AltexSoft

FEBRUARY 11, 2023

If a company works wiIth medical datasets and documents outside healthcare facilities, it’s up to a data architect to take care of setting access restrictions, encryption, anonymization, and other security measures. Also, they must have in-depth knowledge of data processing languages like Python, Scala, or SQL.

Data Architect 87

Data Architect Certification Generalist Big Data 87

Knowledge Hut

NOVEMBER 28, 2023

Python Python is one of the most looked upon and popular programming languages, using which data engineers can create integrations, data pipelines, integrations, automation, and data cleansing and analysis. When data engineers process and visualize datasets, the data quality of the resulting data is extremely important.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Skills A data engineer should have good programming and analytical skills with big data knowledge. The generalist position would suit a data scientist looking for a transition into a data engineer.

Machine Learning 52

Machine Learning Data Engineering Data Engineer Engineering 52

Knowledge Hut

SEPTEMBER 6, 2023

Programming Languages : Good command on programming languages like Python, Java, or Scala is important as it enables you to handle data and derive insights from it. Engage in hands-on projects, work with real-world datasets, and practice using Big Data tools and platforms. Cost: $400 USD 4.

Big Data 52

Big Data Certification Hadoop Scala 52

Knowledge Hut

FEBRUARY 27, 2023

It is one of the key job roles that require various technical skills, supreme communication and soft skills, and deep knowledge of multiple programming languages. A data engineer can be a generalist, pipeline-centric, or database-centric. Who is Data Engineer, and What Do They Do?

Data Engineering 52

Data Engineering Data Engineer Database-centric Pipeline-centric 52

Knowledge Hut

DECEMBER 26, 2023

A simple usage of Business Intelligence (BI) would be enough to analyze such datasets. This job requires a handful of skills, starting from a strong foundation of SQL and programming languages like Python , Java , etc. They analyze datasets to find trends and patterns and report the results using visualization tools.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98