The old "garbage in, garbage out" adage has never gone out of style. The ravenous appetite for data on the part of analytics and machine learning models has elevated the urgency to get the data right.
Koteswara Rao Chirumamilla is a senior enterprise data engineering and cloud modernization professional with over fourteen years of experience across retail, supply chain, finance, and large-scale ...
With over a decade of experience architecting and operating large-scale cloud environments across AWS, Azure, and Google ...
Financial institutions face the challenge of moving vast amounts of money and information quickly and in line with ever-tightening regulations. Behind every payment, login, or account action lies a ...
SAN FRANCISCO--(BUSINESS WIRE)--Bigeye, the creators of the leading data observability platform, today announced the full schedule for the Data Reliability Engineering Conference 2022 (DRE-Con), ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...
Sharing data from design to the field can improve reliability, but it raises other questions for which there are no clear answers today. SE: How can the industry ensure system-level reliability in ...
The rise of machine learning and automation, coupled with an increased availability of data, has led to a renaissance in data analytics. Bloomberg’s rapidly growing Data Services Engineering team is ...
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