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Modernizing the Data Warehouse: Challenges and Benefits

BI-Survey

Especially in times of rapidly changing markets, decision-support systems should promote the quickest possible knowledge growth. Advanced analytics and new ways of working with data also create new requirements that surpass the traditional concepts. But what are the right measures to make the data warehouse and BI fit for the future?

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Accelerate analytics and AI innovation with the next generation of Amazon SageMaker

AWS Big Data

Unified access to your data is provided by Amazon SageMaker Lakehouse , a unified, open, and secure data lakehouse built on Apache Iceberg open standards. The data engineer asks Amazon Q Developer to identify datasets that contain lead data and uses zero-ETL integrations to bring the data into SageMaker Lakehouse.

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Salesforce debuts Zero Copy Partner Network to ease data integration

CIO Business Intelligence

Currently, a handful of startups offer “reverse” extract, transform, and load (ETL), in which they copy data from a customer’s data warehouse or data platform back into systems of engagement where business users do their work. Acting on data from anywhere in the flow of work. Maintain governance and security.

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The next generation of Amazon SageMaker: The center for all your data, analytics, and AI

AWS Big Data

With improved access and collaboration, you’ll be able to create and securely share analytics and AI artifacts and bring data and AI products to market faster. This innovation drives an important change: you’ll no longer have to copy or move data between data lake and data warehouses.

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Cloud Data Warehouse Migration 101: Expert Tips

Alation

But today, there is a magic quadrant for cloud databases and warehouses comprising more than 20 vendors. And adoption is so significant that many participants have earned notable market capitalization. And what must organizations overcome to succeed at cloud data warehousing ? Many see the cloud as the most secure option.

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Use a Logical Data Warehouse to Integrate Marketing Data in Real Time

Data Virtualization

Reading Time: < 1 minute The Denodo Platform, based on data virtualization, enables a wide range of powerful, modern use cases, including the ability to seamlessly create a logical data warehouse. Logical data warehouses have all of the capabilities of traditional data warehouses, yet they.

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Ingest data from Google Analytics 4 and Google Sheets to Amazon Redshift using Amazon AppFlow

AWS Big Data

Amazon AppFlow automatically encrypts data in motion, and allows you to restrict data from flowing over the public internet for SaaS applications that are integrated with AWS PrivateLink , reducing exposure to security threats. He has worked with building data warehouses and big data solutions for over 13 years.