
Explore compartments in Oracle Cloud Infrastructure to isolate resources, move resources between compartments, and enforce single-compartment access for databases, virtual machines, and the virtual cloud network.
Learn to create a web-based Oracle Cloud Data Integrator connection, upload the wallet file, test the connection, and enable cross-database data extraction and loading between OLTP and data warehousing systems.
Validate data loads from the DB2 Oracle database to the Oracle target using Web ODI, verifying the products table in user three and understanding job creation, execution, and incremental loads.
Demonstrates data transformation with Web ODI by extracting, filtering movie sales by quarter, cleansing data, and loading results into a target table via a drag-and-drop data flow.
Review the data flow post transformation by validating loaded results, verifying target tables, and running SQL checks for April, May, and June filters.
Oracle Cloud Infrastructure (OCI) is a set of complementary cloud services that enable you to build and run a range of applications and services in a highly available hosted environment.
OCI provides Oracle Autonomous Database and associated DWH like EL-T & analysis tools on single platform, so that any one can build a prototype & then migrate it to OCI for commercial purpose too
From a learning perspective too, it become a effective single platform on which one can learn all about
Provision of Oracle Autonomous database:
Accessing database through Cloud console, Client SQL developer, Oracle Apex
ELT process through OCI-Data transform : Web Oracle Data integrator
Data Analysis
Data insights.
Following are the topics of coverage in this course:
•Getting Access to Oracle Cloud Infrastructure.
•What is a compartment in OCI & provisioning it.
•What is Autonomous Oracle DB and Provisioning the same.
•Access Autonomous Oracle DB on OCI
•Cloud Console.
•Client SQL developer.
•Oracle APEX.
•Data loading into Oracle Autonomous DB
•As local file
•Oracle cloud bucket.
•Overview about Datawarehouse and the extract, load & transform.
•Data loading using Data transform process
•Creating DB Connection & testing
•Initiating Data load from Source to Target.
• Data transformation using Web ODI & validation
• Dependency building between Dataflow – using workflow along with Jobs & schedule
•Dimensional Modelling
•Data analysis in OCI
•Data Insight in OCI
Happy Learning!