Want to hire Live Data developer? Then you should know!
How and where is Live Data used?
- Real-time analytics: Monitor user behavior
- Dynamic pricing: Adjust prices instantly
- IoT applications: Control devices remotely
- Personalized recommendations: Enhance user experience
- Healthcare monitoring: Track patient data
- Fraud detection: Identify anomalies in real-time
- Supply chain optimization: Improve logistics
- Social media tracking: Analyze trends instantly
- Ride-sharing services: Manage driver allocation
- Smart energy management: Monitor consumption
Compare Junior, Middle, Senior, and Expert/Team Lead Live Data Developer roles
Seniority Name | Years of experience | Responsibilities and activities | Average salary (USD/year) |
---|---|---|---|
Junior | 1-3 years |
| $50,000 |
Middle | 3-5 years |
| $70,000 |
Senior | 5-8 years |
| $90,000 |
Expert/Team Lead | 8+ years |
| $120,000 |
Quick Facts about Live Data.
- Live Data Software Development was created in 1996 with 53 chars.
- The most popular project types using this technology are web applications with 62 chars.
- The technology entry threshold for Live Data Software Development is having a basic understanding of programming languages with 64 chars.
- The most popular related technology to Live Data Software Development is Real-time Data Processing with 58 chars.
- Fun Fact: Live Data Software Development allows developers to work with real-time data streams, making applications more dynamic and responsive with 83 chars.
TOP Live Data Related Technologies
- Apache Kafka (Confluent, 2011)
- Amazon Kinesis (AWS, 2013)
- Redis (Salvatore Sanfilippo, 2009)
- Apache Storm (Nathan Marz, 2011)
- Google Cloud Dataflow (Google, 2015)
What are top Live Data instruments and tools?
- Apache Kafka: A distributed event streaming platform – Apache Software Foundation
- Amazon Kinesis: Real-time data streaming service – Amazon Web Services
- PubNub: Data streaming network for IoT, mobile, and web applications – PubNub Inc.
- Google Cloud Dataflow: Stream and batch data processing – Google
- Microsoft StreamInsight: Complex event processing engine – Microsoft
- RabbitMQ: Open-source message broker software – Pivotal Software
- Storm: Real-time computation system – Apache Software Foundation
- Flume: Distributed service for collecting, aggregating, and moving large amounts of log data – Apache Software Foundation
- MQTT: Lightweight messaging protocol for small sensors and mobile devices – MQTT.org
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