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By: IBM     Published Date: Jan 18, 2017
IBM Compose Enterprise delivers a fully managed cloud data platform on the public cloud of your choice - including IBM SoftLayer or Amazon Web Services (AWS) - so you can run MongoDB, Redis, Elasticsearch, PostgreSQL, RethinkDB, RabbitMQ and etcd in dedicated data clusters.
Tags : ibm, analytics, aps data, database, cloud db toolkit
     IBM
By: DataStax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
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     DataStax
By: Datastax     Published Date: Nov 02, 2018
Today’s data volume, variety, and velocity has made relational database nearly obsolete for handling certain types of workloads. But it’s also put incredible strain on regular NoSQL databases. The key is to find one that can deliver the infinite scale and high availability required to support high volume, web-scale applications in clustered environments. This white paper details the capabilities and uses case of an Active Everywhere database
Tags : 
     Datastax
By: Datastax     Published Date: Apr 08, 2019
For decades, organizations relied on traditional relational database management systems (RDBMS) to organize, store, and analyze their data. But then Facebook came along, and an RDBMS was suddenly not quite enough. The social giant needed a powerful database solution for its Inbox Search feature, and Apache Cassandra—a distributed NoSQL database—was born. Released as an open source project in July 2008, Cassandra—named after the mythological prophet who famously put a curse on an oracle—became an Apache Incubator project in March 2009. It graduated to a top-level project in February 2010
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     Datastax
By: Datastax     Published Date: May 20, 2019
Apache Cassandra™ comes with the typical benefits of any NoSQL database, and much more. When enterprises need something easily scalable and ready for today’s hybrid cloud environments, it’s hard to find a database better suited for the job than Cassandra. From performance to availability to hybrid cloud readiness, this ebook explains the five main benefits of Cassandra.
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     Datastax
By: Datastax     Published Date: May 20, 2019
Data management challenges have evolved drastically over the last decade, leading most companies to rethink how they manage their data. The need for more powerful and far more flexible databases resulted in the birth of the NoSQL database Apache Cassandra™. Read this white paper to learn how Cassandra has evolved and how it works.
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     Datastax
By: Microsoft Carat APAC     Published Date: Dec 12, 2017
Web apps once thought impossible due to scale, complexity, or because they simply couldn’t be imagined, are now a reality with the cloud. In this guide, we’ve explored the Azure App Service and highlighted Azure’s support for platform as a service (PaaS). We’ve shown you how you can take an existing website backed by a SQL Server database and move it to the cloud. You’ve seen how you can easily add features such as identity management and caching to your web app. You’ve also learned that you can enable rich application monitoring with a few clicks.
Tags : code, business, optimization, scale, support, cloud, paas
     Microsoft Carat APAC
By: Group M_IBM Q119     Published Date: Mar 04, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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     Group M_IBM Q119
By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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     Group M_IBM Q2'19
By: MarkLogic     Published Date: Nov 07, 2017
NoSQL means a release from the constraints imposed on database management systems by the relational database model. This quick, concise eBook provides an overview of NoSQL technology, when you should consider using a NoSQL database over a relational one (and when to use both). In addition, this book introduces Enterprise NoSQL and shows how it differs from other NoSQL systems. You’ll also learn the NoSQL lingo, which customers are already using it and why, and tips to find the right NoSQL database for you.
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     MarkLogic
By: Red Hat, Inc.     Published Date: Jul 10, 2012
Today, as IT departments struggle to design and implement solutions capable of managing exponential data growth with strict requirements for application scale and performance, many of them are turning to in-memory data grids (IMDGs).
Tags : it departments, data growth, managing data growth, application scale, application performance, in-memory data grids, imdgs, big data
     Red Hat, Inc.
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.
Tags : it planning, data, data-driven applications, data challenges, data solutions, big data solutions, big data challenges, in-memory databases
     Red Hat, Inc.
By: Data Stax     Published Date: Apr 27, 2012
This paper will enable those implementing a NoSQL strategy to make more informed decisions when (1) choosing a particular set of NoSQL software, and (2) deciding which vendors to target. Find out more today!
