Big Data: Streaming (Spark&Kafka)
Course tailored to participants' expertise.
Streaming data processing with Apache Spark and Apache Kafka is a powerful combination for building real-time data pipelines and processing large volumes of data.
In this course, we’ll be learning how to use Apache Spark with a focus on Spark Streaming and its integration with Apache Kafka.
The integration of Apache Spark and Apache Kafka for streaming data processing provides a robust and scalable solution for handling real-time data streams, enabling organizations to build and deploy real-time analytics, monitoring, and decision support systems.
Versions: Spark 2.1, Kafka 0.10
Prerequisites: Java, IDE (Eclipse, IDEA), Docker
Useful: Scala
This course is taught in Romanian, with course materials available in either English, or Romanian. The course can be customized - on request.
TOPICS
6
TOPICS
5
TOPICS
3
Contact Us
Feel free to leave us your thoughts so we can discover the solution together!
academy@esolutions.ro
Get in touch
0753.029.187
Our address
20 Constantin Budisteanu Street , 1 st. District, Bucharest
academy@esolutions.ro
Get in touch
0753.029.187
Our address
20 Constantin Budisteanu Street , 1 st. District, Bucharest
Related Courses
This course covers the main concepts in Apache NiFi and its potential in automated data flow between systems, providing efficient data ingestion, transformation, and routing.
This course covers the main concepts in Apache Storm and its potential in use cases such as real-time analytics, continuous computation, and event-driven apps.
This course covers the usage and applicability of big data technologies and concepts necessary for architecting and building a big data architecture.
This introductory course covers common use cases for Cassandra, its key features, storage architecture, and more.
