It's time for spring cleaning, including your enterprise data stores, says data expert Joey D'Antoni, who offers front-line data-hygiene advice straight from the IT trenches.

Data cleaning is an iterative process focused on making data “good enough” for analysis rather than achieving perfection, with an emphasis on refining datasets layer by layer.

他の写真を見る Google Cloudは、ビジネスユーザーからの自然言語による質問を基にデータ分析用のPythonコードを生成し実行する新機能「Code ...

But, as a new survey of data scientists and machine learners shows, those expectations need adjusting, because the biggest challenge in these professions is something quite mundane: cleaning dirty ...