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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 utilisation of powerful clusters on the Azure Databricks platform to tackle large-scale data engineering tasks in the cloud. Whether you're optimising data pipelines, building machine learning models, or analysing 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

  • Upskill your whole team by bringing Private Team Training to your facility.

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 optimising 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

  • Get started with Azure Databricks
  • Identify Azure Databricks workloads
  • Understand key concepts
  • Get to know Spark
  • Create a Spark cluster
  • Use Spark in notebooks
  • Use Spark to work with data files
  • Visualise data
  • Get Started with Delta Lake
  • Create Delta Lake tables
  • Create and query catalog tables
  • Use Delta Lake for streaming data
  • Get started with SQL Warehouses
  • Create databases and tables
  • Create queries and dashboards
  • 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 £795 For Team Prices Call: 44 (0) 207 874 5000

  • 1-Day Instructor-Led Training

  • Hands-On Labs

  • Microsoft Official Content

  • After-Course Instructor Coaching Included

  • Available for Private Team Training

Get the Advantage £2,995
  • Take this course and gain unlimited access to more than 300 virtual instructor-led courses
  • Future-proof your career with more than 100 sought-after certifications in the market
  • Build real skills through hands-on learning in more than 180 virtual labs
  • Grow your skills and capabilities with more than one course at a time and save
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  • Bring this or any training to your organisation

  • Full-scale programme development

  • Delivered when, where, and how you want it

  • Blended learning models

  • Tailored content

  • Expert team coaching

Get the Advantage £2,995
  • Take this course and gain unlimited access to more than 300 virtual instructor-led courses
  • Future-proof your career with more than 100 sought-after certifications in the market
  • Build real skills through hands-on learning in more than 180 virtual labs
  • Grow your skills and capabilities with more than one course at a time and save
Thank you for choosing subscriptions!
#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 optimising data pipelines and building machine learning models.

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

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