How to mentor efficiently, picking up pace with the right resources

I’m dreading starting this article because I’m not sure how it will end or exactly what course it’ll take. I’m shy — my last published article was in February and to be honest, I’m not so proud of that. But I’m back now and that should count for something. Am I right?

I’ll give you a scoop on what I’ve been up to in the past couple of months. But before we get into this, I should give you a brief of what I’m going to be sharing with you. Today I tell you about my stance on mentorship and…


I really needed this article ! Will be very useful in my work.


Moving from Synapse Analytics to Databricks

Our love affair with Azure Synapse has suddenly come to an end. Today we’ll be learning about another great service provided by Microsoft. Databricks has its advantages. In that it processes data stored in storage houses such as Azure Blob storage, Azure Data Lake Store, data warehouses and databases. It also supports data streaming.

Transitioning from Synapse to Databricks shouldn’t be that big a deal. It offers similar basic functionality such as ingesting data, transforming data and exporting finished data. In this article, we will go through a basic ETL Process in Databricks just like we did in Synapse.

In…


1 month, 3 weeks and 2 days. That’s how long I’ve been a trainee data scientist. But who’s counting? No one. Right?

I’ll round it up till about a week or two ago. My task at work massively involved Machine learning. I was identifying trends and generating predictions to make sense of data that will guide business decisions. Of course, I didn’t have to do this alone. I got help from some trusted Machine Learning, and daresay friendly, algorithms. In a span of a few days, I had to read and master machine learning algorithms that I had only heard…


Starting with Azure Synapse Analytics — Data Flows style

In my last article about using Microsoft Azure Synapse Analytics, we covered how to navigate the platform and perform Data Analytics tasks using notebooks. For the benefit of those who are new here, let’s have a quick recap shall we. The platform is a Data Science tool used to process and analyze Big Data. Since it is in preview state, there is rather scanty information on how to seamlessly use Synapse.

Working with this tool requires that you ingest data from a source, transform the ingested data, and push the transformed data to a storage account of your choice, from…


One girl. Two Microsoft Azure certifications. My very first published article on Medium for my Data Science journey was on how I passed the Microsoft AZ-900 Azure Fundamentals. This past weekend, I wrote the DP-100 exam I introduced to you in a previous article. I’ll be frank here. I was very nervous about writing this exam and was hesitant to hint that I was in preparation to write it in the first place. But by God’s unending grace, I passed it and I am super grateful for that.

It’s been a long time coming. I can finally call myself a…


Starting with Azure Synapse Analytics — Notebook style

Today we are delving into Microsoft Azure Synapse Analytics. I am sharing this introductory article on how to use Synapse. This platform is a Data Science tool which aids in processing and analyzing Big Data. Since this platform workspace is in its preview state, there is not much information on it, especially when errors are encountered. Basically, to work with this analytics tool means ingesting data from a source, transforming data and pushing it back into a storage account. There are two ways of working with data in Synapse Analytics. This can be done through Notebooks or Data flows. In…


Mark this. On the 12th of October 2020, I started my first official job after graduation. I got the offer to work in a software company as a Junior Data Scientist. All my hard work of studying has paid off and I couldn’t be happier. If you have been following my data science journey you’d know how I started and probably appreciate where I have reached thus far. I was not entirely sure of how this article should go but I have decided now, to take you on a reflective journey. As I did on one Friday at work with…


In Week 8, I participated in the team hackathon I introduced in my previous article. Many thanks to my group members for the teamwork they demonstrated. One of my team members carried the presentation so effortlessly while the other worked on creating a machine learning module in Microsoft Azure. By now you’re itching to know what we worked on. Am I right? Okay, I’ll let you in. As unfortunate as has been, we are still living in a pandemic. It has affected us in many ways. It has rocked economies and taken away our dear ones. My heart goes out…


Photo by Olav Ahrens Røtne on Unsplash

Week 7. I will start with some good news. I am now a writer for the Noteworthy blog on Medium. After my last post, I was contacted to join them as a writer and share my articles on their page. Feels exciting to be recognized for doing something worthwhile.

As part of the Azubi program I have been on, I am preparing for a hackathon and another Microsoft certification examination (DP-100). This examination focuses on Designing and Implementing Data Science Solutions on Microsoft Azure. The hackathon is to be completed in teams, as such, my team and I have been…

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