Summary
Tatsuo Kawasaki is a seasoned digital transformation specialist and senior instructor with 11 years of experience teaching Big Data and Linux internals, currently shaping global training at Treasure Data. He combines deep hands-on expertise in Hadoop ecosystem technologies (HDFS, HBase, Spark, Kafka, Flink) with low-level mastery of Linux kernel internals, device drivers, performance tuning, clustering and virtualization. Tatsuo has translated and reviewed O'Reilly Hadoop titles, authored technical appendices, and regularly presents on practical Hadoop and Hue topics, demonstrating an ability to bridge documentation, training and real-world operations. He is an avid reader of source code—especially the Linux kernel—which informs his pragmatic approach to debugging and performance optimization. Based in Chiyoda, Japan, he contributes to the community through blog posts, Japanese technical articles and conference talks, bringing a rare blend of systems-level depth and educator’s clarity.
11 years of coding experience