| Cloud SQL | A fully managed relational database service in Google Cloud, compatible with MySQL, PostgreSQL, and SQL Server, designed for structured data and traditional database schemas. |
| Bigtable | A high-performance NoSQL database service in Google Cloud, suitable for large-scale applications requiring high throughput and low latency, such as big data analytics and operational workloads. |
| BigQuery | A serverless, highly scalable data warehouse solution in Google Cloud, optimized for large-scale data analytics with SQL-like querying capabilities. |
| Cloud Spanner | A globally-distributed database service in Google Cloud that combines features of traditional relational databases with the scalability of NoSQL systems. |
| Structured Data | Data that follows a specific format with rows and columns, making it easy to enter, query, and analyze. |
| Unstructured Data | Data that doesn’t have a pre-defined model or organization, often text-heavy and includes data types like emails, videos, and social media posts. |
| ACID Transactions | A set of properties (Atomicity, Consistency, Isolation, Durability) that guarantee database transactions are processed reliably. |
| NoSQL Database | A non-relational database that allows for storage and retrieval of data that is modeled in means other than tabular relations used in relational databases. |
| Data Warehouse | A system used for reporting and data analysis, focusing on the storage and retrieval of large volumes of data for comprehensive analysis. |
| Horizontal Scalability | The ability of a system to increase capacity by connecting multiple hardware or software entities so that they work as a single logical unit. |
| Transactional Consistency | Ensuring that database transactions are performed in a reliable and consistent manner, maintaining data integrity. |
| Serverless Architecture | A cloud computing execution model where the cloud provider dynamically manages the allocation of machine resources. |
| SQL-like Queries | Queries that are structured in a way similar to SQL (Structured Query Language), used for managing and manipulating relational databases. |
| Real-time Analytics | The process of analyzing data as soon as that data becomes available, allowing for immediate insights and decision-making. |
| Business Intelligence | Technologies, applications, and practices for the collection, integration, analysis, and presentation of business information. |
| Machine Learning Integration | The ability to incorporate machine learning algorithms and models into the database service for advanced data analysis. |
| Geospatial Analysis | Analyzing data that has a geographic or spatial component, often involving map-based data. |
| Data Schema | The structure of a database system, described in a formal language, which supports the database management system (DBMS). |
| High Availability | A system design approach and associated service implementation that ensures a prearranged level of operational performance, usually uptime, for a higher than normal period. |
| Automated Backups | The process of automatically creating a copy of data on a system and storing it safely so that it can be restored in case of data loss. |
| IoT Data | Data generated by Internet of Things devices, typically involving a network of physical objects embedded with sensors, software, and other technologies. |
| User Analytics | The process of collecting, analyzing, and reporting data about user interactions and behaviors on websites and applications. |
| Financial Data Processing | Managing and processing data related to financial transactions and records, often involving large volumes of data and requiring high accuracy and security. |
| Data Integrity | The maintenance of, and the assurance of the accuracy and consistency of data over its entire lifecycle. |
| Migration Needs | Requirements and considerations involved in moving data, applications, or other business elements from one environment to another. |
| Compliance Needs | The requirements to adhere to laws, regulations, guidelines, and specifications relevant to business operations. |
| Decision Tree | A decision support tool that uses a tree-like graph or model of decisions and their possible consequences. |
| Comparative Analysis | The systematic comparison of different aspects of two or more entities to identify similarities and differences. |
| Cloud Computing | The delivery of different services through the Internet, including data storage, servers, databases, networking, and software. |
| Data Processing | The collection and manipulation of data to produce meaningful information. |
| Infrastructure Management | The management of essential operation components for an organization’s information technology (IT) services and equipment. |
