QueryIO helps you to use charts to obtain graphical representation of your big data analysis result. Design various charts, build reports and completely customize the chart and report representation using easy to use UI of QueryIO analytics. Graphic visual representations of information, data or knowledge presents complex information clearly and effectively.

1. Hadoop Big Data
Visualization
Hadoop Based SQL and Big Data Analytics
Solution

2. What is Data Visualization
Hadoop Based SQL and Big Data Analytics
Solution

3. What is Data Visualization
Hadoop Based SQL and Big Data Analytics
Solution
• Data visualization is the presentation of data in a pictorial or graphical format,
meaning "information that has been abstracted in some schematic form, including
attributes or variables for the units of information”.

4. What is Data Visualization
Hadoop Based SQL and Big Data Analytics
Solution
• Data visualization is the presentation of data in a pictorial or graphical format,
meaning "information that has been abstracted in some schematic form, including
attributes or variables for the units of information".
• Main goal of data visualization is to communicate information clearly and
effectively through graphical means.

5. What is Data Visualization
Hadoop Based SQL and Big Data Analytics
Solution
• Data visualization is the presentation of data in a pictorial or graphical format,
meaning "information that has been abstracted in some schematic form, including
attributes or variables for the units of information".
• Main goal of data visualization is to communicate information clearly and
effectively through graphical means.
• In the new millennium, data visualization has become an active area of research,
teaching and development.

6. What is Data Visualization
Hadoop Based SQL and Big Data Analytics
Solution
• Data visualization is the presentation of data in a pictorial or graphical format,
meaning "information that has been abstracted in some schematic form, including
attributes or variables for the units of information".
• Main goal of data visualization is to communicate information clearly and
effectively through graphical means.
• In the new millennium, data visualization has become an active area of research,
teaching and development.
• As more and more data is collected and analyzed, decision makers at all levels
welcome data visualization software that enables them to see analytical results
presented visually, find relevance among the millions of variables, communicate
concepts and hypotheses to others, and even predict the future.

7. Why Data Visualization?
Hadoop Based SQL and Big Data Analytics
Solution

8. Why Data Visualization?
Hadoop Based SQL and Big Data Analytics
Solution
• Visualizations help people see things that were not obvious to them before. Even
when data volumes are very large, patterns can be spotted quickly and easily.

9. Why Data Visualization?
Hadoop Based SQL and Big Data Analytics
Solution
• Visualizations help people see things that were not obvious to them before. Even
when data volumes are very large, patterns can be spotted quickly and easily.
• Visualizations convey information in a universal manner and make it simple to
share ideas with others.

10. Why Data Visualization?
Hadoop Based SQL and Big Data Analytics
Solution
• Visualizations help people see things that were not obvious to them before. Even
when data volumes are very large, patterns can be spotted quickly and easily.
• Visualizations convey information in a universal manner and make it simple to
share ideas with others.
• It lets people ask others, “Do you see what I see?” And it can even answer
questions like “What would happen if we made an adjustment to that area?

11. Why Data Visualization?
Hadoop Based SQL and Big Data Analytics
Solution
• Visualizations help people see things that were not obvious to them before. Even
when data volumes are very large, patterns can be spotted quickly and easily.
• Visualizations convey information in a universal manner and make it simple to
share ideas with others.
• It lets people ask others, “Do you see what I see?” And it can even answer
questions like “What would happen if we made an adjustment to that area?
• Needs of Data Visualization can be listed as:

12. Why Data Visualization?
Hadoop Based SQL and Big Data Analytics
Solution
• Visualizations help people see things that were not obvious to them before. Even
when data volumes are very large, patterns can be spotted quickly and easily.
• Visualizations convey information in a universal manner and make it simple to
share ideas with others.
• It lets people ask others, “Do you see what I see?” And it can even answer
questions like “What would happen if we made an adjustment to that area?
• Needs of Data Visualization can be listed as:
 Identify areas that need attention or improvement.

13. Why Data Visualization?
Hadoop Based SQL and Big Data Analytics
Solution
• Visualizations help people see things that were not obvious to them before. Even
when data volumes are very large, patterns can be spotted quickly and easily.
• Visualizations convey information in a universal manner and make it simple to
share ideas with others.
• It lets people ask others, “Do you see what I see?” And it can even answer
questions like “What would happen if we made an adjustment to that area?
• Needs of Data Visualization can be listed as:
 Identify areas that need attention or improvement.
 Understand what factors influence your customers’ behavior.

14. Why Data Visualization?
Hadoop Based SQL and Big Data Analytics
Solution
• Visualizations help people see things that were not obvious to them before. Even
when data volumes are very large, patterns can be spotted quickly and easily.
• Visualizations convey information in a universal manner and make it simple to
share ideas with others.
• It lets people ask others, “Do you see what I see?” And it can even answer
questions like “What would happen if we made an adjustment to that area?
• Needs of Data Visualization can be listed as:
 Identify areas that need attention or improvement.
 Understand what factors influence your customers’ behavior.
 Know which products to place where.

