Remove ETL Tools Remove Kafka Remove MongoDB Remove Scala
article thumbnail

The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

Kafka 93
article thumbnail

How to Become an Azure Data Engineer? 2023 Roadmap

Knowledge Hut

Programming and Scripting Skills Building data processing pipelines requires knowledge of and experience with coding in programming languages like Python, Scala, or Java. Additionally, applicants seeking data engineer positions should be aware that most tools for data processing and storage use programming languages.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

Azure Data Engineer Certification Path (DP-203): 2023 Roadmap

Knowledge Hut

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.

article thumbnail

Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

They use technologies like Storm or Spark, HDFS, MapReduce, Query Tools like Pig, Hive, and Impala, and NoSQL Databases like MongoDB, Cassandra, and HBase. They also make use of ETL tools, messaging systems like Kafka, and Big Data Tool kits such as SparkML and Mahout.

article thumbnail

Azure Data Engineer Skills – Strategies for Optimization

Edureka

Data engineers must be well-versed in programming languages such as Python, Java, and Scala. Data is moved from databases and other systems into a single hub, such as a data warehouse, using ETL (extract, transform, and load) techniques. Learn about popular ETL tools such as Xplenty, Stitch, Alooma, and others.

article thumbnail

How to Become an Azure Data Engineer in 2023?

ProjectPro

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.

article thumbnail

100+ Data Engineer Interview Questions and Answers for 2023

ProjectPro

E.g. Redis, MongoDB, Cassandra, HBase , Neo4j, CouchDB What is data modeling? Prepare for Your Next Big Data Job Interview with Kafka Interview Questions and Answers How is a data warehouse different from an operational database? What is a case class in Scala? E.g. PostgreSQL, MySQL, Oracle, Microsoft SQL Server.