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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 DataWarehouse with Power BI. I would be very happy to have you all in the webinar.
A while ago I wrote a blog post about Azure SQL DataWarehouse and Power BI which I explained how to install a new instance of Azure SQL DataWarehouse and how to visualise your Azure SQL DW data in Power BI. The post Query Azure SQL DataWarehouse in SSMS and SSDT appeared first on 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 DataWarehouse with Power BI. I would be very happy to have you all in the webinar.
A while ago I wrote a blog post about Azure SQL DataWarehouse and Power BI which I explained how to install a new instance of Azure SQL DataWarehouse and how to visualise your Azure SQL DW data in Power BI. The post Query Azure SQL DataWarehouse in SSMS and SSDT appeared first on BI Insight.
billion US dollars in 2016, up from 29.3 The solution here is to consolidate all of this data, gathered from different points at different times along the course of the event and store it in one consolidated form in a DataWarehouse. One of the many things that datawarehouses allow is the chronological sifting of data.
In the previous post I announced that I will speak in “Visualising Your Azure SQL DataWarehouse 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.
In the previous post I announced that I will speak in “Visualising Your Azure SQL DataWarehouse 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.
In real world SSAS Tabular projects, you need to run many different testing scenarios to prove your customer that the data in Tabular model is correct. The post Automate Testing SSAS Tabular Models appeared first on BI Insight.
In organizations that operate without a datawarehouse or separate analytical database for reporting, the only source of the latest and up-to-date data may be in the live production database. For example, let’s assume 200 sales have been made in the year 2016, and we want to query for the number of sales per customer in 2016.
I look forward to another rewarding experience at the 2016 Summit. Since I couldn’t be in two places at the same time, I tried to make the choices that were most relevant to our team, our customers and our partners, and I chose the following sessions.
I look forward to another rewarding experience at the 2016 Summit. Since I couldn’t be in two places at the same time, I tried to make the choices that were most relevant to our team, our customers and our partners, and I chose the following sessions.
Do We Still Need a DataWarehouse – Roxanne Edijali. Navigating the Data Lake – Adam Ronthal. I look forward to another rewarding experience at the 2016 Summit. Interactive Visualizations for Everyone – Rita Sallam. Mobile BI – It’s Time to Innovate – Bhavish Sood.
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 datawarehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.
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 datawarehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.
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 datawarehouses and data marts and lots of complicated massaging and manipulation of data across other data sources.
In real world SSAS Tabular projects, you need to run many different testing scenarios to prove your customer that the data in Tabular model is correct. The post Automate Testing SSAS Tabular Models appeared first on BI Insight.
2012: Amazon Redshift, the first of its kind cloud-based datawarehouse service comes into existence. Fact: IBM built the world’s first datawarehouse in the 1980’s. 2016: Oracle launches with competencies across compute, storage, and networking. There is Alibaba Cloud, Turbonomic, Terremark etc.
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.
Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for datawarehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.
Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for datawarehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.
Stock brokerage firms around the world are now using Self-Serve Business Intelligence solutions with integrated functionality for datawarehouses (DWH), trading application, Customer Relationship Management (CRM) and other enterprise solutions.
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.
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.
When your organization can dive deep into data and spot trends and patterns, your team will gain valuable insight into the market, the competition and buying behaviors. ’ Original Source – Guarantee BI Success: Achieve!
When your organization can dive deep into data and spot trends and patterns, your team will gain valuable insight into the market, the competition and buying behaviors. ’ Original Source – Guarantee BI Success: Achieve!
If the value of the data, analysis and decision support is not persuasive, your business users will not adopt these business intelligence tools. Data Access. 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.
When your organization can dive deep into data and spot trends and patterns, your team will gain valuable insight into the market, the competition and buying behaviors. Data Source and Data Structural Review. ’ Original Source – Guarantee BI Success: Achieve!
Microsoft is Ending Support for Management Reporter Microsoft announced in 2016 that it would no longer be developing Management Reporter moving forward. You may be wondering, if Management Reporter is such a great reporting tool for D365 users, why are we talking about it on the insightsoftware blog? Well, there’s the rub.
The standard was issued in 2016 and became effective for public companies in 2019. The standard was issued by the International Accounting Standards Board (IASB) in 2016 and became effective for annual periods beginning on or after January 1, 2019.
With widely used versions like Crystal Reports 2016 and its server editions anticipating losing support on December 31, 2027, and Crystal Reports 2020 scheduled to end support by 2026, you’re left with limited time to determine how to move forward without disruptions to your business intelligence workflows.
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