15. Why Data Visualization?
Hadoop Based SQL and Big Data Analytics
Solution
• Visualizations help people see things that were not obvious to them before. Even
when data volumes are very large, patterns can be spotted quickly and easily.
• Visualizations convey information in a universal manner and make it simple to
share ideas with others.
• It lets people ask others, “Do you see what I see?” And it can even answer
questions like “What would happen if we made an adjustment to that area?
• Needs of Data Visualization can be listed as:
 Identify areas that need attention or improvement.
 Understand what factors influence your customers’ behavior.
 Know which products to place where.
 Predict sales volumes.

16. Why Data Visualization?
Hadoop Based SQL and Big Data Analytics
Solution
• Visualizations help people see things that were not obvious to them before. Even
when data volumes are very large, patterns can be spotted quickly and easily.
• Visualizations convey information in a universal manner and make it simple to
share ideas with others.
• It lets people ask others, “Do you see what I see?” And it can even answer
questions like “What would happen if we made an adjustment to that area?
• Needs of Data Visualization can be listed as:
 Identify areas that need attention or improvement.
 Understand what factors influence your customers’ behavior.
 Know which products to place where.
 Predict sales volumes.
 Discover how to increase revenues or reduce expenses.

17. Data Visualization with QueryIO
Hadoop Based SQL and Big Data Analytics
Solution

18. Data Visualization with QueryIO
Hadoop Based SQL and Big Data Analytics
Solution
• QueryIO gives you a large numerous options and set of services to help you with
your big data visualization.

19. Data Visualization with QueryIO
Hadoop Based SQL and Big Data Analytics
Solution
• QueryIO gives you a large numerous options and set of services to help you with
your big data visualization.
• QueryIO supports on the fly metadata extraction from the files written onto the
cluster. By default, the metadata for unregistered file types is saved in HDFS-
METADATA table in the database. Query builder can be used to query the
information extracted from the files.

20. Data Visualization with QueryIO
Hadoop Based SQL and Big Data Analytics
Solution
• QueryIO gives you a large numerous options and set of services to help you with
your big data visualization.
• QueryIO supports on the fly metadata extraction from the files written onto the
cluster. By default, the metadata for unregistered file types is saved in HDFS-
METADATA table in the database. Query builder can be used to query the
information extracted from the files.
• QueryIO provides:

21. Data Visualization with QueryIO
Hadoop Based SQL and Big Data Analytics
Solution
• QueryIO gives you a large numerous options and set of services to help you with
your big data visualization.
• QueryIO supports on the fly metadata extraction from the files written onto the
cluster. By default, the metadata for unregistered file types is saved in HDFS-
METADATA table in the database. Query builder can be used to query the
information extracted from the files.
• QueryIO provides:
 Query Manager
All the saved queries can be viewed under Query manager.

22. Data Visualization with QueryIO
Hadoop Based SQL and Big Data Analytics
Solution
• QueryIO gives you a large numerous options and set of services to help you with
your big data visualization.
• QueryIO supports on the fly metadata extraction from the files written onto the
cluster. By default, the metadata for unregistered file types is saved in HDFS-
METADATA table in the database. Query builder can be used to query the
information extracted from the files.
• QueryIO provides:
 Query Manager
All the saved queries can be viewed under Query manager.
 Query Designer
Used to design and save query. Also to edit an existing query.

23. Data Visualization with QueryIO
Hadoop Based SQL and Big Data Analytics
Solution
• QueryIO gives you a large numerous options and set of services to help you with
your big data visualization.
• QueryIO supports on the fly metadata extraction from the files written onto the
cluster. By default, the metadata for unregistered file types is saved in HDFS-
METADATA table in the database. Query builder can be used to query the
information extracted from the files.
• QueryIO provides:
 Query Manager
All the saved queries can be viewed under Query manager.
 Query Designer
Used to design and save query. Also to edit an existing query.
 Query Viewer
Query Viewer is used to display the result of the query

24. Data Visualization with QueryIO
Hadoop Based SQL and Big Data Analytics
Solution
• QueryIO gives you a large numerous options and set of services to help you with
your big data visualization.
• QueryIO supports on the fly metadata extraction from the files written onto the
cluster. By default, the metadata for unregistered file types is saved in HDFS-
METADATA table in the database. Query builder can be used to query the
information extracted from the files.
• QueryIO provides:
 Query Manager
All the saved queries can be viewed under Query manager.
 Query Designer
Used to design and save query. Also to edit an existing query.
 Query Viewer
Query Viewer is used to display the result of the query
 Spreadsheet Viewer
Use spreadsheet to process and further analyze the query results.

