Want to hire Azure Data Factory developer? Then you should know!
How and where is Azure Data Factory used?
TOP 10 Interesting Utilization Cases of Azure Data Factory Development
- Data Integration: Migrating data from on-premises to Azure Cloud
- Data Warehousing: Consolidating data from various sources
- Data Orchestration: Automating data workflows
- Data Transformation: Cleaning and transforming data for analysis
- Real-time Analytics: Processing streaming data for instant insights
- Data Movement: Moving data between different storage systems
- Machine Learning: Integrating data for training ML models
- Internet of Things (IoT): Handling data from IoT devices
- Big Data Processing: Processing large volumes of data efficiently
- Business Intelligence: Creating reports and dashboards for decision-making
Compare Junior, Middle, Senior, and Expert/Team Lead Azure Data Factory Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| $50,000 |
Middle | 2-5 years |
| $80,000 |
Senior | 5-8 years |
| $110,000 |
Expert/Team Lead | 8+ years |
| $140,000 |
Quick Facts about Azure Data Factory.
- Azure Data Factory was launched in the year 2015.
- Various ETL (Extract, Transform, Load) projects utilize this tech.
- To dive into Azure Data Factory, basic SQL skills are handy.
- Azure Databricks is a close companion technology to Azure Data Factory.
- An Azure Data Factory pipeline can be triggered by a tweet. How cool is that?
TOP Azure Data Factory Related Technologies
- Azure Data Lake Storage Gen2
- Azure SQL Database
- Azure Databricks
- Azure Synapse Analytics
- Azure Blob Storage
What are top Azure Data Factory instruments and tools?
- Azure Data Factory: Data integration service by Microsoft
- ADF Mapping Data Flows: Transform data at scale
- Azure Databricks: Unified analytics platform
- Azure Synapse Analytics: Cloud-based analytics service
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