Edureka

AUGUST 29, 2024

For small companies, the data engineer holds a generalist position where he basically does all it. Sometimes, students with a computer science background also prefer data engineer course to improve their skills specifically in the niche and get jobs quickly. Pursue a bachelor’s degree in computer science or related field.

Data Engineering 40

Data Engineering Data Engineer Engineering Generalist 40

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

NoSQL If you think that Hadoop doesn't matter as you have moved to the cloud, you must think again. Big resources still manage file data hierarchically using Hadoop's open-source ecosystem. You can consider getting one in computer science or computer engineering.

Data Engineering 52

Data Engineering Data Engineer Engineering Generalist 52

Knowledge Hut

SEPTEMBER 6, 2023

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. Intellipaat Big Data Hadoop Certification Introduction : This Big Data training course helps you master big data and Hadoop skills like MapReduce, Hive, Sqoop, etc.

Big Data 52

Big Data Certification Hadoop Kafka 52

Knowledge Hut

JUNE 20, 2023

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. 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

Dataquest

JANUARY 25, 2017

Data engineering skills A data engineer needs to be good at: Architecting distributed systems Creating reliable pipelines Combining data sources Architecting data stores Collaborating with data science teams and building the right solutions for them Note that we didn’t mention any tools above.

Data Engineering 52

Data Engineering Data Engineer Pipeline-centric Database-centric 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. They are required to have deep knowledge of distributed systems and computer science. These are as follows: 1.

Data Engineering 98

Data Engineering Data Engineer Engineering Pipeline-centric 98