MarkLogic - Enterprise NoSQL Database
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MarkLogic - Enterprise NoSQL Database
Next generation big data, requires a next generation database
Curated by Dominic Spitz
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MarkLogic’s lead in NoSQL market won’t slow innovation | SiliconANGLE

MarkLogic’s lead in NoSQL market won’t slow innovation | SiliconANGLE | MarkLogic - Enterprise NoSQL Database | Scoop.it
Dominic Spitz's insight:

The NoSQL market is still relatively new, but the current trends suggest it is on pace to equal or even surpass traditional relational database management systems (RDMS). In this rapidly-emerging market, one company, MarkLogic, is clearly leading the race...

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Organizations Around the World Use MarkLogic For Mission Critical Applications

Organizations Around the World Use MarkLogic For Mission Critical Applications | MarkLogic - Enterprise NoSQL Database | Scoop.it

Our customers seek the flexibility of a NoSQL data model, the reliability of an enterprise-grade database, and the precise search and retrieval capabilities of a best-of-breed search engine. From day one, MarkLogic was built to handle complex, real-time transactional data without risk of data loss.

Dominic Spitz's insight:

Complex systems with complex integrations create complex challenges:

 

Disparate data types

A multitude of schemas

Sparse data

Unstructured data

 

Modeling all of these into a single schema (required by traditional relational databases) would take many, many man years – and in the meantime, more disparate data will have emerged. A new generation database is necessary: one that is schema-agnostic – yet schema aware; that has all the trusted, enterprise capabilities of relational databases – without the limitations.

 

Our customers seek the flexibility of a NoSQL data model, the reliability of an enterprise-grade database, and the precise search and retrieval capabilities of a best-of-breed search engine. From day one, MarkLogic was built to handle complex, real-time transactional data without risk of data loss.

 

We happen to use XML documents as a data model – but make no mistake, we can handle text, data, images, audio, video, application-specific documents, rich file formats, and now even Semantic triples. You can search and query across all these data types – and build immensely complex systems – FAST.

 

MarkLogic clusters on commodity hardware using a shared-nothing architecture and differentiates itself in the market by supporting massive scale and fantastic performance — customer deployments have scaled to hundreds of terabytes of source data while maintaining sub-second query response time.

 

MarkLogic has been in production for over a decade serving mission-critical applications – and has powered:

 

London 2012 Olympics websitesFAA’s Emergency Operations NetworkMission critical systems for 6 of the top 10 of the world’s largest banks8 of top 10 of global information providersMultiple US intelligence agenciesInformatics Corporation of America’s healthcare information exchangesFederally Facilitated Marketplace and the Data Services Hub for the Centers for Medicare  and Medicaid Services

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Availability of MarkLogic 7 on AWS

Availability of MarkLogic 7 on AWS | MarkLogic - Enterprise NoSQL Database | Scoop.it

Industry’s Most Full Featured Enterprise NoSQL Database Platform Available for Cloud Deployments

 

Dominic Spitz's insight:

MarkLogic has announced the availability of MarkLogic 7 on the Amazon Web Services Marketplace.  Enterprises now have full access to the industry’s only schema-agnostic Enterprise NoSQL database that includes search and application services and is engineered to harness the benefits of AWS.

 

MarkLogic 7 on AWS is the same full featured, clustered and elastic product that customers can run on-premise and in cloud environments to run mission-critical applications. This allows companies to set up short-term cloud deployments or adopt a hybrid infrastructure that includes AWS. MarkLogic 7 can span both strategies, easily scaling up or down, without any downtime and with full transactional consistency to ease the migration of applications and workloads between the two infrastructures.

 

MarkLogic placed on the AWS Marketplace

Read the full press release for more details and information.

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MarkLogic - Unified Information Access - Break Down Data Silos

MarkLogic - Unified Information Access - Break Down Data Silos | MarkLogic - Enterprise NoSQL Database | Scoop.it
TDWI (The Data Warehousing Institute) educational institute of business intelligence and data warehousing for executives and professionals worldwide.
Dominic Spitz's insight:

Organizations have important information scattered across silos, some in costly, legacy systems. It's expensive to maintain all those systems, and time-consuming to find the information when it's distributed. Data unification with MarkLogic makes information storage, search, and retrieval easier and faster.

