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Learn how to harness the power of Apache Spark and powerful clusters running on the Azure Databricks platform to run large data engineering workloads in the cloud.
Microsoft DP-3011 - Implementing a Data Analytics Solution with Azure Databricks
- Length 1 day
- Price NZD 995 exc GST
Course overview
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Why study this course
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What you’ll learn
After completing this course, students will be able to:
Provision an Azure Databricks workspace
Identify core workloads and personas for Azure Databricks
Describe key concepts of an Azure Databricks solution
Describe key elements of the Apache Spark architecture
Create and configure a Spark cluster
Describe use cases for Spark
Use Spark to process and analyse data stored in files
Use Spark to visualise data
Describe core features and capabilities of Delta Lake
Create and use Delta Lake tables in Azure Databricks
Create Spark catalog tables for Delta Lake data
Use Delta Lake tables for streaming data
Create and configure SQL Warehouses in Azure Databricks
Create databases and tables
Create queries and dashboards
Describe how Azure Databricks notebooks can be run in a pipeline
Create an Azure Data Factory linked service for Azure Databricks
Use a Notebook activity in a pipeline
Pass parameters to a notebook
Microsoft Azure at Lumify Work
Lumify Work is your best choice for training and certification in any of Microsoft’s leading technologies and services. We’ve been delivering effective training across all Microsoft products for over 30 years, and are proud to be Australia's and New Zealand’s first and largest Microsoft Gold Learning Solutions Partner. All Lumify Work Microsoft Azure courses follow Microsoft Official Curriculum (MOC) and are led by Microsoft Certified Trainers. Join more than 5,000 students who attend our quality Microsoft courses every year.
Who is the course for?
Data Engineer
Prerequisites
Fundamental knowledge of data analytics concepts
Terms & Conditions
The supply of this course by Lumify Work is governed by the booking terms and conditions. Please read the terms and conditions carefully before enrolling in this course, as enrolment in the course is conditional on acceptance of these terms and conditions.
