Knowledge Hut

APRIL 25, 2024

Candidates should be able to construct database schemas that enable and represent business processes and automated unit tests and testing frameworks like JUnit and Jenkins. Therefore, having a solid grasp of the database is essential. The backend developer must make a relational mapping for the data to be accessible when needed.

Programming Language 98

Programming Language Java Algorithm MySQL 98

Knowledge Hut

JUNE 23, 2023

You should be well-versed with SQL Server, Oracle DB, MySQL, Excel, or any other data storing or processing software. Hard Skills SQL, which includes memorizing a query and resolving optimized queries. Other Competencies You should have proficiency in coding languages like SQL, NoSQL, Python, Java, R, and Scala.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Cloud Academy

JANUARY 27, 2022

Many of them are already familiar with SQL or have experience working with databases, whether they’re relational or non-relational. Get a basic understanding of SQL A second requirement is to have a basic understanding of SQL. These fundamentals will give you a solid foundation in data and datasets.

Data Engineering 52

Data Engineering Data Engineer Certification Engineering 52

Edureka

FEBRUARY 9, 2023

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.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JANUARY 31, 2023

It tests several platforms such as Hadoop, Teradata, Oracle, Microsoft, IBM, MongoDB, Cloudera, Amazon, and other Hadoop suppliers. This section covers the interview questions on big data based on various tools and languages, including Python, AWS, SQL, and Hadoop. Is SQL Good for Big Data? may be used with it.

Big Data 52

Big Data Hadoop AWS Relational Database 52

U-Next

AUGUST 3, 2022

Programming in several languages: Data Scientists frequently employ a variety of programming languages, including Python, R, C/C, SAS, Scala, and SQL. They demand good knowledge of non-relational databases, including MongoDB, DynamoDB, Casandra, Redis, and Oracle, as well as MySQL, SQL Server, PostgreSQL, Oracle, and others.

Retail 52

Retail Data Science Computer Science Entertainment 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.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52