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Gartner Report: Magic Quadrant for Operational Database Management Systems

Gartner Report: Magic Quadrant for Operational Database Management Systems | MarkLogic - Enterprise NoSQL Database | Scoop.it
Dominic Spitz's insight:

The database market has changed dramatically, and more enterprises are considering and using newer technologies alongside traditional relational databases. In its new Magic Quadrant report, Gartner says:

 

"The operational DBMS market (formerly OLTP) is evolving dramatically, with new, innovative entrants and incumbents supporting the growing use of unstructured data and NoSQL DBMS engines. Information management leaders must understand the market implications affecting DBMS technology decisions."


Get your copy of the Magic Quadrant report for complete insight on where the operational database market is headed in 2013, and which of the newer entrants you should consider for the new generation of information applications.

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MarkLogic(R) 7 Enhances Enterprise NoSQL With Game Changing Capabilities

MarkLogic(R) 7 Enhances Enterprise NoSQL With Game Changing Capabilities | MarkLogic - Enterprise NoSQL Database | Scoop.it
SAN CARLOS, CA--(Marketwired - Oct 10, 2013) - MarkLogic Corporation today announced the latest version of its Enterprise NoSQL database platform, MarkLogic® 7.
Dominic Spitz's insight:

MarkLogic Corporation today announced the latest version of its Enterprise NoSQL database platform, MarkLogic® 7. To help organizations gain better operational agility and optimize storage costs, MarkLogic 7 supports cloud computing, can run natively on the Hadoop* Distributed File System (HDFS), and has new features that enable database elasticity and searchable tiered storage. Additionally, to help users understand and gain more meaning from their data, MarkLogic 7 introduces MarkLogic® Semantics. MarkLogic Semantics combines the power of documents, data and RDF triples (also known as Linked Data) to enable analysts to understand, discover and make better informed decisions, and to power the delivery of the most comprehensive, contextually relevant information to users.

 

"Pressed to rapidly create new information products -- while containing costs and dealing with expanding data volumes -- architecture teams have struggled with rigid infrastructures and traditional relational databases that either stymy development or that cannot expand and contract with changing user needs," explained Gary Bloom, CEO and president, MarkLogic.

 

"MarkLogic already delivers all the features required for enterprise deployment of NoSQL database technology. With MarkLogic 7, customers will have greater power and agility to do more with data and content at a faster pace, while also making the best use of the new generation of cloud infrastructure. All are critical to our customers who are building mission-critical applications."

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14 Things You Need to Know About Data Storage Management

14 Things You Need to Know About Data Storage Management | MarkLogic - Enterprise NoSQL Database | Scoop.it
If you think backing up files and software to a storage device or to the cloud will automatically preserve and protect them (and your organization), think again.
Dominic Spitz's insight:

2. Don't neglect unstructured data. "Think about how you might want to combine multi-structured data from your transactional systems with semi-structured or unstructured data from your email servers, network file systems, etc.," says Aaron Rosenbaum, director, Product Management, MarkLogic, a database solution provider. "Make sure that the data management platform you choose will let you combine all these types without months or years of data modeling effort."

 

7. Use a tiered storage approach. "Save money by only using your fastest storage, like SSD, for data that you actively use, and utilize less expensive platforms, like the cloud, to store your archival or backup data," says Aaron Rosenbaum, director, Product Management, MarkLogic, a database solution provider. "Make sure your systems can utilize different storage tiers so as the performance needs of an application change, you don't need to re-architect [it].

