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The Role of Database Applications in Modern Business Environments

Knowledge Hut

They are used in a wide range of businesses and areas, including banking, healthcare, e-commerce, and manufacturing. The following are some of the most prevalent database application examples: Applications for customer relationship management (CRM), ERP (enterprise resource planning) apps, and Applications for supply chain management (SCM).

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20 Best IoT Tools to Consider in 2023

Knowledge Hut

From smart homes to connected cars, industrial automation to healthcare, Experts predict that by 2025, over 64 billion devices will be connected to the IoT tools, which means developers are coming up with new and innovative devices all the time. Custom analytics applications for IoT data, including machine learning and predictive analytics.

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Top 15 Cloud Computing Projects Ideas for Beginners in 2023

ProjectPro

Projects based on cloud computing have applications in entertainment, education, healthcare, retail, banking, marketing, and other industrial and business domains. Popular ride-hailing services, such as Uber and Ola, have used such cloud-based analytics applications for data-driven decision-making.

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Top 6 Big Data and Business Analytics Companies to Work For in 2023

ProjectPro

The company targets to deliver values to its customers through the free SaaS based analytics applications so that it can build credibility with the clients to encourage them to buy more.

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Using Kappa Architecture to Reduce Data Integration Costs

Striim

The versatility offered by kappa architectures makes them suitable for many industries such as healthcare, finance, retail, telecoms energy and more. Additionally, it allows for efficient processing of both real-time and historical data which eliminates the need for multiple versions of the same dataset or manually managed systems.

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A Flexible and Efficient Storage System for Diverse Workloads

Cloudera

Healthcare, where big data is used for improving profitability, conducting genomic research, improving patient experience, and to save lives. It removes the need to port data from an object store to a file system so analytics applications can read it. The same data can be read as an object, or a file. Bucket types.

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Types of Data Analytics

U-Next

Another recollection of one of our Data Analytics initiatives: In the healthcare industry, the type of segmentation in combination with several applied filters (such as diagnoses and prescribed drugs) permitted determining the impact of pharmaceuticals. Through the use of advanced equipment, medications, etc.,