This course teaches you how to build efficient streaming pipelines by integrating Kafka and Spark Structured Streaming. You will gain hands-on experience in setting up a self-support lab and processing real-time data, essential for modern data engineering.
Key Skills You Will Acquire
- Kafka topic creation: Learn to create and manage Kafka topics, enabling effective message production and consumption for your streaming applications, which is crucial for real-time data processing.
- Data ingestion techniques: Utilize Kafka Connect to ingest data from web server logs into Kafka topics, ensuring seamless data flow into your processing pipeline and enhancing data accessibility.
- Incremental data processing: Master Spark Structured Streaming to process data incrementally from Kafka topics, significantly enhancing the efficiency of your data processing workflows and reducing latency.
- Hadoop cluster setup: Set up a single node Hadoop cluster, integrating Hive, Spark, and Kafka to create a cohesive environment for data engineering tasks, allowing for streamlined data management.
By completing this course, you will acquire practical skills in data ingestion and processing, preparing you for real-world data engineering challenges.
Who This Course Is For
- Data analysts seeking to enhance their skills in real-time data processing and streaming technologies.
- Software developers interested in integrating Kafka and Spark for building scalable data pipelines.
- IT professionals aiming to expand their knowledge in big data technologies and streaming analytics.
File Details
Product page
Total Size: 4.3GB
How to Get Your Files:
– Enter your email address in the "Message" field at checkout.
– Your Google Drive access link will be emailed immediately after payment confirmation.
– Enjoy Lifetime Access to stream or download your files.
Important Notice:
By placing an order, buyers agree to abide by our standard Terms & Conditions.
Reviews
There are no reviews yet.