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DP-3012: Implementing a Data Analytics Solution with Azure Synapse Analytics Certification

<ul> <li>The intermediate-level Microsoft Azure course focuses on administrator&nbsp;</li> <li>and data engineer roles. It provides instructions on the SQL dedicated&nbsp;</li> <li>and serverless Spark pools.<br /> &nbsp;</li> </ul>

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DP-3012: Implementing a Data Analytics Solution with Azure Synapse Analytics Certification
DP-3012: Implementing a Data Analytics Solution with Azure Synapse Ana
  • training
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  • dp 3012 implementing data analytics solution with azure synapse certification
Expert-led Comprehensive Learnings Microsoft Certified Trainers [MCTs]
Official Microsoft Content Authorized Course Material
ILVT, Online & In-house Interactive Face-to-face Solutions
Schedule-flexible eLearning Self-paced Offerings
OverviewLearning ObjectivesWho Should AttendPrerequisiteOutline

Course Overview

MS Azure Synapse Analytics Course Overview

Microsoft Azure administrators deploy, administer, and manage
Azure solutions. On the other hand, Azure data engineers design,
implement and manage data solutions on the Azure platform.

The Implementing a Data Analytics Solution with Azure Synapse Analytics
training introduces you to various instructions on the SQL dedicated and
serverless Spark pools. In addition, it also brings instructions for data
wrangling and the ELT process using Synapse Pipelines, which is very similar
to those familiar with MS Azure Data Factory (ADF) to move data into the
Synapse dedicated pool database.

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Course Objectives

  •     To Get Introduced to MS Azure Synapse Analytics.
  •     Utilize 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

  • Microsoft Azure Administrators & Data Engineers.

Eligibility Criteria

  •     Familiarity with notebooks that use different languages and a Spark engine like Databricks, Jupyter Notebooks or                  Zeppelin notebooks.
  •     Reasonable experience with SQL, Python and Azure tools, such as Data Factory
     

Course Outline

Microsoft Azure Synapse Analytics Introduction

  • Identifying the business problems that Azure Synapse Analytics addresses.
  •  Describing core capabilities of Azure Synapse Analytics.
  •  Determining when to use Azure Synapse Analytics.

Utilizing Azure Synapse Serverless SQL Pool to Query Files in a Data Lake

  • Identifying capabilities and use cases for serverless SQL pools in Azure Synapse Analytics.
  • Querying CSV, JSON, and Parquet files using a serverless SQL pool.
  • Creating external database objects in a serverless SQL pool.

Analyzing Data with Apache Spark in Azure Synapse Analytics

  • Identifying core features/capabilities of Apache Spark.
  • Configuring a Spark pool in Azure Synapse Analytics.
  • Running code to load, analyze, and visualize data in a Spark notebook.

Using Delta Lake in Azure Synapse Analytics

  • Describing core features and capabilities of Delta Lake.
  •  Creating and using Delta Lake tables in a Synapse Analytics Spark pool.
  •   Creating Spark catalog tables for Delta Lake data.
  •   Using Delta Lake tables for streaming data.
  • Querying Delta Lake tables from a Synapse Analytics SQL pool.
     

Analyzing Data in a Relational Data Warehouse

  • Designing a schema for a relational data warehouse.
  •     Creating fact, dimension, and staging tables.
  •     Using SQL to load data into data warehouse tables.
  •     Using SQL to query relational data warehouse tables.

Building a Data Pipeline in Azure Synapse Analytics

  • Describing core concepts for Azure Synapse Analytics pipelines.
  •     Creating a pipeline in Azure Synapse Studio.
  •     Implementing a data flow activity in a pipeline.
  •     Initiating and monitoring pipeline runs

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FAQ’s

Why is Microsoft Azure Synapse Analytics often described as a new class of data analytics?

It is the enterprise analytics service that is beneficial for accelerating time to insight across data warehouses and big data systems. It combines the best SQL technologies used in enterprise data warehousing, Apache Spark technologies for big data, and Azure Data Explorer for log and time series analytics.

May I attend the training without completing my Microsoft Azure Fundamentals course?

Yes, you can. There is no mandatory prerequisite.

What's the hourly duration of DP-3012 training? 

Approx. 8 hours. 

Does DP-3012 training provide approved courseware?

Yes, you will get access to the Microsoft Official Courseware (MOC)

Is there an option to customize the DP-3012 training and choose my desired learning time slots?

You may opt for any of our highly customizable, blended and time-flexible ILVT, online, in-house, interactive face-to-face, eLearning or self-paced solutions.

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