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We're here to help you find itThe "Oracle Database 19c: Data Warehousing Techniques" course is designed to give learners an in-depth understanding of the various processes involved in building, maintaining, and optimizing a data warehouse using Oracle Database 19c. This course is particularly beneficial for database professionals who are responsible for data warehouse administration and development.
Throughout the course, participants will dive into Data extraction techniques, learning about both the process and the specific methods used to retrieve data from different sources. They will then move on to Data transformation, exploring how to convert raw data into a format suitable for analysis and reporting.
The course also covers the critical aspects of Data loading, with lessons on the different techniques supported by Oracle, as well as Database sizing, storage, and security considerations, including Data partitioning. Learners will gain insights into Data refresh techniques and how to apply changes to the data warehouse efficiently.
Summary management and Refresh modes are discussed to optimize query performance through aggregation and summarization. Metadata management is another key topic, where students will understand the importance of a metadata strategy and the considerations involved.
Finally, the course concludes with data warehouse implementation considerations, ensuring that learners are well-equipped to make informed decisions during the setup and maintenance of a data warehouse.
By completing this course, learners will be able to apply data warehousing techniques effectively within the Oracle Database 19c environment, leading to improved data management, better performance, and enhanced decision-making capabilities for their organizations.
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You can request classroom training in any city on any date by Requesting More Information
To ensure that participants can fully benefit from the Oracle Database 19c: Data Warehousing Techniques course, the following prerequisites are recommended:
These prerequisites are intended to provide a foundation that will help you grasp the course material effectively. No prior experience with data warehousing is required, making the course suitable for beginners who meet the above criteria.
Oracle Database 19c: Data Warehousing Techniques course is designed for professionals seeking advanced skills in managing data warehouses.
Introduction: The Oracle Database 19c: Data Warehousing Techniques course provides comprehensive insights into data extraction, transformation, loading (ETL), and management strategies, ensuring efficient data warehouse implementation.
Learning Objectives and Outcomes:
Data extraction is the process of retrieving data from various sources, possibly in different formats, and combining it into a more accessible, usable format. This technique is essential for analyzing data sets, generating reports, or feeding data into a business intelligence system. Techniques range from simple manual copying to automated processes using software tools that query databases and extract relevant information, ensuring efficiency and accuracy. These tools also allow for the manipulation of data as required, converting it into meaningful insights for strategic decision-making or operational improvements.
Data transformation is the process of converting data from one format or structure to another. This typically occurs during data migration, data integration, or system upgrades, enabling different applications or systems to understand and use the data effectively. It's crucial in ensuring data's accuracy and usefulness across various business applications. Techniques involve activities like normalization, which standardizes data formats, or aggregation, where data is summarized from detailed to simpler summaries for analysis. Effective data transformation facilitates improved data analytics, decision-making, and operational efficiency in any organization.
Data loading is the process of transferring data from one system or storage format to another. It's commonly used in database management and analytics to ensure that the data available is current, accurate, and in the correct format for analysis or processing. This process involves extracting data from its source, transforming it to fit operational needs, and then loading it into a target database, such as Oracle Database 19c. It's critical for businesses that rely on up-to-date information for decision making and operations. Efficient data loading strategies can greatly enhance the utility and performance of a database system.
Database sizing involves calculating the total volume of data and resources a database will need to operate efficiently. This includes estimating the amount of disk space, memory, and processing power required based on the anticipated amount of data, the complexity of database operations, and user load. Effective database sizing ensures optimal performance, scalability, and cost management of database systems. It is essential for planning and budgeting, particularly when setting up systems like an Oracle Database 19c, where resources need to be allocated accurately to handle expected workloads.
Data partitioning is a technique used in databases to divide large tables into smaller, more manageable pieces, enhancing performance and organization. By segmenting data, queries and maintenance operations can run faster because there are fewer data rows to sift through in each partition, improving response times and system efficiency. This method particularly helps in large systems such as Oracle Database 19c, where managing massive volumes of data efficiently is crucial. Partitioning can be based on various criteria such as ranges of values or categories depending on the specific requirements of the database.
Data refresh techniques involve updating data in a database to ensure it remains accurate and current. This process can be performed manually or automatically, depending on the system's setup. In databases like Oracle Database 19c, data refresh techniques are crucial for maintaining the integrity and performance of the database. These techniques are particularly relevant when handling large volumes of data or when data is frequently changed. Effective data refresh strategies are essential for users relying on up-to-date data for decision-making and operational efficiency.
Summary management involves the process of synthesizing and condensing information to create a concise overview or abstract that accurately represents larger documents or datasets. It is essential in various fields, including academic research, business reporting, and data analysis, to enhance understanding and decision-making. Effective summary management helps in filtering critical insights from vast amounts of data, saving time and improving efficiency in communication and comprehension of complex information.
Refresh modes in Oracle databases determine how materialized views update with changes from their underlying base tables. Complete refresh, every row from the base table is reloaded into the view, effectively rebuilding it. In contrast, fast refresh updates the view incrementally, reflecting only the changes since the last refresh. This makes fast refresh much quicker and less resource-intensive, ideal for frequent updates in dynamic database environments. Understanding the appropriate refresh mode is essential for optimizing database performance and is often highlighted in Oracle Database 19c training or Oracle 19c online courses aimed at career certification.
Metadata management involves organizing and controlling the data that describes other data within a system. It helps ensure accuracy and accessibility of data across various databases, like in an Oracle Database 19c environment. This process supports activities such as data integration, governance, and analytics by making it easier to locate and retrieve data within large databases. Effective metadata management allows businesses to make more informed decisions based on reliable and precise data insights.
Oracle Database 19c: Data Warehousing Techniques course is designed for professionals seeking advanced skills in managing data warehouses.
Introduction: The Oracle Database 19c: Data Warehousing Techniques course provides comprehensive insights into data extraction, transformation, loading (ETL), and management strategies, ensuring efficient data warehouse implementation.
Learning Objectives and Outcomes:
