Scala with Spark refers to the use of the Scala programming language in conjunction with Apache Spark, a powerful open-source distributed computing framework. Scala, a statically-typed language that runs on the Java Virtual Machine (JVM), is a preferred language for Spark development due to its seamless integration with Spark's APIs and its functional programming capabilities. Apache Spark is designed for large-scale data processing and analytics, offering high performance through in-memory computing and distributed data processing. By using Scala with Spark, developers can leverage Scala's concise syntax and strong type system to write efficient and scalable data processing applications. This combination provides a robust environment for tasks such as data transformation, machine learning, and real-time stream processing, making it a popular choice for big data analytics and complex data workflows.
Abhinav Gupta, Pune
(5.0)The training was very useful and interactive. Rajesh helped develop the confidence of all.
Indrayani, India
(5.0)Rajesh is very good trainer. Rajesh was able to resolve our queries and question effectively. We really liked the hands-on examples covered during this training program.
Ravi Daur , Noida
(5.0)Good training session about basic Flutter concepts. Working session were also good, howeverproper query resolution was sometimes missed, maybe due to time constraint.
Sumit Kulkarni, Software Engineer
(5.0)Very well organized training, helped a lot to understand the HTML concept and detailed related to various tools.Very helpful
Vinayakumar, Project Manager, Bangalore
(5.0)Thanks Rajesh, Training was good, Appreciate the knowledge you poses and displayed in the training.
Abhinav Gupta, Pune
(5.0)The training with DevOpsSchool was a good experience. Rajesh was very helping and clear with concepts. The only suggestion is to improve the course content.