Pivot 2.0 - The next generation visualization tool for your streaming data

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We have rearchitected Pivot from the ground up for enhanced dimensional analysis while ensuring that it is even faster, if that was even possible. Pivot 2.0 has plenty of new ways for you to visualize your data so that you can figure out the complex relationships between your data and enhanced the comparative analysis to quickly gain insight. In this webinar, will walk you through the exciting new features that are coming soon to Pivot.

Technology

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Pivot 2.0 Webinar

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What is Pivot 2.0
2
● Pivot 2.0 is an exciting new framework for Imply's visualization layer
● Expands on the fantastic features of Druid
● Increases the analytical capabilities

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Foundational aspects of Pivot 2.0
3
Query only what
you need
Advanced
Dimensional
Analysis
Comparative
Analysis
SQL Based
Pixel Perfect
Customizations

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Confidential. Do not redistribute.
Query only what you see
4
● Queries only what you see on the screen
● Takes advantage of Druid’s ability to run small queries extremely fast
● Minimize load on the server
● Excellent for adhoc- interactive analysis

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Confidential. Do not redistribute.
Query along many more dimensions
5
● More expressive queries
● More types of visualizations
● Higher levels of customizations of each type of visualization

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Advanced Comparisons
6
● Relative Time
● Specific Time
● Delta Filters
● Measures

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SQL Based
7
● SQL - Universal language of data
● Makes full use of Druid capabilities like Grouping Sets
● Make calculations also based on SQL

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Pixel Perfect Customizations
8
● Color modifications
● Changes to axis
● Line and area renderings

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9
Pivot 2.0 Alpha
5 Viz Types
Comparisons
Pivot upcoming roadmap
Pivot 2.0 Beta
Add to Dashboards
11 more visualizations
Downloads
Q2 FY 2021 Q3 FY 2022
Q1 FY 2022 Rest of FY 2022
Pivot 2.0 GA
All existing Pivot functionalities
Customization of axis, colors and more
Additional BI visualizations
Completely SQL based
Advanced Customizations
On the fly calculations

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10
Q&A Session

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Thank you!
11

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This presentations targets students or working professionals. You may know Google for search, YouTube, Android, Chrome, and Gmail, but did you know Google has many developer tools, platforms & APIs? This comprehensive yet still high-level overview outlines the most impactful tools for where to run your code, store & analyze your data. It will also inspire you as to what's possible. This talk is 50 minutes in length.

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2. Confidential. Do not redistribute. ©Imply Confidential. Do not redistribute. What is Pivot 2.0 2 ● Pivot 2.0 is an exciting new framework for Imply's visualization layer ● Expands on the fantastic features of Druid ● Increases the analytical capabilities

3. Confidential. Do not redistribute. ©Imply Confidential. Do not redistribute. Foundational aspects of Pivot 2.0 3 Query only what you need Advanced Dimensional Analysis Comparative Analysis SQL Based Pixel Perfect Customizations

4. Confidential. Do not redistribute. ©Imply Confidential. Do not redistribute. Query only what you see 4 ● Queries only what you see on the screen ● Takes advantage of Druid’s ability to run small queries extremely fast ● Minimize load on the server ● Excellent for adhoc- interactive analysis

5. Confidential. Do not redistribute. ©Imply Confidential. Do not redistribute. Query along many more dimensions 5 ● More expressive queries ● More types of visualizations ● Higher levels of customizations of each type of visualization

6. Confidential. Do not redistribute. ©Imply Confidential. Do not redistribute. Advanced Comparisons 6 ● Relative Time ● Specific Time ● Delta Filters ● Measures

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9. Confidential. Do not redistribute. ©Imply Confidential. Do not redistribute. 9 Pivot 2.0 Alpha 5 Viz Types Comparisons Pivot upcoming roadmap Pivot 2.0 Beta Add to Dashboards 11 more visualizations Downloads Q2 FY 2021 Q3 FY 2022 Q1 FY 2022 Rest of FY 2022 Pivot 2.0 GA All existing Pivot functionalities Customization of axis, colors and more Additional BI visualizations Completely SQL based Advanced Customizations On the fly calculations

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