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Automate deployment of an Amazon QuickSight analysis connecting to an Amazon Redshift data warehouse with an AWS CloudFormation template

AWS Big Data

Amazon Redshift is the most widely used data warehouse in the cloud, best suited for analyzing exabytes of data and running complex analytical queries. Amazon QuickSight is a fast business analytics service to build visualizations, perform ad hoc analysis, and quickly get business insights from your data.

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AWS Lake Formation 2022 year in review

AWS Big Data

We have collected some of the key talks and solutions on data governance, data mesh, and modern data architecture published and presented in AWS re:Invent 2022, and a few data lake solutions built by customers and AWS Partners for easy reference.

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Moving Enterprise Data From Anywhere to Any System Made Easy

Cloudera

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? 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

This blog aims to answer two questions: What is a universal data distribution service? Why does every organization need it when using a modern data stack? 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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Innovate What’s Next: How Living Labs Brings Ideas to Life

CIO Business Intelligence

We are centered around co-creating with customers and promoting a systematic and scalable innovation approach to solve real-world customers problems—similar to Toyota leveraging Infosys Cobalt to modernize its vehicle data warehouse into a next-generation data lake on AWS. .

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Week in the Life of an Analyst at Gartner US IT Symposium (virtual) 2021

Andrew White

Analytics Tactics (known outcome/known data/BI/analytics v unknown outcome/unknown data/data science/ML) 11. Data Hub Strategy 10. Lakehouse (data warehouse and data lake working together) 8. Data Literacy, training, coordination, collaboration 8. Business Innovation with D&A 6.

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Perform upserts in a data lake using Amazon Athena and Apache Iceberg

AWS Big Data

Amazon Athena supports the MERGE command on Apache Iceberg tables, which allows you to perform inserts, updates, and deletes in your data lake at scale using familiar SQL statements that are compliant with ACID (Atomic, Consistent, Isolated, Durable). The first task performs an initial copy of the full data into an S3 folder.