
Explore Oracle Fusion technical data conversion automation using ATP, covering load methodologies, data extraction from Fusion to ATP, cross-reference population, data quality checks, and automated bulk data import and migration.
Define autonomous transaction processing database (ATP) and describe its automated provisioning, auto scaling, and auto tuning. Compare ATP with DBaaS, DBCS, and on-premise databases, noting differences in hosting and management.
Create and manage ATP users via the ATP console or SQL Developer, assign roles, enable graph web access, and apply the password policy.
Connect to the ATP database from SQL Developer by creating a database connection, using cloud wallet configuration, selecting the wallet file, and verifying the connection with a select statement.
Explore the data conversion process for Oracle Fusion Cloud ERP, detailing extract, transform, and load steps, data cleansing, cross-references, validation, and loading methods for master and transactional data.
Discover Oracle Fusion data conversion methodologies for importing bulk data, including file-based data import, spreadsheet-based loading, import management, and web services, with automation of data preparation and validation.
Define the use case for migrating Jonas data from the Solar System to Oracle Fusion, detailing mapping rules and the minimum MVP values for journals.
Develop four BI reports to validate fusion data with cross-validation for ledgers, tax assets, and accounting dates. Define a data derivation report for import journal jobs using parameters.
Create the staging table to house source data for the Oracle Fusion data conversion, configure columns, and set up a trigger and sequence to populate unique IDs and timestamps.
Explore options to load data into ATP from cloud sources (OCI, AWS, GCP, Azure), including data pump imports, local file loads, and Oracle GoldenGate replication.
Load data from local csv files into a staging table using SQL Developer, set utf-8 and comma delimiter, map file columns to database fields, insert, and verify the data.
Develop a gl period status report by querying ledger data for a calendar month, defining statuses such as open and closed, and building a data model.
Invoke the external report service with Soap UI to run an ad hoc report, download the Excel output, and decode the base64 data using basic authorization.
Explore the access control list in Oracle databases, defining who can access which resources, granting and revoking privileges, and validating through views and tables with host IP restrictions.
Configure dcl and manage acls in Oracle Fusion using ATP, connect to the ATP database with admin credentials, and assign connect and resolve privileges.
Extract fusion bi report outputs via plsql, decode base64 blobs, and insert data into an ATP database table using an anonymous block and report service calls.
Design and implement reusable double cycle packages to extract data from Fusion via BI reports into the Oracle database, using a common report service, base64 decoding, and report-specific payload parsing.
Develop a common utility package with a public base64 decode function and a private convert-to-blob function, processing data in chunks and returning blocks or blobs.
Develop the web service util package for oracle fusion, exposing procedures to invoke external report services and return base64 report bytes decoded to xml content.
Develop the synchronization data flow from Fusion to the Oracle database by creating a public procedure that fetches a report, transforms records, and inserts them into the target table.
Test the three packages—website, digital, and sync—for Oracle Fusion technical-data conversion automation using ATP by invoking an anonymous blog and verifying replication with the Fusion database.
Explore IBM's program, job, and scheduler, detailing how to create programs with arguments and schedules and build jobs. Learn to display, drop, enable, and run jobs, synchronously or asynchronously.
Automate data synchronization from Fusion to the Oracle database by creating a DBUS Scheduler program and a job with a predefined interval, enabling ongoing data transfer.
Develop a business intelligence report that dynamically retrieves the gl ledger id and ledger name via a data access set, removing hard-coded values and enabling dynamic id replacement.
Demonstrates invoking the GL dash ledger report from SoapUI and downloading the CSV output. Decodes base64 report bytes and passes parameters from the data model with basic credentials.
Prepare the soap message, invoke the report service, decode the base64 report to a blob, and insert it into an Oracle database table using an anonymous PL/SQL block.
Configure the FPP delivery channel for EPEAT to post reports to a certified directory using private key authentication, uploading the key and applying the connection.
Learn how to schedule a CIA report in Fusion and deliver the output to a remote server directory, configure destinations, formats, compression, and notifications.
Schedule a report using the ScheduleReportWSSService SOAP service in soapUI, configure the delivery channel and server details, and manage the job, history, and the report output posted.
Burst large fusion report outputs to an FTP server using the schedule report service via plsql; this asynchronous process requires a configured delivery channel and proper permissions.
What's this course about?
Learn Data Conversion/ Migration Process for an Oracle Fusion ERP Cloud Implementation Project and dive deeper into it. Understand the Data Conversion/ Migration Process in a Fusion Implementation Project, Automate the Data Conversion/ Migration Process and Finally build a Data Conversion/ Migration Automation Framework and onboard all data objects into the Framework. ATP is chosen as the platform but it can be any Database – be it Oracle DBCS/ DBaaS or On-Premise Database, MySQL, SQL Server etc.
What do you expect end of this course?
By the end of the course, you will be equipped with all the knowledge required for Data Conversion/ Migration Process and developing automation framework using ATP or any other Database be it DBaaS/ DBCS or On-Premise Database ! And you will be ready for your next assignment! :-)
A detailed list with the course content can be found below.
Who's teaching you in this course?
My name is Raja Dutta and I am Fusion Cloud, PaaS and Fusion Middleware Consultant and I am passionate about helping more people to learn Fusion Cloud and PaaS Technologies. After receiving advices and suggestions, we are here at Udemy with our next course of Oracle Fusion Data Conversion/ Migration Automation using Oracle ATP, DBCS/DBaaS, On-Premise Database and we had lot of fun in preparing this course! Hope you too will have fun learning this course!
It's our goal to get you started with Data Conversion/ Migration Process in an Oracle Fusion ERP Cloud Implementation as soon as possible and ensure your success. I want everyone to get benefited out of this course and to us, helping others is the best way of learning. So Let's Learn together!
Is this course for you?
This course is for you if ...
.. you want to understand the Data Conversion/ Migration Process in Oracle Fusion ERP Cloud Implementation
.. you want to automate the Data Conversion/ Migration Process in the era of automation
.. you want to build an automation framework for Data Conversion/ Migration for all Data Objects
.. you want to pursue your career as Data Architect and Data Owners
.. you are an ERP Technical Consultants, Database Developers, Data Architects & Data Owners, Data Conversion Developers
What's inside the course?
Data Conversion/ Migration Process
Why ATP? ATP vs. DBaaS/ DBCS vs. On-Premise Database
Data Conversion/ Migration Process Automation using ATP Database
Build Data Conversion/ Migration Automation Framework
Import Bulk Data through FBDI using PLSQL
Import Bulk Data through Import Management using PLSQL
Automate Data Preparation for ADFdi Template using SQL & PLSQL
Invoke Fusion BI Reports using PLSQL
Schedule Fusion BI Reports using PLSQL
Invoke SOAP Services and REST APIs using PLSQL