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Published By: Pentaho     Published Date: Jan 16, 2015
Download if you need to make decisions about the architecture of the systems you work on. Sponsored by Pentaho.
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embedded, big data, nosql, hadoop, customer analytics, data integration, data delivery
    
Pentaho
Published By: Pentaho     Published Date: Jan 16, 2015
This ebook is recommended for IT managers, developers, data analysts, system architects, and similar technical workers, who are faced with having to replace current systems and skills with the new set required by NoSQL and Hadoop, or those who want to deepen their understanding of complementary technologies and databases. Sponsored by Pentaho.
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big data, hadoop, data delivery
    
Pentaho
Published By: Akamai     Published Date: Jul 01, 2011
This white paper examines current trends in Web application security, assessing the present threat environment as well as limitations in existing approaches to protection, and then explores how a Web application firewall solution can overcome these challenges.
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akamai, web application security, security extension, firewall solution, cyber crime, xss, ddos, sql injection
    
Akamai
Published By: Splice Machine     Published Date: Feb 17, 2014
Hadoop has become popular to store massive data sets because it can distribute them across inexpensive commodity servers. Click here to learn more from this free report.
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big data, hadoop, data centers, massive data, servers, virutalization, blades, cloud
    
Splice Machine
Published By: Imperva     Published Date: Nov 07, 2013
This white paper outlines the application threat landscape; explains why next generation firewalls are ill-equipped to stop web attacks; and provides six essential requirements for protecting web applications.
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imperva, web applications, web application security, ddos, web attack, data protection, firewalls, next gen firewalls
    
Imperva
Published By: IBM     Published Date: May 02, 2014
This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, big sql, querying data, database management technology, apache hadoop, data administrators, infosphere
    
IBM
Published By: IBM     Published Date: May 28, 2014
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
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ibm, forrester, master data management, big data, database management technology, data administrators, infosphere, biginsights
    
IBM
Published By: IBM     Published Date: Jun 07, 2016
In a multi-database world, startups and enterprises are embracing a wide variety of tools to build sophisticated and scalable applications. IBM Compose Enterprise delivers a fully managed cloud data platform so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.
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ibm, analytics, database, ibm compose enterprise
    
IBM
Published By: IBM     Published Date: Jun 07, 2016
The database you pick for your next application matters now more than ever. It can be difficult, and oftentimes impossible, to quickly join today's data into the relational model. Learn how a NoSQL database can act as a viable alternative to or compliment an existing relational database.
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ibm, nosql database, database, analytics
    
IBM
Published By: IBM     Published Date: Jun 21, 2017
NoSQL databases and Apache Spark are a potent combination for rapid integration, transformation and analysis of all kinds of business data. With its data syncing and analytics capabilities, IBM Cloudant offers unique advantages as a NoSQL database for many Spark use cases. IT decision-makers, data scientists and developers need to know how and when to apply these technologies most effectively. IBM can offer a host of resources and tools to help your organization gain value from Cloudant and Spark quickly, and with minimal up-front investment.
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ibm, ibm cloudant, apache spark, nosql, database
    
IBM
Published By: IBM     Published Date: Jun 21, 2017
Today, it’s unlikely that a single database will meet all your needs. For a variety of reasons—including the need to support cloud-scale solutions and increasingly dynamic app ecosystems—startups and enterprises alike are embracing a wide variety of open source databases. These varied databases—including MongoDB, Redis and PostgreSQL— open doors to building sophisticated and scalable applications on battle-hardened, non-proprietary databases.
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ibm, data base, cloud, scalability, app ecosystem
    
IBM
Published By: Microsoft Dynamics     Published Date: Jul 09, 2007
J.D. Byrider's franchisees experienced a high level of frustration due to an old system running on Linux using dBase files. Byrider made the decision to switch their development environment to Intel-based servers in a Microsoft SQL Server and ASP development environment. Download this paper to read about their results.
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application integration, financial, finance, accounting, accounting software, enterprise software, business management, workflow
    
Microsoft Dynamics
Published By: InMage     Published Date: Feb 18, 2009
Enterprises Applications - the Challenge Businesses today rely on enterprise applications such as SAP, PeopleSoft, Siebel, Oracle and Microsoft SQL to provide day to day business operations.
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inmage, dr-scout protection, database applications, tcp/ip, cost-effective disaster recovery, recovery point objectives
    
InMage
Published By: Sage SalesLogix     Published Date: May 28, 2009
Before committing to a CRM purchase and implementation, it's good to know the experience of those who have already "been there, done that." It can save time and prevent costly missteps.
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crm, customer relationship management, customer centric, customer-centric, customer service, service, retention, loyalty
    
