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Learn the skills to take you into the next era of data engineering. Build real-time applications to process big data at scale.
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Learn how to process data in real-time by building fluency in modern data engineering tools, such as Apache Spark, Kafka, Spark Streaming, and Kafka Streaming. You’ll start by understanding the components of data streaming systems. You’ll then build a real-time analytics application. Students will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.
Learn how to analyze data in real-time using Apache Kafka and Spark, and build applications to process live insights from data at scale. You’ll start by understanding the components of data streaming systems. You’ll then build a real-time analytics application. You will also compile data and run analytics, as well as draw insights from reports generated by the streaming console.
This program is designed to upskill experienced Software Engineers and Data Engineers to learn the latest advancements in data processing, sending data records continuously to support live updating.
The projects in the Data Streaming program will prepare you to develop systems and applications capable of interpreting data in real-time, and position you for roles in all industries that require live data processing for functions including big data, cloud computing, web personalization, fraud detection, sensor monitoring, anomaly detection, supply chain maintenance, location-based services, and much more.
To be successful in this program, you should have intermediate Python and SQL skills, as well as experience with ETL.
The trainer for this Data Streaming Training has extensive experience in this domain, including years of experience training & mentoring professionals.
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