Remove Cost-Benefit Remove Machine Learning Remove Metadata
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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

Our experiments are based on real-world historical full order book data, provided by our partner CryptoStruct , and compare the trade-offs between these choices, focusing on performance, cost, and quant developer productivity. You can refer to this metadata layer to create a mental model of how Icebergs time travel capability works.

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How EUROGATE established a data mesh architecture using Amazon DataZone

AWS Big Data

Improve accuracy and resiliency of analytics and machine learning by fostering data standards and high-quality data products. In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications. This process is shown in the following figure.

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Run Apache XTable in AWS Lambda for background conversion of open table formats

AWS Big Data

Central to a transactional data lake are open table formats (OTFs) such as Apache Hudi , Apache Iceberg , and Delta Lake , which act as a metadata layer over columnar formats. In practice, OTFs are used in a broad range of analytical workloads, from business intelligence to machine learning.

Metadata 105
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Enterprises can gain an edge with Metadata Management

CIO Business Intelligence

As artificial intelligence (AI) and machine learning (ML) continue to reshape industries, robust data management has become essential for organizations of all sizes. Let’s dive into what that looks like, what workarounds some IT teams use today, and why metadata management is the key to success.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

3) How do we get started, when, who will be involved, and what are the targeted benefits, results, outcomes, and consequences (including risks)? That is: (1) What is it you want to do and where does it fit within the context of your organization? (2) 2) Why should your organization be doing it and why should your people commit to it? (3)

Strategy 290
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What is a Data Mesh?

DataKitchen

This post (1 of 5) is the beginning of a series that explores the benefits and challenges of implementing a data mesh and reviews lessons learned from a pharmaceutical industry data mesh example. Benefits of a Domain. But first, let’s define the data mesh design pattern. See the pattern? The post What is a Data Mesh?

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How ANZ Institutional Division built a federated data platform to enable their domain teams to build data products to support business outcomes

AWS Big Data

The Institutional Data & AI platform adopts a federated approach to data while centralizing the metadata to facilitate simpler discovery and sharing of data products. A data portal for consumers to discover data products and access associated metadata. Subscription workflows that simplify access management to the data products.

Metadata 105