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Data Profiling: Types, Techniques and Best Practices

Astera

Relationship Discovery: This process identifies the relationships and dependencies between different data elements. It includes format checks, range checks, and consistency checks to ensure data is clean, correct, and logically consistent. This helps ensure that data is clean and reliable for further use.

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The Next Frontier in Telehealth

GAVS Technology

It can be done through an electronic scale, a vital sign monitor, a glucometer, or any other device that can effectively monitor bio-parameter. This form of telemedicine allows a patient to be easily monitored from home or a nearby facility, without having to travel a lot. during the forecast period, to reach USD 191.7

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Information Marts: Enabling Agile, Scalable, and Accurate BI

Astera

Information marts enable analytics teams to leverage historical data for analysis by accessing the full history of changes and transactions stored in the data vault. This allows them to perform time-series analysis, trend analysis, data mining, and predictive analytics.

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Your Data Won’t Speak Unless You Ask It The Right Data Analysis Questions

Data Pine

But if you find a development opportunity, and see that your business performance can be significantly improved, then a KPI dashboard software could be a smart investment to monitor your key performance indicators and provide a transparent overview of your company’s data. Let’s see this through a straightforward example.

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What Is The Difference Between Business Intelligence And Analytics?

Data Pine

BI and BA will provide an organization with a holistic view of the raw data and make decisions more successful and cost-efficient. Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions.

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The Change Data Capture (CDC) Guide for PostgreSQL

Astera

These are some of the major reasons for its impressive longevity—PostgreSQL has been around for over two decades and continues to rank among the most widely used relational databases for data management today. The two complement each other so you can leverage your data more easily.

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What is a Data Pipeline?

Insight Software

The key components of a data pipeline are typically: Data Sources : The origin of the data, such as a relational database , data warehouse, data lake , file, API, or other data store. For example, streaming data from sensors to an analytics platform where it is processed and visualized immediately.