network and compute back end aren’t upgraded, if storage and database performance isn’t accelerated. Often, these changes are truly essential, and demand immediate attention. However, midmarket firms can’t assemble a meaningful strategy from point responses to near-term issues. Increasingly, midmarket enterprises are finding that continued operational success requires an “agile-cloud” – an agility-oriented, cloud-based IT strategy that addresses the three core changes faced by midmarket firms: the changing nature of business infrastructure, the accelerating pace of change in business, and the expanding scope of IT.
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virtual, data, centers, services
    
dinCloud

Managing the empowered user

Published By: dinCloud     Published Date: Jun 19, 2018
Too often, the debate about IT is dominated by a narrow focus on near-term objectives: shrill cries claim that the business will stop (or fail) if a feature isn’t added to the ecommerce site, if the mobility platform isn’t improved, if the network and compute back end aren’t upgraded, if storage and database performance isn’t accelerated. Often, these changes are truly essential, and demand immediate attention. However, midmarket firms can’t assemble a meaningful strategy from point responses to near-term issues. Increasingly, midmarket enterprises are finding that continued operational success requires an “agile-cloud” – an agility-oriented, cloud-based IT strategy that addresses the three core changes faced by midmarket firms: the changing nature of business infrastructure, the accelerating pace of change in business, and the expanding scope of IT.
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empowered, it< tech, ecommerce
    
dinCloud

Real-Time Analytics

Published By: Oracle     Published Date: Oct 20, 2017
With the growing size and importance of information stored in today’s 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 Oracle’s 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

Getting Started with Amazon Redshift – Best Practices

Published By: Amazon Web Services     Published Date: Sep 05, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Amazon Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. Organizations choose Amazon Redshift for its affordability, flexibility, and powerful feature set: • Enterprise-class relational database query and management system • Supports client connections with many types of applications, including business intelligence (BI), reporting, data, and analytics tools • Execute analytic queries in order to retrieve, compare, and evaluate large amounts of data in multiple-stage operations
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Amazon Web Services
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