Want to hire Azure Data Lake developer? Then you should know!
How and where is Azure Data Lake used?
- Data Analytics: Processing large datasets efficiently
- Machine Learning: Training models on massive data
- Data Warehousing: Storing and analyzing structured data
- Real-time Data Processing: Handling streaming data
- Data Archiving: Storing historical data for compliance
- Data Exploration: Exploring and visualizing data easily
- Data Integration: Combining data from various sources
- Data Security: Ensuring data privacy and compliance
- Data Backup: Safeguarding data against loss
- Data Governance: Managing data access and usage policies
Compare Junior, Middle, Senior, and Expert/Team Lead Azure Data Lake Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years | Responsibilities & Activities:
| $60,000 |
Middle | 2-4 years | Responsibilities & Activities:
| $80,000 |
Senior | 5-8 years | Responsibilities & Activities:
| $100,000 |
Expert/Team Lead | 8+ years | Responsibilities & Activities:
| $120,000 |
Quick Facts about Azure Data Lake.
- Azure Data Lake Software Development was created in 2016.
- Big data analytics and machine learning are popular project types using this technology.
- The entry threshold to start using Azure Data Lake is having basic knowledge of cloud computing.
- One of the most popular related technologies to Azure Data Lake is Azure Data Factory.
- Fun Fact: Azure Data Lake can handle an infinite amount of data, making it a bottomless data lake!
TOP Azure Data Lake Related Technologies
- Azure Data Factory
- Apache Spark
- Hadoop
- Databricks
What are top Azure Data Lake instruments and tools?
- Azure Data Lake Storage: Microsoft’s cloud storage service (2016)
- Azure Data Lake Analytics: Microsoft’s big data analytics service (2016)
- Azure Data Lake Tools for Visual Studio: Microsoft’s Visual Studio extension for data analytics (2016)
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