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Expand data access through Apache Iceberg using Delta Lake UniForm on AWS

AWS Big Data

The landscape of big data management has been transformed by the rising popularity of open table formats such as Apache Iceberg, Apache Hudi, and Linux Foundation Delta Lake. These formats, designed to address the limitations of traditional data storage systems, have become essential in modern data architectures.

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

AWS Big Data

He has over 13 years of professional experience building and optimizing enterprise data warehouses and is passionate about enabling customers to realize the power of their data. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture. Choose Next.

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Build a secure data visualization application using the Amazon Redshift Data API with AWS IAM Identity Center

AWS Big Data

In the Specify application credentials section, choose Edit the application policy and use the following policy: { "Version": "2012-10-17", "Statement": [ { "Effect": "Allow", "Principal": { "Service": "redshift-data.amazonaws.com" }, "Action": "sso-oauth:*", "Resource": "*" } ] } Choose Submit.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

In a sense, there have been three phases of network analytics: the first was an appliance based monitoring phase; the second was an open-source expansion phase; and the third – that we are in right now – is a hybrid-data-cloud and governance phase. The Dawn of Telco Big Data: 2007-2012. Let’s examine how we got here.

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Simplify data ingestion from Amazon S3 to Amazon Redshift using auto-copy

AWS Big Data

He has over 13 years of professional experience building and optimizing enterprise data warehouses and is passionate about enabling customers to realize the power of their data. He specializes in migrating enterprise data warehouses to AWS Modern Data Architecture.

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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

Conclusion In this post, we explained how to create a federated Hive metastore for deploying a data mesh architecture with multiple Hive data warehouses across EMR clusters. By using Data Catalog metadata federation, organizations can construct a sophisticated data architecture. compute.internal ).

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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.

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