Business Intelligence meets Data Engineering with Emerging Technologies


Business Intelligence made easy

Today we have more requirements with ever-growing tools and framework, complex cloud architectures, and with data stack that is changing rapidly. I hear claims: “Business Intelligence (BI) takes too long to integrate new data”, or “understanding how the numbers match up is very hard and needs lots of analysis”. The…

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Open-Source Data Warehousing – Druid, Apache Airflow & Superset


These days, everyone talks about open-source. However, this is still not common in the Data Warehouse (DWH) field. Why is this?

In my recent blog, I researched OLAP technologies, for this post I chose some open-source technologies and used them together to build a full data architecture for a Data Warehouse… Read more

These days, everyone talks about open-source. However, this is still not common in the Data Warehouse (DWH) field. Why is this?

In my recent blog, I researched OLAP technologies, for this post I chose some open-source technologies and used them together to build a full data architecture for a Data Warehouse…

Read more

OLAP, what’s coming next?


Are you on the lookout for a replacement for the Microsoft Analysis Cubes, are you looking for a big data OLAP system that scales ad libitum, do you want to have your analytics updated even real-time? In this blog, I want to show you possible solutions that are ready for… Read more

Are you on the lookout for a replacement for the Microsoft Analysis Cubes, are you looking for a big data OLAP system that scales ad libitum, do you want to have your analytics updated even real-time? In this blog, I want to show you possible solutions that are ready for…

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Data Engineering, the future of Data Warehousing?


Data Engineering, the future of Data Warehousing

Today, there are 6,500 people on LinkedIn who call themselves data engineers according to stitchdata.com. In San Francisco alone, there are 6,600 job listings for this same title. The number of data engineers has doubled in the past year, but engineering leaders still find themselves faced with a significant shortage…

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Data Warehouse vs Data Lake | ETL vs ELT


Data Lake vs Data Warehouse

There is a bit of a confusion between Data Warehouse vs Data Lake or ETL vs ELT. I hear that Data Warehouses are not used anymore, that they are replaced by Data Lakes altogether, but is that true? And why do we need Data Warehouses anyway? I will go into…

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