Matthew Liem

Autodesk tackled fragmented workflows and inconsistent experiences across its product portfolio by building the Autodesk Assistant Platform— a next-generation, agentic AI partner that unifies capabilities, anticipates needs, and performs complex tasks in collaboration with its human counterpart.

Unlock the full potential of your big data environment during this in-depth session on Amazon EMR and cost optimization strategies, tailored for data engineers, data architects, and cloud architects.

Organizations often want to enforce fine-grained data access controls across data lakes throughout a company. In this chalk talk, learn about what these controls are and how you can you enforce them when using Apache Spark, Presto, and Hive on Amazon EMR.

Running Apache Spark, Apache Hive, Apache Flink, and Presto workloads on Amazon EMR has never been faster or more cost-effective. In this session, explore the features that Amazon EMR offers to improve performance and reduce the cost of operating big data analytics workloads.

Amazon EMR allows you to natively run containers with the newly released Hadoop 3. In this builders session, we dive into the use cases, benefits, and workflow involved in running containers with Amazon EMR and Apache Spark.