Maintaining query performance during database upgrades is a requirement for all businesses. This course will teach you base skills for query tuning and how to utilize SQL Server Query Tuning Assistant to ensure a smooth migration every time.

SQL Server transactions are fundamental to understanding how SQL queries maintain consistency and integrity in a database. This course will teach you the fundamentals of how to interact with SQL Server transactions.

The Spark Streaming module lets you to work with large scale streaming data using familiar batch processing abstractions. This course starts with how standard transformations and operations are performed on streams, and moves to more advanced topics.

This course will teach you how the Data Lakehouse architecture brings you the best of both Data Lakes and Data Warehouses allowing you to meet your data needs for big data processing, SQL analytics, and machine learning in a single platform.

This course will teach you the basics of SQL Server architecture, installation, tools, and configuration in order to help you understand SQL Server administration.

This course introduces the Google Cloud big data and machine learning products and services that support the data-to-AI lifecycle.

This course introduces participants to the big data capabilities of Google Cloud. Through a combination of presentations, demos, and hands-on labs, participants get an overview of Google Cloud and a detailed view of the data processing and machine learning capabilities. This course showcases the ease, flexibility, and power of big data solutions on Google Cloud.

This final course in the Google Cloud Computing Foundations Professional Certificate reviews managed big data services, machine learning and its value, and how to demonstrate your skill set in Google Cloud.

This course is intended for developers who are responsible for: Querying datasets, visualizing query results, and creating reports. Specific job roles include: Data Engineer, Data Analyst, Database Administrators, Big Data Architects.

Learn the basics of Hadoop, the powerful open-source framework for storing and processing large datasets. Understand its architecture and core components.

This course will teach you how to transform and aggregate batch data using Apache Spark on the Azure Databricks platform using selection, filter, and aggregation queries, built-in and user-defined functions, and perform windowing and join operations on batch data.

This course will teach you how to handle different scenarios that are commonly encountered when using a streaming platform inside your organization.