Big Data Classification by Ravi Namboori

Big Data Classification For A Wiser IT Investments

Ravi Namboori Director of Architecture at Equinix , saying that Efficient management of big data classification simplifies IT investment decision making process and enables organizations to gain real insights in to storage and processing aspects.

Big data is immense that drives corporate IT towards classify, distribute and get rid of the data that is not required. Though there exists traditional IT practices that helps enterprises to manage the data, there are significant challenges involved in segregating transactional data and big data.

Typically big data comes in different sizes and shapes that throws a tricky challenge to enterprise data management processes, whereas the transaction data is structured and comes in fixed record lengths which makes the data management task easier for companies.

Due to unstable and unpredictable nature of big data databases, today global enterprises are facing significant challenges in managing such complex databases. It is necessary to practice big data classification by which enterprises can segment the big data based on the sizes, says Ravi Namboori a Data Center Expert.

Thorough analysis of big data databases gives enterprises an edge in positioning the storages and processes that are immediately needed and in long-run. With this segmentation enterprises gain insights in to shaping overall IT architecture as well as the investments required to fulfill the data storage and processing needs. Also organizations can make effective decisions on what segment of the data needs to be outsourced and which data need to be maintained internally.

Big Data Classification for Enterprises

Classification of big data databases enables organizations to evaluate various data storage options that best suits to the data size and frequency of analytics performed. Small data that needs high security and accessed real-time or near real-time should be stored in highly secured in-memory storage.

Big data of larger and intermediate sizes that needs high security requirements, but not accessed real-time or less frequently can be stored on low cost data storages. Enterprises can opt for public cloud repository for the data that has lower security requirements irrespective of size of the data.

With the deep understanding of different data storages and security requirements, enterprises can differentiate the business units that needs high security and faster data access from the units that access the data which requires lesser security and access needs. When enterprises gain enhanced control over the different business units and their respective data access needs, they can manage the internal IT billing processes effectively, adds Ravi Namboori a Cisco evangelist.

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