#azuredatabricks #azuredatabrickstutorial #azuredataengineer #azure #azuretutorialforbeginners
This is my first video about Azure Databricks in the Azure Databricks Playlist. In this YouTube video, I dive into the world of Azure Databricks, unlocking the potential of Apache Spark for big data processing and data science workflows. Join me as we explore the fundamental concepts and powerful features that make Azure Databricks a game-changer in the world of data analytics and machine learning.
Throughout the video, I cover a wide range of topics to give you a solid foundation in using Azure Databricks effectively. We start by understanding the core principles of Apache Spark and its distributed computing capabilities, empowering you to process massive datasets with remarkable speed and scalability.
To boost productivity, I highlight the magic commands available within Azure Databricks notebooks, revealing how they can streamline your data exploration and manipulation tasks. You'll learn powerful techniques for data transformation, aggregation, and visualization, unlocking valuable insights from your datasets.
Harnessing the power of machine learning, I demonstrate how Azure Databricks facilitates model training and deployment. Discover how to leverage Spark's distributed computing capabilities to efficiently train large-scale machine learning models, empowering you to make accurate predictions and unlock hidden patterns in your data.
Finally, I showcase the SQL editor within Azure Databricks, equipping you with the tools to execute SQL queries directly on your datasets. Learn how to leverage SQL capabilities to analyze and manipulate data efficiently, accelerating your data exploration and decision-making process.
Whether you're a data scientist, analyst, or developer, this video provides a comprehensive introduction to Azure Databricks, empowering you to leverage Apache Spark's immense power and take your data-driven projects to new heights. Join me on this exciting journey and unlock the potential of Azure Databricks for your data science and analytics workflows. Don't forget to like, share, and subscribe for more informative content on data engineering and machine learning!
TimeStamp:
0:00:00 - Intro
0:00:51 - Apache Spark
0:03:43 - ETL
0:06:16 - Machine Learning
0:07:19 - Streaming
0:08:03 - SQL Editor
0:08:51 - Git Integration
0:09:31 - Outro
– – – Book a Private One on One Meeting with me (1 Hour) – – –
[ Ссылка ]
– – – Express your encouragement by brewing up a cup of support for me– – –
[ Ссылка ]
– – – Other useful playlist: – – –
Azure Data Factory Playlist: [ Ссылка ]
Azure General Topics Playlist: [ Ссылка ]
Microsoft Fabric Playlist: [ Ссылка ]
Azure Databricks Playlist: [ Ссылка ]
Azure End to End Project Playlist: [ Ссылка ]
Databricks CICD Playlist: [ Ссылка ]
End to End Azure Data Engineering Project: [ Ссылка ]
– – – Let’s Connect: – – –
Email: mrktalkstech@gmail.com
Instagram: mrk_talkstech
– – – Tools & Equipment (Gears I use): – – –
Disclaimer: Links included in this description might be affiliate links. If you purchase a product or service with the links that I provide, I may receive a small commission. There is no additional charge to you! Thank you for supporting me so I can continue to provide you with free content each week!
DJI Mic: [ Ссылка ]
Dell XPS 13 Plus 13.4" 3.5K : [ Ссылка ]
Rode VideoMicro Vlogger Kit: [ Ссылка ]
DJI Osmos Action 3: [ Ссылка ]
DJI Mini 3 PRO: [ Ссылка ]
– – – About me: – – –
Mr. K is a passionate teacher created this channel for only one goal "TO HELP PEOPLE LEARN ABOUT THE MODERN DATA PLATFORM SOLUTIONS USING CLOUD TECHNOLOGIES"
I will be creating playlist which covers the below topics (with DEMO)
1. Azure Beginner Tutorials
2. Azure Data Factory
3. Azure Synapse Analytics
4. Azure Databricks
5. Microsoft Power BI
6. Azure Data Lake Gen2
7. Azure DevOps
8. GitHub (and several other topics)
After creating some basic foundational videos, I will be creating some of the videos with the real time scenarios / use case specific to the three common Data Fields,
1. Data Engineer
2. Data Analyst
3. Data Scientist
Can't wait to help people with my videos.
– – – Support me: – – –
Please Subscribe: [ Ссылка ]