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MarkLogic CEO on Oracle and NoSQL at OpenWorld 2013 | #oow13

MarkLogic CEO on Oracle and NoSQL at OpenWorld 2013 | #oow13 | MarkLogic - Enterprise NoSQL Database | Scoop.it
Dominic Spitz's insight:

Gary Bloom, the president and chief executive officer of NoSQL titan MarkLogic, stopped by theCUBE at the recently concluded Oracle OpenWorld 2013 conference to discuss how his company is helping enterprises tap into their unstructured data for tangible business value.

Founded in 2001, MarkLogic is the largest pure-play Big Data vendor by revenue, with a 13 percent stake of the market. The company credits much of its success to the fact that it has been around for much longer than the competition, and well before analytics started moving into the enterprise mainstream.

 

Bloom reflects that “our founder [Christopher Lindblad], when he started the company, he was a search expert. He looked out there and he said, ‘Gee, there is all this data in corporations that needs to be searchable,’ so he set about to build a search engine to search all that data. And what he realized pretty quickly is that if you actually want to be able to look at that data through a search engine you have to store it differently.”

 

Unlike relational databases from Oracle and IBM, MarkLogic’s solution is schemeless. The platform indexes data dynamically, which means that input doesn’t have to adhere to a specific structure in order to be processed. This functionality simplifies application development and empowers users to extract insights from their data.

 

Bloom boasts that his company’s software is utilized by more than 350 organizations, including the Centers for Medicaid and Medicare Services, intelligence agencies, publishers and major financial services providers. What sets MarkLogic apart from rivaling NoSQL solutions is that it offers high-availability, compartmentalized security, and other enterprise features that are required for mission-critical workloads.

 

Click on the video below for the full interview.

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MarkLogic Summit Series EMEA - October 15th in London.

MarkLogic Summit Series EMEA - October 15th in London. | MarkLogic - Enterprise NoSQL Database | Scoop.it
Visit MarkLogic.com to read MarkLogic Summit Series: EMEA.

Via Adrian Carr
Dominic Spitz's insight:

MarkLogic EMEA Summit on October 15th in London.

 

A combination of customer use case presentations as well as company direction and the launch of MarkLogic 7 - including the Sematic Triple Store, Tired Storage and new functionality for Cloud deployment.

 

Register here : http://www.marklogic.com/events/marklogic-summit-series-emea/

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Recorded Webinar: Analytics, NoSQL, and Visualization - MarkLogic & Tableau

Recorded Webinar: Analytics, NoSQL, and Visualization - MarkLogic & Tableau | MarkLogic - Enterprise NoSQL Database | Scoop.it
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ACID, BASE and NoSQL

ACID, BASE and NoSQL | MarkLogic - Enterprise NoSQL Database | Scoop.it
Community Blogs, comments and opinions by industry professionals
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Adrian Carr's curator insight, May 10, 2013 11:23 AM

How can one guarantee cross-record ACID transactions in a horizontally-scalable, schema-agnostic database?...read on..

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It's the Shape, Not the Size - of the Data - that Matters

It's the Shape, Not the Size - of the Data - that Matters | MarkLogic - Enterprise NoSQL Database | Scoop.it
Community Blogs, comments and opinions by industry professionals
Dominic Spitz's insight:

Data is at the center of most challenges facing our industry today, with business drivers such as new regulations, aggregated risk management, and deep customer insight all having critical data management implications. The term Big Data has become a common way to describe this, and while some of these challenges are associated with large volumes, it isn't really the size of the data that's at issue. I'd argue that at this point we know how to handle large volumes: use shared-nothing architectures that scale horizontally on commodity hardware.  The trickier problem has to do with a different "V" of Big Data - variety - and it is that aspect that I'd like to focus on (.......)

 

http://www.finextra.com/Community/fullblog.aspx?blogid=7590

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Imagine What You Could Do with Enterprise NoSQL - MarkLogic World

Imagine What You Could Do with Enterprise NoSQL - MarkLogic World | MarkLogic - Enterprise NoSQL Database | Scoop.it

Gary Bloom, CEO, MarkLogic presents at "MarkLogic World 2013"

 

 

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Tame Unruly Data - MarkLogic

Tame Unruly Data - MarkLogic | MarkLogic - Enterprise NoSQL Database | Scoop.it
Dominic Spitz's insight:

Information is meant to be searched, studied, and shared.
Why are so many companies still struggling to reign in various data sources, and missing out on opportunities?

