Knowledge Hut

DECEMBER 27, 2023

The more effectively a company is able to collect and handle big data the more rapidly it grows. Because big data has plenty of advantages, hence its importance cannot be denied. Ecommerce businesses like Alibaba, Amazon use big data in a massive way. We are discussing here the top big data tools: 1.

Big Data Tools 59

Big Data Tools Big Data Hadoop Database-centric 59

ProjectPro

JANUARY 19, 2022

Experience with using cloud services providing platforms like AWS/GCP/Azure. Knowledge of popular big data tools like Apache Spark, Apache Hadoop, etc. Good communication skills as a data engineer directly works with the different teams. To do that, a data engineer is likely to be expected to learn big data tools.

Data Engineering 52

Data Engineering Data Engineer Engineering Amazon Web Services 52

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Apache Spark, Microsoft Azure, Amazon Web services, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

ProjectPro

AUGUST 24, 2021

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. MongoDB stores the processed and aggregated results.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52