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Use Apache Iceberg in a data lake to support incremental data processing

AWS Big Data

Apache Iceberg is an open table format for very large analytic datasets, which captures metadata information on the state of datasets as they evolve and change over time. Apache Iceberg addresses customer needs by capturing rich metadata information about the dataset at the time the individual data files are created.

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

AWS Big Data

The second streaming data source constitutes metadata information about the call center organization and agents that gets refreshed throughout the day. For the template and setup information, refer to Test Your Streaming Data Solution with the New Amazon Kinesis Data Generator. We use two datasets in this post.

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The Very Group adopts a data catalog to better organize and leverage its online retail capabilities

CIO Business Intelligence

The group’s move online began in the 1990s with its first steps into e-commerce, followed by the closure of its physical stores in 2005. In a first test of the technology, he used Alation to catalog a subset of Very’s data held in an old Teradata database. The whole company rebranded as Very in 2020, the year Pimblett joined.

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Gain insights from historical location data using Amazon Location Service and AWS analytics services

AWS Big Data

The Data Catalog provides metadata that allows analytics applications using Athena to find, read, and process the location data stored in Amazon S3. You can test this solution yourself using the AWS Samples GitHub repository. Athena is used to run geospatial queries on the location data stored in the S3 buckets. Choose Run.