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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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Transactional Data: The Future of Real-Time Data In-Store

Dataversity

As a fintech founder, I have been particularly fascinated by consumer retail trends appearing from transactional data that could rapidly improve user experience and targeted marketing in-store. The post Transactional Data: The Future of Real-Time Data In-Store appeared first on DATAVERSITY.

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Azure Cloud Is Transforming the Way We Run Our Businesses in 2021

Smart Data Collective

On-premise data centers are highly susceptible to cyberattacks as well. Smart companies are overcoming these challenges by using Microsoft Azure to scale up or down and inspire efficient growth and data security amid the global crisis. 2021 is an extension of the uncertain times of 2020. Reduced Costs and Downtime.

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Why Is Data Loss Prevention is Crucial for Business?

Smart Data Collective

Data loss protection comprises three significant business objectives – personal information protection, intellectual property protection, and comprehensive data usage reports. Having any of those boosts your data security. Personal Information Protection. How Does DLP Help Your Business?

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6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

The birth of IoT and connected devices is just one source, while the need for more reliable real-time data is another. They specifically help shape the industry, altering how business analysts work with data. How will we manage all this information? What will our digital future look like?

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Power BI Semantic Model and Different Connection Modes

The BAWorld

Simplified Self-Service BI : Offers a simple and clear way for business users to make reports and dashboards without needing technical skills, helping everyone use data on their own. Once imported, reports rely on this cached data rather than querying the source system. Refreshes can be time-consuming for large datasets.

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Everything You Need to Know about RAG

Astera

As businesses and AI experts search for more intelligent ways to process information, RAG combines the best of both worlds, i.e., the vast knowledge of retrieval systems and the creative power of generation models. Keeps Data Real: LLMs often “hallucinate” by generating made-up facts when they lack enough information.