Khilitchandra V. Prajapati  · Power BI (Streaming Datasets) Author: Khilitchandra Prajapati...

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Khilitchandra V. Prajapati www.bigator.com

Transcript of Khilitchandra V. Prajapati  · Power BI (Streaming Datasets) Author: Khilitchandra Prajapati...

Page 1: Khilitchandra V. Prajapati  · Power BI (Streaming Datasets) Author: Khilitchandra Prajapati Created Date: 3/11/2018 1:08:47 PM ...

Khilitchandra V. Prajapati

www.bigator.com

Page 2: Khilitchandra V. Prajapati  · Power BI (Streaming Datasets) Author: Khilitchandra Prajapati Created Date: 3/11/2018 1:08:47 PM ...

Agenda Introduction & Architecture

Streaming Datasets in Power BI & Types

Demo

Q & A

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Page 4: Khilitchandra V. Prajapati  · Power BI (Streaming Datasets) Author: Khilitchandra Prajapati Created Date: 3/11/2018 1:08:47 PM ...

Types of Streaming Datasets

Push

Streaming

PubNub

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Push

Azure SQL(Provisioned by Power BI Service)

Power BI Service

Incoming Data

Direct Query

Data automatically refresh when pushed

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Push Advantages

Its Direct Query

Can build reports, custom visuals, Q & A, alerts etc.

Caveats Slower refresh times

API throttling limitations

When should we use General purpose

~3-5 seconds latency accepted

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Streaming

Redis Cache(Provisioned by Power BI Service)

Power BI Service

Incoming Data

Queried byStreaming Visuals

• Data goes into short-lived – Redis Cache store• Power BI connects to Redis Cache when Streaming Visual is active on Dashboard

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Streaming Advantages

Very quick refreshes (~ 1 Sec) Visuals optimized for real-time refresh scenarios Easy to build and integrate in Dashboard

Caveats Limited set of Visuals for Dashboard Can not create visual from Data directly Good panning is required

When should we use Absolutely need “Latest” data (up-to-date data)

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PubNub

PubNub Service

Power BI Service

Incoming Data

Queries for Streaming Visuals

• 70+ SDKs are available (https://www.pubnub.com/docs)• Power BI requests data from an existing PubNub Stream (https://www.pubnub.com/)

PubNub SDK

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PubNub Advantages

Very quick refreshes (~ 1 Sec) Visuals optimized for real-time refresh scenarios Easy to build and integrate in Dashboard

Caveats Limited set of Visuals for Dashboard (data lives @ PubNub) Can not create visual from Data directly Good panning is required

When should we use Absolutely need “Latest” data (up-to-date data)

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Before you start – Keep in mind Reduce to data volume down to only what you need to display on

Dashboard

For any deeper analysis/operations, store into Database, connect Power BI via import/live connection

Be aware of data volume limits (more on REST APIs)

Select proper columns for display on Dashboard

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Demo Time

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Some helper links https://docs.microsoft.com/en-us/power-bi/service-real-time-streaming

https://www.youtube.com/watch?v=0YIBHfgasok

https://www.pubnub.com/tutorials/microsoft-power-bi/streaming-business-data-to-dashboards/

https://blog.jongallant.com/2016/06/iot-dashboard-azure-iot-hub-powerbi/

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Q & A