AWS Cloud Computing Data Models Hadoop 
Data Science Connect
JANUARY 27, 2023
Familiarize yourself with essential data technologies: Data engineers often work with large, complex data sets, and it’s important to be familiar with technologies like Hadoop, Spark, and Hive that can help you process and analyze this data.
Precisely
MARCH 9, 2023
As cloud computing platforms make it possible to perform advanced analytics on ever larger and more diverse data sets, new and innovative approaches have emerged for storing, preprocessing, and analyzing information. Hadoop, Snowflake, Databricks and other products have rapidly gained adoption.
Pickl AI
APRIL 6, 2023
Understand the fundamentals of data engineering: To become an Azure Data Engineer, you must first understand the concepts and principles of data engineering. Knowledge of data modeling, warehousing, integration, pipelines, and transformation is required. What is Microsoft Azure?
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