Design patterns greatly speed development. The DP3000 & DP3100 design patterns create a data flow which tracks the current version of records in PSA based on a selected key field. The result is a new field in PSA called isCurrent
Posts by Paul B. Felix:
Many organizations have built data warehouses successfully, and some have failed. There’s no reason at all for you to learn the hard way. In this video I’m going to tell you what I believe are the top three reasons for
Our data is in PSA, and we have everything we need to build out a dimensional model. In this video we will define a conceptual model and use the LeapFrogBI Platform to automate the development of all required ETL. Finally,
We have a persistent staging area loaded with our YouTube Analytics data. Now we need to do a bit of data discovery to better understand how our requirements will best be met. With this information in hand we will be
Our YouTube data has been downloaded from the Reporting API, and we created a simple LeapFrogBI Platform project which will parse the downloaded flat files and load a persistent staging area. Now it’s time to deploy our project and load
We are on the road to getting our YouTube Analytics data into Power BI. So far we have created a simple console application that collects reports from the YouTube Reporting API. Now it is time to load the downloaded data
Now that we know a little bit about the YouTube Reporting API and OAuth 2.0, it is time to build a .NET console application that can interact with the Reporting API and automate the ongoing requirement to download our YouTube
YouTube’s Reporting API uses OAuth 2.0. In this video, we will use the Google Developer Console to create a project enabling our upcoming application to authenticate and gain authorization. We will also review the Reporting API quotas.
Would you like to use Power BI to analyze your YouTube Analytics data? Same here. In this first video, we briefly review the YouTube Reporting API which will be used to collect YouTube data. In subsequent videos, we will download
Your project has a single dimension data flow defined. Now it's time to complete an iterative deployment and load our target dimension. Success is only minutes away!
So far we've setup a project and created a stage component. Now it's time to define the rest our dimension data flow. To accomplish this at lightning speed we will solicit the help of a design pattern. Prepare to
Your project is setup. Now it is time to begin building a dimension data flow, and the first step in our data flow is a stage processes. In this video, we will create a process which will collect data