Posted by aionol | 27 NOV 2017

4 Steps to Overcoming Big Data Cloud Challenges

Big data analytics provide companies with a business advantage that leaves the competition behind. Despite the advantages of big data transformation in the cloud, most organizations hesitate because of the complexity involved. How can these challenges be turned into opportunities? Here are 4 steps to leverage the benefits of cloud for big data transformation: #1 Conduct A […]

Big data analytics provide companies with a business advantage that leaves the competition behind.

Despite the advantages of big data transformation in the cloud, most organizations hesitate because of the complexity involved.

How can these challenges be turned into opportunities?

Here are 4 steps to leverage the benefits of cloud for big data transformation:

#1 Conduct A Data Pipeline Analysis

Not all big data or cloud technologies will be capable of seamlessly integrating a complex data ecosystem.

A data pipeline analysis will reduce the risk of mismatched data and incompatible systems.

#2 Improve Security With Private Cloud

For confidential and proprietary data, security is a major concern. Choose a private cloud solution that is used solely for your organization, with encryption and a highly customized network.

4 Steps to Overcoming Big Data Cloud Challenges

4 Steps to Overcoming Big Data Cloud Challenges

#3 Transitioning From Legacy Systems

Use one of these paths for data migration when transitioning from legacy infrastructure:

  • Shift existing workloads to the cloud infrastructure leveraging only the storage, computing, and network capabilities of the cloud. This leverages the benefit of scalable infrastructure while removing the need for a complex application rewrite.
  • Phase out legacy data over time. Keep the existing data on the legacy systems and only migrate new data to the cloud-based platform.
  • Use a complex data transformation when applications are nearing the end of their lifecycle.

#4 Outsource Big Data Implementations

Asking internal or contract personnel to undertake this task usually slows down implementation.

Relying on an industry expert is a much more economical option to implement big data transformations in the cloud. Look for a vendor that has managed complex big data environments on private and public clouds.

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