Sage SalesLogix
Published By: IBM     Published Date: Sep 27, 2013
The challenges faced by midsize businesses remain daunting. An uncertain economic outlook, slow market growth and cost pressures continue to affect most industries. Yet, in most geographies, IT spending by midsize businesses is increasing. This report deals with this cost/benefit equation. Specifically, it compares the IBM i 7.1 operating system deployed on Power Systems with two alternatives: use of Microsoft Windows Server 2008 and SQL Server 2008, and use of x86 Linux with Oracle Database 11g, both deployed on Intel-based servers.
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ibm, ibm i 7.1, power systems, it solutions, it costs, risk management, software solutions
    
IBM
Published By: IBM     Published Date: Mar 05, 2014
If you specialize in relational database management technology, you’ve probably heard a lot about “big data” and the open source Apache Hadoop project. Perhaps you’ve also heard about IBM’s new Big SQL technology, which enables IBM® InfoSphere® BigInsights™ users to query Hadoop data using industry-standard SQL. Curious? This paper introduces you to Big SQL, answering many of the common questions that relational database management system (DBMS) users have about this IBM technology.
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ibm, big data, ibm big sql, sql, database management, database management technology, software, tables
    
IBM
Published By: Cisco     Published Date: Sep 16, 2015
We’re experiencing a disruptive period of data transformation—and managing today’s database infrastructures during this disruptive period is not only critically important, but also more challenging than ever. An historic growth in data and cutting-edge technology trends, like the Internet of Everything, is causing an explosion in connections and data creation that is reshaping everything we do.
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enterprise, policy-based, infrastructure, cloud, visibility, scalability
    
Cisco
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: 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: Basho     Published Date: Apr 07, 2015
bet365 is one of the world’s leading online gambling groups with over 14 million customers in two hundred countries. Recently, bet365 chose Riak, the NoSQL distributed database to ensure scalability and reliability for their site. Get a better understanding of how to choose the right database solution directly from Dan Macklin, Head of Research and Development at bet365. Join us for this On Demand webinar to learn about: • bet365's evaluation process • The business and technical challenges addressed • Triumphs achieved by migrating to Riak • Lessons learned and Dan Macklin's advice for anyyone evaluating their database requirements Download to watch this On-Demand webinar to learn why Riak chose bet365.
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basho, riak, database infrastructure, bet365, unstructured data
    
Basho
Published By: Basho     Published Date: Apr 13, 2015
Today’s consumers expect instant access to communications services whether they’re in the office, at home, or on the road. With data speeds increasing and international roaming costs decreasing, data usage is rapidly growing. Telecommunications Service Providers (TSPs) are under pressure to deliver more services to more people and approach 100% uptime all while lowering prices to consumers. Traditional relational databases can’t meet the requirements for massive scalability, availability, and fault tolerance that the rapid growth in data usage and rise of big data demands. Read this solution brief to learn how Riak excels at these. Riak is a distributed NoSQL database optimized for big data. Riak meets many of the challenges you may be facing with your own service operations systems.
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riak, basho, telecommunications service provider, license fees, scalability, availability, data usage, big data
    
Basho
Published By: Basho     Published Date: Jul 29, 2015
Download this white paper to learn why Riak KV Enterprise is especially suited to fulfill your Enterprise NoSQL requirements including operational simplicity.
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nosql, riak kv enterprise, enterprise nosql, operational simplicity, applications, scalability, global availability
    
Basho
Published By: IBM     Published Date: Oct 06, 2014
Philip Howard of Bloor Research compares performance capabilities of the leading BI platforms. Companies studied in this comparison are IBM (Cognos, DB2 with BLU Acceleration), SAP (BusinessObjects, HANA), Oracle (Business Intelligence, Exadata) and Microsoft (Business Intelligence, SQL Server). His conclusion? "DB2 with BLU Acceleration should not only provide better performance in the first place but also provide consistent performance, with a corresponding requirement for less hardware and less cost."
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analytic performance, blu acceleration, hardware performance, bi platforms
    
IBM
Published By: IBM     Published Date: Apr 29, 2015
IBM InfoSphere BigInsights for Hadoop enables organizations to efficiently manage and mine large volumes of diverse data for valuable insights. IBM builds on a 100% Apache Hadoop foundation with common tools such as spreadsheets, R analytics and SQL access for greater usability.
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bigsheets, data management, business intelligence, workload optimization, data, sql
    
IBM
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