Building Big Data Applications with Amazon EMR and Amazon Redshift
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95 дней – 6 2150:35Опубликовано 18 ноября 2016, 16:57
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Building big data applications often requires integrating a broad set of technologies to store, process, and analyze the increasing variety, velocity, and volume of data being collected by many organizations. In this webinar, we show how you can address many of this requirements using a combination of Amazon EMR, a managed Hadoop framework, and Amazon Redshift, a managed petabyte-scale data warehouse. We will also share best practices and common use cases to complement your data warehouse with technologies such as Amazon EMR, Apache Spark, and Presto.
Building big data applications often requires integrating a broad set of technologies to store, process, and analyze the increasing variety, velocity, and volume of data being collected by many organizations. In this webinar, we show how you can address many of this requirements using a combination of Amazon EMR, a managed Hadoop framework, and Amazon Redshift, a managed petabyte-scale data warehouse. We will also share best practices and common use cases to complement your data warehouse with technologies such as Amazon EMR, Apache Spark, and Presto.
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