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Tableau and Marklogic Visualize Unstructured Data

Tableau and Marklogic Visualize Unstructured Data | MarkLogic - Enterprise NoSQL Database | Scoop.it
One of the most important features for managing unstructured data is the ability to quickly search the data and get back relevant results. Marklogic provides support for full text searches as well as complex searches on Unstructured data.
Dominic Spitz's insight:

Everyone talks about extracting value from big data and specifically tapping into the value of unstructured data. Marklogic, a Tableau partner, is actually helping customers do it! Marklogic’s goal is to help customers rapidly make sense of large amounts of unstructured data. Marklogic is the leading Enterprise NoSQL database on the market due to how quickly they can process, catalog, store and search tons of unstructured data. This data can then be exposed to Tableau users through the “Other ODBC” connection in Tableau.

 

One of the most important features for managing unstructured data is the ability to quickly search the data and get back relevant results. Marklogic provides support for full text searches as well as complex searches on Unstructured data. Tableau customers can initiate these searches using simple parameters in Custom SQL. Marklogic then searches the entire indexed document, not just titles of documents or the metadata.

 

After searching the unstructured data you may want to enrich that data with outside relevant information. Marklogic utilizes a triple store and the semantic web to provide customized data that enriches the data discovery process.

 

To demonstrate Tableau and Marklogic searching and visualizing unstructured data, we created a sample workbook of indexed public mailing list messages. This workbook is a subset of emails from Markmail.org. You can see the dashboard here on Tableau Public.

You can start with the search bar created using a Tableau parameter in custom SQL. That parameter is just the right hand side of a SQL MATCH query, and it can be anything you’d expect from a powerful search engine like MarkLogic: Booleans, proximity search, fielded search and so on. The entire email is searched, not just a column like you’d get with a relational database! Try it! Search for any term and click on an email snippet. You will see a new window appear showing the entire document (in this case an email).

 

If you type in “Hadoop” with a capital H (Marklogic search uses SPARQL which is case sensitive), you will see the right hand side of the dashboard fill with new data. This isn’t just any data. It’s not in a database per se, it’s coming from the Web. MarkLogic’s triple store indexes to see “what else do we know?” — like an infobox you see sometimes with Google searches.

 

(A note about this dashboard. In order to provide this demo to Tableau Public, we have extracted the data from MarkLogic into a TDE file — but you could easily run live data from MarkLogic into Tableau for real-time analysis on your own server.)

For more information on Tableau and Marklogic, you can view a recent webinar on Analytics, NoSQL, and Visualization hosted by Marklogic and Tableau.

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Big Data Technology at the Royal Society of Chemistry

Big Data Technology at the Royal Society of Chemistry | MarkLogic - Enterprise NoSQL Database | Scoop.it
MarkLogic's enterprise NoSQL platform allows science publisher to reach out to new audiences and platforms, says strategist
Dominic Spitz's insight:

The RSC was founded in 1841, its clients and contributors consisted of a small group of gentleman scientists, mostly based in London. Today its materials are used by millions all around the world - researchers, universities, institutions, R&D departments - just last week the organisation added its millionth global user of the educational platform for secondary school students and teachers Learn Chemistry.

 

RSC needed to digitize the Society's vast leather-bound archive, employing a third-party bureau to convert 1.4 million pages of written word and chemical formulae into SGML and XML, a project that was completed in 2004. From there a simple website was created with pages hosted as PDF files. Then came the task of making the archive searchable. 

 

According to David Leeming, strategic innovation group solutions manager at the Royal Society of Chemistry, "We wanted to get more out of the XML we'd been collecting. It seemed obvious it wasn't going to fit into a relational model," Leeming told Computing. "We wanted to deliver all that information back to 1841 but also expand and develop new products and services. We wanted to get more out of the discovery process and make sure it was available in different formats."

