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D3.js

A JavaScript library for producing dynamic, interactive data visualizations in web browsers.

DaemonSet

A Kubernetes object that ensures that all (or some) Nodes run a copy of a specific Pod.

cloud

Danksharding

The final design for Ethereum sharding that focuses on data availability and simplifies the architecture.

web

Dark Launching

The practice of deploying a new feature to production but keeping it hidden from users to test its performance and stability.

dev

Dark Silicon

The portion of an integrated circuit that cannot be powered on at the same time due to thermal constraints.

hardware

Dash

A productive Python framework for building analytical web applications.

Dashboard

A type of graphical user interface which often provides at-a-glance views of key performance indicators (KPIs) relevant to a particular objective or business process.

Dashboarding

The visual representation of metrics, logs, and traces to provide a real-time overview of system health and performance.

dev

Data Analytics

The process of examining data sets in order to find trends and draw conclusions about the information they contain.

Data Archiving

The process of moving data that is no longer actively used to a separate storage device for long-term retention.

Data Augmentation

A technique used to increase the diversity of training data without collecting new examples, by creating modified versions of existing data.

Data Availability

The assurance that data is accessible to authorized users and applications when and where they need it.

Database per Service

A microservices pattern where each service has its own private database that cannot be accessed directly by other services.

dev

Data Catalog

A centralized metadata management service that helps users discover, understand, and manage data assets across their organization.

cloud

Data Cleansing

The process of identifying and correcting corrupt, inaccurate, or irrelevant records from a record set, table, or database.

Data Consistency

The requirement that any given database transaction must change affected data only in allowed ways.

Data Democratization

The process of making data accessible to all users within an organization, regardless of their technical expertise.

Data Dictionary

A centralized repository of information about data such as meaning, relationships to other data, origin, usage, and format.

Data Disposal

The process of permanently deleting or destroying data so that it can no longer be read or reconstructed.

Datadog

A cloud-scale monitoring and security platform that provides full-stack observability for modern applications.

cloud

Data Durability

The ability of a system to keep data stored and intact over long periods, even in the event of system failures or power outages.

Data Engineering

The practice of designing and building systems for collecting, storing, and analyzing data at scale.

Data Fabric

An integrated architecture that provides a unified view of data across disparate sources using metadata and automation.

Data Federation

A form of data virtualization where multiple databases are combined into a single virtual database.

Data Governance

The overall management of the availability, usability, integrity and security of data used in an enterprise.

Data Integration

The process of combining data from different sources into a single, unified view.

Data Lake

A centralized repository that allows you to store all your structured and unstructured data at any scale.

Data Lakehouse

A new, open data management architecture that combines the flexibility, cost-efficiency, and scale of data lakes with the data management and transactions of data warehouses.

Data Leakage

A common error in machine learning where information from outside the training dataset is used to create the model, leading to overly optimistic performance results.

Data Level Parallelism(DLP)

A form of parallelism where the same operation is performed on multiple data points simultaneously.

hardware

Data Lineage

A data life cycle that includes the data's origins and where it moves over time.

Data Link Layer

The second layer of the OSI model, responsible for node-to-node data transfer and error detection on the physical link.

network

Data Literacy

The ability to read, understand, create, and communicate data as information.

Data Loss Prevention(DLP)

A set of tools and processes used to ensure that sensitive data is not lost, misused, or accessed by unauthorized users.

security

Data Mesh

A decentralized data architecture that organizes data by business domain, treating data as a product.

Data Mining

The process of discovering patterns in large data sets involving methods at the intersection of machine learning, statistics, and database systems.

Data Modeling

The process of creating a visual representation of either a whole information system or parts of it to communicate connections between data points and structures.

Data Pipeline

A series of automated processes that collect, transform, and move data from various sources to a destination for analysis or model training.

Data Privacy

The branch of data protection that deals with the proper handling of data focusing on compliance with data protection regulations.

security

Data Profiling

The process of examining, analyzing, and creating useful summaries of data to understand its structure, content, and quality.

Data Quality

A measure of the condition of data based on factors such as accuracy, completeness, consistency, reliability and whether it's up to date.

Data Residency

The physical or geographic location of where an organization's data or information is stored.

security

Data Retention

The practice of keeping data for a specific period to meet business, legal, or regulatory requirements.

Data Sampling

The selection of a subset of individuals from within a statistical population to estimate characteristics of the whole population.

Data Science

The field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.

Data Scrubbing

A specific type of data cleansing that focuses on removing or modifying data that is incorrect, incomplete, improperly formatted, or duplicated.

Data Sovereignty

The idea that data is subject to the laws and governance structures within the nation it is collected.

security

Data Synchronization

The process of ensuring that data in two or more locations is consistent and up-to-date.

An approach to data management that allows applications to retrieve and manipulate data without requiring technical details about the data, such as how it is formatted or where it is physically located.

Data Visualization

The graphical representation of information and data.

Data Visualization Principles

A set of guidelines and best practices for creating effective and accurate graphical representations of data.

Data Warehouse

A system used for reporting and data analysis, storing structured data from multiple sources.

Data Warehouse Service

A managed, large-scale data storage and analysis service optimized for complex queries and business intelligence.

cloud

Data Wrangling

The process of transforming and mapping data from one 'raw' data form into another format with the intent of making it more appropriate and valuable for a variety of downstream purposes such as analytics.

Cloud resources that run on physical hardware dedicated to a single customer, providing higher isolation and meeting specific compliance requirements.

cloud

Deep Learning

A subset of machine learning based on artificial neural networks with multiple layers that can learn complex patterns from large amounts of data.

Deep Packet Inspection(DPI)

A form of network packet filtering that examines the data part (and possibly also the header) of a packet as it passes an inspection point.

network

Default Gateway

The node in a computer network that serves as an access point to another network, typically a router.

network

Defense in Depth(DiD)

A security strategy that uses multiple layers of defense to protect an organization's assets, ensuring that if one control fails, others are in place to stop the attack.

security

Delegated Proof of Stake(DPoS)

A consensus mechanism where network users vote for 'delegates' who are responsible for validating transactions and maintaining the blockchain.

web

Denial of Service(DoS)

An attack meant to shut down a machine or network, making it inaccessible to its intended users.

security

Dennard Scaling

The principle that as transistors get smaller, their power density stays constant, allowing for higher clock speeds without increasing heat.

hardware

Deno

A secure runtime for JavaScript and TypeScript that was created by Ryan Dahl, the original creator of Node.js.

web

Denormalization

A database optimization technique in which we add redundant data to one or more tables to avoid costly joins.

Dependency Management

The process of identifying, resolving, and managing the external libraries and modules that a software project relies on.

dev

Deployment

A Kubernetes object that provides declarative updates for Pods and ReplicaSets.

cloud

Deployment Frequency

How often an organization successfully releases code to production.

dev

Deployment Pipeline

An automated manifestation of the process for getting software from version control into the hands of users.

dev

A type of brute force attack that uses a pre-defined list of common words, phrases, and previously leaked passwords.

security

Differential Privacy(DP)

A mathematical framework for sharing information about a dataset by describing the patterns of groups within the dataset while withholding information about individuals.