Organizations now run diverse, multidisciplinary big data workloads that span data engineering, data warehousing, and data science applications. Many of these workloads operate on the same underlying data, and the workloads themselves can be transient or long running in nature.
There are many challenges with moving these workloads to the cloud and running them. Jason Wang, Brandon Freeman, Michael Kohs, and Toby Ferguson explore cloud architecture and its challenges and walk you through using Cloudera Altus to build data warehousing and data engineering clusters and run workloads that share metadata between them using Cloudera SDX.
Jason Wang is a software engineer at Cloudera focusing on the cloud.
Brandon Freeman is a Mid-Atlantic region strategic system engineer at Cloudera, specializing in infrastructure, the cloud, and Hadoop. Previously, Brandon was an infrastructure architect at Explorys, working in operations, architecture, and performance optimization for the Cloudera Hadoop environments, where he was responsible for designing, building, and managing many large Hadoop clusters.
Michael Kohs is a product manager at Cloudera.
Toby Ferguson is a sales engineer at Cloudera, where he helps partners succeed with the Cloudera platform.
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