Hiring Impala developers? Then you should know!
How and where is Impala used?
- Real-time Analytics: Processing data as it arrives
- Interactive BI: Quick analysis for business decisions
- Data Warehousing: Storing and managing large datasets
- Data Exploration: Discovering insights from raw data
- Data Science: Supporting machine learning tasks
- Log Analysis: Investigating system logs for troubleshooting
- IoT Data Processing: Handling vast amounts of sensor data
- Ad Hoc Queries: Instant queries for immediate results
- ETL Offloading: Extract, transform, load tasks acceleration
- High-Concurrency SQL: Handling multiple queries simultaneously
Compare Junior, Middle, Senior, and Expert/Team Lead Impala Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| $50,000 |
Middle | 3-5 years |
| $80,000 |
Senior | 6-8 years |
| $110,000 |
Expert/Team Lead | 9+ years |
| $150,000 |
Quick Facts about Impala.
- Impala Software Development was created in 2012.
- The most popular project types using Impala are big data analytics.
- The technology entry threshold for Impala is intermediate SQL knowledge.
- The most popular related technology to Impala is Apache Hadoop.
- Fun Fact: Impala is named after the fastest land animal, the impala, due to its speed in processing queries.
TOP Impala Related Technologies
- Apache Hadoop
- Cloudera Impala
- Apache Hive
- Apache Parquet
- Apache Avro
- Apache HBase
- Apache Kafka
- Apache Thrift
What are top Impala instruments and tools?
- Impala Query Editor: Released by Cloudera in 2012
- Impala Shell: Provided by Apache Impala in 2012
- Impala Daemon: Released by Apache in 2012
Talk to Our Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Maria Lapko
Global Partnership Manager