How is Data secured on computers? Data security ensures that sensitive information cannot fall into the wrong hands. Techniques used to secure computer data including encryption, which scrambles messages so they cannot be read without knowing a specific decryption key; authentication, which verifies us...
Thus, if a data type is astring, the computer might interpret it as the name of a person or city, a greeting and so on. However, if the data is of typeBoolean, the computer will know that it can only have one of two values: true or false. Similarly, the computer will interpret w...
In computers, all data is stored as sequences of0s and1s. The computer needs to know the data type of the data stored to interpret it correctly, and to present it to the user in the right way. So for example, the same binary sequence1000001stored in the computer, can be interpreted ...
A data type is a classification that dictates what a variable or object can hold in computer programming and lets a computer know how to interpret the data's value. For example, a data type might dictate the range of a set of values and which mathematical operations may be performed on ...
Data Security vs Data Privacy Data privacy is the distinction between data in a computer system that can be shared with third parties (non-private data), and data that cannot be shared with third parties (private data). There are two main aspects to enforcing data privacy: Access control—en...
An ETL pipeline is a traditional type of data pipeline which converts raw data to match the target system via three steps: extract, transform and load. Data is transformed in a staging area before it is loaded into the target repository (typically a data warehouse). This allows for fast an...
Data science is useful in every industry, but it may be the most important in cybersecurity. For example, international cybersecurity firm Kaspersky uses science and machine learning to detect hundreds of thousands of new samples of malware on a daily basis. Being able to instantaneously detect ...
Azure Data Factory (ADF) is a cloud-based data integration service for orchestrating and automating data workflows across on-premises and cloud environments.
Common data classification steps Not all data needs to be classified. In some cases, it isn't necessary to retain data, sodestroying it is the prudent course of action. Understanding why data needs to be classified is an important part of the process. ...
Learn about common data types—booleans, integers, strings, and more—and their importance in the context of gathering data.