Demand for data engineers is up by 50% in 2020 and there is a massive shortage. Here are 9 required skills that every data engineer must have
Explore Apache Airflow essentials and practical implementations in our article, providing a rich resource for understanding and applying this powerful tool.
Understand what is Apache airflow, its components and the features of Apache Airflow and automate daily tasks
Partitioning and bucketing in Hive are storage techniques to get faster results for the search queries. Learn about bucketing vs partitioning
Apache spark continues to be the first choice for the data engineers. Understand the difference between RDDs, Dataframes and Datasets in spark
Apache Hive is a data warehouse system developed by Facebook. Understand Apache Hive's architecture, working and basic operations
Data lake and data warehouse is very crucial for every big data engineer. Understand the difference between data lake and data warehouse.
Ace data science hackathons with the 12 powerful tips provided in the article. Cracking the top positions in in your hands!
NoSQL databases are important due to the sheer volume of data we produce in the present times. Learn about different types of NoSQL Databases
The aggregation pipelines in MongoDB provides you a framework to aggregate data and is built on the concept of the data processing pipelines.