25. Query Manager
Hadoop Based SQL and Big Data Analytics
Solution

26. Query Manager
Hadoop Based SQL and Big Data Analytics
Solution
• All the saved queries can be viewed under Query Manager.

27. Query Manager
Hadoop Based SQL and Big Data Analytics
Solution
• All the saved queries can be viewed under Query Manager.
• You can load previously saved queries by clicking on respective query IDs.

28. Query Manager
Hadoop Based SQL and Big Data Analytics
Solution
• All the saved queries can be viewed under Query Manager.
• You can load previously saved queries by clicking on respective query IDs.
• Operations that can be performed using Query Manager are:

29. Query Manager
Hadoop Based SQL and Big Data Analytics
Solution
• All the saved queries can be viewed under Query Manager.
• You can load previously saved queries by clicking on respective query IDs.
• Operations that can be performed using Query Manager are:
 Add / Delete a Query
To create a new Hadoop SQL query or to delete an existing query.

30. Query Manager
Hadoop Based SQL and Big Data Analytics
Solution
• All the saved queries can be viewed under Query Manager.
• You can load previously saved queries by clicking on respective query IDs.
• Operations that can be performed using Query Manager are:
 Add / Delete a Query
To create a new Hadoop SQL query or to delete an existing query.
 Design / View a Query
To re-design or view an existing query.

31. Query Manager
Hadoop Based SQL and Big Data Analytics
Solution
• All the saved queries can be viewed under Query Manager.
• You can load previously saved queries by clicking on respective query IDs.
• Operations that can be performed using Query Manager are:
 Add / Delete a Query
To create a new Hadoop SQL query or to delete an existing query.
 Design / View a Query
To re-design or view an existing query.
 Clone
To create exact copy of an existing query.

32. Query Manager
Hadoop Based SQL and Big Data Analytics
Solution
• All the saved queries can be viewed under Query Manager.
• You can load previously saved queries by clicking on respective query IDs.
• Operations that can be performed using Query Manager are:
 Add / Delete a Query
To create a new Hadoop SQL query or to delete an existing query.
 Design / View a Query
To re-design or view an existing query.
 Clone
To create exact copy of an existing query.
 Export
To export result of a query as a report in PDF/HTML/XLS format.

33. Query Manager
Hadoop Based SQL and Big Data Analytics
Solution
• All the saved queries can be viewed under Query Manager.
• You can load previously saved queries by clicking on respective query IDs.
• Operations that can be performed using Query Manager are:
 Add / Delete a Query
To create a new Hadoop SQL query or to delete an existing query.
 Design / View a Query
To re-design or view an existing query.
 Clone
To create exact copy of an existing query.
 Export
To export result of a query as a report in PDF/HTML/XLS format.
 Email
To e-mail result of a query as a report in PDF/HTML/XLS format.

34. Query Manager
Hadoop Based SQL and Big Data Analytics
Solution
• All the saved queries can be viewed under Query Manager.
• You can load previously saved queries by clicking on respective query IDs.
• Operations that can be performed using Query Manager are:
 Add / Delete a Query
To create a new Hadoop SQL query or to delete an existing query.
 Design / View a Query
To re-design or view an existing query.
 Clone
To create exact copy of an existing query.
 Export
To export result of a query as a report in PDF/HTML/XLS format.
 Email
To e-mail result of a query as a report in PDF/HTML/XLS format.
 Schedule
To schedule execution of a query.

35. Hadoop Based SQL and Big Data Analytics
Solution
QueryIO Query Manager Screenshot

36. Query Designer
Hadoop Based SQL and Big Data Analytics
Solution

37. Query Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Query Designer is used to design a Hadoop SQL Query .

38. Query Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Query Designer is used to design a Hadoop SQL Query.
• Query designer is composed of two modules:

39. Query Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Query Designer is used to design a Hadoop SQL Query .
• Query designer is composed of two modules:
 Query Builder

40. Query Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Query Designer is used to design a Hadoop SQL Query .
• Query designer is composed of two modules:
 Query Builder
 Report Builder

41. Query Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Query Designer is used to design a Hadoop SQL Query .
• Query designer is composed of two modules:
 Query Builder
 Report Builder
• Query Builder
• This module is used for defining an SQL query.
• Using query builder you can construct queries that you want to execute on
your data.
• From choosing a query ID, to constructing a query using on click drop down
on fields SELECT, FROM, WHERE, GROUPBY, ORDERBY, HAVING gives you a
great and easy interface for creating an SQL query.

