Today, Apache Hadoop is deployed both on-premises and in the public cloud with the public cloud increasingly becoming more prevalent. The cloud provides some unique abilities, such as on-demand infrastructure, cluster elasticity, persisted globally available object storage, and pay-for-use pricing. This enables even more flexible and cost-efficient deployment options for BI and SQL analytic users of Impala but brings in some new challenges that need to be carefully considered to achieve optimal outcome.
Alex Gutow and Henry Robinson explain how Apache Hadoop and Apache Impala (incubating) take advantage of the benefits of the cloud to provide the same great functionality, partner ecosystem, and flexibility of on-premises deployments combined with the flexibility and cost efficiency of the cloud.
Alex Gutow is senior product marketing manager at Cloudera, where she focuses on the analytic database platform solution and technologies. Previously, she managed technical marketing and PR for Basho Technologies and managed consumer and enterprise marketing for Truaxis, a Mastercard company. Alex holds a BS in marketing and a BA in psychology from Carnegie Mellon University.
Henry Robinson is a software engineer at Cloudera. For the past few years, he has worked on Apache Impala, an SQL query engine for data stored in Apache Hadoop, and leads the scalability effort to bring Impala to clusters of thousands of nodes. Henry’s main interest is in distributed systems. He is a PMC member for the Apache ZooKeeper, Apache Flume, and Apache Impala open source projects.
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