By now, every business owner can appreciate that data plays a significant role in everyday operations. If you want to unlock its full potential, though, you must ensure that it is embraced in all critical areas of the venture. …
Tag: data sciences
One of the things I like is how various type of data is used to tell stories through an Infographic. I recently discovered Statista, which has a great set of …
No, I am not going to talk about airplanes, I am going to share with you a link to a visualization that shows how to buy space is with satellites, …
Have you wanted to visualize the data that exists on your Linkedin account, I will be showing ways how you can download your data from Linkedin and use Python Notebook …
You cannot simply rely on YouTube itself to derive maximum value for your business. In fact, you need a combination of YouTube and Google’s BigQuery so you can make more …
Reverse ETL empowers data teams to easily prep bulk data, move it outside the cloud data warehouse, and operationalize it for their organization. Data is helpful, but its actual value …
The data engineering industry has evolved from Extract, Transform, Load (ETL) to ELT, where raw data is copied from the source system loaded into a data warehouse or data lake …
Time is money, to organize your data in a Data Catalog is one of the first steps to give visibility to organizations’ data and to save time by employees to …
If you read this I assume you are familiar with Extract Transform and Load (ETL), this is just a short article to show how you can do ETL and especially …
We have created a list of modern data stack technologies. The Modern Data Stack technologies are mostly SaaS-based technologies that comprise runs on a cloud-native data platform, generally leveraged to …
In this article, I will take you through the details of writing a Python Notebook code to extract data from Google Analytics (GA4) using the Google API Python library to …
