Remove Big Data Tools Remove Cloud Storage Remove Hadoop Remove MongoDB
article thumbnail

Top Big Data Tools You Need to Know in 2023

Knowledge Hut

No doubt companies are investing in big data and as a career, it has huge potential. Many business owners and professionals are interested in harnessing the power locked in Big Data using Hadoop often pursue Big Data and Hadoop Training. What is Big Data?

article thumbnail

Azure Data Engineer Skills – Strategies for Optimization

Edureka

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Insiders

Sign Up for our Newsletter

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

article thumbnail

20+ Data Engineering Projects for Beginners with Source Code

ProjectPro

So, work on projects that guide you on how to build end-to-end ETL/ELT data pipelines. Big Data Tools: Without learning about popular big data tools, it is almost impossible to complete any task in data engineering. Understand the importance of Qubole in powering up Hadoop and Notebooks.

article thumbnail

Data Pipeline- Definition, Architecture, Examples, and Use Cases

ProjectPro

In addition, to extract data from the eCommerce website, you need experts familiar with databases like MongoDB that store reviews of customers. AWS Glue You can easily extract and load your data for analytics using the fully managed extract, transform, and load (ETL) service AWS Glue.

article thumbnail

How to Become an Azure Data Engineer in 2023?

ProjectPro

Data engineers don't just work with conventional data; and they're often entrusted with handling large amounts of data. Hadoop, MongoDB, and Kafka are popular Big Data tools and technologies a data engineer needs to be familiar with.