Professional Certificate in Building Streaming Pipelines
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โข Introduction to Streaming Data: Understanding the basics of streaming data, its sources, and its importance. โข Streaming Data Processing Technologies: Exploring various technologies used for processing streaming data, such as Apache Kafka, Amazon Kinesis, and Google Cloud Dataflow. โข Designing Streaming Pipelines: Learning the principles and best practices for designing and building streaming pipelines. โข Real-time Data Integration: Integrating real-time data from different sources into a single streaming pipeline. โข Data Quality and Validation: Ensuring the quality and validity of streaming data with real-time monitoring and alerting. โข Streaming Data Analytics: Analyzing streaming data in real-time, using tools such as Apache Flink, Apache Spark Streaming, and Apache Beam. โข Machine Learning with Streaming Data: Applying machine learning algorithms to streaming data for real-time predictive analytics. โข Security and Privacy in Streaming Pipelines: Ensuring the security and privacy of streaming data with encryption, access control, and compliance. โข Deployment and Scaling of Streaming Pipelines: Deploying and scaling streaming pipelines in production environments. โข Monitoring and Maintenance of Streaming Pipelines: Monitoring and maintaining streaming pipelines with logs, metrics, and alerts.
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