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Data Mining Problems in Retail

Highly Scalable

To a certain extent, such a high diversity of recommendation techniques is attributed to several implementation challenges like a sparsity of customer ratings, computational scalability, and lack of information on new items and customers. Heckerman, and C. DG12] How Companies Learn Your Secrets, C. Kleinberg, C.

Retail 152
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Should You Use ClickHouse as a Main Operational Database?

Percona

However, ClickHouse is super efficient for timeseries and provides “sharding” out of the box (scalability beyond one node). To simulate text messages I have used ~3 billion of reddit comments (10 years from 2007 to 2017), downloaded from pushshift.io. So can we use it as our main datastore? group by a.w, group by a.w,