data base manag

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Published By: IBM     Published Date: Aug 07, 2012
Databases and information management systems let you describe, categorize, store, modify and analyze data. What if you could do the same with decisions? Your systems could learn from previous choices and manipulate them to fit new parameters to intelligently mold future decisions made by executives, everyday business users and even your systems to optimize outcomes. Read this a specially selected excerpt from James Taylor's new book, "Decision Management Systems: A Practical Guide to Using Business Rules and Predictive Analytics" to discover the guiding principles for building decision management systems that can help your organization differentiate itself from the competition at virtually every decision point.
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ibm, technology, decision management systems, business rules, predictive analytics, data, james taylor, business technology
    
IBM
Published By: IBM     Published Date: Aug 08, 2012
Every day, people in your organization are struggling to make the right decisions - working with customers, partners, and each other - because they simply can't use all available data. There's too much of it for humans to internalize, understand, and apply in real time. That's why organizations that automate and optimize decisions informed by predictive analytics have a significant advantage over competitors. Read this IBM white paper and discover how decision management can help you effectively leverage your business data to support faster, more-accurate real-time decisions in virtually every area of your business. You can learn the following: the common types of business decisions and how decision management affects them; why most decisions today aren't based on any real business insight; benefits of decision management-what it is and how to adopt it; and the role of predictive analytics in effective decision management.
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ibm, technology, marketing, decision management, data, automation, optimization, business insight, predictive analytics, business technology
    
IBM
Published By: IBM     Published Date: Nov 09, 2012
The objective of this book is to help customers plan their migration strategy effectively and efficiently by providing the right information, facts and guidance. It will ensure you that you will reap the cost savings and benefits of DB2 10.
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db2 10, z/os, ibm, cost savings, business benefits, simplified database management, enterprise applications, data management, business technology
    
IBM
Published By: SAP     Published Date: Jul 17, 2012
Relational database management systems (RDBMSs) are systems of software that manage databases as structured sets of tables containing rows and columns with references to one another through key values. They include the ability to optimize storage, process transactions, perform queries, and preserve the integrity of data structures. When used with applications, they provide the beating heart of the collection of business functions supported by those applications. They vary considerably in terms of the factors that impact the total cost of running a database application, yet users seldom perform a disciplined procedure to calculate such costs. Most users choose instead to remain with a single vendor's RDBMS and never visit the question of ongoing hardware, software, and staffing fees.
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sap, infrastructure, database, data management, white paper, management, storage, business functions, business technology
    
SAP
Published By: VMTurbo     Published Date: Mar 25, 2015
An Intelligent Roadmap for Capacity Planning Many organizations apply overly simplistic principles to determine requirements for compute capacity in their virtualized data centers. These principles are based on a resource allocation model which takes the total amount of memory and CPU allocated to all virtual machines in a compute cluster, and assumes a defined level of over provisioning (e.g. 2:1, 4:1, 8:1, 12:1) in order to calculate the requirement for physical resources. Often managed in spreadsheets or simple databases, and augmented by simple alert-based monitoring tools, the resource allocation model does not account for actual resource consumption driven by each application workload running in the operational environment, and inherently corrodes the level of efficiency that can be driven from the underlying infrastructure.
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capacity planning, vmturbo, resource allocation model, cpu, cloud era, it management, knowledge management, enterprise applications
    
VMTurbo
Published By: VMTurbo     Published Date: Jul 08, 2015
This whitepaper discusses the installation and use of VMTurbo in virtualized data center environments.
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workload performance, virtualization, data center, storage management, disaster recovery, performance management, storage control, productivity, database management
    
VMTurbo
Published By: VMTurbo     Published Date: Jul 08, 2015
This E-Book covers a brief history of the OpenStack cloud operating system, its releases and projects, significant enterprise adoptions, and the function and contributions VMTurbo.
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cloud strategy, cloud operating systems, enterprise adoption, database management, business integration, web interface, application management, software licensing
    
VMTurbo
Published By: IBM     Published Date: Nov 15, 2013
Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors. What is his advice to readers about DB2 BLU? If your upcoming database needs analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
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ibm, analytics, db2, blu acceleration, acceleration, speed, database, business intelligence, reporting, order of magnitude, data, database management
    
IBM
Published By: Box     Published Date: Jan 16, 2015
In a recent customer survey, 94% of respondents stated that managing their data based on the value or priority of that data to their business was “valuable” to them. However, only 32% of respondents are practicing value or priority based data management.
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data, data value, nexgen, flash, hybrid, it management
    
