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Want to become a data engineer but aren’t sure which technologies are the right fit for the job? People switching into big data are faced with a difficult decision—should they learn MapReduce or Spark? The answer seems simple but requires more information and insight. Answering this and other questions correctly places you on the path to becoming a data engineer.
Jesse Anderson is a data engineer, creative engineer, and managing director of Big Data Institute. He provides big data training at companies ranging from start-ups to Fortune 100 companies. This includes training on cutting-edge technology like Apache Kafka, Apache Hadoop, and Apache Spark. He has taught thousands of students the skills needed to become data engineers.
He is widely regarded as an expert in the field due to his novel teaching practices. Jesse is published by O’Reilly and Pragmatic Programmers. He has been covered in prestigious publications such as The Wall Street Journal, CNN, BBC, NPR, Engadget, and Wired.
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