To make this data searchable and to create a publishing platform that would enable new products and services to be rolled out quickly, RSC partnered with  MarkLogic.  Please read the complete story here to learn how MarkLogic helped RSC solve their data challenges. 

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MarkLogic Rolls Out the Red Carpet for Semantic Triples

MarkLogic Rolls Out the Red Carpet for Semantic Triples | MarkLogic - Enterprise NoSQL Database | Scoop.it
Dominic Spitz's insight:

The capability to store and search semantic triples in MarkLogic 7 is one of the most compelling new features of the new NoSQL database. The concept of semantic triples is central to the Resource Description Framework (RDF) way of storing and searching for information. Instead of relating information in a database using an "entity-relationship" or "class diagram" model, the RDF framework enables links between pieces of data to be searched using the "subject-predicate-object" concept, which more closely corresponds to the way humans think and communicate.

 

The real power of this approach becomes evident when one considers the hugely disparate nature of information on the Internet. An RDF powered application can build links between different pieces of data, and effectively "learn" from the connections created by the semantic triples. This is the big (and as yet unrealized) pipe dream of the semantic Web.

 

RDF has been around for a while, and while you probably wouldn't call it mainstream, there are a handful of applications using this approach. What makes MarkLogic's approach unique is that it's storing the semantic triples--the linked data--right inside the main NoSQL database, where it can make use of all the rich data and metadata stored in documents and other semi-structured files that NoSQL databases like MarkLogic are so good at storing.

 

This approach puts semantic triples right where it can do the most good. "Until now there has been a disconnect between the incredible potential of semantics and the value organizations have been able to realize," states MarkLogic's senior vice president of product strategy, Joe Pasqua.

 

"Managing triples in dedicated triple stores allowed people to see connections, but the original source of that data was disconnected, ironically losing context," he continues. "By combining triples with a document store that also has built-in querying and APIs for delivery, organizations gain the insights of triples while connecting the data to end users who can search documents with the context of all the facts at their fingertips."

 

MarkLogic says early adopters of MarkLogic 7 have already started playing around with the new semantic features, which uses the SPARQL query language to interrogate or infer the relationships in semantic triples. This includes the databases that powered websites created for the 2012 Summer Olympics; financial services firms that use semantic triples to manage data and risk; law enforcement organizations that use semantic triples to identify crime or fraud patterns; drug companies that use the technology to infer risk and decide which drugs to take to trial; and procurement agents, who use it to rationalized purchasing decisions.

 

"The semantic features we're putting into MarkLogic have gotten a lot of interest from our user base, and even our prospect base," MarkLogic CMO Michaline Todd told Datanami last month. "The capability to use MarkLogic as your RDF Triple Store and to use open link data helps customers to build more powerful, very textually relevant applications that deliver the exact information people need as they need it."

 

Dave Schubmehl, an IDC research director in the field of search and content analytics, says the new capabilities give MarkLogic an advantage over other NoSQL database vendors, and even over traditional relational database (RDB) vendors. "While other database vendors offer limited semantic/RDF support, the combination of full XML support with robust semantic and RDF functionality and performance really makes MarkLogic a significant contender for semantic based applications and solutions," he says via email.

Schubmehl says he sees semantic applications growing significantly. "Traditional search systems look at the 'who,' 'what,' 'when,' and 'where' in unstructured information. Government, publishers, financial services firms, and many other types of organizations are all looking to utilize semantic technologies to answer the 'why,' and this can only be done by finding and understanding the relationships between concepts, phrases, and keywords. This is what RDF and semantic capabilities can provide."

 

MarkLogic 7 brings several other notable new features, including a new tiered storage mechanism. This gives customers the capability to use Hadoop File System (HDFS) as a storage mechanism, as well as the capability to deploy a single NoSQL database across multiple, heterogeneous, and geographically disparate platforms, including Amazon S3 and EBS.

