Knowledge Hut

JUNE 23, 2023

You should be thorough with technicalities related to relational and non-relational databases, Data security, ETL (extract, transform, and load) systems, Data storage, automation and scripting, big data tools, and machine learning. Pathway 2: How to Become a Certified Data Engineer?

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

JULY 26, 2023

It also has strong querying capabilities, including a large number of operators and indexes that allow for quick data retrieval and analysis. Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Columnar Database (e.g.-

Database 52

Database NoSQL Telecommunication MongoDB 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. Have knowledge of regular expressions (RegEx) It is essential to be able to use regular expressions to manipulate data.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Rockset

DECEMBER 31, 2022

Because of Duolingo’s global usage and need for personalized data, DynamoDB is the only database that has been able to meet their needs, both in terms of data storage and DevOps. All these data transactions require a system that is fast on both reads and writes.

Non-relational Database 52

Non-relational Database Healthcare NoSQL Amazon Web Services 52

Edureka

FEBRUARY 9, 2023

This demonstrates the high demand for Microsoft Azure Data Engineers. Every year, Azure’s usage graph grows, bringing it closer to AWS. These businesses are transferring their data and servers from on-premises to the Azure Cloud. Data engineers must be well-versed in programming languages such as Python, Java, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JANUARY 19, 2022

This indicates that Microsoft Azure Data Engineers are in high demand. Azure's usage graph grows every year, bringing it closer to AWS. These companies are migrating their data and servers from on-premises to Azure Cloud. Data engineers must thoroughly understand programming languages such as Python, Java, or Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JANUARY 31, 2023

Big Data is a collection of large and complex semi-structured and unstructured data sets that have the potential to deliver actionable insights using traditional data management tools. Big data operations require specialized tools and techniques since a relational database cannot manage such a large amount of data.

Big Data 52

Big Data Hadoop Relational Database AWS 52