Remove 2012 Remove Data Architecture Remove Data Integration
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Ingest data from Google Analytics 4 and Google Sheets to Amazon Redshift using Amazon AppFlow

AWS Big Data

Conclusion In this post, we walked you through the process of using Amazon AppFlow to integrate data from Google Ads and Google Sheets. We demonstrated how the complexities of data integration are minimized so you can focus on deriving actionable insights from your data. Choose Next.

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Use Apache Iceberg in your data lake with Amazon S3, AWS Glue, and Snowflake

AWS Big Data

They understand that a one-size-fits-all approach no longer works, and recognize the value in adopting scalable, flexible tools and open data formats to support interoperability in a modern data architecture to accelerate the delivery of new solutions. Nidhi Gupta is a Sr. Partner Solution Architect at AWS.

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Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation

AWS Big Data

By using Data Catalog metadata federation, organizations can construct a sophisticated data architecture. This approach not only seamlessly extends your Hive data warehouse but also consolidates access control and fosters integration with various AWS analytics services. compute.internal ). Choose Submit job run.

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Jumia builds a next-generation data platform with metadata-driven specification frameworks

AWS Big Data

Jumia is a technology company born in 2012, present in 14 African countries, with its main headquarters in Lagos, Nigeria. The following diagram illustrates the architecture. Jumia is built around a marketplace, a logistics service, and a payment service.

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