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Glossary
Articles
What is Batch Processing?
Batch processing refers to the processing of a large set of data or tasks in a non-interactive mode, typically in a scheduled time frame. It is a way of processing large volumes of data, where a large number of transactions or data records are collected over a period of time, and then processed together in a single batch, rather than processing each transaction or data record individually in real-time.
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What is Big Data?
Big data refers to the large and complex sets of data that organizations need to process and analyze. It is characterized by its volume, variety, and velocity. Volume refers to the sheer amount of data that organizations need to process and store. Big data is generated by various sources, and it can be used to gain insights and make predictions in various fields.
What is Business Intelligence?
Business Intelligence (BI) is a set of technologies, applications, and practices used to analyze and report on business data to support decision-making. It involves the use of data, statistical models, and visualizations to gain insights and make data-driven decisions.
What is Change Data Capture (CDC)?
Change Data Capture (CDC) is a method of capturing and tracking changes made to a database over time. It involves tracking and recording changes to data as they occur, rather than periodically taking a snapshot of the entire data set.
What is Data Mining?
Data mining is the process of discovering patterns, trends, and insights in large sets of data. It is a technique used to extract useful information from large amounts of data and transform it into an understandable structure for further use. Data mining is commonly used in fields such as marketing, finance, healthcare, and fraud detection.
What is Edge Analytics?
Edge analytics is a method of performing data analysis and processing at the source of the data, rather than in a centralized location such as a data center or cloud. In this way, edge analytics allows for real-time analysis of data as it is generated, without the need to transmit large amounts of data over a network to a centralized location for processing.
What is ELT
ELT stands for Extract, Load, Transform. It is a variation of the traditional ETL process, where the data is first loaded into the destination system, and then transformed and cleaned. The main difference between ETL and ELT is the order of operations. The benefits of using ELT are that it allows for more flexible and efficient data processing.
What is an API?
An API, or Application Programming Interface, is a set of rules and protocols that allows different software applications to communicate with each other. API's allow different systems to share data and functionality, making it possible for different software applications to work together seamlessly.
What is ETL
ETL stands for Extract, Transform, Load. It is a process used to move data from one or more sources into a destination system, such as a data warehouse or a data lake. ETL is a process that helps organizations to collect, integrate, and manage large and complex data sets from multiple sources.
What is Event Processing?
Event processing refers to the real-time analysis and processing of events, which are defined as significant occurrences or changes in a system or environment. Event processing systems typically use complex algorithms and machine learning techniques to analyze and process data in real-time, and can be used for a wide range of applications.
What is Stream Analytics?
Stream analytics is the process of analyzing and gaining insights from data streams in real-time. It is a subset of stream processing and refers to the specific techniques and algorithms used to analyze and extract insights from the data streams as they are generated.
What is Hybrid Integration Platform?
A hybrid integration platform (HIP) is an integration platform that allows organizations to connect and integrate their on-premises systems and applications with cloud-based systems and applications. It is a combination of both traditional integration technologies and cloud-native integration technologies that can be deployed on-premises, in the cloud, or in a hybrid environment.
What is In-memory Computing?
In-memory computing is a technology that allows data to be processed and analyzed directly in a computer's memory, rather than being stored on disk. It is a way to speed up the processing of large amounts of data by keeping the data in the computer's random access memory (RAM) instead of reading it from disk.
What is iPaaS?
iPaaS stands for Integration Platform as a Service. It is a cloud-based platform that provides a set of tools and services to help organizations integrate their applications, data, and systems. iPaaS allows organizations to connect and integrate different systems, applications, and data sources in a secure and managed environment, without the need for complex and expensive infrastructure.
What is NoSQL?
NoSQL (Not only SQL) is a type of database management system that is used to store and retrieve large amounts of unstructured and semi-structured data. It is designed to handle the scale and complexity of modern big data.
What is Python?
Python is a high-level, interpreted programming language that is widely used in various fields such as web development, scientific computing, data analysis, and artificial intelligence. It is known for its simple and easy-to-learn syntax, which makes it a popular choice for beginners and experienced programmers alike.
What is Real-time Systems?
Real-time refers to a system or process that operates in real-time, meaning it processes and responds to incoming data or events immediately or with minimal delay. Real-time systems are designed to handle and process data as it is generated, without any significant delay.
What is Reverse ETL?
Reverse ETL (Extract, Transform, Load) is a process that involves taking data from a target system and loading it into a source system. It is the opposite of traditional ETL, which involves extracting data from a source system, transforming it, and loading it into a target system.
What is SQL?
SQL (Structured Query Language) is a programming language that is used to manage and manipulate relational databases. It is used to insert, update, delete and retrieve data from a relational database. It is a standard language used by most relational databases, such as MySQL, Oracle, Microsoft SQL Server, and others.
What is Stream Processing?
Stream processing is a method of processing data in real-time as it is generated, rather than in batches. In this way, stream processing allows for real-time analysis of data as it is generated, rather than having to wait for the data to be collected and stored before it can be analyzed.
What is Structured Data?
Structured data refers to data that is organized in a specific format or schema, such as rows and columns in a table. It is well-defined and follows a specific structure, making it easy to search, query, and analyze. Structured data can be stored in various forms such as relational databases, spreadsheets, and CSV files.
What is Unstructured Data?
Unstructured data refers to data that does not have a specific format or schema, such as text, images, audio, and video. It is not organized in a specific way and is often unformatted or semi-formatted, making it difficult to search, query, and analyze. Unstructured data can be stored in various forms such as text files, images, audio and video files, and social media posts.
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