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Speed up queries with the cost-based optimizer in Amazon Athena

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on open source frameworks, supporting open table file formats. Athena provides a simplified, flexible way to analyze petabytes of data where it lives. Let’s discuss some of the cost-based optimization techniques that contributed to improved query performance.

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Chipotle’s recipe for digital transformation: Cloud plus AI

CIO Business Intelligence

When Curt Garner became Chipotle’s first CIO in 2015, the only technology used for online restaurant ordering was, “believe it or not,” a fax machine, he says. The system provides “demand-based cooking and ingredient preparation forecasts to optimize throughput and freshness while minimizing food waste,” according to the company.

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Moving Enterprise Data From Anywhere to Any System Made Easy

Cloudera

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Every organization on the hybrid cloud journey needs the ability to take control of their data flows from origination through all points of consumption.

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Moving Enterprise Data From Anywhere to Any System Made Easy

CIO Business Intelligence

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Every organization on the hybrid cloud journey needs the ability to take control of their data flows from origination through all points of consumption.

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Extend your data mesh with Amazon Athena and federated views

AWS Big Data

Amazon Athena is a serverless, interactive analytics service built on the Trino, PrestoDB, and Apache Spark open-source frameworks. Recently, Athena added support for creating and querying views on federated data sources to bring greater flexibility and ease of use to use cases such as interactive analysis and business intelligence reporting.

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How Amazon Devices scaled and optimized real-time demand and supply forecasts using serverless analytics

AWS Big Data

With data volumes exhibiting a double-digit percentage growth rate year on year and the COVID pandemic disrupting global logistics in 2021, it became more critical to scale and generate near-real-time data. This introduces the need for both polling and pushing the data to access and analyze in near-real time.

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Thermo Fisher transforms its customer experience

CIO Business Intelligence

in 2013, Alfa Aesar in 2015, Affymetrix and FEI Co. The rapid growth left the company highly dependent on fragmented, manual processes and disparate data sources and systems. The team also built a centralized data lake on AWS, Databricks, and Power BI. in 2016, and BD Advanced Bioprocessing in 2018. Catalyzing change.

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