NoSQL Blog Posts

Posted on October 3, 2016 by Kirk Borne

One of the most significant characteristics of the evolving digital age is the convergence of technologies. That includes information management (structured and unstructured databases: e.g., NoSQL), data collection (big data), data storage (cloud and distributed data: e.g., Hadoop), data applications (analytics), knowledge discovery (data science), algorithms (machine learning), transparency (open data), computation (distributed data processing: e.g., MapReduce and Spark), sensors (Internet of Things: IoT), and API services (microservices, containerization).

Posted on August 11, 2016 by Dale Kim

With stories of the thefts of millions of credit card records and sensitive employee data at some of the world’s largest companies and government agencies dominating recent headlines, it’s not surprising that organizations are doubling down on security. Security is finally starting to get top management’s attention.

Posted on February 11, 2016 by Jim Scott

For the past 25 years, applications have been built using an RDBMS with a predefined schema that forces data to conform with a schema on-write. Many people still think that they must use an RDBMS for applications, even though records in their datasets have no relation to one another.

Posted on October 30, 2015 by Ellen Friedman

There’s good news in the world of NoSQL databases that will put a smile on the face of developers – and that should also make business leaders happy because it means shorter time-to-value. You can now enjoy the ease and flexibility of a document-style database with the power of extreme scalability and performance.

Posted on October 28, 2015 by Dale Kim

In this week's Whiteboard Walkthrough, Dale Kim, product marketing director, explains how document databases fit in your enterprise's use cases.

Posted on October 22, 2015 by Ellen Friedman

Walmart is an industry leader in global e-commerce and brick-and-mortar retail, and they’re also a leader in the use of Hadoop-based technologies to implement their new data-driven approach to business.

Posted on October 9, 2015 by Michele Nemschoff

At Strata+Hadoop World in New York last week, MapR CMO Jack Norris talked about the Big Data Dividend – the ongoing, significant profits that are derived from data-driven applications. In his keynote, Jack provided a look at the bigger picture.

Posted on September 29, 2015 by Steve Wooledge

Cloudera’s announcement of a new open source project called Kudu, a technology described as a “complement to HDFS and Apache HBase... designed to fill gaps in Hadoop’s storage layer.” Apparently Cloudera’s development team “... eventually came to the conclusion that large architectural changes were necessary to achieve our goals”.

Posted on September 29, 2015 by Tugdual Grall

Today, MapR has announced the developer preview of MapR-DB with native support of JSON, and the new library OJAI (Open JSON Application Interface), pronounced "OH-hy."

Posted on August 4, 2015 by Dale Kim

Every business has some kind of database. It’s right up there with word processors and spreadsheets as essential business software. Relational databases are one of the most popular types—but as useful as they are, they’re not necessarily the best for every situation. NoSQL databases are becoming popular because they can handle different types of data at scale more efficiently.

Posted on April 20, 2015 by Bill Peterson

By combining Teradata’s QueryGrid with MapR, you now can get access to the data in your data warehouse as well as Hadoop and NoSQL data sets in MapR.

Posted on March 18, 2015 by Dale Kim

In this week's Whiteboard Walkthrough, Dale Kim, Director of Industry Solutions at MapR, gets you up to speed on Apache Hadoop and NoSQL. He talks about the similarities and differences between the two, but most importantly how both technologies should be a requirement for any true big data environment.

Posted on March 9, 2015 by Anu Yamunan

Today, we are announcing the availability of a course on HBase, the in-Hadoop NoSQL database. The course is titled “HBase Data Model and Architecture” and is catered to data analysts, data architects and application developers.

Posted on March 3, 2015 by Dale Kim

Gigaom Research released a new report recently, titled “Extending Hadoop Towards the Data Lake.” According to the report, early data lake adopters are integrating Hadoop into organizational workflows, and are addressing challenges regarding the cleanliness, validity, and protection of their data. Their research resulted in some key findings.

Posted on February 17, 2015 by Ellen Friedman

One of the best ways to figure out how to succeed with your own large-scale projects is to see what others are doing – what has worked for them and what has not.

Posted on December 3, 2014 by Karen Whipple

On 22 November 2014, the NoSQL matters conference took place in Barcelona at the Casa Convalescència, which is doubtless one of the most beautiful locations for a conference! The Casa was declared a Historical Artistic Monument in 1978, and a World Cultural Heritage Site in 1997, and these great halls are a great place for great speakers. This year, Ellen Friedman (@Ellen_Friedman) and Ted Dunning (@ted_dunning) were among them, and it is always a pleasure to listen the both of them pointing out actual society-changing trends in modern big data and NoSQL technologies.

Posted on October 9, 2014 by Dale Kim

In this blog series, we’re showcasing the top 10 reasons customers are turning to MapR in order to create new insights and optimize their data-driven strategies. Here’s reason #7: MapR provides the top-ranked NoSQL key-value database for current offering.

Posted on October 8, 2014 by Nitin Bandugula

In this blog series, we’re showcasing the top 10 reasons customers choose the MapR Distribution for Hadoop to optimize their data-driven strategies. Reason #8: MapR provides Unbiased Open Source supporting 20+ OSS projects.

Posted on October 1, 2014 by Dale Kim

I was recently at the offices of Trace3 (a MapR partner) in Irvine, CA, to give a talk at the OC Big Data Meetup. Well-organized by its gracious host, “Big Data Joe Rossi,” this meetup appears to have a very enthusiastic following that continues to grow each month. Fortunately, my presentation did not seem to curtail that growth.

Posted on September 2, 2014 by Jim Scott

“Google is living a few years in the future and sends the rest of us messages,” Doug Cutting, Hadoop founder

Posted on April 25, 2014 by Michael Hausenblas

The recent release of Apache Hive 0.13 prompted me to think about how far we are concerning serving both operational and analytical systems in the context of the Hadoop ecosystem.

Posted on September 24, 2013 by Sridhar Reddy
MapR M7 provides ease of use, dependability and performance advantages for NoSQL and Apache Hadoop™ applications. Apache HBase is a key-value based NoSQL database solution that is built on top of Hadoop. MapR M7’s architecture is specifically designed to optimize the storage and processing of files as well as tables within a unified platform.
Posted on May 1, 2013 by Jack Norris

Expanding Big Data solutions to yet another level, MapR made two announcements today: MapR M7, which provides an enterprise-grade NoSQL and Hadoop solution to our customers, is now available; and LucidWorks Search will be distributed with the MapR Big Data Platform for Apache Hadoop, including with the new MapR M7 Edition.

M7 Now Available

Posted on April 26, 2013 by Jack Norris
Demand for both Apache Hadoop and NoSQL is extremely strong and this can mean only one thing: companies are hiring, and there is stiff competition for employees with experience in these technologies. This was brought home last month in an article in Data Informed and the numbers have only gone up since that time. shows growth of 150,000 percent in Hadoop job postings:

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