Tag: data sciences
#simpledata: A flourish data visualization of major Swedish Political parties
I really like good meaningful visualizations of data that I am interested in, I am also very interested in visualization tools or SaaS solutions that are easy to use.
What is flying above us
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, debris etc. that fly around our planet.
#datapipeline: YouTube Analytics to BigQuery with Airbyte
You cannot simply rely on YouTube to derive maximum value for your business. You need a combination of YouTube and Google’s BigQuery to make more robust analytical insights and, in turn, drive increased revenue and growth to your YouTube channel. This data pipeline will demonstrate how you can easily leverage Airbyte to do the job.
What is reverse ETL and why do you need it
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 is only realized when it is made actionable.
What is Reverse ETL?
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 and then transformed. The current trend is to adopt a new approach, called “reverse ETL,” the process of moving data from a data warehouse into third-party […]
How to build a centralized and secured Data Catalog on Google Cloud Platform
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 find data in the organization.
#Datapipeline: The T in ETL with SQL
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 T, the transform using a SQL statement.