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The Race For Data Quality in a Medallion Architecture

DataKitchen

Data is typically organized into project-specific schemas optimized for business intelligence (BI) applications, advanced analytics, and machine learning. The Medallion architecture offers several benefits, making it an attractive choice for data engineering teams.

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Navigating the cloud maze: A 5-phase approach to optimizing cloud strategies

CIO Business Intelligence

In todays fast-paced digital landscape, the cloud has emerged as a cornerstone of modern business infrastructure, offering unparalleled scalability, agility, and cost-efficiency. This serves as a baseline to drive cloud adoption and getting started with a shifting mindset on how to make money with cloud and not just cost savings alone.

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Agentic AI design: An architectural case study

CIO Business Intelligence

The analyst firm Forrester named AI agents as one of its top 10 emerging technologies this year and that it will deliver benefits in the next two to five years. Development teams starting small and building up, learning, testing and figuring out the realities from the hype will be the ones to succeed.

Testing 135
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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. Data management is the foundation of quantitative research.

Metadata 108
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Amazon EMR 7.5 runtime for Apache Spark and Iceberg can run Spark workloads 3.6 times faster than Spark 3.5.3 and Iceberg 1.6.1

AWS Big Data

Amazon EMR on EC2 , Amazon EMR Serverless , Amazon EMR on Amazon EKS , Amazon EMR on AWS Outposts and AWS Glue all use the optimized runtimes. In this post, we demonstrate the performance benefits of using the Amazon EMR 7.5 Additionally, the cost efficiency improves by 2.9 times, with the total cost decreasing from $16.00

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7 types of tech debt that could cripple your business

CIO Business Intelligence

CIOs perennially deal with technical debts risks, costs, and complexities. But some AI debt may require CIOs to decommission and replace AI capabilities, for example, when new models have sizable accuracy, performance, or cost improvements, leaving behind obsolete models.

Risk 140
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10 Examples of How Big Data in Logistics Can Transform The Supply Chain

datapine

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. These applications are designed to benefit logistics and shipping companies alike. Did you know?

Big Data 275