I’ve been writing for a while now about topics related to Data Warehousing. So far, I’ve written only 7 articles. But, I think they are worth reading if you are interested in Data Warehousing.
Some of them are quite basic. Others can be a little bit more complex and abstract. So, here’s a mini-guide about how I recommend reading them.
If you are completely new to Data Warehousing, I recommend starting in the next post. It comprises basic information about data lakes and data warehouses. …
You can experience several problems if you overlook these characteristics. For example, if reprocessing past data is something not easy to do. Or if introducing new changes to your data pipeline is a headache, you might have overlooked them.
Particularly, overlooking reproducibility and maintainability is an easy mistake to make. Especially, if you don’t know what it means or if you don’t plan enough for it.
In this post, I want to share with you some principles and lessons my team has learned trying to solve such problems…
There was a time I was a child,
Playing around was something I liked to try,
But there was a huge cliff I couldn’t bypass,
It was the chatter of the pack.
You might think what silly thing,
But there is no book about how to live for kids like me,
I just wanted to play, I just wanted to belong,
But what a hard thing is to get along.
Judgment is a human expression, It’s just not the one I was prepared to receive, But there is nothing I can do now, I just want to help you to…
I believe that professionals are more than the sum of their technical skills.
There are other skills I think are just as important as the technical ones, but they are overlooked sometimes, e.g., what is known today as soft skills.
I personally believe you can always teach technical skills. But, it is kind of difficult teaching soft skills or personal attributes. They are not as tangible as the technical ones. Also, measured them is not easy.
Furthermore, these kinds of skills require a lot of awareness of oneself as an individual that should thrive for self-actualization to learn them.
We are not aware of how we use our words. So, we usually use them in the wrong way. Too many times, we use them to put negativity into the world.
Words are a powerful tool that can change lives. So powerful, that they can make the world a better place.
I know it might sound silly and sometimes meaningless. But, is something you should try to see its worth.
I recently realized I’m a negative person. I don’t think I am. I even consider myself an optimist. But, that’s not how other people usually perceive me sometimes. …
If you are working with data and you are considering taking your first AWS certification, you might be wondering which is one is the right one for you.
This was a hard choice to make for me since there are 12 possible certifications one can take in AWS. I chose the AWS Developer Associate certification after some research. But it wasn’t easy.
That’s why I want to share my story. I hope this post sheds some light on how the AWS Developer certification can help to gain some new knowledge — especially if you are a Machine Learning Engineer.
I’m not going to lie to you. You’ve probably already read some of the things I going to say in this post. But, I do it anyway because it feels true to me.
Some of the things I want to share with you help me to keep writing. I just want to pass the lessons to keep you motivated in the process.
Also, I should warn you I’m not a fancy, famous writer. In fact, I’ve only published 13 stories after a year of writing. So, I’m only someone who is trying to learn through writing… And I’ve learned some…
In past posts, I’ve been talking about Data Warehouses, their basic architecture, and some basic principles that can help you to build one. Today, I want to show you an implementation of Data Warehouse on AWS based on a case study performed a couple of months ago.
This implementation uses AWS S3 as the Data Lake (DL). AWS Glue as the Data Catalog. And AWS Redshift and Redshift Spectrum as the Data Warehouse (DW).
Note: This post can be confusing if you are not familiar with some of the terminology and concepts I’m using here. …
A Data Warehouse is a component where your data is centralized, organized, and structured according to your organization's needs. It is used for data analysis and BI processes.
Data warehouses are not a new concept. In fact, the concept was developed in the late 1980s. But, it evolved over time.
The aim of this post is to explain the main concepts related to Data Warehouses and their use cases. Also, we’ll talk about Data Lakes and how these two components work together.
TL;DR — This post comprises basic information about data lakes and data warehouses. So, if you are familiar…
Taking absolute ownership when something goes wrong is something not easy to do. But, realizing there is no one else to blame but yourself is one of the best things you can do to be a better leader. In fact is one of the best things you can do in any area of your life.
This principle is known as Extreme Ownership. It is proposed by Jocko Willink and Leif Babin in their book Extreme Ownership.
Leif Babin tells the story of two teams performing boat races during the “Hell Week” of the Navy SEAL training program.
On this particular…