Transform and integrate various data into a scalable data repository (such as a data warehouse, data lake, cloud).Deposit the results into a data warehouse or data lake for downstream processing. Handle raw data using data processing transformations and algorithms to create predefined data structures.Store data in a data warehouse or data lake repository.This collects data from various data sources - structured or not. Design, construct and maintain large-scale data processing systems.This environment this role works in will include architecture, technology standards, open source options, as well as data preparation and data management processes. It is the role of a big data engineer to build, maintain and ensure a production-ready big data environment. building compelling, differentiated customer experiences.mitigating compliance and regulatory risks.optimizing key business and operational use cases.Insights that can be gained by big data include: sensor readings generated by the internet of things ( IoT).smartphone and mobile device engagements and.credit card and point-of-sales transactions.Big data analytics can be used to optimize key business and operational use cases, mitigate compliance and regulatory risks and create net-new revenue streams. What is big data?īig data is a label that describes massive volumes of customer, product and operational data, typically in the terabyte and petabyte ranges.
This type of data specialist aggregates, cleanses, transforms and enriches different forms of data so that downstream data consumers - such as business analysts and data scientists - can systematically extract information.
#BIG BUSINESS DEFINITION PROFESSIONAL#
A big data engineer is an information technology (IT) professional who is responsible for designing, building, testing and maintaining complex data processing systems that work with large data sets.
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