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