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Big Data Technology and Use Cases Webinar By EITAGlobal

3/6/2014 10:00 AM - 11:30 AM

It is important to select the correct category of NoSQL database management system to store the data. Data will be typically stored only once and according to the most important use case due to the high volume. There are five categories:

Hadoop

Key-Value Stores (non-Hadoop)

Column Stores (sometimes referred to as wide column stores)

Graph Databases

Document Stores

Certain aspects of NoSQL are common across all the categories and projects:

The Open Source nature of most of the tools, mostly Apache Open Source

Use of Map Reduce as the data access paradigm, which is batch and keeps processing as close to the data as is possible

Data model implemented as JavaScript Object Notation (JSON)

Use of Sharing (horizontal partitioning of data across file systems)

Very Near Linear Scaling into petabytes

Not strictly ACID compliant (atomicity, consistency, isolation and durability; not meant for transaction processing)

Highly Fault Tolerant (but not with RAID)

As companies increasingly begin to understand that no matter what business they are in, they are in the business of information and they need to develop a competency for Information Development to take control of their data. This includes data that is best suited for NoSQL solutions. Some of the data that exceeds the volume, variety and complexity thresholds that make NoSQL attractive include:

Sensor-read data

Detailed clickstream data

Full transaction logs

Heavy-relationship-based data (for Graph Databases)

Web-crawled data

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