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Sarah Assous, Vice President of Product Marketing, Akeneo – Interview Series

Unite.AI

While traditional PIM systems are effective for centralizing and managing product information, many solutions struggle to support complex omnichannel strategies, dynamic data, and integrations with other eCommerce or data platforms, meaning that the PIM just becomes another data silo.

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How to choose the best AI platform

IBM Journey to AI blog

Summary generator: AI platforms can also transform dense text into a high-quality summary, capturing key points from financial reports, meeting transcriptions and more. Data extraction: Platform capabilities help sort through complex details and quickly pull the necessary information from large documents.

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Accelerating time-to-insight with MongoDB time series collections and Amazon SageMaker Canvas

AWS Machine Learning Blog

In this post, we will explore the potential of using MongoDB’s time series data and SageMaker Canvas as a comprehensive solution. MongoDB Atlas MongoDB Atlas is a fully managed developer data platform that simplifies the deployment and scaling of MongoDB databases in the cloud. Note we have two folders.

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Comparing Tools For Data Processing Pipelines

The MLOps Blog

Provides data security using AI & blockchain technologies. Automates data collection from varied sources using extraction modules. Data extraction, model training, and storage all served under one roof. Dagster Supports end-to-end data management lifecycle. Uses secure protocols for data security.

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Introduction to R Programming For Data Science

Pickl AI

. · Big Data Analytics: R has solutions for handling large-scale datasets and performing distributed computing. Packages like dplyr, data.table, and sparklyr enable efficient data processing on big data platforms such as Apache Hadoop and Apache Spark.

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Tableau vs Power BI: Which is The Better Business Intelligence Tool in 2024?

Pickl AI

Data Connectivity Tableau and Power BI offer robust data connectivity, but some differences exist. Tableau supports many data sources, including cloud databases, SQL databases, and Big Data platforms. It performs well even with large and complex datasets, making it ideal for enterprises with high data demands.

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Learn the Differences Between ETL and ELT

Pickl AI

Talend: An open-source solution that provides various data management features. Microsoft SQL Server Integration Services (SSIS): A component of Microsoft SQL Server for data extraction and transformation. Apache NiFi : An open-source tool designed for data flow automation and ETL processes.

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