Remove insights cloud-data-analytics cloud-elasticity-vs-cloud-scalability
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Achieve peak performance and boost scalability using multiple Amazon Redshift serverless workgroups and Network Load Balancer

AWS Big Data

As data analytics use cases grow, factors of scalability and concurrency become crucial for businesses. Your analytic solution architecture should be able to handle large data volumes at high concurrency and without compromising speed, thereby delivering a scalable high-performance analytics environment.

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Sun King uses Amazon Redshift data sharing to accelerate data analytics and improve user experience

AWS Big Data

Sun King is driven by data for analyzing areas of growth across thousands of miles using a dashboards that are powered by Amazon Redshift. In this post, we share how Sun King uses Amazon Redshift and Redshift’s features like Data Sharing capabilities to improve the performance of queries in Looker for over 1,000 of our staff.

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How the GoDaddy data platform achieved over 60% cost reduction and 50% performance boost by adopting Amazon EMR Serverless

AWS Big Data

At GoDaddy, we take pride in being a data-driven company. Our relentless pursuit of valuable insights from data fuels our business decisions and ensures customer satisfaction. Background In late 2020, GoDaddy’s data platform initiated its AWS Cloud journey, migrating an 800-node Hadoop cluster with 2.5

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How to optimize Google Cloud Platform cloud costs with IBM Turbonomic

IBM Big Data Hub

Google Cloud Platform (GCP) enables customers to build, manage and deploy modern, scalable applications to achieve digital business success. However, due to its complexity, achieving operational excellence in the cloud is difficult. Let’s review how IBM Turbonomic helps customers optimize their GCP cloud costs.

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How FanDuel adopted a modern Amazon Redshift architecture to serve critical business workloads

AWS Big Data

In this post, we share how FanDuel moved from a DC2 nodes architecture to a modern Amazon Redshift architecture, which includes Redshift provisioned clusters using RA3 instances , Amazon Redshift data sharing , and Amazon Redshift Serverless. As FanDuel’s business footprint grew, so too did the complexity of their analytical needs.

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Cost Conscious Data Warehousing with Cloudera Data Platform

Cloudera

Why worry about costs with cloud-native data warehousing? Have you been burned by the unexpected costs of a cloud data warehouse? If so, you know about the failed economics of some cloud-native solutions on the market today. Data warehouses have been broadly adopted to provide timely reports and valuable insights.

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Enable Multi-AZ deployments for your Amazon Redshift data warehouse

AWS Big Data

Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.