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Cloud data analytics

Increasingly, companies are processing some portion or element of the data analytics through the cloud, requiring them to increasingly rely on cloud solution architects, Cassandra experts, and Cassandra support.  Usually, cloud data analytics and services are provided under a pay per use model, and many vendors offer single element support technologies. What kind of products and services do such cloud data analytics vendors offer? Services include, software as a service business intelligence, data warehouses and analytics  for social media analytics. Generally, a cloud solution architect will be employed to adapt each of these services to the specific need of the company.

Cloud solution architects

For example, a cloud solution architect preparing a SaaS BI solution, would seek to ensure scalability would match the requirements of the hosts for business intelligence application delivery.

Cloud-based social media analytics would require the cloud solution architect to remotely provide tools that to select social media sites that best match the requirements of the host, including different data harvesting, storage and analytics applications.

A cloud solution architect designing a cloud hosted data warehouse would have to ensure that the company data repository is accessible to remote users.

Cassandra expert

When Apache Cassandra was released as an open-source project in July 2008, after being developed internally by Facebook as a distributed NoSQL database, few expected it to be quite the hit it turned out to be.

What makes Cassandra such a prize? Cassandra experts will tell you that the platform provides non-stop availability, superlative performance, and the scalability that is the bedrock of any successful business. At the same time, it is also operationally simple, and so can be taught to new employees easily, and can be effortlessly replicated throughout different data centers and global regions.  To make a long story short, the Cassandra expert will conclude,  Cassandra, is capable of coping with petabytes of information and thousands of concurrent operations per second.

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