Remove 2012 Remove Big Data Remove Data Architecture
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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 helped customers build scalable data warehousing and big data solutions for over 16 years. He has worked with building data warehouses and big data solutions for over 13 years. 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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Simplify data ingestion from Amazon S3 to Amazon Redshift using auto-copy

AWS Big Data

Users can begin ingesting data to Redshift from Amazon S3 with simple SQL commands and gain access to the most up-to-date data without the need for third-party tools or custom implementation. He has worked with building data warehouses and big data solutions for over 15+ years.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

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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. 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

In this post, we delve into the key aspects of using Amazon EMR for modern data management, covering topics such as data governance, data mesh deployment, and streamlined data discovery. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated. compute.internal ).

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