Want to hire KSQL developer? Then you should know!
How and where is KSQL used?
- Real-time stream processing: Detecting anomalies
- Dynamic data filtering: Real-time fraud detection
- Complex event processing: Monitoring IoT devices
- Windowed aggregations: Analyzing website traffic
- Joining streams and tables: Enriching customer data
- Continuous queries: Tracking user behavior
- Session windows: Sessionizing user activity
- Geospatial processing: Tracking vehicle locations
- Temporal joins: Analyzing historical data
- Data enrichment: Enhancing product recommendations
Compare Junior, Middle, Senior, and Expert/Team Lead KSQL Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 0-2 years |
| $60,000 |
Middle | 3-5 years |
| $80,000 |
Senior | 6-8 years |
| $100,000 |
Expert/Team Lead | 9+ years |
| $120,000 |
Quick Facts about KSQL.
- Created in ’17, KSQL is like SQL for Kafka. It’s a stream processing language.
- Developers love using KSQL for real-time data processing in streaming projects.
- Entry to KSQL requires basic knowledge of SQL and understanding of Kafka concepts.
- Kafka is the most popular related technology used alongside KSQL for data streaming.
- Fun Fact: KSQL was inspired by the famous SQL language, adapted for stream processing.
TOP KSQL Related Technologies
- Apache Kafka (Confluent, 2011)
- Apache Avro (Doug Cutting, 2009)
- Apache Parquet (Apache Software Foundation, 2013)
- Apache Spark (Matei Zaharia, 2014)
- Apache Hadoop (Doug Cutting, 2006)
What are top KSQL instruments and tools?
- KSQL: Real-time data streaming SQL engine.
- Confluent: Company behind KSQL.
- Release Date: September 2017
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Maria Lapko
Global Partnership Manager