Tag: big data
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Introducing Popular ETL Tool
As a person working in the data science industry for years, I have experienced with 6 different ETL tools for project implementations. For handling a new tool, I think it is likely for 3 working days to pick up the basic skills for implementation. Here’s an introduction to several popular ETL (Extract, Transform, Load) tools…
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Data Science & Design Thinking
Data Science is always being a hot topic in the market. Many people are seeking for Data Scientists to help their businesses. However, there are lots of failure cases in different industries. Why? Many technical people including data scientists are always focused on their own technical aspects like statistical model, machine learning algorisms, etc. On…
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Only 1 Project Management Approach in my Data Science Journey
As working in a leader role of a data science company, I would like to share my experience in managing different projects under different scales across industries. It could be concluded by one single word Iteration There is only one single project management approach being employed by our team. For this approach, it helps me…
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10 Myths of Data Science Exploded Totally
There are multiple myths floating around that add a false aura around data science roles and the related industry. The myths are built by people highlighting or even magnifying the benefits of data science with a number of use cases. I am always using my own term “verbal experts” to classify such people in the…
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Data Lake VS Data Warehouse
Vendors are always saying that Data Warehouses are legacy data management platforms which should be replaced by data lakes (or even worse situation as Hadoop to replace data warehouse). In this article, I would like to share my opinion on data warehouse and data lake by the team experiences. Unfortunately, vendors position data lakes as…
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Don’t abuse the term “AI” – Artificial Intelligence
There are lots of people introducing themselves as “AI experts” since 2017. However, I am not sure how many of them are understanding the difference between Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning (DL). Most of the self-claimed AI experts are doing some ML or DL tasks in a particular area like Object Recognition (image…