Following along with the exercise files, this course takes you from setting up the environment through writing more advanced queries using T-SQL functions, expressions, and logic.

The Complex Event Processing is built on top of the core Flink libraries. It allows you to detect and process patterns in an infinite stream of events, or within a time window. This course will teach you to handle complex event processing for streaming data using Apache Fink.

Flink is a stateful, tolerant, and large-scale system with excellent latency and throughput characteristics. It works with bounded and unbounded datasets using the same underlying stream-first architecture, focusing on streaming or unbounded data.

Much real-world data is available in streams; from self-driving car sensors to weather monitors. Apache Spark 2 is a strong analytics engine with first-class support for streaming operations using micro-batch and continuous processing.

In this course, you will learn about the Spark based Azure Databricks platform. You will see how Spark Structured Streaming processing model works, and then use it to build end-to-end production ready streaming pipeline on Azure Databricks platform.

Dataflow represents a fundamentally different approach to Big Data processing than computing engines such as Spark. Dataflow is serverless and fully-managed, and supports running pipelines designed using Apache Beam APIs.

Learn how to use conditional formatting with your data through built-in options and by creating custom formulas.

Azure Database for PostgreSQL employs system catalogs and views to manage metadata efficiently. Understanding these can significantly enhance database performance and streamline the administration of PostgreSQL systems.

Azure Database for PostgreSQL is a Platform as a Service database service in the Microsoft cloud. It bases itself on the PostgreSQL open-source relational database and includes built-in high availability, automatic backup and restore, as well as comprehensive security features. The pay-as-you-go pricing model provides predictable performance and near-instant scaling. In this learning path, you learn the main features of PostgreSQL and how they work in Azure Database for PostgreSQL. You learn about the different Azure Database for PostgreSQL implementation options, and how to configure a server for your needs.

Couchbase includes a variety of options to define and configure and define functions for users to get the most out of them. This course covers configurable properties such as logging levels and development features such as timers.

This course will teach you how to increase the efficiency of a Data Warehouse process by scheduling ETL Jobs leveraging the SQL Server Agent.

Getting data out of one data source and into another is a key challenge for business intelligence. This course will teach you how Integration Services gets configured and deployed in the real world and prepare you for managing workflows with SSIS.