The modern data glossary

Cloud and Infrastructure

Deploying and managing computing resources through cloud platforms for scalability and reliability.

A Guide to Cloud Data Migration

Explore the process, benefits, and best practices of cloud data migration. Learn how it can optimize data management, enhance security, and reduce IT costs.

Learn about the Key Challenges and Impacts of Cloud Migration

Explore the main challenges in cloud migration, including compatibility, data security, downtime, cost, skill gap, technical complexity, security compliance, and resource constraints.

What is Infrastructure as Code (IaC)?

Infrastructure as Code (IaC): Method of managing and provisioning computing infrastructure through machine-readable definition files.

Data checkpoint

Data Checkpoints are a technique used in computing to capture and save the state of a process, allowing for recovery from failures.

Downstream data

Downstream Data is data that flows from upstream sources to downstream consumers, crucial for data-driven decision making and analytics.

Auto recovery

Auto Recovery mechanisms in systems enable the automatic restoration of data and processes following a failure or crash.

Data contracts

Data Contracts define the structure, format, and constraints of data shared between systems, ensuring consistency and reliability.

Data lag

Data Lag refers to the delay between data creation and its availability for processing or analysis, impacting decision-making.

Data skew

Data Skew is an uneven distribution of data across different nodes in a distributed system, leading to bottlenecks and performance issues.

Data iceberg

Data Iceberg is concept in data management where the bulk of data, often unseen, requires significant resources to manage.

Fault tolerance

Fault tolerance ensures systems continue to operate even when components fail, critical for maintaining service and data integrity in technology.

Streaming pipelines

Streaming Pipelines: Architectures that allow for continuous data flow, enabling real-time data processing and analytics.

Stateful storage

Stateful Storage is a type of storage solution that retains state information across sessions, Fault Tolerance is the ability of a system to continue operating without interruption when one or more of its components fail.

Throughput

Throughput measures of how much data can be processed in a given time frame, crucial for system performance evaluation.

Real time data processing

Real Time Data Processing processes data as it arrives, enabling immediate analysis and action for timely insights.

What is a modern data stack?

Modern data stack: Discover the essential components and benefits of a cutting-edge data infrastructure in today's digital landscape.

What is Scalable Infrastructure?

Scalable infrastructure: Discover how to build a flexible and efficient system that grows with your business needs.

What Is Data Infrastructure Optimization?

Data infrastructure optimization: Optimize your data infrastructure for peak performance and cost-effectiveness.

Warehousing Solutions

Understand warehousing solutions, systems that store and manage large volumes of data for query and analysis.

Lakehouse Architecture

Explore lakehouse architecture, a hybrid data management approach combining data lake flexibility with data warehouse performance.

Nosql Database

Understand NoSQL databases, flexible data storage solutions designed for large-scale data management, supporting varied data models.

What is Cloud Computing?

Explore Cloud Computing, the delivery of computing services over the internet, including storage, processing, and software on demand.

What is Data Orchestration?

Understand Data Orchestration, the automated arrangement, coordination, and management of complex data workflows and services.

What is Data Streaming?

Explore Data Streaming, the technology that allows for the continuous transfer of data at high speed for real-time processing and analysis.

What is Data Infrastructure?

Understand Data Infrastructure, the foundational systems and services that support the collection, storage, management, and analysis of data.

What is a Data Management Platform (DMP)?

Get insights into Data Management Platforms (DMP), systems that collect and manage data, allowing businesses to target specific audiences.

What does Cloud Native mean?

Cloud Native Data Management refers to systems and practices specifically designed to handle data within cloud environments.

What is the MQTT Protocol?

MQTT, or Message Queuing Telemetry Transport, is a lightweight messaging protocol specifically designed for machine-to-machine (M2M) communication.

What is An SDK (Software Development Kit)?

A Software Development Kit (SDK) is essential in data management as it provides developers with a set of tools to create applications specific to data management platforms.

What Is A CDN (Content Delivery Network)?

A Content Delivery Network (CDN) improves data management by optimizing the delivery of data-heavy applications.

What Is The ELK Stack (Elasticsearch, Logstash, Kibana)?

The ELK Stack is a powerful trio of tools that work in unison to facilitate the searching, analyzing, and visualization of data. It encompasses Elasticsearch, Logstash, and Kibana

What is Systems Development Life Cycle (SDLC)?

The Systems Development Life Cycle (SDLC) plays a crucial role in data management by providing a structured approach to the development and maintenance of data systems. This methodology ensures that data management solutions are designed, implemented, and updated in a systematic and efficient manner.

What is IoT?

IoT, or the Internet of Things, significantly augments data management systems by providing a continuous stream of real-time data from a myriad of connected devices.

What is An API?

An API defines a set of rules and protocols for building and interacting with software applications, making it possible for developers to access and use functionalities provided by an external service or software component.

What is Apache Airflow?

Apache Airflow is a platform to programmatically author, schedule and monitor workflows. Learn about the history of Apache Airflow and more here.