DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
23 Jan 202313:01pm - 23 Jan 202314:01pm
DataHour: Cloud Dataproc - Migrate and Optimize Spark Workloads
About the Event
The Hadoop ecosystem is a widely adopted platform for solving big data problems. Implementing Hadoop is easy with big data tools like Apache Pig, Hive, Spark. However, with cost implications of required compute resources and advantages of cloud-based technologies, a lot more enterprises are moving their big data workloads to Cloud.
In this DataHour, Ritika will introduce you to Dataproc - fully managed and highly scalable service for running Apache Hadoop, Apache Spark, Apache Flink, Presto, and 30+ open source tools and frameworks. Dataproc can be used for data lake modernization, ETL and secure data science, at scale, integrated with Google Cloud, at a fraction of the cost. As a noob to Dataproc or Cloud, you get to accelerate your Google Cloud Journey by learning the most popular component for Spark workloads. As an experienced developer, you learn the best practices for migration and optimization of Spark Workloads.
Prerequisites: Interest in Data Science and Big Data.
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- Best articles get published on Analytics Vidhya’s Blog Space
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Who is this DataHour for?
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
- Best articles get published on Analytics Vidhya’s Blog Space
About the Speaker
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