One of the challenges, of big data development, is the need to use lots of tools and technologies. The overall task to setup and to start developing a solution can be overwhelming. Hadoop and related technologies are quite flexible and provide multiple choices to implement big data solutions. However, there is an immense pressure on the organizations to choose the right architecture and technology for the environment or context, whichever is specific to their business. Choice of on premise, cloud or hybrid development further complicates the choices. This process can be overwhelming and can slow or be a hindrance to an overall goal. At Innovyt, we have converted our experience of developing big data solutions into a set of accelerators. These accelerators can help in time to market for big data solutions. We have categorized accelerator into four categories.
Our maturity assessment framework helps in building adoption plan based upon current state and desired state. A comprehensive understanding between the current state and the desired state helps us build a realistic implementation plan.
We have developed a set of shell scripts, which can help in setting up complex big data deployment in hours.
We have developed a framework, which can help in setting up the ingestion process for a variety of input data types. This improves the quality and overall time to market for the big data solution.
We have converted common big data solution a scenario into a set of blueprints and this provides a started pointing for the overall solution. This improves the quality and overall time to market for the big data solution.
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