The HDFS integration gives MarkLogic customers several configuration options. They can run the database on HDFS as a shared file system, use HDFS as a storage tier, or even use HDFS in a mixed workload scenario that combines MapReduce batch processing and real-time processing on NoSQL.

 

MarkLogic is one of a group of NoSQL database vendors that are trying to disrupt the market for production database systems, which for so long as been dominated by RDB vendors, like Oracle, IBM, and Microsoft. Whereas Hadoop and related tools are primarily being used for batch-oriented analytic workloads, MarkLogic and other NoSQL database vendors see themselves driving production business systems that have traditionally been powered by the RDBs.

"At many of our customers, we are the primary application," Aaron Rosenbaum, MarkLogic's director of product management, told Datanami last month. "At many customers, we're the majority of the revenue they're driving in their organization. These are almost exclusively custom applications."

 

MarkLogic 7, along with the tiered storage and semantics options, are available now through the company's early access program, and are expected to become generally available in late November.

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MarkLogic 7: Tame Big Data Using Semantics

MarkLogic 7:  Tame Big Data Using Semantics | MarkLogic - Enterprise NoSQL Database | Scoop.it
Visit MarkLogic.com to read MarkLogic Semantics.
Dominic Spitz's insight:

Organizations are finding they can make better-informed decisions, reduce risk, and convey more accurate information by combining documents, data, and now RDF triples (also known as Linked Data) in one flexible architecture - The MarkLogic Enterprise NoSQL Database. Read more by clicking the link.

 

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MarkLogic Search and Discovery

MarkLogic Search and Discovery | MarkLogic - Enterprise NoSQL Database | Scoop.it
Dominic Spitz's insight:

Find out why MarkLogic is the only database featured in the Gartner  Enterprise Search Quadrant. Discover how our customers innovate, grow their business, and make the world a safer place:

 

http://www.marklogic.com/customers/

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MarkLogic Search and Discovery Kit: Gartner Magic Quadrant + Use Cases + Webinar

MarkLogic Search and Discovery Kit: Gartner Magic Quadrant + Use Cases + Webinar | MarkLogic - Enterprise NoSQL Database | Scoop.it
Dominic Spitz's insight:

Isn't it time your search worked for you?

 

As data explodes in Enterprises, precise search and discovery of information is critical. With sub-second search capabilities over billions of records and the ability for millions of simultaneous targeted searches, MarkLogic provides the most advanced Big Data search out there. Don’t get stuck migrating to replacement software, when a simple switch to MarkLogic could take your business further, faster

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MarkLogic in Healthcare - How the right technology addresses information challenges.

Dominic Spitz's insight:

Healthcare organizations need cost-effective Big Data solutions that drive real-time decision support, content delivery, and interoperability. For more than a decade, organizations looking to efficiently and effectively manage complex volumes and varieties of data to achieve business and mission success have turned to MarkLogic. As the only Enterprise NoSQL (Not Only SQL) database available today with enterprise-grade security, reliability, transactional consistency and more, MarkLogic is proven in a wide range of mission-critical healthcare systems.

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File Storage Technologies (FST): MarkLogic, leader du NoSQL d'entreprise

File Storage Technologies (FST): MarkLogic, leader du NoSQL d'entreprise | MarkLogic - Enterprise NoSQL Database | Scoop.it
File Storage Technologies Blog by Philippe Nicolas - Dédié aux Technologies de Stockage Fichier ou File Storage, ce Blog couvre essentiellement les approches liées aux systèmes de fichiers disques et réseaux.
Dominic Spitz's insight:

MarkLogic se positionne en rupture avec les approches traditionnelles et historiques des bases de données très rigides et inadaptées au monde très changeant en rapide mouvement que nous vivons. Les données à collecter sont variées, en grande quantité et de format très différent.

 

Donc MarkLogic vise toutes les données sans structure particulière, à vocation de forte évolutivité, avec un mécanisme avancé de requêtes et de search, très rapide et très bon en analytique. La solution MarkLogic regroupe 3 grands piliers: La base de données bien sûr, le search donc et les services applicatifs. Les références sont nombreuses et variées et touchent tous les secteurs. L'illustration des données des jeux olympiques sont éloquentes à ce titre.

