Knowledge Hut

JUNE 23, 2023

Let us look at the steps to becoming a data engineer: Step 1 - Skills for Data Engineer to be Mastered for Project Management Learn the fundamentals of coding skills, database design, and cloud computing to start your career in data engineering. You can also post your work on your LinkedIn profile.

Data Engineering 52

Data Engineering Data Engineer Engineering Non-relational Database 52

Knowledge Hut

APRIL 26, 2024

Another main aspect of this position is database design (RDBMS, NoSQL, and NewSQL), data warehousing, and setting up a data lake. This means they need to be very familiar with many database technology and management systems available, including those associated with big data (For example, Hadoop, Redshift, Snowflake and Cassandra).

Data Science 52

Data Science Machine Learning Hadoop Programming Language 52

Knowledge Hut

DECEMBER 26, 2023

The skills required to become a Business Intelligence Analyst are Database design, creation and maintenance, Data Mining and Analysis, Data Visualization tools like Tableau, Power BI, Data Security and Privacy, advanced SQL queries, ETL Framework, programming skills like Python, R, and familiarity with Cloud Technologies.

Data Science 97

Data Science BI Business Intelligence Data Mining 97

AltexSoft

FEBRUARY 11, 2023

Also, they must have in-depth knowledge of data processing languages like Python, Scala, or SQL. Your business needs optimization of the existing databases. A data architect can optimize your databases or make the relevant recommendations about the suitable database design.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

DECEMBER 29, 2023

A Data Engineer is someone proficient in a variety of programming languages and frameworks, such as Python, SQL, Scala, Hadoop, Spark, etc. NoSQL databases are often implemented as a component of data pipelines. Career Options: Information modeling engineer Data administrator Database architect D.

Data Science 98

Data Science Data Mining Deep Learning Programming Language 98

Knowledge Hut

MARCH 20, 2024

Full-Stack Engineer Front-end and back-end database design are the domains of expertise for full-stack engineers and developers. Together with designing the end-user interface and the complex systems and databases that operate it, they can work independently to design, create, and develop a whole working web application.

Software Engineer 52

Software Engineer Software Engineering Engineering Java 52

AltexSoft

OCTOBER 30, 2021

They are typically programmers or people with other IT degrees who became interested in automation and scripting tasks and acquired knowledge of SQL database design. Data engineers are well-versed in Java, Scala, and C++, since these languages are often used in data architecture frameworks such as Hadoop, Apache Spark, and Kafka.

Data Engineering 98

Data Engineering Data Engineer Engineering Machine Learning 98