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4 Ways Better Access to Healthcare Data Can Improve Patient Outcomes

Snowflake

A modern data platform can help them access and collect data in one place, share it securely and seamlessly, scale to handle the large amounts of information coming in from different sources and power data analysis tools and applications.

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Optimizing the Energy Sector with Data Analytics

Cloudera

Within this group, we can find aspects such as improvements in the management and investigation of accidents at work as well as their prevention, or other aspects such as what is called “people analytics” in reference to the use of data analysis tools for management and decision-making in people management in the company.

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What is Splunk? Tools, Architecture, Advantages

Knowledge Hut

Splunk is a powerful data analysis tool that can be used to monitor and troubleshoot a variety of systems. Splunk can also be used to generate reports and dashboards to help visualize data. Conclusion As we have seen above, Splunk is a Big Data analysis tool that doubles up as a management tool.

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Data Engineer vs Data Analyst: Key Differences and Similarities

Knowledge Hut

Technical and soft skills are equally necessary for data analysts. Technical abilities include expertise with SQL, data cleansing, and data manipulation, as well as knowledge of data analysis tools like Excel and Tableau.

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How to Become a Project Manager in 2024? [From Scratch]

Knowledge Hut

To become a project manager who is competitive and successful, you must have a deep understanding of how to use project management software, including project planning and scheduling tools, task tracking tools, and risk management tools.

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Recap of Hadoop News for January

ProjectPro

This tool has a wide array of descriptive, predictive and prescriptive analytical capabilities and its algorithms are optimized for Apache Spark which give marketers a much needed fast data analysis tool. CIO.com Hadoop is useful for scaling up when it comes to big data analysis and processing.

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Top 10+ Applications of Data Science in E-commerce for 2024

Knowledge Hut

Hybrid recommender engines, which combine collaborative and content-based filtering, are a significant resource for companies looking to leverage data science in the dynamic world of e-commerce. Market basket analysis It is one of the most traditional data analysis tools, and retailers have profited from it for years.