Remove 2016 Remove Data Visualization Remove Data Warehouse
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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. 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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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. 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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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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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Microsoft also releases Power BI, a data visualization and business intelligence tool. There is Alibaba Cloud, Turbonomic, Terremark etc.

IBM cost 130
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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

Data Pine

It was lately revised and updated in January 2016. 8) Data Smart: Using Data Science to Transform Information into Insight, by John W. Best for: a somewhat technical reader who is good with Excel, but doesn’t know much about data science. Khan Analytic Philosophy: A Very Short Introduction by Michael Beaney.

Big Data 105
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Guarantee BI Success: Why Self-Serve BI Initiatives Fail

ElegantJ BI

If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. The ElegantJ BI Advanced Data Discovery, Smarten approach to BI tools, includes Plug n’ Play Predictive Analysis, Self-Serve Data Preparation and Smart Data Visualization.