Remove Accessibility Remove Data Collection Remove Utilities
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Interesting startup idea: benchmarking cloud platform pricing

The Pragmatic Engineer

The name comes from the concept of “spare cores:” machines currently unused, which can be reclaimed at any time, that cloud providers tend to offer at a steep discount to keep server utilization high. The startup was able to start operations thanks to getting access to an EU grant called NGI Search grant. Tech stack.

Cloud 278
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What Is Data Collection? Methods, Types, Tools, and Techniques

U-Next

The primary goal of data collection is to gather high-quality information that aims to provide responses to all of the open-ended questions. Businesses and management can obtain high-quality information by collecting data that is necessary for making educated decisions. . What is Data Collection?

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What Is Data Collection: Different Types of Data Collection, Tools, and Steps

Edureka

The secret sauce is data collection. Data is everywhere these days, but how exactly is it collected? This article breaks it down for you with thorough explanations of the different types of data collection methods and best practices to gather information. What Is Data Collection?

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Top Data Science Jobs for Freshers You Should Know

Knowledge Hut

For more information, check out the best Data Science certification. A data scientist’s job description focuses on the following – Automating the collection process and identifying the valuable data. To pursue a career in BI development, one must have a strong understanding of data mining, data warehouse design, and SQL.

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Top 10 Data Science Websites to learn More

Knowledge Hut

Best website for data visualization learning: geeksforgeeks.org Start learning Inferential Statistics and Hypothesis Testing Exploratory data analysis helps you to know patterns and trends in the data using many methods and approaches. In data analysis, EDA performs an important role.

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How a modern data platform supports government fraud detection

Cloudera

Furthermore, the same tools that empower cybercrime can drive fraudulent use of public-sector data as well as fraudulent access to government systems. In financial services, another highly regulated, data-intensive industry, some 80 percent of industry experts say artificial intelligence is helping to reduce fraud.

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A Guide to Data Pipelines (And How to Design One From Scratch)

Striim

Understanding the essential components of data pipelines is crucial for designing efficient and effective data architectures. Third-Party Data: External data sources that your company does not collect directly but integrates to enhance insights or support decision-making.