Remove 2023 Remove Big Data Tools Remove Blog Remove ETL Tools
article thumbnail

20 Latest AWS Glue Interview Questions and Answers for 2023

ProjectPro

With over 20 pre-built connectors and 40 pre-built transformers, AWS Glue is an extract, transform, and load (ETL) service that is fully managed and allows users to easily process and import their data for analytics. How do you identify which version of Apache Spark is AWS Glue using?

AWS 52
article thumbnail

Azure Data Engineer Certification Path (DP-203): 2023 Roadmap

Knowledge Hut

Programming languages like Python, Java, or Scala require a solid understanding of data engineers. Data is transferred into a central hub, such as a data warehouse, using ETL (extract, transform, and load) processes. Learn about well-known ETL tools such as Xplenty, Stitch, Alooma, etc.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Azure Data Engineer Skills – Strategies for Optimization

Edureka

This position requires knowledge of Microsoft Azure services such as Azure Data Factory, Azure Stream Analytics, Azure Databricks, Azure Cosmos DB, and Azure Storage. As a result, businesses require Azure Data Engineers to monitor big data and other operations at all times.

article thumbnail

How to Become an Azure Data Engineer in 2023?

ProjectPro

Planning to land a successful job as an Azure Data Engineer? Read this blog till the end to learn more about the roles and responsibilities, necessary skillsets, average salaries, and various important certifications that will help you build a successful career as an Azure Data Engineer.

article thumbnail

100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

This blog is your one-stop solution for the top 100+ Data Engineer Interview Questions and Answers. In this blog, we have collated the frequently asked data engineer interview questions based on tools and technologies that are highly useful for a data engineer in the Big Data industry.