AltexSoft

FEBRUARY 11, 2023

It serves as a foundation for the entire data management strategy and consists of multiple components including data pipelines; , on-premises and cloud storage facilities – data lakes , data warehouses , data hubs ;, data streaming and Big Data analytics solutions ( Hadoop , Spark , Kafka , etc.);

Data Architect 87

Data Architect Certification Generalist Big Data 87

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

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. Big Data Frameworks : Familiarity with popular Big Data frameworks such as Hadoop, Apache Spark, Apache Flink, or Kafka are the tools used for data processing.

Big Data 52

Big Data Certification Hadoop Kafka 52

Dataquest

JANUARY 25, 2017

Although tools like Hadoop and Spark and languages like Scala and Python are important to data engineering, it’s more important to understand the concepts well and know how to build real-world systems. Generalist A generalist data engineer typically works on a small team.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 52

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

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. Big Data Technologies: Aware of Hadoop, Spark, and other platforms for big data. Why Choose Data Engineering as a Career?

Data Engineering 40

Data Engineering Data Engineer Engineering Generalist 40

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. Hadoop Platform Hadoop is an open-source software library created by the Apache Software Foundation. These are as follows: 1.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98