The DATAOPS CERTIFIED PROFESSIONAL Certified DataOps Engineer – DataOps is a collaborative data management practice focused on improving the communication, integration and automation of data flows between data managers and data consumers across an organization. The goal of DataOps is to deliver value faster by creating predictable delivery and change management of data, data models and related artifacts.
This certification Learning Path is as part of this projects, we would help student to have first hand experience of real time software project development planning, coding, deployment, setup and monitoring in production from scratch to end. We would also help students to visualize a real development environment, testing environment and production environments. The goal of this project. Project technology would be Java, Pythong and DOTNET and based on microservices concept..
DataOps further brings these methodologies into the data domain. In a nutshell, DataOps applies Agile development, DevOps and lean manufacturing to data analytics development and operations. Agile is an application of the Theory of Constraints to software development, i.e., smaller lot sizes decrease work-in-progress and increase overall manufacturing system throughput. DevOps is a natural result of applying lean principles (e.g., eliminate waste, continuous improvement, broad focus) to application development and delivery. Lean manufacturing also contributes a relentless focus on quality, using tools such as statistical process control, to data analytics.
The aim of the certification is to validate your knowledge across a number of different key areas, which have been defined by DataOps as being able to:
There is no better preparation than hands-on experience. There are many relevant DataOps Training courses and other resources to assist you with acquiring additional knowledge and skills to prepare for certification. Please review the exam guide for information about the competencies assessed on the certification exam.
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