Anomaly Detection
Recognizing unusual patterns in data that could indicate a problem. Imagine noticing an unanticipated rise in your electricity bills; this might point to a problem with a piece of machinery.
Big Data
Modern technologies are required for processing, analysis, and storage of the massive and complex datasets that come from various sources and are characterized by their high volume, velocity, and variety.
Cloud Technology
Internet-based computing gives PCs and other devices on-demand access to pooled data and processing resources.
Cybersecurity
The process of defending programs, networks, and systems involved in big data processing from online threats.
Data Anonymization
Deleting from data sets any personally identifiable information (PII). This is analogous to blurring out people’s faces in a crowd photo.
Data Cleansing
Locating and fixing mistakes in data sets. This is analogous to organizing a disorganized space to facilitate object retrieval.
Data-Driven Decision Making
A method of making choices that are supported by data interpretation and analysis as opposed to only gut feeling or observation.
Data Governance
The set of policies, processes, and procedures for managing an organization’s data. Think of it as the rules and guidelines for how data is handled within a company.
Data Integration
The process of combining data from different sources to provide a unified view.
Data Profiling
Examining data to find trends and patterns. This is similar to examining your bank statements to determine where the majority of your money is spent.
Data Stewardship
The duty of individuals or groups to guarantee the accuracy, privacy, and security of data. It would be similar to designating someone to oversee the upkeep of a tidy and well-organized workplace kitchen.
Data Warehousing
A reporting and data analysis system that acts as a central repository for combined data from one or more different sources.
Deduplication
Locating duplicate records in a data set and eliminating them. Envision organizing your wardrobe and getting rid of items you own in multiples.
Decision Support Systems
Computer-based information systems that assist in organizational or business decision-making.
Distributed Computing Frameworks
Technologies that facilitate the processing and analysis of massive datasets across numerous computer systems include Hadoop and Spark.
Edge Computing
A distributed computing architecture that reduces latency and saves bandwidth by moving processing and data storage closer to the point of demand.
Ethical and Privacy Concerns
Concerns about the appropriate use of data, such as protecting people’s right to privacy and ensuring that data is secure.
High Availability
A method for designing systems and implementing related services that guarantee a specific level of operational continuity over the course of the measurement period.
Internet of Things (IoT)
A network of real, physical items that have been outfitted with sensors, software, and other technologies to connect to the internet and exchange data with other devices and systems.
Machine Learning
A branch of artificial intelligence in which data and experience allow algorithms to automatically get better.
Multi-Factor Authentication (MFA)
Requiring several verification methods, such as a password and a fingerprint scan, in order to get access to a system. It’s similar to having to unlock your phone with both a key and a security code.
NoSQL Databases
A kind of database that offers flexibility in data storage and retrieval and is intended to manage unstructured data.
Outlier Detection
Identifying data points that deviate from a set’s predicted range. Imagine finding what would probably be an anomalous temperature reading—120 degrees Fahrenheit in December.
Penetration Testing
Creating a cyberattack simulation to find gaps in a system’s security. To get an idea of how simple it would be for a burglar to enter your home, try picking the lock of your residence.
Predictive Analytics
Estimating future outcomes’ likelihood using data, statistical algorithms, and machine learning methods based on past performance.
Predictive Maintenance
Methods created to assist in assessing the state of in-service equipment in order to forecast when maintenance is necessary and avert unplanned equipment breakdowns.
Privacy by Design (PbD)
Taking privacy concerns into consideration from the beginning while developing data processing systems. Rather than adding security cameras and strong locks later, think about designing a house with these features from the ground up.
Real-time Analytics
The quick examination of data to enable action and insights as soon as it is available.
Route Optimization
The process of determining the most efficient routes to minimize travel time and fuel consumption.
SIEM (Security Information and Event Management)
Tools for gathering and analyzing security data from many sources to identify potential security incidents. Imagine it as your main security dashboard, monitoring all of your security cameras and alarms.
Standardization
Ensuring uniformity in data formats between sets. This is comparable to making sure that every person in your organization writes dates in the same format (MM/DD/YYYY).
Validation Rules
Defined standards for that verify completeness and quality of data. Consider having a checklist to make sure every field on a form is filled out accurately.
