Masterclass Certificate in Streaming Data Engineering

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The Masterclass Certificate in Streaming Data Engineering is a comprehensive course that equips learners with essential skills for career advancement in today's data-driven world. This course focuses on the importance of streaming data engineering, a critical aspect of modern data architecture, and an in-demand skill set in the industry.

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Streaming data engineering involves processing and analyzing real-time data, enabling businesses to make informed decisions quickly and effectively. The course covers key concepts, tools, and best practices for designing, building, and operating streaming data pipelines. By the end of this course, learners will have hands-on experience with popular streaming data technologies such as Apache Kafka, Apache Flink, and AWS Kinesis. They will also have a deep understanding of data ingestion, processing, and delivery in real-time. This course is an excellent opportunity for data engineers, data analysts, software engineers, and anyone interested in pursuing a career in streaming data engineering. In summary, the Masterclass Certificate in Streaming Data Engineering is a valuable course that prepares learners for the growing demand for real-time data processing skills, providing them with a competitive edge in the job market and enabling them to add significant value to their organizations.

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โ€ข Unit 1: Introduction to Streaming Data Engineering

โ€ข Unit 2: Data Streaming Fundamentals

โ€ข Unit 3: Real-time Data Processing with Apache Kafka

โ€ข Unit 4: Data Streaming and Storage with Apache Cassandra

โ€ข Unit 5: Data Transformation with Apache Flink

โ€ข Unit 6: Streaming Analytics and Visualization

โ€ข Unit 7: Machine Learning and AI with Streaming Data

โ€ข Unit 8: Building End-to-End Streaming Data Pipelines

โ€ข Unit 9: Scaling and Monitoring Streaming Data Systems

โ€ข Unit 10: Best Practices and Design Patterns in Data Streaming

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MASTERCLASS CERTIFICATE IN STREAMING DATA ENGINEERING
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London School of International Business (LSIB)
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05 May 2025
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