From AI to 5G: The technologies driving the future of smart homes
Imagine your home straight out of a sci-fi movie. You unlock the door with a sophisticated face recognition system or […]
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My Opinion on Data Quality
The Importance of Data Quality in Data Science Projects Once, I worked on a project where the dreams were high,
The last decade in data field
This article reflects on my past decade’s experiences and observations regarding the data market’s evolution. Over the years, data automation
News from Coalesce
Meanwhile, Coalesce.io is offering a fresh alternative for building modern data stacks. In February, this Snowflake-based tool might have dropped
BigQuery – Amdocs and Google Cloud unveiled Network AIOps
On February 26, Amdocs and Google Cloud unveiled Network AIOps. It’s a telecom tool that pairs BigQuery with Vertex AI
Unlocking the Power of GCP and BigQuery for Scalable Analytics
In today’s data-driven world, businesses must process enormous amounts of information to gain practical insights. Traditional data warehousing solutions often
Smarter Spreadsheets with the Semantic Layer
On February 11, a novelty popped up: dbt’s semantic layer for Excel and Google Sheets. Spreadsheets don’t budge from offices—you
Snowflake announced Integration Visual
On February 20, Snowflake announced Integration Visual, a feature powered by its Arctic AI revolutionizing analytical engineering. This tool lets
Apache Superset as a rising tool for analytical engineers
In mid-February, the Open Source Data Engineering Landscape 2025 report highlighted Apache Superset as a rising tool for analytical engineers.
How to Structure a Modern Data Stack: ETL -> BigQuery -> DBT -> Looker and Looker Studio
In the era of big data and cloud analytics, modern data stacks have become key, enabling businesses to scale, optimize
