I’ve talked about Data Preparation many times in conferences such as PASS Summit, BA Conference, and many other conferences. Every time I talk about this I realize how much more I need to explain this. Data Preparation tips are basic, but very important. In my opinion as someone who worked with BI systems more than Read more about Data Preparation; First and Foremost Important Task in Power BI[…]
It is a honor for me that I’ve been selected to speak in Microsoft Ignite New Zealand 2015. Microsoft Ignite New Zealand 2015 (TechED) is an annual conference for developers and IT professionals put on by Microsoft. It is held in several locations around the world. and it’s the biggest annual technology event in New Zealand. This conference gives Read more about I’ll Speak in Microsoft Ignite (TechED) New Zealand 2015; First time[…]
In this Video I tried to gather some information about Dog Breeds from different 3 websites : http://www.mans-best-friend.org.uk/dog-breeds-alphabetical-list.htm http://www.dogbreedslist.info/ https://en.wikipedia.org/wiki/List_of_dog_breeds I have explained how to get data from these websites even they don’t provide any API.
Predictions always matter; it is always nice to find a pattern in existing data. It will help to have a more accurate decision-making. These days, I am busy with designing and implementing a prototype for tourist recommendation system. I need to use variety of data mining algorithm such as “clustering” “Decision Tree”, “Regression”, “Neural Network”. All of these algorithms accept inputs with different data types. These inputs are the main factors that will affect the predictions.
It has been long time passed from my presentation in Hong Kong TechDays 2015 on Mid February, I’ve been really busy so far and hadn’t chance to upload my presentation files here. I would like to thank all audience of my session on Azure Data Factory vs. SSIS, and provide you the link to my presentation slides. In this session you will see comparison between SSIS and Azure Data Factory on different factors such as developments, features, deployments, user experience, environment, and etc. For each comparison factor you will see a table comparison of these two products and their pros and cons for different situation.
Power BI Designer is the new Editor for Power BI main components which are: Power Query, Power Pivot, and Power View. Power BI Designer made building Power BI solutions easier with an integrated solution. Power BI Designer’s files can be easily uploaded into Power BI site. In this tutorial video you will learn basics of Power BI Designer, some demos of this product, getting data from FIFA 2014 World Cup website, and creating charts and dashboards. In the demo you will also learn how to deploy the report to Power BI site, and how to view the dashboard and report from Power BI app.
This is the first part which published at the last! I previously published 7 posts for the series of “I’m New to BI, Where to Start?”. However I got some feedback from audience that are not coming from the world of Database, and they are not familiar with relational database structure, primary keys, foreign keys, constraints, indexes, T-SQL…. So I felt the requirement for a preliminary post that links to some references to have better understanding of prerequisites to starting BI. Business Intelligence is the art of fetching information to support decisions based on the story behind the data. With this definition the first and foremost prerequisite is to understand data and how to work with it.
Many organizations nowadays are in transition from on-premises to cloud, and many of them use hybrid solutions where part of the computing will be done in cloud and the rest on-premises. The trend nowadays is to use cloud to have better maintenance, lower costs, more reliable solutions, lower administrative efforts, and powerful shared resources. In BI world there is a high demand for solutions to be on cloud, some computing services such as data transfer and ETL to be done on cloud, some data analysis and mining solutions happens on cloud, and even data to be stored on cloud data warehouse at some stage. There are many BI vendors in the market, but there are few who provide BI on the cloud.
Data Scientist is a hot job nowadays in the market and there are lots of demand for it. Data Science origins from the BI field and sits under umbrella of Business Intelligence, because the data science and data mining helps decision makers in their decision making process. To have an idea about how data mining can solve real world issues, think about loyalty program of the super market that you usually use close to your home. Loyalty program simply analyze your purchase history and based on that it comes up with some suggestion and prediction about your next purchases and will promote that through your cell phone text messages or email or even flyers directly addressed to your home address.
Power BI is not a strange word these days, there are many blog posts, videos, news, and speakings about it. Power BI is Microsoft Cloud BI services that released recently. Power BI is not only Cloud BI but also it offers good self-service BI stack as well. Power BI has five main components which are:
- Power Query: For data extraction, transformation, and load into model.
- Power Pivot: Data Modelling tool.
- Power View: Data Visualization tool
- Power Map: 3D Geo-spatial data visualization tool.
- Power Q&A: Engine for natural language questions and answering