Beyond batch processing - real-time analytics at scale with Apache Flink (Level 300)

Real-time analytics are on the rise. Apache Flink is a popular purpose-built framework and distributed processing engine for large scale low latency data processing in real-time. In this session, we cover a brief overview of this popular framework, and a demo to build a real-time sentiment analysis application to analyze customer feedback with Apache Flink on Amazon Kinesis Data Analytics Studio.

Masudur Rahaman Sayem, Analytics Specialist Solutions Architect, AWS

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Modernize log analytics with Amazon OpenSearch Service (Level 200)
Modernize log analytics with Amazon OpenSearch Service (Level 200)

Organisations of all sizes use Amazon OpenSearch Service to handle their log analytics workloads.

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Move Apache Spark, Hadoop & other big data applications to the cloud with Amazon EMR (Level 300)
Move Apache Spark, Hadoop & other big data applications to the cloud with Amazon EMR (Level 300)

Organizations can use Amazon EMR to run petabyte-scale analysis using Apache Spark, Hadoop and other open s...