Building data infrastructure in Coursera
Building data infrastructure in Coursera
10/15/2017
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summary
This blog post discusses the process of building data infrastructure at Coursera, an online learning platform. The author, a data engineer at Coursera, provides insights into the challenges faced and the solutions implemented to create a robust and scalable data infrastructure. The article covers topics such as data ingestion, storage, processing, and analysis, highlighting the technologies and tools utilized in each stage. It also touches on data governance and the importance of establishing data pipelines and workflows. The author concludes by emphasizing the impact of a well-designed data infrastructure in facilitating data-driven decision-making and driving business growth.
tags
data infrastructure ꞏ coursera ꞏ data management ꞏ big data ꞏ data engineering ꞏ data pipelines ꞏ data storage ꞏ data processing ꞏ data architecture ꞏ data integration ꞏ data governance ꞏ data quality ꞏ data scalability ꞏ distributed systems ꞏ cloud computing ꞏ data analytics ꞏ data modeling ꞏ data warehouse ꞏ data lake ꞏ data security ꞏ data privacy ꞏ data infrastructure design ꞏ data infrastructure management ꞏ data infrastructure implementation ꞏ data infrastructure tools ꞏ data infrastructure best practices ꞏ data infrastructure challenges ꞏ data infrastructure scalability ꞏ data infrastructure reliability ꞏ data infrastructure optimization ꞏ data infrastructure architecture ꞏ data infrastructure trends ꞏ data infrastructure technologies ꞏ data infrastructure solutions ꞏ data infrastructure frameworks ꞏ data infrastructure performance ꞏ data infrastructure analytics ꞏ data infrastructure workflow ꞏ data infrastructure maintenance