[Member Access] Data Engineering using Kafka and Spark Structured Streaming by Durga Viswanatha Raju Gadiraju, Naga Bhuwaneshwar, Kavitha Penmetsa

Course Title
Data Engineering using Kafka and Spark Structured Streaming by Durga Viswanatha Raju Gadiraju, Naga Bhuwaneshwar, Kavitha Penmetsa

Description
Dive into the essential skills of data engineering with ‘Data Engineering using Kafka and Spark Structured Streaming’ by Durga Viswanatha Raju Gadiraju, Naga Bhuwaneshwar, and Kavitha Penmetsa. This course provides a practical foundation in building streaming pipelines by seamlessly integrating Kafka and Spark Structured Streaming. You will kick off with setting up your own self-support lab featuring Hadoop, Hive, Spark, and Kafka, giving you hands-on experience in a controlled environment. You’ll start by creating a Kafka topic where you’ll produce and consume messages, enhancing your understanding of data flow. Learn to utilize Kafka Connect for ingesting data not just from web server logs into Kafka but also from Kafka topics into Hadoop’s HDFS using the HDFS 3 Connector Plugin. This direct ingestion method underscores the practical application of Kafka in real-world scenarios. The course also delves into Spark Structured Streaming, where you’ll process data as part of your streaming pipelines and learn about incremental data processing strategies. By bridging the knowledge you gain from Kafka and Spark, you will build a robust streaming pipeline, enabling you to consume data from Kafka topics, process it, and write it to different targets. This course is structured to ensure you leave with clear, applicable skills in modern data engineering.

Why You Will Love This Course
Experience a practical approach to data engineering that empowers you to build real-world data streaming pipelines. You’ll gain hands-on experience and confidence in integrating Kafka with Spark, skills that are in high demand across industries. Unleash your potential and take your data engineering skills to the next level.

Who This Is For
This course is ideal for aspiring data engineers looking to gain real-world skills in streaming data processing. If you have a background in coding and are familiar with basic data engineering concepts, this is the perfect opportunity to deepen your expertise. It’s tailored for professionals seeking to enhance their portfolio or pivot to data engineering roles within tech organizations.

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