Unable to find what you're searching for?
We're here to help you find itThe Oracle Database 19c: SQL Workshop course is an extensive training program designed to teach learners the essential skills for working with the SQL language within the Oracle Database 19c environment. This course covers a broad spectrum of SQL techniques, from basic Data retrieval to more complex functions such as manipulating data and managing user access.
Starting with an introduction, participants quickly move on to learn how to retrieve data using the SQL SELECT statement, apply restrictions, sort data, and customize output with Single-row functions. Conversion functions, Conditional expressions, and Group functions are explored to report aggregated data.
Learners will gain practical experience with Multiple-table joins, Subqueries, Set operators, and data manipulation language (DML) statements. The course teaches data definition language (DDL) basics, explores data dictionary Views, and instructs on Creating sequences, Synonyms, Indexes, and Views. Schema object management, Advanced queries, User access control, and Managing data across different time zones are also key components of this comprehensive workshop.
By completing the Oracle Database 19c: SQL Workshop, participants will develop a robust understanding of Oracle SQL, enabling them to effectively manage and query an Oracle database, enhancing their database management and analysis skills.
Successfully delivered 15 sessions for over 38 professionals
Successfully delivered 15 sessions for over 38 professionals
Purchase This Course
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
♱ Excluding VAT/GST
You can request classroom training in any city on any date by Requesting More Information
Certainly! Here are the minimum required prerequisites for students interested in successfully undertaking the Oracle Database 19c: SQL Workshop course:
Please note that the course is designed to accommodate beginners in SQL and Oracle Database technologies, gradually building up to more advanced topics. Students are encouraged to have a proactive learning attitude and to not hesitate to seek assistance from instructors when needed.
The Oracle Database 19c: SQL Workshop is designed for professionals seeking to master SQL queries and database management.
Target Audience for Oracle Database 19c: SQL Workshop:
The Oracle Database 19c: SQL Workshop course equips students with fundamental SQL skills, enabling data management and manipulation within Oracle databases.
Learning Objectives and Outcomes:
Conditional expressions in programming are used to perform different actions based on whether a specified condition is true or false. They are essentially "if-then" statements within code that allow for decision-making processes. For example, in a program, if a condition meets certain criteria (true), then a specific action is executed; if it does not meet the criteria (false), the program can either skip the action or perform a different action. These conditions help in controlling the flow of the program and making it dynamic and responsive to different inputs or environments.
Group functions in SQL are used to perform operations on a set of rows and return a single result per group. These functions are crucial for data analysis, allowing you to compute aggregate values such as the average, sum, maximum, minimum, and count across specified groups of data. Common functions include AVG, SUM, MAX, MIN, and COUNT. When working with data in databases like Oracle Database 19c, using group functions efficiently can help in generating important insights and reporting metrics from large datasets within your SQL workshop environments. These functions are key in simplifying complex data into manageable summaries.
Set operators in SQL are used to combine the results of two or more SELECT statements into a single result set. Common set operators include UNION, INTERSECT, and EXCEPT. UNION combines results from two queries and eliminates duplicate rows. INTERSECT returns only the rows that appear in both queries. EXCEPT returns rows from the first query that are not in the second. These operators are fundamental for data analysis and management in databases, such as Oracle Database 19c, allowing for efficient comparison and combination of datasets within SQL queries.
Data Manipulation Language (DML) statements are used in SQL to retrieve, insert, modify, and delete data in databases. These commands include SELECT, to fetch data; INSERT, to add new records; UPDATE, to modify existing data; and DELETE, to remove data. Understanding DML is crucial for managing and interacting with databases, ensuring data is accurate and up-to-date. These operations form the backbone of database handling and manipulation, playing a vital role in data administration and application development.
Conversion functions in programming are used to change data from one type to another, such as converting a string to a number or vice versa. This is crucial when you need to manipulate values for comparisons, calculations, or displaying data in a specific format. For example, in an Oracle Database 19c SQL workshop, you might learn how to use conversion functions like TO_NUMBER to turn text data into numeric form for mathematical operations, or TO_CHAR to format numbers into strings, perhaps for generating reports or aligning output according to user preferences. These functions are essential for ensuring data integrity and usability across different system components.
An SQL SELECT statement is used in databases to fetch specific data from a table. It allows you to specify the columns you want to see, and it can filter records to meet certain conditions. For example, with SELECT you might retrieve all names and dates of birth from a table of customers. You can also combine conditions to narrow down results, sort them in a specific order, or group them by similarities. This command is fundamental for analyzing data stored within databases, helping users to view exactly what they need from large datasets.
Data retrieval involves extracting information from a data source, usually a database, to perform analysis or inform decision-making. The process can be simple, like retrieving a list of customers from a database, or complex, involving multiple sources and parameters. Effective data retrieval uses structured queries to specify exactly what information is needed, making the process efficient and accurate. Technologies like SQL, used in systems such as Oracle Database 19c, are fundamental in formulating these queries, helping users to retrieve precise data subsets quickly and reliably from large databases.
Single-row functions in SQL are operations that work on one row at a time to manipulate data items and return a single result per row. They can transform values in a column, such as changing text case, calculating dates, or numerical operations like finding a square root. Each function takes inputs from a specific row's columns, processes them, and returns an output for that row, independent of other rows. This makes single-row functions essential for data analysis and reporting, allowing for precise adjustments and calculations on individual data entries within a database, such as Oracle Database 19c.
