This course introduces developers to the fundamental principles of performance tuning when using Oracle as their backend database.

Get coding quickly and effectively with Oracle PL/SQL, Oracle's database development language. This course is the first of a two part series, covering the essentials and fundamentals of Oracle PL/SQL.

In this course, we will take an in-depth look at Procedures, Functions, and Packages. These named program units are powerful programming constructs which can greatly enhance and optimize your code.

In this course, we will talk in detail about transaction management in Oracle. We will take an in-depth look at dynamic SQL and debugging options in PL/SQL, and explore in detail the SQL Developer Debugger.

Learn the fundamentals of Autonomous databases and take your DBA skills knowledge to the next level and learn to deploy and administer Autonomous databases. Explore planning, implementing, and deploying an Oracle Autonomous Database, the first and only autonomous database service in the cloud.In this module you will learn how to create applications on Autonomous Database using SQL, APEX, and Oracle Machine Learning.

In this module, you will learn how Azure Data Factory can orchestrate large scale data movement by using other Azure Data Platform and Machine Learning technologies.

Explore organizational approaches to designing privacy-aware systems and frameworks for data governance.

Learn how to effectively and efficiently join datasets in tabular format using the Python Pandas library.

In this module, you learn how to create real-time streaming data analytics pipelines and applications on the cloud by using Azure HDInsight with Apache Kafka and Apache Spark.

In this module, you will learn how to perform common data transformation and cleansing activities within Azure Data Factory without using code.

Learn how to perform data analysis using Azure Databricks. Explore various data ingestion methods and how to integrate data from sources like Azure Data Lake and Azure SQL Database. This module guides you through using collaborative notebooks to perform exploratory data analysis (EDA), so you can visualize, manipulate, and examine data to uncover patterns, anomalies, and correlations.

Apache Spark is a highly scalable distributed processing solution for big data analytics and transformation. You can leverage its power in Azure Synapse Analytics by using Spark pools.