Edureka

AUGUST 29, 2024

For small companies, the data engineer holds a generalist position where he basically does all it. Learn Key Technologies Programming Languages: Language skills, either in Python, Java, or Scala. Databases: Knowledgeable about SQL and NoSQL databases. Why Choose Data Engineering as a Career?

Data Engineering 40

Data Engineering Data Engineer Engineering Generalist 40

Knowledge Hut

NOVEMBER 28, 2023

Java Big Data requires you to be proficient in multiple programming languages, and besides Python and Scala, Java is another popular language that you should be proficient in. Kafka, which is written in Scala and Java, helps you scale your performance in today’s data-driven and disruptive enterprises.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

AltexSoft

FEBRUARY 11, 2023

This specialist supervises data engineers’ work and thus, must be closely familiar with a wide range of data-related technologies like SQL/NoSQL databases, ETL/ELT tools, and so on. 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

JUNE 20, 2023

Languages Python, SQL, Java, Scala R, C++, Java Script, and Python Tools Kafka, Tableau, Snowflake, etc. Data engineers play three important roles: Generalist: With a key focus, data engineers often serve in small teams to complete end-to-end data collection, intake, and processing.

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. Develop working knowledge of NoSQL & Big Data using MongoDB, Cassandra, Cloudant, Hadoop, Apache Spark, Spark SQL, Spark ML, and Spark Streaming 18. Cost: $400 USD 4.

Big Data 52

Big Data Certification Hadoop Kafka 52

Knowledge Hut

DECEMBER 26, 2023

Generalists They are typically responsible for every step of the data processing, starting from managing and making analysis and are usually part of small data-focused teams or small companies. NoSQL is a distributed data storage that is becoming increasingly popular. They are also accountable for communicating data trends.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98