DP-3012 – Implementing a Data Analytics Solution with Azure Synapse Analytics

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  • Duration: 10 weeks
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1. Introduction to Azure Synapse Analytics

Learn about the features and capabilities of Azure Synapse Analytics – a cloud-based platform for big data processing and analysis.

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2. Use Azure Synapse serverless SQL pool to query files in a data lake

With Azure Synapse serverless SQL pool, you can leverage your SQL skills to explore and analyze data in files, without the need to load the data into a relational database.

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3. Analyze data with Apache Spark in Azure Synapse Analytics

Apache Spark is a core technology for large-scale data analytics. Learn how to use Spark in Azure Synapse Analytics to analyze and visualize data in a data lake.

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4. Use Delta Lake in Azure Synapse Analytics

Delta Lake is an open source relational storage area for Spark that you can use to implement a data lakehouse architecture in Azure Synapse Analytics.

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5. Analyze data in a relational data warehouse

Relational data warehouses are a core element of most enterprise Business Intelligence (BI) solutions, and are used as the basis for data models, reports, and analysis.

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6. Build a data pipeline in Azure Synapse Analytics

Pipelines are the lifeblood of a data analytics solution. Learn how to use Azure Synapse Analytics pipelines to build integrated data solutions that extract, transform, and load data across diverse systems.

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