What is Data Logging? – A beginner’s guide

Data can provide you with all the insights necessary to improve the working efficiency of whatever! From start-ups to enterprises, adequate data storage has become the next big thing. That is where Data Logging comes in. Be it information about processor cycles to logs for identifying malicious threats; Data Logging is the savior of this era of technology.

But wait. Do you know what Data Logging is? If not, then this guide is for you. Read on to know all about Data Logging.

What is Data Logging

Data Logging is to collect data to identify trends over a certain period methodologically. This Data is then stored in databases on a computer or the Cloud. These data logs can be maintained for any environment. Once analyzed, this data can provide you with valuable insights.

From processor cycles to malicious threats, whatever can be measured can be logged. But logging it must result in actual information, as otherwise, it is a useless endeavor.

How does Data Logging work

Data Logging can be done with the help of sensory devices or loggers. These data loggers possess special circuitry consisting of a microprocessor, some storage element, and the actual sensor. These sensors can collect data at a specified time interval. The recorded information is then temporarily stored and transferred to a database.

This Data Logging system offers a general understanding of the more sophisticated Data Logging software. From server to computer to web and now even Cloud-based Data Logging systems, Data Logging is becoming more efficient in its daily operations.

Types of Data Loggers

Logging data for various environments effectively detects trends and patterns to gather valuable insights. Data Logging can be done using different types of sensors. The four common types of data loggers are

1. USB data logger – Such a data logger, is a standalone sensor. Tends to be small and portable. They have a USB port to accommodate data transfer to a computer. Hence support manual offloading.
2. Bluetooth/Wireless loggers – Such loggers support wireless offloading. You can access the data via particular wireless options. It also supports cloud-based Data Logging.
3. Computer-based loggers – This Data Logging system can connect to a computer for instant analysis. The sensors continuously send data analyzed in real-time to get a visual image.
4. Web-based loggers allow data to be transferred to secure remote web-based servers. The stored data can hence be accessed through the server and processed quickly.

Advantages and Disadvantages of Data Logging

When is Data Logging a no-go?

Data Logging is almost always effective, from keeping logs of any modifications to a file to storing data for gigantic industrial processes. All this data can help to identify valuable insights for improving operations. But there are times when logging data would violate privacy.

Keeping unauthorized tabs is one of the most common cyber crimes of today. Your online activity can be subjected to such snooping. Hence it is necessary to have proper security for your network. A reliable VPN service can help to keep your network secure. But make sure to use the best no-log VPN, PureVPN. A no-log VPN does not support any log of your online activity to ensure complete security along with many added benefits.

Benefits of Data Logging

Data is significant, and logging it can prove to be more helpful. Today Data Logging is being used in almost all forms and places for extracting vital information from data:

• Data Logging can be done manually and via electronic devices for problems of every scale.
• Data Logging helps to improve business operations by detecting valuable insights.
• Data Logging can benefit information security by keeping logs to detect malicious activity.
• We can easily see and eradicate issues by viewing data trends for specific intervals.
• Data Logging software can help eliminate overhead costs for time, space and money.

Hence Data Logging can install better working practices in all domains. Data has thus found practical meaning via such logging mechanisms for extracting tangible information.