ABOUT THE AUTHOR

Arkadiusz Kordos

Software Engineer

Arkadiusz Kordos is a Data Engineer with over ten years of experience in the field. Throughout his career, he has worked in the FinTech and public transport industries, including transport for London. He is proficient with SQL and NoSQL databases, public clouds, and data warehousing. His skillset extends to tools like Apache Airflow, AWS, Microsoft Azure, PostgreSQL, Snowflake, Redshift, and PySpark. In his current role, Arkadiusz supports clients with effective data processing to help them gain valuable insights.

Arkadiusz Kordos

CONNECT WITH ARKADIUSZ KORDOS

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Recent posts by Arkadiusz:

Thumbnail of an article about Normalization vs. Denormalization in databases
DATA

Normalization vs. Denormalization in databases

Databases are like the digital brains behind many of the apps and websites we use every day. Dive into two key techniques used to organize databases: normalization and denormalization.
Arkadiusz Kordos

Arkadiusz Kordos

Thumbnail of an article about What is data pipeline architecture? Definition and overview
DATA

What is data pipeline architecture? Definition and overview

Data pipelines are crucial in our data-driven world because they automate the flow of information, making it easier for businesses and organizations to make informed decisions, detect trends, and provide better services.
Arkadiusz Kordos

Arkadiusz Kordos

Thumbnail of an article about ETL vs. ELT — What are they and when do we need them?
DATA

ETL vs. ELT — What are they and when do we need them?

When we talk about data warehousing, we think of databases, which is only half of the solution. Data must be stored - this is why we need a database. But data must also be delivered into the database from a source. This is where ETL/ELT comes into the equation. Let's briefly explain what a data warehouse is and why we need one. It is a system used for storing and reporting data. Due to their design, data warehouses can process huge amounts of data, making lots of information available for business analytics.
Arkadiusz Kordos

Arkadiusz Kordos

Thumbnail of an article about SQL vs. NoSQL. The evolution of relational and non-relational databases
DATA

SQL vs. NoSQL. The evolution of relational and non-relational databases

Databases are tools used daily by companies of all kinds. They make storing and transforming large amounts of data possible, and they are necessary for any data-driven business. But they had to come a long way before they became the databases we know today. Let’s take a look at the history of databases and learn how and why SQL and NoSQL have come to life. Since we, as humans, started collecting data, we also needed a way to store it. So naturally, the concept of a database came before computers. In the computer world, databases came into existence in the early 60s, when in 1962, the Oxford Dictionary first recognized the term “database” as a software system that stores and retrieves data.
Multiple authors

Multiple authors

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