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Azure Synapse vs Databricks: 2023 Comparison Guide

Knowledge Hut

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. Language Compatibility: Databricks provides extensive language compatibility, catering to data professionals with diverse skill sets. Key Features of Databricks 1.

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How to become Azure Data Engineer I Edureka

Edureka

An Azure Data Engineer is a professional who is responsible for designing and implementing the management, monitoring, security, and privacy of data using the full stack of Azure data services to satisfy the business needs of an organization.

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100+ Big Data Interview Questions and Answers 2023

ProjectPro

There are three steps involved in the deployment of a big data model: Data Ingestion: This is the first step in deploying a big data model - Data ingestion, i.e., extracting data from multiple data sources. Explain the data preparation process. Steps for Data preparation.