Data Definition Language (DDL) is a component of SQL used to define and modify database structures. DDL commands include CREATE, to build new database elements like tables; ALTER, to change existing structures; and DROP, to delete elements. By using DDL, database administrators and developers can set up and adjust the schema of a database to meet various application needs, ensuring data is organized efficiently and accessibly.
Data dictionary views in Oracle Database 19c are essential components that provide administrators and developers with detailed information about the database structure and metadata. These views act as a readable reference of all objects in the database, such as tables, indexes, and users. They help in managing the database by offering insights directly from the SQL Workshop, ensuring effective control and optimization of database operations. Essentially, they serve as a map to understand and interact with the underlying structures and relationships within the Oracle database environment.
Creating sequences in a database, particularly in contexts like Oracle Database 19c, involves setting up a database object that can generate unique numerical values automatically. This is primarily used to create unique identifiers for table rows. A sequence generates numbers according to specified intervals and can be very helpful in maintaining orderly data management and ensuring that each entry is uniquely and consistently identifiable, critical for tasks such as indexing and referencing different data entries efficiently in larger databases or SQL workshops.
Synonyms in technology refer to different words or phrases that have similar meanings or functions within a tech context. For example, in database management, the term 'backup' might have synonyms like 'copy' or 'replicate'. Similarly, in software development, 'debugging' can be synonymous with 'troubleshooting'. Using synonyms can help streamline communication, avoid repetition, and enhance understanding among professionals, especially when discussing complex technical issues or solutions. It's essential for clear and efficient interaction among team members and documentation in any tech-related project.
Indexes in databases are used to speed up the retrieval of data. Just like the index in a book helps you find information quickly without reading every page, a database index allows the database to find and retrieve specific rows much faster than it would without the index. Normally, when a database executes a query, it has to scan every row in a table—this is time-consuming. An index provides a shortcut to this scanning process, leading to quicker search results. Indexes are especially important in large databases and are a key performance feature in managing and querying complex data efficiently.
Views in database management are virtual tables generated from SQL queries. They function as snapshots of parts of tables or joins of multiple tables, often used to simplify complex queries, enhance security by limiting data access, or isolate database operations from changes in underlying data structures. In essence, views allow users to focus on specific data subsets without altering or duplicating existing tables. They make managing and retrieving data more efficient, particularly in large databases like Oracle Database 19c, ensuring data consistency and integrity while optimizing performance.
Schema object management in an Oracle database involves creating, modifying, and deleting schema objects such as tables, views, indexes, and procedures. It's essential for organizing and maintaining data structures in the database to ensure data is stored efficiently and can be accessed quickly. Effective schema management helps in optimizing database performance, maintaining data integrity, and ensuring security. Administrators use SQL commands or tools like Oracle Database 19c SQL Workshop to handle these tasks, enabling precise control over the database environment according to organizational requirements and changes.
Advanced queries are sophisticated data retrieval and manipulation techniques used in databases to handle complex conditions and relationships between data entities. They often involve operations like multiple joins, subqueries, aggregate functions, and conditional logic to filter, sort, and present data according to specific requirements. Advanced queries are essential for performing in-depth data analysis, generating reports, and supporting decision-making processes in businesses. They allow users to efficiently extract meaningful information from large and complex datasets, optimizing performance and relevance in database management systems like Oracle Database 19c.
User access control is a security mechanism used to manage who has permission to access certain resources or systems and what they can do with those resources. It aims to protect data and resources from unauthorized access while ensuring those who need the access to perform their tasks can do so effectively. This control is crucial in environments like databases where sensitive information must be secured, yet accessible to authorized users. Examples include settings in software systems, file directories, and databases like Oracle Database 19c, where access can be finely tuned to enhance security and operational efficiency.
Managing data across different time zones involves ensuring that information reflects the correct time stamp according to local regional settings when stored or accessed from a database. This is critical for applications that operate globally, where data timing is essential for consistency and accuracy. Techniques include using Universal Time Coordinated (UTC) to store timestamps and converting them to appropriate local times when displayed to users. This method helps in maintaining the integrity of data when it is shared or used in different geographical locations. Proper management prevents confusion and errors in time-sensitive data operations.
Multiple-table joins in SQL are techniques used to retrieve data from two or more tables in a database. By creating relationships based on common columns, these joins allow for a comprehensive view of the data spread across various tables. For example, you might join a 'Customers' table and an 'Orders' table using a common 'CustomerID' to get a complete record of each customer's orders. Types of joins include INNER JOIN, which selects records with matching values in both tables, and LEFT JOIN, which includes all records from the left table and matched records from the right table.
Subqueries are a SQL feature used to nest one query within another. The inner query is executed first, and its results are used by the outer query. This is vital for complex database operations where the answer to one question depends on the results of another. They can help in comparing values, calculating summaries, or filtering data. Subqueries can be of different types, such as scalar (returning a single value), row (returning a single row), or column (returning a single column), and are essential for dynamic and efficient database management in systems like Oracle Database 19c.
The Oracle Database 19c: SQL Workshop is designed for professionals seeking to master SQL queries and database management.
Target Audience for Oracle Database 19c: SQL Workshop:
The Oracle Database 19c: SQL Workshop course equips students with fundamental SQL skills, enabling data management and manipulation within Oracle databases.
Learning Objectives and Outcomes:
