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Published By: Dell Server     Published Date: Aug 07, 2018
Drive a competitive advantage. Deploy and analyse more high-value data workloads faster with a 41% increase in transactions per second and a 50% reduction in average query response time with the Dell EMC PowerEdge Servers, powered by Intel® Xeon® Platinum processor.
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Dell Server
Published By: Microsoft Visual Studio Team System     Published Date: Apr 29, 2009
Today’s economic climate presents challenges in achieving business differentiation.  Investing in innovation during an economic downturn may seem counterintuitive at first, but it can help companies pull ahead of the competition by displaying a show of strength in a climate of weakness.  The Microsoft® Application Platform can help organizations do more with less, enabling them to more quickly, efficiently, and cost-effectively deliver custom solutions that provide strong business value.
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microsoft, vsts, microsoft vsts, affordable innovation, application platform, custom solutions, application life-cycle management, rich development platform, designer-developer collaboration, application life-cycle management, alm, microsoft visual studio team system, version control, work assignment, tracking, builds, testing, shaw group, microsoft .net framework, ch2m hill
    
Microsoft Visual Studio Team System
Published By: AWS     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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AWS
Published By: Amazon Web Services     Published Date: Sep 05, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
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Amazon Web Services
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
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ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions
    
IBM
Published By: Villamation     Published Date: Jun 07, 2011
A practical alternative to the traditional method of querying a database over the Internet.
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search, search portals, xml, javascript, web developer, browser, optimized search
    
Villamation
Published By: Vertica     Published Date: Aug 15, 2010
If you are responsible for BI (Business Intelligence) in your organization, there are three questions you should ask yourself: - Are there applications in my organization for combining operational processes with analytical insight that we can't deploy because of performance and capacity constraints with our existing BI environment?
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business intelligence, vertica, aggregated data, olap, rolap, sql, query, data warehouse, oltp
    
Vertica
Published By: IBM     Published Date: Oct 06, 2014
Born from new advances in data processing from IBM Research, IBM® DB2® with BLU Acceleration is a leap forward in database technology that raises the bar for performance and value. BLU Acceleration uses patented technologies to deliver a unique combination of performance, ease of use and cost-efficiency—with 8 to 25 times faster reporting and analytics1 and cases of more than 1,000 times faster answers to queries.2 BLU Acceleration also complements in-memory Dynamic Cubes in IBM Cognos® Business Intelligence with 24 times faster query performance.
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data processing, blu accerleration, database technology, data analytics
    
IBM
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
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Amazon Web Services
Published By: BusinessObjects     Published Date: Jan 30, 2007
Download this step by step guide to learning how mid-size companies can benefit from Business Intelligence. You'll learn the benefits of BI and why mid-size companies need it for effective decision-making and improved results.
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performance management, data quality, msrs, microsoft reporting services, cognos 8, cognos, powerplay, cognos reportnet, microstrategy, business intelligence solutions, business intelligence, mid-size, smb, reporting, query and analysis, data integration, dashboards, visualizations, business objects, businessobjects
    
BusinessObjects
Published By: ClickMail Marketing     Published Date: Jun 03, 2009
Whether you're in the market for a new ESP now or want to see how your current one stacks up, you'll find this whitepaper an invaluable resource. This whitepaper will help you take a thoughtful, informed approach to your ESP selection or comparison to your existing solution, so you can compare apples-to-oranges and still make a wise choice.
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email service provider, esp, clickmail, roi, dma, direct marketing association, deliverability, marketing channel, ltv, life time value, resource, email automation, cms, content management system, usability, authentication, batch and blast, spam, api, application programming interface
    
ClickMail Marketing
Published By: IBM     Published Date: Nov 13, 2014
This paper focuses on the benefits of a queryable data store and big data technologies available to support data warehouse modernization. Read the paper to understand how data can be stored and optimized with Hadoop.
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ibm, ibm infosphere, big data, hadoop, big sql, data warehousing
    
IBM
Published By: IBM     Published Date: Apr 16, 2014
DB2 BLU By Other Databases And More Wayne Kernochan, Infostructure Associates September 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 are 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, ibm db2, blu acceleration, acceleration, database solution, workload, configuration, testing, database management, query
    
IBM
Published By: SAP     Published Date: May 18, 2014
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management, business insights, architecture, business intelligence, big data tools
    
SAP
Published By: BMC ESM     Published Date: Mar 01, 2009
Free utility finds the fragmentation that's crippling your network! New Disk Performance Analyzer for Networks 2.0 takes the guesswork out of tracking networked system performance. This revolutionary utility scans networked systems' performance from one single access point. It equips administrators with an arsenal of performance data, so they can zero in on systems' fragmentation and slows. This second edition comes with a series of improvements which afford users more control and flexibility. Systems can be selected from the Active Directory or IP Address. And this cutting-edge tool supports custom grouping. So, repeated scans are easy to set up and run. Performance reports can also be scheduled for off-peak hours. Results will be automatically sent to your e-mail address. Performance reports are now exported to a MicrosoftT SQL database for easy sorting and querying. Don't let low-functioning systems go unnoticed. Get Disk Performance Analyzer for Networks 2.0 free now!
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BMC ESM
Published By: Oracle + Dyn     Published Date: Jun 27, 2017
"DNS has evolved from a set-it and forget it solution into a mission-critical layer of your online infrastructure. The capabilities of DNS go far beyond speeds, feeds and query resolution. Download this “Rethink DNS” eBook and discover smarter ways to use DNS to optimize performance, build resiliency and manage traffic across hybrid cloud environments. This eBook covers: • Why DNS is central to the user experience • Costs and revenue impact of latency or outages • Risks and challenges of in-house and managed DNS services • Selecting the right DNS provider for your business Download eBook! "
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Oracle + Dyn
Published By: FICO     Published Date: Jun 07, 2016
With the increasing mainstream adoption of big data infrastructure — highly distributed file storage and query tools — more businesses are taking a new look at what business intelligence and analytics can do to grow revenue, increase profits and ultimately develop strategic relationships with customers.
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FICO
Published By: Korenix Technology     Published Date: Aug 03, 2010
This white paper describes the surveillance video multicasting technology, highlights the benefits of IGMP as well as its integration in Korenix devices for assuring high quality video communication in surveillance applications.
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igmp, igmp snooping, igmp query, ip surveillance, video surveillance, video multicast, video multicasting, video transmission
    
Korenix Technology
Published By: ArborNetworks     Published Date: Feb 12, 2016
Ask any cybersecurity professional and she’ll tell you that her job is getting increasingly difficult. Why? Most will point to a combination of the dangerous threat landscape, IT complexity, and their overwhelming workload. These issues are driving a major transition in enterprise security. Large organizations must move beyond a threat prevention mentality to become proactive cyber-¬-attack “hunters” that constantly monitor their networks for signs of trouble. This shift to proactive hunting will require new technologies that collect, process, and analyze massive amounts of security data, offer intelligent security analytics for real-¬-time incident detection, integrate threat intelligence to align suspicious internal activities with external threats, and provide analysts with the right data analytics features to query and manipulate data for historical investigations.
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arbor networks, enterprise, cyber attack, network, data
    
ArborNetworks
Published By: AWS     Published Date: Nov 14, 2018
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making. Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources. This e-book aims to provide you with expert tips on how to use Amazon Redshift Spectrum to increase performance and potentially reduce the cost of your queries.
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AWS
Published By: IBM     Published Date: May 02, 2014
Learn more about Forrester’s results, and how these organizations are realizing both economic and operational benefits with InfoSphere Optim solutions.
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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, data persistence, virtualize data, lifecycle management, big data strategy
    
IBM
Published By: Basho     Published Date: Apr 07, 2015
This whitepaper looks at why companies choose Riak over a relational database. We focus specifically on availability, scalability, and the key/value data model. Then we analyze the decision points that should be considered when choosing a non-relational solution and review data modeling, querying, and consistency guarantees. Finally, we end with simple patterns for building common applications in Riak using its key/value design, dealing with data conflicts that emerge in an eventually consistent system, and discuss multi-datacenter replication.
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basho, riak, relational database, nosql, common applications, simple deployments
    
Basho
Published By: AWS     Published Date: Nov 15, 2018
Businesses are generating staggering amounts of data—and extracting the most value from this information is paramount. Amazon Redshift provides organizations what they’re looking for: Affordability and flexibility combined with a powerful feature set. Download our solution overview covering some of the best practices on loading data and making the most of Amazon Redshift, including: • Loading data for faster results • Querying data for gaining actionable insights • Creating a schema to forgo complicated queries, saving time
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AWS
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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