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This course aims to teach learners about cost-effective updating of distributed reordered indexes. The learning outcomes include understanding index reordering techniques, maintaining and reinstating reorderings in growing document collections, and measuring the benefits of reordering in query execution time. The course covers topics such as inverted indexing, document reordering, distributed retrieval systems, update operations, data and experiments, batch append operations, and additional considerations. The teaching method involves a theoretical discussion supported by experimental results. The intended audience for this course includes professionals and researchers in the field of information retrieval and distributed systems.