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Get maximum value out of your cloud data warehouse with Amazon Redshift

AWS Big Data

In this post, we look at three key challenges that customers face with growing data and how a modern data warehouse and analytics system like Amazon Redshift can meet these challenges across industries and segments. The Stripe Data Pipeline is powered by the data sharing capability of Amazon Redshift.

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Sysco’s recipe for growth centers on IT

CIO Business Intelligence

Recipe for Growth, for which Sysco has earned a 2023 CIO 100 Award for innovation and IT leadership, is based on applying B2C principles to Sysco’s B2B business, and calls for the company to grow 1.5 Like most companies, Sysco traditionally ran its B2B e-commerce business in a bulk reordering fashion.

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Amazon Redshift announcements at AWS re:Invent 2023 to enable analytics on all your data

AWS Big Data

In 2013, Amazon Web Services revolutionized the data warehousing industry by launching Amazon Redshift , the first fully-managed, petabyte-scale, enterprise-grade cloud data warehouse. Amazon Redshift made it simple and cost-effective to efficiently analyze large volumes of data using existing business intelligence tools.

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How smava makes loans transparent and affordable using Amazon Redshift Serverless

AWS Big Data

The Data Platform team is responsible for supporting data-driven decisions at smava by providing data products across all departments and branches of the company. Branches range by products, namely B2C loans, B2B loans, and formerly also B2C mortgages. The departments include teams from engineering to sales and marketing.

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WEBCAST: Analytics Through the Lens of Conversational AI

bridgei2i

Enterprises can drive next-level transformational outcomes using intelligent chatbots that integrate with their data warehouses and dashboards, to provide actionable, easy to consume insights. BI bots, powered by conversational AI, are driving improved customer experience and user engagement. About the Webcast.

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Announcing zero-ETL integrations with AWS Databases and Amazon Redshift

AWS Big Data

To run analytics on their operational data, customers often build solutions that are a combination of a database, a data warehouse, and an extract, transform, and load (ETL) pipeline. ETL is the process data engineers use to combine data from different sources.

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When Data Warehousing Met the Events Industry

BizAcuity

According to reports, the Business-To-Business (B2B) events industry revenue worldwide amounted to 30.3 The solution here is to consolidate all of this data, gathered from different points at different times along the course of the event and store it in one consolidated form in a Data Warehouse.