Data Engineering
Showing 229–240 of 758 results
Execution with macro_pack
Knowing how to masquerade malicious content into legitimate files is key when performing phishing attacks. In this course, you will explore the macro_pack tool, which allows you to hide malicious payloads into Microsoft Office files.
Explore Azure Synapse Studio
Take a tour of the core application used to interact with the various components of Azure Synapse Analytics.
Explore Data by Using Azure Synapse Analytics – DP-500
Providing insight from the data should be a quick and straightforward process. This course will teach you how to explore and visualize the data in Azure Synapse Analytics directly.
Explore fundamentals of large-scale analytics
Organizations use analytics platforms to build large scale data analytics solutions that generate insights and drive success. Microsoft provides multiple technologies that you can combine to build a large scale data analytics solution.
Explore MySQL Architecture
Explore the component parts of MySQL, and learn how to find your way around Azure Database for MySQL.
Explore PostgreSQL architecture
PostgreSQL is an open-source relational database system that is available as an Azure service. In this module, you learn about the PostgreSQL architecture, and how to manage different aspects of Azure Database for PostgreSQL.
Explore query performance optimization
Read and understand various forms of execution plans. Compare estimated vs actual plans. Learn how and why plans are generated. Understand the purpose and benefits of the Query Store.
Explore SQL Server 2022 capabilities
Learn about SQL Server 2022 enhancements, including:
Exploring SQL Server 2016: Fundamentals
This Free Online Course Includes: 4-5 Hours of Learning CPD Accreditation Final Assessment
Exploring SQL Server 2016: Intermediate
This Free Online Course Includes: 3-4 Hours of Learning CPD Accreditation Final Assessment
Exploring the Apache Beam SDK for Modeling Streaming Data for Processing
Apache Beam is an open-source unified model for processing batch and streaming data in a parallel manner. Built to support Google’s Cloud Dataflow backend, Beam pipelines can now be executed on any supported distributed processing backends.
Exploring the Apache Flink API for Processing Streaming Data
Flink is a stateful, tolerant, and large scale system which works with bounded and unbounded datasets using the same underlying stream-first architecture.