Box
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, it management
    
Box
Published By: NetApp     Published Date: Oct 12, 2018
Big data needs both high availability and protection. The amount of data created and replicated globally is predicted to increase ten-fold by 2025, according to IDC research. You may be wondering where to store that big data, as well as how to ensure your data is highly available and protected. In this eBook, explore why cloud-based disaster recovery (DR) improves data availability, eases the processes associated with DR management, and creates a more economically efficient solution for today’s data-driven companies.
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NetApp
Published By: Microsoft Azure     Published Date: Apr 11, 2018
When you extend the global reach of your enterprise, you’ll find new markets for your products and services. That means reaching more potential customers, bigger growth potential, and higher ROI. But to tap into those emerging markets, you need to provide the best, most consistent user experience. Now, it’s possible for you to build, deploy, and manage modern apps at scale with a globally-distributed database—without the hassles associated with hosting in your data center. Read the e-book Build Modern Apps with Big Data at a Global Scale and learn how Azure Cosmos DB, a globally-distributed turnkey database service, is transforming the world of modern data management. Keep access to your data available, consistent, and safe—with industry-leading, enterprise-grade security and compliance. Start developing the best app experience for your users based on five well-defined consistency models: Strong: Favors data consistency. Ideal for banks, e-commerce processing, and online booking. Boun
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Microsoft Azure
Published By: Dell EMC     Published Date: May 12, 2016
XtremIO gives you unmatched efficiencies for all database workloads. A scale-out database storage platform that consolidates and accelerates everything. Supercharge production, dev/test, and BI/analytics workflows with incredible data reduction and copy data management services. You get incredible and predictable scale-out performance with a low total cost of ownership.
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xtremio, all-flash array, agility, application landscapes, data management services, scale-out performance, enterprise applications
    
Dell EMC
Published By: AWS     Published Date: Nov 28, 2018
Financial institutions run on data: collecting it, analyzing it, delivering meaningful insights, and taking action in real time. As data volumes increase, organizations demand a scalable analytics platform that can meet the needs of data scientists and business users alike. However, managing an on-premises analytics environment for a large and diverse user base can become time-consuming, costly, and unwieldy. Tableau Server on Amazon Web Services (AWS) is helping major Financial Services organizations shift data visualization and analytics workloads to the cloud. The result is fewer hours spent on manual work and more time to ask deeper questions and launch new data analyses, with easily-scalable support for large numbers of users. In this webinar, you’ll hear how one major asset management company made the shift to cloud data visualization with Tableau Server on AWS. Discover lessons learned, best practices tailored to Financial Services organizations, and starting tactics for scalable analytics on the cloud.
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AWS
Published By: HP     Published Date: Jul 22, 2010
As cyber threats across the globe continue to increase in number and sophistication, security and networking personnel must not only work harder but also smarter to stay ahead of malicious attacks.
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network security, dns, botnet command and control (cnc), malware; phishing, hp tippingpoint, tippingpoint digital vaccine, tippingpoint n-platform ips, tippingpoint security management, ips platform, access switches, reputation database, security management system
    
HP
Published By: Stratavia     Published Date: Nov 20, 2007
This whitepaper is directed to technology executives and team members who are looking to increase the efficiency and operational maturity of their IT operations. It will discuss in detail the following five steps, each required to fully realize the potential of your technology investments.
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automation, virtualization, data center, data center automation, data center optimization, database automation, database management, oracle, sybase, sql server, db2, itil, cobit, basel, standard operating procedure, server provisioning, stratavia, data management
    
Stratavia
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: DataDirect Technologies     Published Date: Mar 17, 2009
Connecting to a database requires a number of independent layers. The application needs to incorporate software that establishes the connection and calls to the database. A database connectivity layer needs to be in place to help manage security, communications, and data flow with the database. The database has a set of interfaces that help translate the client requests into actions within the database engine. And with the advent of .NET, the costs of managed versus non-managed code must also be considered.
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.net, data direct, microsoft .net architecture, scaling, effective architectural design, virtual machine, intermediate language, component object model, com, windows operating system, com-based code, cpu utilization, optimize database connectivity, software development
    
DataDirect Technologies
Published By: Trend Micro, Inc.     Published Date: Apr 29, 2009
The greatest threat to enterprise data security comes from inside threats. Securing the enterprise requires an understanding of the data leak points, environment, people, and processes for managing sensitive information. This white paper explains how network-based and endpoint-based solutions can work together to provide the broadest protection available while ensuring scalability and manageability, and that employee productivity is not impacted.
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trend micro, datadna, data leak, threat, leak, network boundaries, vulnerability threats, data leak, laptop, environment, data loss, data protection, data management, data leak prevention, dlp, agent-based technology, remote computing, leakproof, monitoring, enforcement
    
Trend Micro, Inc.
Published By: Webroot     Published Date: Sep 18, 2013
This whitepaper deals with the rise of mobility, BYOD and social networking, and how these trends have led cybercriminals to exploit vulnerabilities in browsers and mobile apps. For example, more than 30,000 mostly legitimate websites become infected with malware every day. From drive-by downloads to spearfishing to XML injection, web-borne threats represent a significant new risk for businesses. The report describes how to stay on top of this changing threat landscape and prevent damaging attacks with: • 100% protection against known viruses • Industry-leading URL filtering and IP protection via the world’s largest threat database • Extended protection for smartphones and tablets • Simplified web-based management
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web security, cybercriminals, web threats, web gateway, security, business technology
    
Webroot
Published By: TIBCO     Published Date: May 15, 2013
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data. Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data. Continue on to gain insight into: •3 key big data management activities you need to consider •Technologies you need to create for your big data ecosystem •A multi-dimensional view of the customer is the holy grail of individualization •Overcoming key integration challenges And more!
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big data, integration, architecture, database, data warehousing, operations management
    
TIBCO
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