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Webinar: Visualising Your Azure SQL Data Warehouse with Power BI

BI Insight

It’s such an honor that I’m invited to speak in Pass Business Intelligence Virtual Chapter webinar which will be held on 23 Jan 2016. I would be very happy to have you all in the webinar. Agenda: Introduction to Power BI … Continue reading Webinar: Visualising Your Azure SQL Data Warehouse with Power BI.

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Webinar: Visualising Your Azure SQL Data Warehouse with Power BI

BI Insight

It’s such an honor that I’m invited to speak in Pass Business Intelligence Virtual Chapter webinar which will be held on 23 Jan 2016. I would be very happy to have you all in the webinar. Agenda: Introduction to Power BI … Continue reading Webinar: Visualising Your Azure SQL Data Warehouse with Power BI.

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Webinar Materials: Visualising Azure SQL DW with Power BI

BI Insight

In the previous post I announced that I will speak in “Visualising Your Azure SQL Data Warehouse with Power BI” webinar on 23 Jan 2016. The webinar host was Pass Business Intelligence Virtual Chapter. It was such an amazing experience for me to speak in the webinar and I would like to thank all 105 attendees.

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Webinar Materials: Visualising Azure SQL DW with Power BI

BI Insight

In the previous post I announced that I will speak in “Visualising Your Azure SQL Data Warehouse with Power BI” webinar on 23 Jan 2016. The webinar host was Pass Business Intelligence Virtual Chapter. It was such an amazing experience for me to speak in the webinar and I would like to thank all 105 attendees.

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Sisense’s Q2 Release: A Modern Data Experience Across the Analytics Continuum

Sisense

In-Warehouse Data Prep provides builders with the advanced functionality they need to rapidly transform and optimize raw data creating materialized views on cloud data warehouses. In-Warehouse Data Prep supports both AWS Redshift and Snowflake data warehouses. Additional capabilities.

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Unleash the Power of Advanced Analytics with the Sisense Q4 2019 Release

Sisense

The rapid growth of data volumes has effectively outstripped our ability to process and analyze it. The first wave of digital transformations saw a dramatic decrease in data storage costs. On-demand compute resources and MPP cloud data warehouses emerged. Optimize raw data using materialized views.

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How does Tableau power Salesforce Genie Customer Data Cloud?

Tableau

Traditionally, organizations built complex data pipelines to replicate data. Those data architectures were brittle, complex, and time intensive to build and maintain, requiring data duplication and bloated data warehouse investments. Cut costs by consolidating data warehouse investments.