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9 Best Practices for Real-Time Data Management

Dataversity

Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety.

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Real-Time Data in Machine Learning: Challenges and Solutions

Dataversity

There are instances in which real-time decision-making isn’t particularly critical (such as demand forecasting, customer segmentation, and multi-touch attribution). In those cases, relying on batch data might be preferable. However, when you need real-time automated […].

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As Data Privacy Concerns Ramp Up, the Need for Governed Real-Time Data Has Never Been Greater

Dataversity

Data privacy is essential for any business, but it is especially important at a time when consumers are taking notice and new regulations are being deployed. […]. The post As Data Privacy Concerns Ramp Up, the Need for Governed Real-Time Data Has Never Been Greater appeared first on DATAVERSITY.

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ETL vs. ELT: A Comprehensive Comparison and Guide to Modern Data Integration Strategies

Analysts Corner

Data integration has become a crucial aspect of managing this information, and two popular approaches have emerged to address these needs: Extract, Transform, Load (ETL) and Extract, Load, Transform (ELT). In ELT, raw data is loaded directly into the target system, and the transformation process occurs after the data has been loaded.

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Reversing the Data-Rich, Information-Poor Paradox – AI-Powered Executive Dashboards in Pharma

GAVS Technology

The pharmaceutical industry is rapidly evolving, with data-driven decision-making at its core. This article, the first in a five-part series, explores the pivotal role of AI-powered Executive Supply Chain Management Dashboards. Strategic Alignment: Ensures organizational focus on common goals.

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Harnessing Streaming Data: Insights at the Speed of Life

Sisense

Every data professional knows that ensuring data quality is vital to producing usable query results. Streaming data can be extra challenging in this regard, as it tends to be “dirty,” with new fields that are added without warning and frequent mistakes in the data collection process. Broader considerations.

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What is a Data Pipeline?

Astera

Data pipelines are a fundamental element in today’s technology landscape, providing seamless data movement and valuable insights for businesses. In this article, we will explore the concept of data pipelines, their key components, and the various use cases and benefits they offer.