Multi-Dimensional Relational Algebra
Multidimensional Relational Algebra (MRA) is the powerful innovation at the heart of SlamData. MRA is a new mathematical foundation for expressing queries that extends the power of relational algebra to handle the complex, denormalized, schema-less data models of modern NoSQL databases.
Existing marketplace solutions rely exclusively on 40+ year old relational algebra, the mathematical foundation for relational database analytics (RDBMS). While this approach has worked well for legacy RDBMS systems, it’s not compatible with modern data models.
Just as the RDBMS era of the 1970s and 80s required new solutions for analytics and reporting, the NoSQL revolution requires new innovation to succeed and must move beyond traditional relational technology.
For the first time in history, MRA makes it possible to manipulate and query NoSQL data using SQL, without losing any expressive power. No data preparation is required — MRA lets you work with your data natively, as it actually exists, without the need for table virtualization.
MRA is a giant leap forward and the foundation for all NoSQL analytics. If you want to learn more about MRA, please contact us.
News, Analysis and Blogs
Pioneering the New Age of Analytics – An Interview with Jeff Carr, CEO and Co-Founder of SlamDataread more
The Gap In the BI Market – An Interview with Jeff Carr, Co-Founder and CEO of SlamDataread more
This is a presentation delivered at Couchbase’s 2017 Connect Conference held in NYC. SlamData is the leading solution for Couchbase — and NoSQL — analytics.read more
So a word of advice, the next time you’re talking to a BI vendor about data support, be sure to ask them the following five questions.read more
The Hadoop Data Lake has been positioned as the one size fits all answer to a company’s data silo problems. In reality, Hadoop is often NOT the most efficient answer to the problem.read more
SlamData Inc., the leading open source analytics company for modern unstructured data today announced that it has raised a $6.7M Series A funding round, led by Shasta Ventures.read more
The Characteristics of NoSQL Analytics Systems
- The Nature of NoSQL Data
- NoSQL Databases
- Big Data
- A Generic Data Model for NoSQL
- Approaches to NoSQL Analytics
- Coding & ETL
- Real-Time Analytics
- Relational Model Virtualization
- First-Class NoSQL Analytics
- Characteristics of NoSQL Analytics Systems
- Generic Data Model
- Isomorphic Data Model
- Unified Schema/Data
- Polymorphic Queries
- Dynamic Type Discovery & Conversion
- Structural Patterns
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