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Build a multi-Region and highly resilient modern data architecture using AWS Glue and AWS Lake Formation

AWS Big Data

This solution only replicates metadata in the Data Catalog, not the actual underlying data. To have a redundant data lake using Lake Formation and AWS Glue in an additional Region, we recommend replicating the Amazon S3-based storage using S3 replication , S3 sync, aws-s3-copy-sync-using-batch or S3 Batch replication process.

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Simplify operational data processing in data lakes using AWS Glue and Apache Hudi

AWS Big Data

The Analytics specialty practice of AWS Professional Services (AWS ProServe) helps customers across the globe with modern data architecture implementations on the AWS Cloud. The File Manager Lambda function consumes those messages, parses the metadata, and inserts the metadata to the DynamoDB table odpf_file_tracker.

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Cloud Data Warehouse Migration 101: Expert Tips

Alation

What Are the Biggest Drivers of Cloud Data Warehousing? It’s costly and time-consuming to manage on-premises data warehouses — and modern cloud data architectures can deliver business agility and innovation. There are tools to replicate and snapshot data, plus tools to scale and improve performance.”

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Build incremental data pipelines to load transactional data changes using AWS DMS, Delta 2.0, and Amazon EMR Serverless

AWS Big Data

spark_travel_details" limit 10; The table (native Delta table) has been created and updated to the AWS Glue Data Catalog from the EMR Serverless application code. Athena supports reading native Delta tables and therefore we can read the data successfully even though the Data Catalog shows only a single array column.

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A Summary Of Gartner’s Recent Innovation Insight Into Data Observability

DataKitchen

Data Observability technology learns what to monitor and provides insights into unforeseen exceptions. However, the market for Data Observability is fragmented and lacks a standard accepted definition, leading to confusion and tool adoption issues. However, there are potential risks and challenges in adopting Data Observability.