Remove Generalist Remove Hadoop Remove Kafka Remove Relational Database
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15+ Must Have Data Engineer Skills in 2023

Knowledge Hut

Kafka Kafka is one of the most desired open-source messaging and streaming systems that allows you to publish, distribute, and consume data streams. Kafka, which is written in Scala and Java, helps you scale your performance in today’s data-driven and disruptive enterprises. Let's take a look at each of these groups.

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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

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.);

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How to Become a Data Engineer in 2024?

Knowledge Hut

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. Kafka Kafka is an open-source processing software platform. Hadoop is the second most important skill for a Data engineer.

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Top 20+ Big Data Certifications and Courses in 2023

Knowledge Hut

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. Database Management : knowing how to work with databases - both relational(like Postgres) and non-relational - is important for efficient storing and retrieval of data.

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97 things every data engineer should know

Grouparoo

55 Pipe Dreams Kafka was good because it had replaying of messages. 55 Pipe Dreams Kafka was good because it had replaying of messages. 95 Why Data Science Teams Need Generalists, Not Specialists Specialization can slow things down. Take requests and see how they fit into that. "Lineage" sounds useful for Grouparoo.