Glossary
A repository of acronyms, jargon, and useful words for product and customer teams
Anomaly Detection
Anomaly detection is the process of finding data points that are outliers from the rest of a data set.
Read full descriptionApache Arrow
Apache Arrow a language-agnostic software framework for developing data analytics applications that process columnar data. It contains a standardized column-oriented memory format that is able to represent flat and hierarchical data for efficient analytic operations.
Read full descriptionApache Arrow Flight SQL
Apache Arrow Flight SQL provides a high performance SQL interface for working with databases over a network
Read full descriptionApache DataFusion
DataFusion is an in-memory query planning, optimization, and execution framework. DataFusion was created in 2017 and donated to the Apache Arrow project in 2019.
Read full descriptionApache Parquet
Apache Parquet is an open source columnar data file format that supports different encoding and compression schemes to optimize it for efficient data storage and retrieval in bulk.
Read full descriptionARIMA
An Autoregressive Integrated Moving Average (ARIMA) model is a widely used time series forecasting technique.
Read full descriptionCAP Theorem
CAP theorem is a computer science theory related to the tradeoffs involved with designing distributed databases.
Read full descriptionCardinality
In the context of databases cardinality is the number of unique sets of data stored in a database. Specifically, it refers to the total number of unique values possible within a table column or database equivalent.
Read full descriptionColumn Database
Column databases are a type of DBMS that store data formatted in columns rather than rows and are optimized for analytics workloads.
Read full descriptionData Warehouse
A data warehouse is a data management system that supports business intelligence, such as data analysis. Data warehouses help you make more insightful decisions about your business.
Read full descriptionDatabase as a Service (DBaaS)
Database-as-a-service (DBaaS) is a cloud computing service that provides access to a cloud database system without needing to set up, configure, or manage software or physical infrastructure.
Read full descriptionDistributed Tracing
Tracing is a method for understanding how interconnected components of a distributed system interact with each other.
Read full descriptionEdge Computing
Edge computing is a type of computing that happens near a data source. It allows you to perform computing tasks as close to an IoT device or end user as possible instead of using a data center or the cloud.
Read full descriptionETL (Extract, Transform, Load)
ETL stands for Extract, Transform, Load and is the process of moving and manipulating data from different sources before storing it in another database.
Read full descriptionIoT Devices
The Internet of Things refers to the network of interconnected "things" with sensors, software, processing ability, and other technologies that connect and exchange data with other internet-connected devices. IoT devices include smartphones, medical sensors, fitness trackers, smart security systems, and other technologies.
Read full descriptionOnline Analytical Processing (OLAP)
Online Analytical Processing (OLAP) is an approach to working with typically multidimensional data for analytics use cases.
Read full descriptionOPC Unified Architecture (OPC UA)
OPC UA is a cross-platform standard for moving data between sensors and cloud applications.
Read full descriptionPrometheus metrics
Prometheus stores four metric types for monitoring needs: counters, gauges, histograms, and summaries.
Read full descriptionReal User Monitoring
Real User Monitoring(RUM) is the process of collecting user data to gain insights into your application's performance and how it is being used.
Read full descriptionSCADA (Supervisory Control And Data Acquisition)
SCADA stands for Supervisory Control and Data Acquisition. A SCADA system is usually a collection of both software and hardware components that allow supervision and control of industrial plants.
Read full descriptionSeasonality
Seasonality is the presence of regular and predictable change in time series data.
Read full descriptionStationarity
Stationarity refers to a time series where the statistical properties of that series don’t depend on the time when observing it.
Read full descriptionSQL
SQL is a domain specific language used in programming and designed for managing data held in a relational database management system.
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