42. Query Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Query Designer is used to design a Hadoop SQL Query .
• Query designer is composed of two modules:
 Query Builder
 Report Builder
• Query Builder
• This module is used for defining an SQL query.
• Using query builder you can construct queries that you want to execute on
your data.
• From choosing a query ID, to constructing a query using on click drop down
on fields SELECT, FROM, WHERE, GROUPBY, ORDERBY, HAVING gives you a
great and easy interface for creating an SQL query.
• Report Builder
• Using report builder interface of QueryIO, you can build reports to present
the contents of the queries that you can perform using the query builder.
• It comprises of Report Designer, Chart Designer, Chart Preferences etc.

43. Report Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Report Designer is used to customize:

44. Report Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Report Designer is used to customize:
 Report Header

45. Report Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Report Designer is used to customize:
 Report Header
 Group Header

46. Report Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Report Designer is used to customize:
 Report Header
 Group Header
 Column Header

47. Report Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Report Designer is used to customize:
 Report Header
 Group Header
 Column Header
 Column Details

48. Report Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Report Designer is used to customize:
 Report Header
 Group Header
 Column Header
 Column Details
 Group Footer

49. Report Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Report Designer is used to customize:
 Report Header
 Group Header
 Column Header
 Column Details
 Group Footer
 Report Footer

50. Chart Designer
Hadoop Based SQL and Big Data Analytics
Solution

51. Chart Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Chart Designer is used to customize the design of your chart.

52. Chart Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Chart Designer is used to customize the design of your chart.
• It lets you customize each and every minute details related to your chart, which
allows you to represent and visualize your data exactly the way you want.

53. Chart Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Chart Designer is used to customize the design of your chart.
• It lets you customize each and every minute details related to your chart, which
allows you to represent and visualize your data exactly the way you want.
• QueryIO provides support for numerous chart type namely
 Line Chart
 Bar / Tube / Cone Chart
 Pie Chart
 Area Chart
 Bubble Chart
 Scatter Chart
 Meter Chart
 Stock Chart
 Difference Chart
 Gantt Chart
 Pyramid Chart
 Radar Chart

54. Chart Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Chart Designer can be used to:

55. Chart Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Chart Designer can be used to:
 Add/Delete Chart
To add a new chart for the current Query or delete an existing chart.

56. Chart Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Chart Designer can be used to:
 Add/Delete Chart
To add a new chart for the current Query or delete an existing chart.
 Clone Chart
To create exact copy of an existing chart.

57. Chart Designer
Hadoop Based SQL and Big Data Analytics
Solution
• Chart Designer can be used to:
 Add/Delete Chart
To add a new chart for the current Query or delete an existing chart.
 Clone Chart
To create exact copy of an existing chart.
 Edit Chart Preferences
To edit the chart preferences for selected chart.

58. Chart Preferences
Hadoop Based SQL and Big Data Analytics
Solution
• Chart Preference UI is divided into three sections :

59. Chart Preferences
Hadoop Based SQL and Big Data Analytics
Solution
• Chart Preference UI is divided into three sections :
 First section shows the configurable categories.

60. Chart Preferences
Hadoop Based SQL and Big Data Analytics
Solution
• Chart Preference UI is divided into three sections :
 First section shows the configurable categories.
 Second section displays live preview of the chart. Any update in the
properties are instantly reflected to the preview.

61. Chart Preferences
Hadoop Based SQL and Big Data Analytics
Solution
• Chart Preference UI is divided into three sections :
 First section shows the configurable categories.
 Second section displays live preview of the chart. Any update in the
properties are instantly reflected to the preview.
 Third section displays all the configurable properties that can be applied on
the chart, according to selected category.

62. SpreadSheet Viewer
Hadoop Based SQL and Big Data Analytics
Solution

63. SpreadSheet Viewer
Hadoop Based SQL and Big Data Analytics
Solution
• QueryIO provides support for spreadsheet viewer, an excel like spreadsheet with
all the layers of business intelligence.

64. SpreadSheet Viewer
Hadoop Based SQL and Big Data Analytics
Solution
• QueryIO provides support for spreadsheet viewer, an excel like spreadsheet with
all the layers of business intelligence.
• Result of all the queries executed can be viewed in Spread Sheet Viewer for
further processing.

65. SpreadSheet Viewer
Hadoop Based SQL and Big Data Analytics
Solution
• QueryIO provides support for spreadsheet viewer, an excel like spreadsheet with
all the layers of business intelligence.
• Result of all the queries executed can be viewed in Spread Sheet Viewer for
further processing.
• Spreadsheet viewer allows sheet creation, viewing, and editing processes. It also
supports Undo & redo, Merge-able cells, Easy creation of custom formula
functions and variables, full screen mode for better viewing, printing reports and
many more features.

66. Download QueryIO Now!
http://QueryIO.com/download/big-data-analytics-download.html
OR
Take a Demo
http://demo.QueryIO.com/queryio
Hadoop Based SQL and Big Data Analytics
Solution
“Its Free”