Remove Metadata Remove Publishing Remove Snapshot Remove Testing
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Amazon DataZone now integrates with AWS Glue Data Quality and external data quality solutions

AWS Big Data

Visualize AWS Glue Data Quality scores in Amazon DataZone You can now visualize AWS Glue Data Quality scores in data assets that have been published in the Amazon DataZone business catalog and that are searchable through the Amazon DataZone web portal. We use this data source to import metadata information related to our datasets.

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Introducing Apache Iceberg in Cloudera Data Platform

Cloudera

Companies such as Adobe , Expedia , LinkedIn , Tencent , and Netflix have published blogs about their Apache Iceberg adoption for processing their large scale analytics datasets. . In Iceberg, instead of listing O(n) partitions (directory listing at runtime) in a table for query planning, Iceberg performs an O(1) RPC to read the snapshot.

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Modernize a legacy real-time analytics application with Amazon Managed Service for Apache Flink

AWS Big Data

Frequent materialized view refreshes on top of constantly changing base tables due to streamed data can lead to snapshot isolation errors. Datasets used for generating insights are curated using materialized views inside the database and published for business intelligence (BI) reporting. We use two datasets in this post.

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

AWS Big Data

AWS has invested in native service integration with Apache Hudi and published technical contents to enable you to use Apache Hudi with AWS Glue (for example, refer to Introducing native support for Apache Hudi, Delta Lake, and Apache Iceberg on AWS Glue for Apache Spark, Part 1: Getting Started ).

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Open Data Lakehouse powered by Iceberg for all your Data Warehouse needs

Cloudera

Cloudera Contributors: Ayush Saxena, Tamas Mate, Simhadri Govindappa Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), we are excited to see customers testing their analytic workloads on Iceberg. We will publish follow up blogs for other data services. ID, TBL_ICEBERG_PART_2.NAME,

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Implement a serverless CDC process with Apache Iceberg using Amazon DynamoDB and Amazon Athena

AWS Big Data

Source systems often lack the capability to publish data that is modified or changed. On the Code tab, choose Test , then Configure test event. Configure a test event with the default hello-world template event JSON. Configure a test event with the default hello-world template event JSON.

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AWS Glue streaming application to process Amazon MSK data using AWS Glue Schema Registry

AWS Big Data

After the processed data is stored in Amazon S3, we create an AWS Glue crawler to create a Data Catalog table that acts as a metadata layer for the data. test-schema-registry MSKSchemaName Name of the schema. test The stack creation process can take around 15–20 minutes to complete. Refer to the first stack’s output.