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Introduction To Azure Data Engineer +91-9989971070 www.visualpath.in
Introduction • Even the most experienced data engineer can feel overwhelmed by the range of data platform technologies in Microsoft Azure. • In diverse scenarios and industries, data engineers must solve complex data problems to provide business value through data. • By understanding the data types and capabilities of the data platform technologies, a data engineer can pick the right tool for the job. www.visualpath.in
Learning objectives In this module you will: • Contrast structured data with nonstructured data. • Explore common Azure data platform technologies and identify when to use them. • List additional technologies that support the common data platform technologies. www.visualpath.in
Explore data types • Azure provides many data platform technologies to meet the needs of common data varieties. • It's worth reminding ourselves of the two broad types of data: structured data and nonstructured data. www.visualpath.in
Structured data • In relational database systems like Microsoft SQL Server, Azure SQL Database, and Azure SQL Data Warehouse, data structure is defined at design time. Data structure is designed in the form of tables. • This means it's designed before any information is loaded into the system. The data structure includes the relational model, table structure, column width, and data types. www.visualpath.in
Nonstructured data • Examples of nonstructured data include binary, audio, and image files. Nonstructured data is stored in nonrelational systems, commonly called unstructured or NoSQL systems. In nonrelational systems, the data structure isn't defined at design time, and data is typically loaded in its raw format. The data structure is defined only when the data is read. www.visualpath.in
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