Implementing a Data Analytics Solution with Azure Synapse Analytics (DP-3012)

 

Course Overview

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.

Course Content

  • 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

Who should attend

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.

Prices & Delivery methods

Online Training

Duration
1 day

Price
  • Online Training: CAD 675
  • Online Training: US $ 675
Classroom Training

Duration
1 day

Price
  • Canada: CAD 675

Click on town name or "Online Training" to book Schedule

This is an Instructor-Led Classroom course
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.
This is a FLEX course, which is delivered both virtually and in the classroom.

United States

Online Training 09:00 Pacific Standard Time (PST) Enroll
Online Training 09:00 Central Daylight Time (CDT) Enroll
Online Training 09:00 Eastern Daylight Time (EDT) Enroll
Online Training 09:00 Central Daylight Time (CDT) Enroll
Online Training 09:00 Pacific Standard Time (PST) Enroll

Canada

Online Training 09:00 Central Daylight Time (CDT) Enroll
Online Training 09:00 Eastern Daylight Time (EDT) Enroll
Online Training 09:00 Central Daylight Time (CDT) Enroll
Online Training 09:00 Pacific Standard Time (PST) Enroll