“Yelp is at the forefront of using data analytics to drive business decisions and enhance its users’ experience. Yelp uses Amazon Redshift to analyze mobile app usage data and ad data on customer cohorts, auctions, and ad metrics. “ Redshift’s new elastic resize feature reduced our operational resizing time from 6 hours down to 15 minutes, allowing us to dynamically scale our infrastructure according to the diverse nature of our workloads and optimizing costs while maximizing performance.” Sergio Diaz Bautista, Data Engineer at Amazon Prime Video Here is what some of our customers had to say about elastic resize:Īmazon Prime Video uses advanced data analytics to customize viewing recommendations and measure fan viewing experiences. With elastic resize, you can start small and scale up on-demand as your needs grow, as illustrated in the following diagram.Īmazon Redshift customers who have been previewing elastic resize before launch have immediately benefited by the scalability that it unlocks for them. You can resize manually from the AWS Management Console or programmatically with a simple API call. This further increases your agility to get better performance and more storage for demanding workloads, and to reduce cost during periods of low demand. We’re excited to introduce elastic resize, a new feature that enables you to add or remove nodes in an Amazon Redshift cluster in minutes. ![]() This allows you to add compute resources that might be needed to support high concurrency. Third, you can spin up multiple Amazon Redshift clusters by quickly restoring data from a snapshot. This gives you more agility compared to on-premises data warehouses that take days to scale. During this time, analysts can continue to run read queries with no downtime. Second, you can resize your Amazon Redshift clusters by adding more nodes or changing node types in just a few hours. This flexibility lets you analyze growing data volumes without waiting for extract, transform, and load (ETL) jobs or adding more storage capacity. First, you can query data in your Amazon S3 data lakes in place using Amazon Redshift Spectrum, without needing to load it into the cluster. With Amazon Redshift, you can already scale quickly in three ways. The DBAs, in turn, cannot support Service Level Agreements (SLAs) that they have set with their business stakeholders. Or, they might be locked out altogether if the data warehouse is down for a resize. ![]() When database administrators (DBAs) don’t have the nimbleness to react to these scenarios, the analysts can experience longer response times for mission-critical workloads. Whenever a major event takes place, their sensors send in terabytes of new data that needs to be ingested into Amazon Redshift and analyzed soon after it arrives. An IoT service provider is on a rapid growth trajectory.After the duplicate cluster is created, it needs to be right-sized quickly based on the cost and performance requirements of the client. They want to quickly create a duplicate environment and provide the cluster endpoint to their clients. A healthcare consulting company is rapidly growing their Data as a Service (DaaS) business.Consequently, they don’t need the same cluster capacity at night as they do during the day. ![]() At night, they might have an occasional user who queries the data and generates a small report. Their Amazon Redshift usage peaks between 8 AM and 6 PM, when their data scientists and analysts run heavy workloads. A US-based retail company runs a large number of scheduled queries and complex BI reports.We commonly encounter scenarios like the following for data analytics: Working closely with them, we have learned how their needs evolve as their data scales. Since we launched Amazon Redshift, our customers have grown with us. With quickly expanding use cases, data sizes, and analyst populations, these customers have a critical need for scalable data warehouses. Amazon Redshift is the cloud data warehouse of choice for organizations of all sizes-from fast-growing technology companies such as Turo and Yelp to Fortune 500 companies such as 21 st Century Fox and Johnson & Johnson.
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