Tags : sql, data stax, datastax, nosql, software, database management, data management, database
     Data Stax
By: AMD     Published Date: Jul 23, 2012
How Microsoft Hyper-V and AMD Opteron Processors Enable True Business Agility.
Tags : virtualization, cloud computing, data mirgation, virtualized machines, virtual server performance, scalability, power management, system management
     AMD
By: OpTier     Published Date: Mar 11, 2013
In the Information Technology (IT) industry, 2012 has been the year of Big Data. From a standing start toward the end of the last decade, Big Data has become one of the most talked about topics.
Tags : optier, big data, enterprise data warehouse, edw, nosql
     OpTier
By: Netapp     Published Date: Apr 02, 2013
This report applies to Microsoft® Exchange Server, SQL Server®, and SharePoint® Server mixed workload on VMware®vSphere™ 4, NetApp®unified storage (FC, iSCSI, and NFS), and Cisco Nexus®unified fabric.
Tags : microsoft, exchange server, server, sql, sharepoint, vmware, unified storage, storage
     Netapp
By: Waratek     Published Date: Mar 23, 2015
Waratek has developed a disruptive new approach to application security that protects applications and sensitive data from attacks like SQL Injection, zero-day and unpatched vulnerability exploits at runtime, without code changes or hardware devices.
Tags : application security, runtime application self protection, web application security, sql injection, zero day attack, zero day vulnerability, legacy java code, virtual patching
     Waratek
By: Oracle     Published Date: Feb 21, 2018
In this video, you lean how to use your Oracle Database Cloud Service. Find out how to: 1.Create SSH Keys 2. Create a Database Cloud Service Instance 3. Enable Secure Network Access to your Database Instance 4.Access Data with Oracle SQL Developer 5. Monitor Your Database Service Instance with the DBaaS Monitor
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     Oracle
By: Alteryx, Inc.     Published Date: Sep 07, 2017
Download this paper now and start to deliver the self-service data analytics that your organization requires.
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     Alteryx, Inc.
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. Forrester’s 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.
Tags : nosql, market, industries, strategy, presence, vendor
     AstuteIT_ABM_EMEA
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.
Tags : rdbms, mongodb, migration, data, enterprise, management
     AstuteIT_ABM_EMEA
By: AstuteIT_ABM_EMEA     Published Date: Feb 02, 2018
Seit über 30 Jahren basiert die Datenverwaltung in Unternehmen auf relationalen Datenbanken. Doch die modernen Verfahren für die Entwicklung und den Betrieb von Anwendungen in Kombination mit der rasant steigenden Zahl neuer Datenquellen und den immer umfangreicheren Workloads der Anwender übersteigen zunehmend die Möglichkeiten relationaler Datenbanken. Die dadurch entstehenden Einschränkungen im Hinblick auf die Flexibilität und Skalierbarkeit sowie die steigenden finanziellen Belastungen bewegen mehr und mehr Unternehmen dazu, zu alternativen Datenbanken wie MongoDB oder NoSQL zu migrieren.
Tags : leitfaden, fur, die, migration, von, einem, rdbms, mongodb
     AstuteIT_ABM_EMEA
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
By: Microsoft Azure     Published Date: Apr 05, 2018
If you’re running a mixed operating system environment, you already know that choice is key. Whether on Microsoft Windows Server or Linux, in virtual machines or containers, enterprises are expanding their deployment options. By bringing Microsoft SQL Server to Linux, Microsoft continues to embrace open source solutions.
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     Microsoft Azure
By: IBM APAC     Published Date: Mar 19, 2018
MongoDB, one of the most popular NoSQL Open databases, helps you take advantage of exploding unstructured data with faster access to data and analytics while reducing your database cost. With the right infrastructure, you can benefit more. By running MongoDB on IBM Power systems, you can achieve: • ?Bring new apps to market faster and reduce the risk for mission-critical deployments • ?2.6x better performance for MongoDB at a much lesser cost than x86 Find out more about IBM Power Systems and MongoDB for today’s applications.
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     IBM APAC
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