Getting started with big data is hard. First, you have to carefully plan out what your hardware configuration will look like, then you have to install the required software, then you have to deploy Hadoop, Spark, and many other open source ecosystems used for analytics. The list is long and the steps can be complex.
And it only gets tougher from there. If you're a large enterprise, now you need to secure your deployment, which means that you need to ensure that you have network isolation and authentication. Once your big data apps are in production, you'll spend lots of time debugging shaky code and balancing resource utilization. All of this is done manually, making for a painstaking process.
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