Big Data

Apache Cassandra

What is Big Data?

Industry experts categorize big data as data that has one or more of the following characteristics:Velocity – Big data comes in very fast through various sources such as online systems, sensors, social media, web clickstream capture, and other channels

Variety – Big data is comprised of all types data – structured, semi-structured, and unstructured data

Volume – Big data may involve terabytes to petabytes (and beyond) of data

Complexity – Big data involves complexity that manifests in geographical and multi-data center data distribution, cloud interaction, and more

What does big data mean to you?

Consulting giant McKinsey & Company found companies that were leaders in the use of big data use grew anywhere from two to 20 times faster than their competitors who did not use big data well.

The challenge is that traditional relational databases aren’t designed to capture and analyze big data.

“A new generation of technologies and architectures, designed to economically extract value from very large volumes of a wide variety of data, by enabling high-velocity capture, discovery, and/or analysis.”

What is NoSQL?

Not everyone has a solid understanding of exactly what constitutes a NoSQL database. Some think NoSQL and Hadoop (a batch analytic infrastructure used to process large volumes of data) are synonymous. Others believe NoSQL always equates to non-transactional systems.

What is true about all NoSQL databases is that they don’t conform to the legacy relational database model. This frees NoSQL databases to tackle big data use case situations, store all types of data (e.g. structured, unstructured), scale to handle very large applications and data volumes, and easily distribute data anywhere it is needed.

What can NoSQL do for you?

Built to cope with the new data management challenges of modern businesses. Manage all types of data, in many locations, easily scale, and deliver very fast performance. Serve as an online transactional processing database, becomes the primary datastore for online applications, or the “system of record”Use data stored in primary source systems for real-time, batch analytics, and enterprise search operationsHandle big data use cases that involve high amounts of data velocity, variety, volume, and complexityExcel at distributed database and multi-data center operationsOffer a flexible and dynamic schema design that can be changed without downtime or service disruptionAccommodate structured, semi-structured, and non-structured dataEasily operate in the cloud and exploit the benefits of cloud computing

Apache Cassandra

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