Implementing a Data Analytics Solution with Azure Databricks (DP-3011)

Course 8685

Duration: 1 day
Language: English
Level: Intermediate

Unlock the potential of Azure Databricks with our intermediate-level course designed for data professionals, including Data Engineers and Data Scientists. Dive into the realm of Apache Spark and master the utilization of powerful clusters on the Azure Databricks platform to tackle large-scale data engineering tasks in the cloud. Whether you're optimizing data pipelines, building machine learning models, or analyzing vast datasets, this course equips you with the skills and insights needed to excel in today's data-driven world.

Implementing a Data Analytics Solution with Azure Databricks (DP-3011) Delivery Methods

In-Person
Online
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Implementing a Data Analytics Solution with Azure Databricks (DP-3011) Training Information

In this course, you will:

Gain hands-on experience in harnessing many of the capabilities of Azure Databricks for data engineering tasks.
Enhance your proficiency in Apache Spark, a leading big data processing framework, and leverage it effectively in the cloud environment.
Learn best practices for optimizing data workflows and pipelines, ensuring efficiency and scalability.
Acquire the skills to build and deploy advanced machine learning models using Azure Databricks, empowering you to extract actionable insights from your data.

Training Prerequisites

None.

Certification Information

Helps prepare for Exam DP-203: Data Engineering on Microsoft Azure

Implementing a Data Analytics Solution with Azure Databricks (DP-3011) Training Outline

Explore Azure Databricks

Get started with Azure Databricks
Identify Azure Databricks workloads
Understand key concepts

Use Apache Spark in Azure Databricks

Get to know Spark
Create a Spark cluster
Use Spark in notebooks
Use Spark to work with data files
Visualize data

Use Delta Lake in Azure Databricks

Get Started with Delta Lake
Create Delta Lake tables
Create and query catalog tables
Use Delta Lake for streaming data

Use SQL Warehouses in Azure Databricks

Get started with SQL Warehouses
Create databases and tables
Create queries and dashboards

Run Azure Databricks Notebooks with Azure Data Factory

Understand Azure Databricks notebooks and pipelines
Create a linked service for Azure Databricks
Use a Notebook activity in a pipeline
Use parameters in a notebook

Get This Course $895 GOV $620

1-Day Instructor-Led Training
Hands-On Labs
Microsoft Official Content
After-Course Instructor Coaching Included
Available for Private Team Training

#8685

Nov 19 9:00 AM - 4:30 PM EST

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Dec 18 9:00 AM - 4:30 PM EST

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Jan 20 9:00 AM - 4:30 PM EST

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Feb 20 9:00 AM - 4:30 PM EST

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Mar 18 9:00 AM - 4:30 PM EDT

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Apr 21 9:00 AM - 4:30 PM EDT

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Jul 22 9:00 AM - 4:30 PM EDT

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1-Day Instructor-Led Training
Hands-On Labs
Microsoft Official Content
After-Course Instructor Coaching Included
Available for Private Team Training

#8685

Nov 19 9:00 AM - 4:30 PM EST

AnyWare
Dec 18 9:00 AM - 4:30 PM EST

AnyWare
Jan 20 9:00 AM - 4:30 PM EST

AnyWare
Feb 20 9:00 AM - 4:30 PM EST

AnyWare
Mar 18 9:00 AM - 4:30 PM EDT

AnyWare
Apr 21 9:00 AM - 4:30 PM EDT

AnyWare
Jul 22 9:00 AM - 4:30 PM EDT

AnyWare

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#8685

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Implementing a Data Analytics Solution with Azure Databricks (DP-3011) FAQs

No prior experience is required. This course is suitable for both data engineering and data science professionals looking to enhance their skills with Azure Databricks.

Absolutely! Through hands-on exercises and projects, you'll gain practical experience in harnessing Azure Databricks for various data engineering tasks, including optimizing data pipelines and building machine learning models.

This course not only covers key concepts and functionalities of Azure Databricks but also emphasizes best practices for optimizing data workflows and pipelines, ensuring you're equipped to handle real-world data challenges efficiently and effectively.

Implementing a Data Analytics Solution with Azure Databricks (DP-3011)

Implementing a Data Analytics Solution with Azure Databricks (DP-3011) Delivery Methods

Implementing a Data Analytics Solution with Azure Databricks (DP-3011) Training Information

Implementing a Data Analytics Solution with Azure Databricks (DP-3011) Training Outline

Explore Azure Databricks

Use Apache Spark in Azure Databricks

Use Delta Lake in Azure Databricks

Use SQL Warehouses in Azure Databricks

Run Azure Databricks Notebooks with Azure Data Factory

Implementing a Data Analytics Solution with Azure Databricks (DP-3011) FAQs

What background knowledge do I need to have to enroll in this course?

Will I gain practical experience in utilizing Azure Databricks during this course?

How does this course prepare me for real-world data tasks?

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