Knowledge Hut

JUNE 23, 2023

Data architecture to tackle datasets and the relationship between processes and applications. Coding helps you link your database and work with all programming languages. You should be well-versed in Python and R, which are beneficial in various data-related operations.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Cloud Academy

JANUARY 27, 2022

These fundamentals will give you a solid foundation in data and datasets. Knowing SQL means you are familiar with the different relational databases available, their functions, and the syntax they use. Apache Hadoop Introduction to Google Cloud Dataproc Hadoop allows for distributed processing of large datasets.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

ProjectPro

JANUARY 19, 2022

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. Relational and non-relational databases are among the most common data storage methods. Learning SQL is essential to comprehend the database and its structures. The final step is to publish your work.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JANUARY 31, 2023

MapReduce is a Hadoop framework used for processing large datasets. Another name for it is a programming model that enables us to process big datasets across computer clusters. Hadoop can execute MapReduce applications in various languages, including Java, Ruby, Python, and C++. What is MapReduce in Hadoop?

Big Data 52

Big Data Hadoop AWS Relational Database 52