Supporting high availability and disaster recovery are without a doubt some of the most fundamental skill-sets necessary to being a successful senior level DBA. Whether you work in a multi-million dollar enterprise or a “strapped for cash” start-up, this course will compare and contrast the many features, techniques, and concepts available in SQL Server to meet your individual needs.

This course is a practical approach to leveraging SQL Server to meet the needs of your industry compliance, audit, security, and encryption standards.

Learn to leverage predictive models and methods directly in SQL Server. This course will demonstrate the capabilities of SQL Server related to predictive analytics, including best practices and optimizations.

Master the skills for data preparation and modeling in Power BI.

Learn advanced techniques for preparing and modeling data within Power BI.

This course helps learners create a study plan for the PDE (Professional Data Engineer) certification exam.

This course will teach you the aspects to understand MLOps journey, end to end data quality checks and establish the mechanism of data cataloging, principles around metadata management and data governance.

PostgreSQL supports stored procedures and functions to make SQL queries reusable. In this module, you learn how to create and run stored procedures and functions.

This course will teach you the fundamentals of data processing with AWS. This topic is the most important domain of the AWS Certified Data Analytics specialty certification (24%, according to the official DAS-C01 Exam Guide.)

Apache Flink is built on the concept of stream-first architecture where the stream is the source of truth.

Structured streaming is the scalable and fault-tolerant stream processing engine in Apache Spark 2 which can be used to process high-velocity streams.

This course will teach you how to use Spark abstractions for streaming data and perform transformations on streaming data using the Spark structured streaming APIs on Azure Databricks.