The role of data engineers has become crucial in generating insights in order to make informed business decisions.
For the past few years, we have seen a high demand for hiring data scientists among organisations. While this demand goes up, it has been noticed that due to the increasing use of big data and the large chunks of structured and unstructured data, the data engineering roles have seen a rise among organisations. A lot of this could be attributed to the rising significance of data engineers who “primarily transform data into pipelines for the data science team” and “lay the foundation in most data science projects.”
Your Data Architecture: Simple Best Practices for Your Data Strategy. Don't miss this helpful article.
Understand how data changes in a fast growing company makes working with data challenging. In the last article, we looked at how users view data and the challenges they face while using data.
Understanding how users view data and their pain points when using data. In this article, I would like to share some of the things that I have learnt while managing terabytes of data in a fintech company.
Intro to Data Engineering for Data Scientists: An overview of data infrastructure which is frequently asked during interviews
Know the Difference Between a Data Scientist and a Data Engineer. Big data engineer certification and data science certification programs stand resourceful for those looking to get into the data realm.