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How The Cloud Made ‘Data-Driven Culture’ Possible | Part 1

BizAcuity

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. 2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s.

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The Future Belongs to Purpose-Built Apps. We're Betting On It.

Juice Analytics

Three barriers to democratizing data The struggle of getting data to more people in more useful ways boils down to a few unsolved problems. First, general purpose platforms and tools (data lakes, enterprise data warehouses, Tableau) can be a foundation, but they don’t deliver end-user solutions.

IT 54
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Use the Amazon Redshift Data API to interact with Amazon Redshift Serverless

AWS Big Data

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. You can unload data in either text or Parquet format.

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New Thinking, Old Thinking and a Fairytale

Peter James Thomas

An obvious parallel in my world is to consider another business activity that reached peak popularity in the 2000s, Data Warehouse programmes [4]. Figures suggest that both BPR and Data Warehouse programmes have a failure rate of 60 – 70% [5]. – Gartner 2007. “60-70% – CIO.com 2010. “61%