Undergraduate Theses
planning-for-big-data
| Identifier | --oreillyrad-1055 |
|---|---|
| Penulis / Pengarang | O’Reilly Radar Team |
| Kata Kunci | planning-for-big-data |
| Tanggal Publikasi | 09 Mar 2012 |
| Bahasa | Bahasa Indonesia |
| Abstrak / Deskripsi | Visualization fulfills two purposes in a data workflow: explanation and exploration. While business people might think of a visualization as the end result, data scientists also use visualization as a way of looking for questions to ask and discovering new features of a dataset. If becoming a data-driven organization is about fostering a better feel for data among all employees, visualization plays a vital role in delivering data manipulation abilities to those without direct programming or statistical skills. |
Attached Files / Download (1)
| No | Nama Berkas | Format | Ukuran | Aksi |
|---|---|---|---|---|
| 1 | 2012 planning-for-big-data.pdf | application/pdf | 3,6 MB | ⬇️ Buka / Download |
Comments & Discussion (0)
Belum ada komentar untuk koleksi ini. Jadilah yang pertama berdiskusi!