Tag: Data Warehouse
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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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Importance of Real-time Data Analytics
Real-time (or better say near real-time) analytics make sense of all the real-time data that passing around an organization. Once a business is able to analyze data in real-time, they can generate insights during data streaming instead of storing and analyzing it in batches. Traditionally, data analysis happens once the data has been captured and…
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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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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…