nosql

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By: Pentaho     Published Date: Feb 26, 2015
This eBook from O’Reilly Media will help you navigate the diverse and fast-changing landscape of technologies for processing and storing data (NoSQL, big data, MapReduce, etc).
Tags : data systems, data-intensive applications, scalability, maintainability, data storage, application development
     Pentaho
By: AstuteIT_ABM_EMEA     Published Date: Feb 01, 2018
Why Read This Report 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: MarkLogic     Published Date: Jun 09, 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: Datastax     Published Date: Dec 27, 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: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
Tags : enterprise, nosql, relational, databases, data storage, management system, application, scalable, enterprise applications, data management
     MarkLogic
By: MarkLogic     Published Date: Mar 17, 2015
You’ve probably heard about NoSQL, and you may wonder what it is. NoSQL represents a fundamental change in the way people think about storing and accessing data, especially now that most of the information generated is unstructured or semi-structured data — something for which existing database systems such as Oracle, MySQL, SQLServer, and Postgres aren’t well suited. NoSQL means a release from the constraints imposed on database management systems by the relational database model. This free eBook, Enterprise NoSQL for Dummies, MarkLogic Special Edition, provides an overview of NoSQL. You’ll start to understand what it is, what it isn’t, when you should consider using a NoSQL database instead of a relational database management system and when you may want to use both. In addition, this book introduces enterprise NoSQL and shows how it differs from other NoSQL systems, as well as explains when NoSQL may not be the right solution for your data storage problem. You’ll also learn the NoSQ
Tags : enterprise, nosql, relational, databases, data storage, management system, application, scalable, enterprise applications, data management
     MarkLogic
By: MarkLogic     Published Date: Nov 08, 2016
In this report, learn to: 1. Do more with your structured and unstructured data 2. Combine disparate data sources without the limits of relational systems 3. Build applications faster within an agile data architecture Download now!
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     MarkLogic
By: MarkLogic     Published Date: Nov 15, 2016
In this report, learn to: 1. Do more with your structured and unstructured data 2. Combine disparate data sources without the limits of relational systems 3. Build applications faster within an agile data architecture Download now!
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     MarkLogic
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: 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: 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.
Tags : 
     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.
Tags : 
     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, data volume, data velocity, data variability, data management, data collection, data processing, data scaling, data storage systems, data access, data solutions, data challenges, management tooling
     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, web-abpplications, in-memory data grid, nosql, storage nodes, e-commerce applications, social applications, logisitcs applications, trading applications, data scaling, rest, memcached, hot rod
     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, enterprise applications
     Data Stax
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, business technology
     OpTier
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: 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
By: BlueData     Published Date: Aug 19, 2015
As companies seek to better understand their customers, their opportunities, and themselves, they are embracing new technologies such as Hadoop and NoSQL to better manage and manipulate their data. Yet a complete solution for big data has many moving parts while at the same time these moving parts are continuously evolving. Download this white paper to figure out how to make all the moving parts work smoothly together and see how this will ease frustration with business users and free up your IT teams time to handle other issues.
Tags : big data infrastructure, hadoop deployment, spark, analytics software, big data, data management, data center
     BlueData
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