Implementing a Data Analytics Solution with Azure Synapse Analytics (DP-3012)
$995.00
This is a single day Instructor Lead Course designed to give the learners instruction on the SQL dedicated and serverless Spark pools and providing instruction of data wrangling and the ELT process using Synapse Pipelines which is very similar to those familiar with Azure Data Factory (ADF) to move data into the Synapse dedicated pool database.
More Information:
- Modality: Virtual
- Provider: Microsoft
- Difficulty: Intermediate
- Duration: 1 Day
- Course Info: Download PDF
- Certificate: See Sample
Course Information
About This Course:
Implementing a Data Analytics Solution with Azure Synapse Analytics certification validates a professional's expertise in using Azure Synapse Analytics to implement and manage data analytics solutions. Azure Synapse Analytics is a limitless analytics service that brings together enterprise data warehousing and Big Data analytics. It gives industries the capability to query data on their terms, using either serverless on-demand or provisioned resources. Professionals with this certification can facilitate large-scale data exploration, warehousing, and analysis, thereby empowering organizations to make data-driven decisions quickly, scale and optimize their resources, and leverage advanced data analytics and machine learning capabilities.
Course Objectives:
- Introduction to Azure Synapse Analytics
- Use Azure Synapse serverless SQL pool to query files in a data lake
- Analyze data with Apache Spark in Azure Synapse Analytics
- Use Delta Lake in Azure Synapse Analytics
- Analyze data in a relational data warehouse
- Build a data pipeline in Azure Synapse Analytics
Audience:
The Audience should have familiarity with notebooks that use different languages and a Spark engine, such as Databricks, Jupyter Notebooks, Zeppelin notebooks and more. They should also have some experience with SQL, Python, and Azure tools, such as Data Factory.
Prerequisites:
- Fundamental knowledge of data warehouse concepts
- Basic understanding of Azure services, especially Azure Synapse Analytics
- Experience with data processing languages like SQL, Python, or Scala
- Familiarity with data integration and transformation processes
