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Data architecture strategy for data quality

IBM Journey to AI blog

The right data architecture can help your organization improve data quality because it provides the framework that determines how data is collected, transported, stored, secured, used and shared for business intelligence and data science use cases.

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Five benefits of a data catalog

IBM Journey to AI blog

An enterprise data catalog does all that a library inventory system does – namely streamlining data discovery and access across data sources – and a lot more. For example, data catalogs have evolved to deliver governance capabilities like managing data quality and data privacy and compliance.

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Data Version Control for Data Lakes: Handling the Changes in Large Scale

ODSC - Open Data Science

In the ever-evolving world of big data, managing vast amounts of information efficiently has become a critical challenge for businesses across the globe. As a result, data lakes can accommodate vast volumes of data from different sources, providing a cost-effective and scalable solution for handling big data.

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A Beginner’s Guide to Data Warehousing

Unite.AI

In this digital economy, data is paramount. Today, all sectors, from private enterprises to public entities, use big data to make critical business decisions. However, the data ecosystem faces numerous challenges regarding large data volume, variety, and velocity. Enter data warehousing!

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The 17 Most Popular AI Software Products for 2024

Viso.ai

It is useful for various tasks related to machine learning, deep learning, data management, Natural Language Processing (NLP) , etc. Infosys Nia provides companies with the opportunity to leverage AI on existing big data, by automating repetitive tasks and scheduled responsibilities. You can schedule a demo with an Observe.AI

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Navigating the 2024 Data Analyst career growth landscape

Pickl AI

Trends in Data Analytics career path Trends Key Information Market Size and Growth CAGR Big Data Analytics Dealing with vast datasets efficiently. Cloud-based Data Analytics Utilising cloud platforms for scalable analysis. billion 28% AI-Powered Data Analytics Transformation in decision-making speed.

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Data integrity vs. data quality: Is there a difference?

IBM Journey to AI blog

The more complete, accurate and consistent a dataset is, the more informed business intelligence and business processes become. To standardize data, business rules are applied to ensure datasets conform to an organization’s standards and needs.