The Datanator
Bio
Just a regular dude, who likes to write and share all about Data stuff (and other interesting things).
Stories (8/0)
Building a Data Lakehouse in Azure with Databricks
If you want to create a modern data platform for your organisation, the Data Lakehouse could be one of the more promising solutions existing out there. In case of when you or your company are utilizing the Microsoft Azure Cloud, there are even more approaches and solutions existing. One of them is the usage of Databricks.
By The Datanator9 months ago in 01
What is the Zero-ETL Approach?
In the field of Data Engineering, we often hear about the so-called Zero- ETL approach, big cloud providers like Google, Microsoft & Co. They are bringing new services and tools to support this approach. In this regard, AWS is also entering the war against ETL like seen in the article linked down below:
By The Datanator9 months ago in 01
Why you need a Data Catalog
What are Data Catalogs and why do you need one? As organizations generate and collect ever-increasing amounts of data, effective data management is more important than ever. One way to improve data management is to use a data catalog, which can provide a number of benefits to both business users and IT teams. Simply put, a data catalog is a centralized inventory of all data assets in an organization. It provides a searchable and accessible repository of metadata, or data about the data, that describes the structure, content, and use of each record. The metadata can include information such as data sources, data owners, data provenance, data quality, and data definitions. A Data Catalog helps a company to become a data-driven enterprise and to build a profitable data culture.
By The Datanatorabout a year ago in 01
The Role of the CIO in building a Data Driven Culture
As the amount of data generated by businesses and organizations continues to increase, the role of the CIO (Chief Information Officer) in building a data driven culture becomes increasingly important. A data driven culture is one in which data is used to make decisions at all levels of the organization and in which data literacy and analytical skills are highly valued.
By The Datanatorabout a year ago in 01
5 Best Practices when building BI Dashboards
Business Intelligence or short BI dashboards and reports are an important tool for organizations to gain insights and make data-driven decisions. But developing and creating an effective and easy understandable dashboard requires careful planning, thoughtful design and attention to detail. In this article, I would like to share my top best practices when creating a BI dashboard.
By The Datanatorabout a year ago in 01
Python vs. SQL in Data Science
More and more companies are discovering Data Science and Analytics for themselves and are looking for corresponding experts. But which programming language is the best one to learn for this? Two of the most popular options are SQL and Python. Although both tools are powerful in their own way, they differ in terms of their capabilities, syntax, and applications. In this article, we will explore the differences between SQL and Python in the context of Data Science.
By The Datanatorabout a year ago in 01
Data Lake vs. Data Lakehouse
Data is everywhere nowadays. It can be collected from many sources such as maps, social media platforms, devices, etc. In order to work with the vast amounts of it, certain technology is needed. Here, Data Lakes and Data Lakehouses could come in handy, since both technologies work with Big Data and support and enable processes like Data Science and Data Analytics. This article, gives you theoretical background on these two solutions and also dives into their respective advantages and challenges.
By The Datanatorabout a year ago in 01
