data visualization

Drupal Intensive Training at Microsoft Philippines

Transcript

1. S Paul de Paula New Amsterdam Ideas Microsoft Philippines
2. S  Former Joomla Extension contributor S  Opensource advocate for six years S  Drupal Pilipinas Core Leader S  Currently working at News Amsterdam Ideas as DevOps S  Former Lead Developer at abs-cbnnews.com
3. S  Will discuss the fundamentals of visualization S  Will talk about Drupal Modules needed to visualize data S  Will demo visualization from simple csv file to a beautiful visuals such as Bar, Line, Pie graph and etc. S  Will talk about Odata Protocol and azure table storage and how to integrate it in drupal. S  Will demo how to integrate azure table storage and drupal Part 1 Part 2
5. Data visualization is the study of the visual representation of data.
6. S  Acquire: Obtain the data S  Parse: Provide some structure for the data meaning S  Filter: Remove all but the data of interest S  Mine: Apply methods from statistics or data mining as way to discern patterns or place the data in mathematical context. S  Represent: Choose basic visual model S  Refine: Improve the basic information to make it clearer. S  Interact: Add methods for manipulating the datat or controlling what features are visible.
8. S  Views S  Views Data_viz S  Feeds S  Ctools
11. The data is stored in a way which can be searched through queries. By design, Windows Azure Table Storage provides the potential to store large amounts of data, while enabling efficient query access.
12. S  No relations between tables or entities sets. S  Storing datasets that don’t require joins, foreign keys, or stored procedures and can be denormalized for fast access. S  Quickly querying data using clustered index. S  Tabled doesn’t have specified schema.
13. S  Azure Table Storage S  Data S  Composer_vendor S  Windows Azure Subscription