Netenrich
Glossary

Data analytics is used by enterprises to extract valuable insights and develop a deep understanding of the patterns existing in raw data. However, many small and mid-sized enterprises have problems in terms of analyzing data from multiple tools in their ITOps. Making sense of data derived from multiple touchpoints in real-time is critical to meeting customer expectations. Operations teams need solutions to make sense... More

A data breach is an intentional or unintentional release of internal data made available to external entities without authorization. Data breaches can also be termed as unintentional information disclosure, data leak, information leakage, and also data spill. Data breaches can be very costly to your organization both financially and reputation-wise. ... More

Data contextualization means adding related information to any data to make it more actionable. Trends, patterns, and correlations stand out against a background of context. When you start integrating data into various sets that provide context for IT events, you get a lot more value from the data. Contextualization is crucial to delivering and maintaining quality services. But, the seamless... More

Data engineering is the process of designing, building, managing, and optimizing the infrastructure that enable the collection, storage, and processing of large volumes of data. This infrastructure can include databases, Big Data repositories, storage systems, cloud platforms, and data pipelines.... More

Data ingestion is the process of collecting and importing various types of data into a system or database for further analysis and processing. It is like a gateway that allows organizations to gather and organize vast amounts of information from various sources, such as databases, APIs, IoT devices, and social media platforms.... More

Data becomes valuable when you translate it into actionable insights. Achieving these insights starts with figuring out what you want from your data, finding its value. You need to understand the context, need, vision, and outcome of your data, and create a strategy for turning data into meaningful stories and business successes.... More

A data lake is a unified repository that stores big data from multiple sources in its raw format. It can include structured, semi-structured, unstructured, and binary data. This allows data to be stored in a flexible format for later use and helps data scientists analyze it faster and more accurately.... More

A data warehouse is an integral component of business intelligence where structured data is collated from one or more sources for analysis and reporting. It’s usually leveraged to correlate business data and deliver insights into organizational performance.... More

DDoS attacks are a website and/or business disruption tactic, with motives ranging from financial gain to political activism and potential impacts ranging from financial losses, reputational damage, and critical service downtime.... More

Detection engineering is the process of designing and implementing systems, tools, and processes to help uncover security risks and threats in computer networks, software systems, and other digital environments.... More

DevOps refers to the culture of combining “development” and “operations” for rapid IT service delivery. It requires the adoption of agile principles, collaboration between teams, and utilizing automation to shorten the software development life cycle by enabling fast feedback loops for deployment of new features or fixes.... More

Dictionary attacks are the most common among brute force attacks. The idea behind this is pretty simple: use a list of words in the dictionary to crack passwords. Attempts typically begin with assumptions about common passwords (like “password,” “12345,” etc.) and to guess the correct one from the list in the dictionary. ... More

The term digital customer experience refers to the sum of all digital interactions between a company and a customer, forming an impression of your brand. The touchpoints across the digital experience may include website, apps, chatbots, social media, customer support channels, IoTs and more.... More

Digital experience monitoring is a performance analysis practice that helps in optimizing the user experience with applications and services delivered by an organization. The digital experience of customers and employees is a critical business outcome and it’s important to monitor its impact, instead of just application or infrastructure performance.... More

The organization's digital footprint encompasses all the traceable digital activities, actions, contributions, or communications across the internet or on devices. With the increased incorporation of cloud infra and services, it's becoming increasingly difficult to track the organization's footprint. An organization's cybersecurity strategy can be considered robust only if it monitors all the unique digital footprints across all business lines and... More

Digital operations are the processes and activities organizations develop and implement to manage and optimize their digital technologies and resources. In today’s rapidly advancing digital landscape, businesses across various industries are increasingly relying on digital operations to streamline enhance productivity and deliver seamless customer experiences.... More

Digital transformation is the process through which new and existing business processes evolve with the integration of modern technologies and shift in organizational culture. The objective of digital transformation is to improve customer experience and meet latest business requirements.... More

Digitalization refers to the Digital Transformation of businesses and subsequently their IT organizations. It mandates the use of digital technologies to transform the business model and provide innovative revenue and value-generating opportunities while moving to a future-ready paradigm.... More

A distributed architecture supports distributed systems by connecting components to achieve a common goal. These may include physical servers, computers, network devices, containers, and virtual machines working as a single unit.... More

Dynamic capacity orchestration refers to facilitating rapid deployment and automation across hybrid physical and virtual networks. Companies leverage dynamic capacity orchestration to achieve faster time to market and better service delivery.... More

Dynamic operations are an integral component of modern hybrid environments that are fluid and temporal, allowing applications to be available continuously through virtualization. Dynamic ops facilitate automated provisioning, intelligent prioritization and scheduling, and integrations for holistic infrastructure management.... More

Dynamic thresholds represent bounds of an expected data range for a particular alert. Unlike static alert thresholds that are assigned manually, dynamic limits are calculated by anomaly detection algorithms and continuously trained by an alert's historical values. When dynamic thresholds are enabled, alerts are dynamically generated when these thresholds are exceeded. Simply put, alerts are generated when deviations or anomalies... More

Dynamic workloads are an important component in hybrid cloud systems that require rapid resource changes to address modern computing demands. Workloads in such virtualized environments need proactive management to ensure better availability, scalability, and cost optimization.... More