The MLOps Blog

MAY 17, 2023

We also discuss different types of ETL pipelines for ML use cases and provide real-world examples of their use to help data engineers choose the right one. What is an ETL data pipeline in ML? Moreover, ETL pipelines play a crucial role in breaking down data silos and establishing a single source of truth.

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Dataversity

OCTOBER 25, 2023

We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights.

Data Quality 104

Data Quality Data Preparation Algorithm Data Silos 104

Ocean Protocol

DECEMBER 27, 2022

Launched in November 2022, contestants of the ETH price prediction data challenge were asked to engage with Ocean.py This challenge aimed to activate relevant communities of Web3-native data scientists and guide them towards potential use cases such as community-owned algorithms via data NFTs and DeFi protocol design.

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Data Scientist Data Silos Data Pipeline Algorithm 52

Pickl AI

DECEMBER 11, 2024

Efficiency emphasises streamlined processes to reduce redundancies and waste, maximising value from every data point. Common Challenges with Traditional Data Management Traditional data management systems often grapple with data silos, which isolate critical information across departments, hindering collaboration and transparency.

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Data Silos Data Pipeline Artificial Intelligence Artificial Intelligence 52

phData

FEBRUARY 14, 2023

Insurance companies often face challenges with data silos and inconsistencies among their legacy systems. To address these issues, they need a centralized and integrated data platform that serves as a single source of truth, preferably with strong data governance capabilities.

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Data Governance Data Silos Predictive Analytics Data Scientist 52

phData

SEPTEMBER 27, 2024

Let’s break down why this is so powerful for us marketers: Data Preservation : By keeping a copy of your raw customer data, you preserve the original context and granularity. Both persistent staging and data lakes involve storing large amounts of raw data. Your customer data game will never be the same.

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Data Modeling Data Models Apache Kafka Data Lakes 52