Azure Databricks Course Content

All the Azure Databricks modules, labs, projects, and assignments have been carefully designed to deliver the right content to the learners and transform them into skilled Databricks professionals. Below listed are the list of concepts covered during the Azure Databricks Course.

Topics:

  • What is Cloud Technology
  • Need for Cloud Technology
  • Types of Cloud Services

Topics:

  • Introduction to Bigdata
  • Core Elements of Big Data
  • Types of Big Data

Topics:

  • Azure Cloud Fundamentals
  • Azure Data lake Storage 1 & 2
  • Azure Blob Storage
  • Types of Blobs
  • Access Tiers

Topics:

Topics:

  • Clusters Overview
  • Cluster Types
  • Cluster Creation & Configuration
  • Databricks Pools
  • Clusters Modes
  • Auto Scaling
  • Multi User Clusters

Topics:

  • What is Cloud Technology
  • Need for Cloud Technology
  • Types of Cloud Services

Topics:

  • Introduction to Bigdata
  • Core Elements of Big Data
  • Types of Big Data

Topics:

  • Azure Cloud Fundamentals
  • Azure Data lake Storage 1 & 2
  • Azure Blob Storage
  • Types of Blobs
  • Access Tiers

Topics:

Topics:

  • Clusters Overview
  • Cluster Types
  • Cluster Creation & Configuration
  • Databricks Pools
  • Clusters Modes
  • Auto Scaling
  • Multi User Clusters

Topics:

  • Introduction to Azure Notebooks
  • Notebook Creation
  • Exporting & Importing Notebooks
  • Notebook Permissions
  • Scheduling
  • Cloning Notebook
  • Renaming Notebook
  • Libraries
  • Databricks Utilities
  • Magic commands

Topics:

  • The process to Mount Blob Storage To DBFS
  • Account Access Key
  • Writing Data to Azure Blob Storage

Following Data Lake Azure Storage Gen1 

Topics:

  • Mount ADLS Gen1 To DBFS
  • Access ADLS Gen1
  • Reading Files from Gen1
  • Writing Files to Gen1

Topics:

  • Integration with Azure SQL Database
  • Integration with Azure Synapse
  • Integration with Snowflake
  • Integration with CosmosDB SQL API

Topics:

  • Databricks - CSV File Formats Handling
  • Databricks - Excel Files
  • Databricks - Parquet files
  • Databricks-XML Files
  • Databricks - Complex Json Files
  • Databricks - Writing ORC and Avro Files

Topics:

  • Collect() Method
  • InferSchema
  • Built-in-Spark functions
  • Pandas and Koalas
  • Spark Partitioning Methods
  • Bucketing in Spark
  • Spark SQL optimizations

Topics:

  • Reading data
  • Data Filtering
  • Adding or replacing columns
  • Limiting output rows
  • Writing data to a sink
  • Dropping duplicate rows

Topics:

  • Creating DataFrames
  • Interact with DataFrames
  • DataFrame Transformations
  • DataFrame Actions

Topics:

  • Delta Lake Overview
  • Delta Lake Architecture
  • Delta Catching
  • Delta Lake audit log Table

Topics:

  • Left outer Join
  • Right outer Join
  • Inner Join
  • Full outer Join
  • Left anti Join
  • Left semi Join

Topics:

  • PySpark: Data Merging
  • User Defined Functions(UDF)
  • Slowly Changing Dimension

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LIVE SESSIONS


  • Real-time Trainers
  • Live interactive Sessions
  • Cloud Labs

CORPORATE TRAINING


  • Customized Training Solutions
  • Blended Delivery Model
  • Project Implementation Support

SELF-PACED LEARNING


  • High-Quality Videos
  • Access to Materials
  • Permanent Access

Databricks Training Objectives

Once you are done with the Azure Databricks certification course you will be able to:

  • Get clear approach to using Azure Databricks
  • Understand how to integrate Databricks with different Azure components
  • Transform data using Spark SQL in Azure Databricks
  • Learn to build Data Factory Pipelines to work with Notebooks
  • Gain Data Engineering skills such as Delta Lake, Azure Data Lake Gen2, Spark Core, Azure Data Factory (ADF), etc. 
  • Able to connect, ingest, and transform data using PySpark in Databricks.
  • Understand the architecture of the Data lake and Implement solutions using it.
  • Create, schedule, and monitor triggers in ADF
  • Explore the process to connect Azure Databricks with Power BI.

The Core agenda of this Databricks training is to infuse the learners with the right data engineering skills and help them become skilled professionals. You will gain all the skills required to ingest data from multiple sources, clean, store, share, analyze and model massive volumes of data sets.

This program covers all the essential areas such as cloud basics, Azure Cloud, Databricks, Notebooks, PySpark, Databricks clusters, Multiple Configurations, Azure Blob, Data Lake, Data modeling, data frames, structured streaming, and more.

To join our Microsoft Azure Databricks training you need to have basic knowledge of Python and SQL. Having knowledge of the cloud would help you.

This Azure Databricks Certification is for below candidates:

  • Data Engineering professionals
  • IT developers
  • Data Warehouse Developers
  • Data Architects
  • Data scientists

Databricks has acquired huge popularity by contributing its share to the data engineering segment. There is a good market demand for candidates who are skilled in Azure Databricks. Our Microsoft Azure Databricks training will help you acquire industry-ready skills.

Azure Databricks Certification

Yes, once you finish your Azure Databricks training course you will receive an electronic course completion certificate from Techsolidiy. You can share this certificate on social media platforms to showcase your data engineering skills to employers.

techsolidity-certification

Azure Databricks Projects

With an aim to add value to our learners' time and money and to impart practical Data Engineering & transformation skills we have designed this course around two live Databricks projects. Following are the projects that you are going to work on during this training.

Azure Databricks Certification Course Reviews

Azure Databricks FAQ's

Yes, Techsolidty offers you two types of Discounts: one is group discount and the other is referral discount.
Yes, In order to provide you the financial flexibility, we provide you the chance to pay the course fee in two installments.
Due to any reasons, you would like to cancel your registration after paying the fee, you should intimate the same to us within the first two classes. The refund amount will be processed within 30 days from the requested date.
To meet the customer expectations we provide multiple types of training which include, Live instructor-led training, Self-paced training, blended training, classroom training, corporate training, etc.
Yes, at Techsolidity all the training courses consist of a minimum of two projects to offer the candidates real-time work understanding!