Teradata: Teradata is a powerful relational database management system specifically designed to handle large amounts of data. It provides a scalable platform for high-performance analytics, data warehousing, and real-time data processing. This skill should be measured in the test to ensure that candidates have a strong understanding of how to work with Teradata, including its architecture, data manipulation, and performance optimization.
SQL: SQL (Structured Query Language) is a programming language used to manage and manipulate relational databases. It allows users to retrieve, insert, update, and delete data from a database. Measuring SQL skills in the test is important as it is an essential language for interacting with Teradata and performing various database operations.
Database Management: Database management involves the tasks related to designing, organizing, and maintaining databases. It includes activities such as creating and managing database schemas, optimizing database performance, ensuring data integrity, and implementing security measures. This skill should be measured in the test to evaluate candidates' ability to manage and administer databases effectively.
ETL: ETL (Extract, Transform, Load) is the process of extracting data from various sources, transforming it into a suitable format, and loading it into a target database or data warehouse. It is an essential skill to measure in the test as it demonstrates candidates' ability to handle data integration, data cleansing, and data quality during the ETL process.
Data Modeling: Data modeling is the process of creating a conceptual representation of data structures, relationships, and constraints to support efficient and accurate data management. Measuring data modeling skills in the test is crucial as it assesses candidates' ability to design logical and physical data models that align with business requirements and promote data consistency and integrity.
Data Analytics: Data analytics involves analyzing and interpreting large volumes of data to uncover insights, trends, and patterns that can drive business decision-making. It requires skills in statistical analysis, data visualization, and data mining. Measuring data analytics skills in the test is important as it assesses candidates' ability to derive meaningful insights from data using various analysis techniques.
Data Integration: Data integration refers to the process of combining data from different sources and providing users with a unified view of the integrated data. It involves extracting, transforming, and loading data from disparate systems into a consolidated data repository. Measuring data integration skills in the test is crucial as it evaluates candidates' ability to handle complex data integration scenarios, ensure data consistency, and mitigate data quality issues.
Data Migration: Data migration is the process of transferring data from one system to another, typically during system upgrades or transitions. It involves extracting data from the source system, transforming it into a compatible format, and loading it into the target system. Measuring data migration skills in the test is important as it assesses candidates' ability to plan, execute, and validate data migration activities while ensuring data accuracy, completeness, and integrity.
Teradata Utilities: Teradata Utilities are a set of tools and utilities provided by Teradata for various data management and processing tasks. These utilities include FastLoad, MultiLoad, FastExport, and more. Measuring Teradata utilities skills in the test is relevant as it evaluates candidates' familiarity and proficiency in using these tools to enhance data loading, data extraction, and data processing capabilities.