Length
1 day
Version
A

Overview

Azure Databricks is a cloud-scale platform for data analytics and machine learning.

In this one-day course, you’ll learn how to use Azure Databricks to explore, prepare, and model data; and integrate Databricks machine learning processes with Azure Machine Learning.

Please note: Microsoft has retired Azure training from the Software Assurance Training Voucher (SATV) catalogue. From 1st February 2020 we are no longer able to accept SATVs for this course.

Key Topics

Detailed Info
  • Introduction to Azure Databricks
  • Managing Experiments and Models
  • Training and Evaluating Machine Learning Models
  • Integrating Azure Databricks and Azure Machine Learning
Skills Gained
Key Topics
Target Audience
Prerequisites

Skills Gained

Module 1: Introduction to Azure Databricks
In this module, you will learn how to provision an Azure Databricks workspace and cluster, and use them to work with data.

Lessons

  • Getting Started with Azure Databricks
  • Working with Data in Azure Databricks

Lab : Getting Started with Azure Databricks
Lab : Working with Data in Azure Databricks

Module 2: Training and Evaluating Machine Learning Models
In this module, you will learn how to use Azure Databricks to prepare data for modeling, and train and validate a machine learning model.

Lessons

  • Preparing Data for Machine Learning
  • Training a Machine Learning Model

Lab : Training a Machine Learning Model
Lab : Preparing Data for Machine Learning

Module 3: Managing Experiments and Models
In this module, you will learn how to use MLflow to track experiments running in Azure Databricks, and how to manage machine learning models.

Lessons

  • Using MLflow to Track Experiments
  • Managing Models

Lab : Using MLflow to Track Experiments
Lab : Managing Models

Module 4: Integrating Azure Databricks and Azure Machine Learning
In this module, you will learn how to integrate Azure Databricks with Azure Machine Learning

Lessons

  • Tracking Experiments with Azure Machine Learning
  • Deploying Models

Lab : Deploying Models in Azure Machine Learning
Lab : Running Experiments in Azure Machine Learning

Key Topics

Module 1: Getting Started with Transact-SQL
In this module you will learn about the basics of the Transact-SQL (T-SQL) language, as well as general properties and terminology of relational databases. This module will also introduce the basic SELECT statement for retrieving data from a table.

Lessons

  • Introduction to Transact-SQL
  • Using the SELECT statement

Lab : Get started with SQL Server query tools and writing queries in T-SQL

Module 2: Sorting and Filtering Query Results
In the module you will learn how to control what data is returned, the order in which it is returned. You will use the ORDER BY clause, with and without paging. You will learn about various kinds of filters that can be used in the WHERE clause to control which data rows are returned. You will also learn how to manage the results by removing duplicates with DISTINCT.

Lessons

  • Sorting query results
  • Filtering the data

Lab : Sort and filter data returned by SELECT queries

Module 3: Using Joins and Subqueries
In this module, you will explore T-SQL queries which access data from multiple tables with various kinds of JOIN operations and simple subqueries.

Lessons

  • Using JOIN operations
  • Using subqueries

Lab : Write queries with JOIN operations
Lab : Write SELECT statements using subqueries

Module 4: Using Built-in Functions
In the module you will explore the use of built-in functions for returning computed or special values in the SELECT list or in the WHERE clause. Functions include math functions, string functions and system functions. There are other types of functions that will be mentioned, but not discussed in detail. You will also learn how to combine rows of data into a single group, providing summary information for the group such as SUM, MIN or MAX.

Lessons

  • Getting started with scalar functions
  • Grouping aggregated results

Lab : Built-in functions

Module 5: Modifying Data
In this module, you will learn the T-SQL statements for modifying table data including UPDATE, DELETE and MERGE as well as various options for INSERT including creating a new table with data from an existing table. You will also look at how to have the system automatically supply values for columns as the data is inserted.

Lessons

  • Inserting data into tables
  • Modifying and deleting data

Lab : Modify data

Target Audience

This course is designed for data scientists with experience of Pythion who need to learn how to apply their data science and machine learning skills on Azure Databricks.

We can also deliver and customise this training course for larger groups – saving your organisation time, money and resources. For more information, please call us at +632 8244 2098 or email [email protected]

 

 

Prerequisites

Before attending this course, you should have experience of using Python to work with data, and some knowledge of machine learning concepts. Before attending this course, complete the following learning path on Microsoft Learn:

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The supply of this course by DDLS 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.

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Virtual Classroom
November 15 2021 - November 15 2021

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