U-Next

MARCH 1, 2023

A solid understanding of relational databases and SQL language is a must-have skill, as an ability to manipulate large amounts of data effectively. Data warehouses are databases that integrate transaction data from disparate sources and make them available for analysis. What is AWS Kinesis?

Data Engineering 75

Data Engineering Data Engineer Non-relational Database Engineering 75

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.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Knowledge Hut

JULY 26, 2023

Database Software- Other NoSQL: NoSQL databases cover a variety of database software that differs from typical relational databases. Key-value stores, columnar stores, graph-based databases, and wide-column stores are common classifications for NoSQL databases.

Database 52

Database NoSQL Telecommunication MongoDB 52

Knowledge Hut

APRIL 18, 2023

Boot camps, online courses, and other training programs that teach the skills needed to become a full-stack developer, including programming languages such as HTML, CSS, and JavaScript and backend technologies such as SQL, Python, and Node.js. They are expected to work with platforms and tools like AWS, GCP, Azure, etc.,

Computer Science 59

Computer Science Programming Language Java Education 59

Rockset

DECEMBER 31, 2022

The MLB uses a combination of AWS components to help process all this data. To streamline their business processes, Hess turned towards DynamoDB by shifting its E&P (Energy Exploration and Production) project onto AWS. Besides, the general data structures for analytics aren’t always well supported in key-value databases.

Non-relational Database 52

Non-relational Database Healthcare NoSQL Amazon Web Services 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