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Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg

AWS Big Data

Major market indexes, such as S&P 500, are subject to periodic inclusions and exclusions for reasons beyond the scope of this post (for an example, refer to CoStar Group, Invitation Homes Set to Join S&P 500; Others to Join S&P 100, S&P MidCap 400, and S&P SmallCap 600 ). Load the dataset into Amazon S3.

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Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes

AWS Big Data

For more information, refer to Retry Amazon S3 requests with EMRFS. To learn more about how to create an EMR cluster with Iceberg and use Amazon EMR Studio, refer to Use an Iceberg cluster with Spark and the Amazon EMR Studio Management Guide , respectively. We expire the old snapshots from the table and keep only the last two.

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MLOps and DevOps: Why Data Makes It Different

O'Reilly on Data

ML apps need to be developed through cycles of experimentation: due to the constant exposure to data, we don’t learn the behavior of ML apps through logical reasoning but through empirical observation. but to reference concrete tooling used today in order to ground what could otherwise be a somewhat abstract exercise. Versioning.

IT 342
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Build a multi-Region and highly resilient modern data architecture using AWS Glue and AWS Lake Formation

AWS Big Data

The utility for cloning and experimentation is available in the open-sourced GitHub repository. It contains references to data that is used as sources and targets in AWS Glue ETL (extract, transform, and load) jobs, and stores information about the location, schema, and runtime metrics of your data.

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Load data incrementally from transactional data lakes to data warehouses

AWS Big Data

To learn more, refer to Exploring new ETL and ELT capabilities for Amazon Redshift from the AWS Glue Studio visual editor. or later supports change data capture as an experimental feature, which is only available for Copy-on-Write (CoW) tables. For instructions, refer to Set up IAM permissions for AWS Glue Studio.

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Accelerating revenue growth with real-time analytics: Poshmark’s journey

AWS Big Data

Top line revenue refers to the total value of sales of an organization’s services or products. Spark Structured Streaming continuous processing is an experimental feature and provides at-least once guarantees. An important goal to achieve for any organization is to grow the top line revenue.