Azure Data Factory: An orchestration service that allows users to create, schedule, and manage data pipelines, enabling the movement and transformation of data across on-premises and cloud environments.
Azure Data bricks: A collaborative Apache Spark-based analytics platform that facilitates big data processing, data exploration, and machine learning, providing an interactive and scalable environment.
Azure Stream Analytics: A real-time analytics service for processing and analyzing streaming data in real-time, enabling quick insights and actions based on the continuous flow of data.
Azure Synapse Analytics (formerly SQL Data Warehouse): A powerful analytics service that brings together big data and data warehousing capabilities, providing an integrated platform for storing and analyzing large volumes of structured and unstructured data.
Azure Data Lake Storage: A scalable and secure data lake that allows organizations to store and analyze massive amounts of data with high performance.
Azure SQL Database: A fully managed relational database service in Azure, offering high availability, security, and scalability for structured data storage.
Azure HD Insight: A cloud-based service for big data analytics that supports popular open-source frameworks such as Hadoop, Spark, Hive, and others.
Azure Cosmos DB: A globally distributed, multi-model database service for building highly responsive and scalable applications, supporting various data models and APIs.
What Are The Skills Needed For Azure Data Engineer?
An Azure data engineer must possess a versatile skill set . This includes