Remove Data Collection Remove Medical Remove Relational Database Remove Unstructured Data
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Data Collection for Machine Learning: Steps, Methods, and Best Practices

AltexSoft

While today’s world abounds with data, gathering valuable information presents a lot of organizational and technical challenges, which we are going to address in this article. We’ll particularly explore data collection approaches and tools for analytics and machine learning projects. What is data collection?

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Top ETL Use Cases for BI and Analytics:Real-World Examples

ProjectPro

However, the vast volume of data will overwhelm you if you start looking at historical trends. The time-consuming method of data collection and transformation can be eliminated using ETL. You can analyze and optimize your investment strategy using high-quality structured data.

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Future of Big Data: Key Trends to Learn From Experts

Knowledge Hut

In this blog, we will explore the future of big data in business, its applications, and the technologies that will drive its evolution. What is Big Data? Big data refers to large amounts of data. The differentiation between data and big data becomes clear once we look at the methods of analyzing them.

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Data Architect: Role Description, Skills, Certifications and When to Hire

AltexSoft

Let’s take an example of healthcare data which contains sensitive details called protected health information (PHI) and falls under the HIPAA regulations. Hands-on experience with a wide range of data-related technologies The daily tasks and duties of a data architect include close coordination with data engineers and data scientists.

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Big Data Analytics: How It Works, Tools, and Real-Life Applications

AltexSoft

And most of this data has to be handled in real-time or near real-time. Variety is the vector showing the diversity of Big Data. This data isn’t just about structured data that resides within relational databases as rows and columns. The “NoSQL” part here stands for “Non-SQL” and “Not Only SQL”.

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Understanding the 4 Fundamental Components of Big Data Ecosystem

U-Next

Previously, organizations dealt with static, centrally stored data collected from numerous sources, but with the advent of the web and cloud services, cloud computing is fast supplanting the traditional in-house system as a dependable, scalable, and cost-effective IT solution. Apple is one such technology.

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Data Virtualization: Process, Components, Benefits, and Available Tools

AltexSoft

With data virtualization, Pfizer managed to cut the project development time by 50 percent. In addition to the quick data retrieval and transfer, the company standardized product data to ensure consistency in product information across all research and medical units. Data virtualization architecture example.

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