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We're here to help you find itUnlock the potential of the Oracle Cloud Data Management Foundations course at Koenig Solutions. Dive deep into essential topics like Data Management Introduction, Autonomous Database (ADB), and Exadata & Database Cloud Service (DBCS). Learn about MySQL & NoSQL, Converged Database, and ensure Resiliency in your systems. Gain hands-on skills in Developing on Oracle Database and leverage Data Lake, Data Warehouse & Machine Learning. By the end of the course, you’ll master Upgrades & Migrations. Equip yourself with the knowledge to manage and optimize data in Oracle Cloud, setting you up for real-world success and career advancement.
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♱ Excluding VAT/GST
Classroom Training price is on request
You can request classroom training in any city on any date by Requesting More Information
Minimum Required Prerequisites for Oracle Cloud Data Management Foundations Course
To successfully undertake the Oracle Cloud Data Management Foundations course, the following minimum prerequisites are recommended to ensure you get the most out of the training:
These foundational skills will help you effectively engage with the course material and achieve your learning objectives.
Oracle Cloud Data Management Foundations is a comprehensive course designed for IT professionals to master Oracle's cloud database solutions, from Autonomous Database to Data Lake and Machine Learning.
Oracle Cloud Data Management Foundations - Learning Objectives and Outcomes
The Oracle Cloud Data Management Foundations course provides a comprehensive understanding of data management principles, focusing on Oracle's cloud-based solutions. Students will gain hands-on experience with Autonomous Database, Exadata, MySQL, and other key technologies.
Learning Objectives and Outcomes:
Understand Data Management Principles:
Autonomous Database (ADB):
Exadata & Database Cloud Service (DBCS):
MySQL & NoSQL:
Converged Database:
Resiliency:
Developing on Oracle Database:
MySQL is a popular relational database management system that uses structured query language (SQL) for accessing and managing the data held in a database. It is widely used for web databases and excels in storing and retrieving clear defined data relationships in an efficient manner. NoSQL databases, on the other hand, cater to large sets of distributed data and are designed for high-performance, scalability, and flexibility. They do not use SQL and their data model can handle unstructured and varied data types, making them suitable for big data and real-time web apps.
Data management is the process of collecting, storing, organizing, and maintaining the data created and collected by an organization. Effective data management is vital as it enables individuals and organizations to make informed decisions and optimize operations. It involves various practices such as data governance, database management, data warehousing, and data analytics. Tools like Oracle DBA certification, Oracle training, and Oracle certification through Oracle Academy, improve skills in managing databases crucially, enhancing the capability to handle data efficiently and securely. These Oracle courses offer structured learning paths for mastering data management systems.
An Autonomous Database (ADB) is a cloud-based technology engineered by Oracle to automate many of the routine database management tasks. This innovation reduces the need for manual oversight by database administrators (DBAs), allowing for higher efficiency and reliability in data processing and storage. ADB supports Oracle DBA certification, offering professionals advanced training and Oracle certification opportunities. By simplifying operations such as patching, tuning, and backups, ADB enables organizations to focus on more strategic business activities. It's particularly suitable for those looking to enhance their skills through Oracle training or Oracle Academy certification courses.
Exadata is an Oracle database system that integrates hardware and software to optimize performance, availability, and scalability, primarily enhancing large-scale database operations. Alternatively, the Database Cloud Service (DBCS) allows users to manage Oracle databases in a cloud environment, offering tools for easy deployment, maintenance, and scaling. Both systems support Oracle DBA certification advancement through specific Oracle training and courses, improving database management skills in line with Oracle academy certification standards. Each path provides practical experience and official Oracle certification, vital for professionals seeking to elevate their technical capabilities in database administration.
A Converged Database is a modern technological advancement that integrates multiple types of data models and workloads into a single, comprehensive database system. This approach optimizes the management of data and enhances the efficiency of database administration, reducing the complexity and cost compared to managing separate databases. Ideal for businesses seeking streamlined operations, it supports various data types like relational, JSON, XML, and more, within one platform. This integration allows for easier scaling, development, and deployment across diverse applications, significantly simplifying the Oracle DBA certification process and enhancing skills gained through Oracle training and Oracle courses.
Resiliency in technology refers to the ability of a system or network to recover quickly and continue operating even when there has been a hardware failure, power outage, or other disruptions. A resilient system is robust, often incorporating redundant components that kick in to maintain service continuity without loss of data or significant downtime. Implementing resiliency involves designing strategies that address potential failures at multiple levels, including software, hardware, and network operations. Effective resiliency plans ensure a business can maintain critical operations under a variety of adverse conditions, thereby safeguarding data integrity and operational uptime.
Developing on Oracle Database involves using software tools to create, manage, and optimize data storage solutions. It entails understanding SQL programming, database schema design, and data retrieval techniques. Professionals often enhance their skills and credibility with Oracle training or by pursuing an Oracle DBA certification. The Oracle Academy certification is targeted at further deepening expertise, while an Oracle course provides practical and theoretical knowledge necessary for effective database management and development. These certifications help in mastering the functionalities of the Oracle Database, making it easier to deploy, upgrade, and maintain data solutions efficiently.
A Data Lake is a large storage repository that holds a vast amount of raw data in its native format until it is needed. Unlike a traditional database that stores data in hierarchies, a Data Lake uses a flat architecture to store data. Each element in a Data Lake is assigned a unique identifier and tagged with a set of extended metadata tags. When a business query arises, the Data Lake can be queried for relevant data, and that data can then be analyzed to help the business make informed decisions.
Machine learning is a branch of artificial intelligence that allows computers to learn and make decisions without being explicitly programmed. It involves using algorithms and statistical models to analyze and draw insights from patterns in data. The goal is for machines to improve their performance on tasks through experience. Machine learning is used in a variety of applications, such as recommending products, recognizing speech, and driving autonomous vehicles. Its effectiveness increases as it is fed more data, making it a powerful tool for solving complex problems across numerous industries.
A data warehouse is a large storage system designed to help businesses make better decisions by consolidating different data sources into a single platform. This allows for easier analysis and reporting of data, enabling companies to gain deeper insights into performance, trends, and forecasts. For professionals seeking advanced capabilities in managing such systems, various Oracle courses and Oracle DBA certification can be invaluable. These Oracle certifications can enhance understanding of data warehousing techniques and improve the analytical power of a business through structured Oracle training. Oracle Academy certification also supports deeper learning into managing complex data environments.
Upgrades and migrations involve updating software or transferring data to newer systems or platforms to enhance performance and add functionalities. For Oracle database professionals, this means moving databases to newer Oracle versions or different environments. An Oracle DBA certification can validate one's expertise in managing such complex processes effectively. Oracle training and courses provide the necessary skills and knowledge for successful upgrades and migrations, ensuring minimized downtime and integrity of the data during the transition. Pursuing an Oracle certification or enrolling in the Oracle Academy could tremendously benefit professionals overseeing these critical tasks.
Oracle Cloud Data Management Foundations is a comprehensive course designed for IT professionals to master Oracle's cloud database solutions, from Autonomous Database to Data Lake and Machine Learning.
Oracle Cloud Data Management Foundations - Learning Objectives and Outcomes
The Oracle Cloud Data Management Foundations course provides a comprehensive understanding of data management principles, focusing on Oracle's cloud-based solutions. Students will gain hands-on experience with Autonomous Database, Exadata, MySQL, and other key technologies.
Learning Objectives and Outcomes:
Understand Data Management Principles:
Autonomous Database (ADB):
Exadata & Database Cloud Service (DBCS):
MySQL & NoSQL:
Converged Database:
Resiliency:
Developing on Oracle Database:
