BI Insight
JANUARY 18, 2016
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. Agenda: Introduction to Power BI … Continue reading Webinar: Visualising Your Azure SQL Data Warehouse with Power BI. I would be very happy to have you all in the webinar.
BI Insight
JANUARY 18, 2016
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. Agenda: Introduction to Power BI … Continue reading Webinar: Visualising Your Azure SQL Data Warehouse with Power BI. I would be very happy to have you all in the webinar.
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BI Insight
JANUARY 25, 2016
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.
BI Insight
JANUARY 25, 2016
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.
ElegantJ BI
DECEMBER 7, 2017
In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.
ElegantJ BI
DECEMBER 7, 2017
In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.
ElegantJ BI
DECEMBER 7, 2017
In the past, preparing data for analysis was a time-consuming process, a task that was relegated to the IT team and involved complex tasks like Data Extraction, Transformation and Loading (ETL), access to data warehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.
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