Imran Quadri Syed is a Lead System Developer at Prime Therapeutics (Minnesota, U.S.A). He has 12 plus years of professional experience in Data Warehousing and Client-Server application packages. Imran’s main area of work involves implementing complex technical solutions to support Business Intelligence Reporting Systems. Imran’s vast experience varies from legacy technologies like mainframes, Data warehousing technologies (DataStage/Informatica) to latest big data technologies like Hive, HBase, Kudu, Kafka, NiFi, Spark and Scala. Imran has authored many research articles published in various international journals related to architectural patterns for implementing complex technological solutions and solving various technological challenges. With his multi-disciplinary (Computers Science and Electronics) background and his passion for technology, he serves as an expert jury member on various competitions and award associations evaluating/reviewing products developed by industry leaders using latest cutting-edge technologies. Imran holds Masters in Electrical Engineering from City University of New York. He can be contacted at Imranqs@yahoo.com or Linkedin.
For any Business Intelligence solution to be useful for analytical and decision-making purposes, it is imperative that the underlying data quality is good so, that reports generated are reliable to make business decisions. This article from Imran Quadri Syed walks the through steps involved to implement a successful Data Quality Monitoring framework that would validate incoming data against predefined data quality rules and capture data quality metrics.… Read more