HBase×Impalaで作るアドテク�「GMOプライベートDMP」@HBaseMeetupTokyo2015SummerMichio Katano
![Impala データサイエンティストのための 高速大規模分散基盤 #tokyowebmining](https://cdn-ak-scissors.b.st-hatena.com/image/square/0b93b6f2a93c68c891c6e6c603333ca596ca82af/height=288;version=1;width=512/https%3A%2F%2Fcdn.slidesharecdn.com%2Fss_thumbnails%2Ftokyowebmining20130323slideshare-130323020450-phpapp01-thumbnail.jpg%3Fwidth%3D640%26height%3D640%26fit%3Dbounds)
“Big data” is all the rage these days – there are conferences, journals, and a million consultants. Until a few weeks ago, I mocked the term mercilessly. I don’t mock it anymore. Not a “big” data problem Facebook has a big data problem. Google has a big data problem. Even MySpace probably has a big data problem. Most businesses, including 37signals, don’t. I would guess that among our “peer group”
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