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Differentiating Between Data Lakes and Data Warehouses

Smart Data Collective

The market for data warehouses is booming. One study forecasts that the market will be worth $23.8 While there is a lot of discussion about the merits of data warehouses, not enough discussion centers around data lakes. We talked about enterprise data warehouses in the past, so let’s contrast them with data lakes.

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Reference guide to build inventory management and forecasting solutions on AWS

AWS Big Data

Forecasting is another critical component of effective inventory management. However, forecasting can be a complex process, and inaccurate predictions can lead to missed opportunities and lost revenue. However, forecasting can be a complex process, and inaccurate predictions can lead to missed opportunities and lost revenue.

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Achieving Trusted AI in Manufacturing

Cloudera

Demand forecasting: AI can be used to forecast demand for products based on historical data, trends, and external factors such as weather, holidays, seasonality, and market conditions. Add appropriate contextual data (IT/business data), which is critical in AI analysis of manufacturing data.

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Everything-as-a-Service: Huawei Brings the Cloud Ecosystem Within Reach at MWC 2023

CIO Business Intelligence

This year’s event will explore themes of 5G acceleration, immersive technology, open networks, fintech, and ‘Digital Everything’, encompassing intelligent solutions, Internet-of-Things, Industry 4.0, IDC forecasts global cloud spending to exceed US$1.3

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Better, faster decisions: Why businesses thrive on real-time data

CIO Business Intelligence

“The enormous potential of real-time data not only gives businesses agility, increased productivity, optimized decision-making, and valuable insights, but also provides beneficial forecasts, customer insights, potential risks, and opportunities,” said Krumova.

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It’s not your data. It’s how you use it. Unlock the power of data & build foundations of a data driven organisation

CIO Business Intelligence

Unlocking the value of data with in-depth advanced analytics, focusing on providing drill-through business insights. Providing a platform for fact-based and actionable management reporting, algorithmic forecasting and digital dashboarding. zettabytes of data. New data scientists can then be onboarded more easily and efficiently.

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Building Better Data Models to Unlock Next-Level Intelligence

Sisense

The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021!