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Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg

AWS Big Data

Backtesting is a process used in quantitative finance to evaluate trading strategies using historical data. This helps traders determine the potential profitability of a strategy and identify any risks associated with it, enabling them to optimize it for better performance.

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

AWS Big Data

You can adjust your retry strategy by increasing the maximum retry limit for the default exponential backoff retry strategy or enabling and configuring the additive-increase/multiplicative-decrease (AIMD) retry strategy. In that case, we have to query the table with the snapshot-id corresponding to the deleted row.

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Apply Modern CRM Dashboards & Reports Into Your Business – Examples & Templates

datapine

A CRM dashboard is a centralized hub of information that presents customer relationship management data in a way that is dynamic, interactive, and offers access to a wealth of insights that can improve your consumer-facing strategies and communications. Your Chance: Want to build professional CRM reports & dashboards?

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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. The on-demand mode is a batch replication that takes a snapshot of the metadata at a specific point in time and uses it to synchronize the metadata. These mechanisms can be customized for your organization’s processes.

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Unleashing the power of Presto: The Uber case study

IBM Big Data Hub

While this side-by-side strategy enabled data capture, they quickly discovered that the data lake worked well for long-running queries, but it was not fast enough to support the near-real time engagement necessary to maintain a competitive advantage. They ingest data in snapshots from operational systems. It lands as raw data in HDFS.

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Orca Security’s journey to a petabyte-scale data lake with Apache Iceberg and AWS Analytics

AWS Big Data

Additionally, partition evolution enables experimentation with various partitioning strategies to optimize cost and performance without requiring a rewrite of the table’s data every time. Furthermore, Apache Iceberg’s time travel feature provides the ability to review a table’s history and roll back to a previous snapshot.

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Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. I am head of Products here, which comprises of R&D, Product Management and Global Customer support. And then there is the Cloud.

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