 

L'idée centrale de MarkLogic est de constituer un vrai puits de données capable de recevoir tout type de données et de les indexer à la volée. On comprend immédiatement le rôle central de consolidation des informations d'entreprise. Le serveur MarkLogic fait parti de la catégorie Document NoSQL avec une liste de fonctionnalités impressionnante le listant immédiatement en tant que leader de la catégorie Enterprise. MarkLogic apporte la scalabilité d'une base "Internet" à l'Entreprise.

 

Mais la grande nouveauté est la version 7 de MarkLogic Server avec plusieurs clés: l'intégration de la sémantique au mode search et une très grande agilité avec l'élasticité, le stockage multi-niveaux et Hadoop. On l'aura compris, la partie sémantique vise à apporter un sens au requête et permettre un retour d'information compris et suggéré par le nouveau moteur baptisé Power. Celui-ci intègre un nouveau RDF (Resource Description Framework), un mode de query basé sur SPARQL 1.0 et la possibilité de faire des requêtes sur triplets complexes, documents et valeurs. Cette version combine un "triple-store", un document-store et un value-store. Côté Elasticité, MarkLogic offre le Dynamic Provisioning, le rééquilibrage à chaud et la capacité de tourner sur VM, Amazon AWS et Hadoop. Le serveur peut donc opérer son service sur HDFS et ainsi remplacer HBase, la base open source Apache. Pour la partie Tiered Storage, l'idée est de placer les données sur le "bon" stockage c'est-à-dire en fonction de leur valeur. On comprend que le serveur MarkLogic 7 pourra stocker des données sur du SSD ou HDD, sur HDFS et sur Amazon S3 pour ainsi constituer une galaxie de données, très disponible et géographique accessible. Bien vu.

 

MarkLogic, même si les données financières ne sont pas disponibles, semble avoir réalisée environ 80M$ en 2012, dans les ratios des éditeurs avec pour 250 employés, un rapport à 320k$ par tête. La société devrait doubler son revenu cette année et toucher une valorisation entre 1,5 et 2B$. Et oui, MarkLogic est une vraie pépite de cette nouvelle vague de la base de données. A suivre de près. Félicitations et bravo à toute l'équipe.

 

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Webinar: Get Down to Serious Business with Hadoop - MarkLogic

Visit MarkLogic.com to read Webinar: Get Down to Serious Business with Hadoop.
Dominic Spitz's insight:
Webinar: Get Down to Serious Business with Hadoop

 

July 17, 2013

The flexibility of Apache Hadoop is one of its biggest assets –enabling organizations to generate value from data that was previously considered too expensive to be stored and processed in traditional databases– but it also results in “Hadoop” meaning different things to different people. Organizations still struggle over which Hadoop ecosystem components to adopt in order to obtain the greatest value.

 

If you are looking to reduce risk and get real value out of Hadoop, join our webinar featuring Research Director Matt Aslett of 451 Research and MarkLogic’s Director of Product Management Justin Makeig. Get an overview of the current state of the Hadoop ecosystem, geographic adoption, use cases, and an introduction to complementary technology from MarkLogic that can help your organization achieve real-time analysis, transactional data updates, integrity, granular security, and full-text search.

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Twelve competing Dutch newspaper publishers band together to put all their content in one searchable platform called “Newz”

Twelve competing Dutch newspaper publishers band together to put all their content in one searchable platform called “Newz” | MarkLogic - Enterprise NoSQL Database | Scoop.it
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Adam Fowler's curator insight, May 3, 2013 9:00 AM

This is great Newz! *badoomtsch*. Thank you, I'm here all night! #NoSQL

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Big Data Goes Semantic: TEMIS and MarkLogic Strengthen Strategic Alliance

Big Data Goes Semantic: TEMIS and MarkLogic Strengthen Strategic Alliance | MarkLogic - Enterprise NoSQL Database | Scoop.it
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