Knowledge Hut

NOVEMBER 17, 2023

Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java. Big Data Technologies You must explore big data technologies such as Apache Spark, Hadoop, and related Azure services like Azure HDInsight.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

Knowledge Hut

SEPTEMBER 26, 2023

We as Azure Data Engineers should have extensive knowledge of data modelling and ETL (extract, transform, load) procedures in addition to extensive expertise in creating and managing data pipelines, data lakes, and data warehouses. Programming languages like Python, Java, or Scala require a solid understanding of data engineers.

Certification 52

Certification Data Engineering Data Engineer Engineering 52

Edureka

FEBRUARY 9, 2023

In this blog on “Azure data engineer skills”, you will discover the secrets to success in Azure data engineering with expert tips, tricks, and best practices Furthermore, a solid understanding of big data technologies such as Hadoop, Spark, and SQL Server is required.

Data Engineering 52

Data Engineering Data Engineer Engineering Data Mining 52

ProjectPro

JANUARY 19, 2022

Data engineers must thoroughly understand programming languages such as Python, Java, or Scala. ETL (extract, transform, and load) techniques move data from databases and other systems into a single hub, such as a data warehouse. Get familiar with popular ETL tools like Xplenty, Stitch, Alooma, etc.

Data Engineering 52

Data Engineering Data Engineer Engineering Scala 52

ProjectPro

JULY 27, 2021

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Data architects require practical skills with data management tools including data modeling, ETL tools, and data warehousing. How does Network File System (NFS) differ from Hadoop Distributed File System (HDFS)? Briefly define COSHH.

Data Engineering 40

Data Engineering Data Engineer Engineering Hadoop 40

AltexSoft

OCTOBER 21, 2022

The technology was written in Java and Scala in LinkedIn to solve the internal problem of managing continuous data flows. The hybrid data platform supports numerous Big Data frameworks including Hadoop and Spark , Flink, Flume, Kafka, and many others. Kafka vs Hadoop. The Good and the Bad of Katalon Automation Testing Tool.

Kafka 93

Kafka Hadoop ETL Tools Big Data 93