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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.

IT 105
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Query AWS Glue Data Catalog views using Amazon Athena and Amazon Redshift

AWS Big Data

Today’s data lakes are expanding across lines of business operating in diverse landscapes and using various engines to process and analyze data. Traditionally, SQL views have been used to define and share filtered data sets that meet the requirements of these lines of business for easier consumption.

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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. Seven years later, the Newport Beach, Calif.-based Chipotle’s digital business in 2022 was $3.5

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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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What a quarter century of digital transformation at PayPal looks like

CIO Business Intelligence

We grew hand in hand with eBay and have continued to do so after separating in 2015.” At the lowest layer is the infrastructure, made up of databases and data lakes. “eBay saw the opportunity to welcome us into their fold and, eventually, we were acquired, becoming their official payment service,” Shivananda adds. “We

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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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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. You can visually create, run, and monitor extract, transform, and load (ETL) pipelines to load data into your data lakes.