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Microsoft Fabric - Apache Spark and Notebooks

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Randy Minder

4:43:14

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  • 1. Introduction.mp4
    02:59
  • 2. Important! You May Not Need to Purchase This Course!.mp4
    01:49
  • 1. What are they.mp4
    09:35
  • 2. A Quick Tour - Part 1.mp4
    14:06
  • 3.1 Player Batting.zip
  • 3. A Quick Tour - Part 2.mp4
    17:32
  • 1. Before Getting Started.mp4
    03:27
  • 2. Introduction to Apache Spark.mp4
    08:54
  • 3. Spark Libraries.mp4
    03:46
  • 4. Dataframe Basics - Part 1.mp4
    09:47
  • 5.1 OnlineSales.zip
  • 5. Dataframe Basics - Part 2.mp4
    19:20
  • 6. Dataframe Basics - Part 3.mp4
    10:39
  • 7. Common Operations with Dataframes.mp4
    15:16
  • 8.1 Customers.csv
  • 8. Filtering Data.mp4
    22:21
  • 9. Aggregating Data.mp4
    15:20
  • 10. Joining Dataframes.mp4
    08:33
  • 11. Working with Dates.mp4
    11:38
  • 12. SQL Statements and Spark.mp4
    08:56
  • 13. Microsoft Fabric 1.1. Spark Runtime.mp4
    05:54
  • 14. Spark Configuration.mp4
    10:43
  • 15. Spark Autotuning.mp4
    04:25
  • 1. Data Wrangler - Part 1.mp4
    07:54
  • 2.1 Notebook Code.txt
  • 2. Data Wrangler - Part 2.mp4
    10:59
  • 3. Data Wrangler - Part 3.mp4
    09:55
  • 1. Exercise #1.mp4
    05:11
  • 2.1 Contoso.zip
  • 2. Exercise #2.mp4
    16:59
  • 3. Question #1.mp4
    00:33
  • 4. Question #2.mp4
    00:38
  • 5. Exercise #3.mp4
    10:20
  • 6. Exercise #4.mp4
    06:33
  • 7. Question #3 and #4.mp4
    00:39
  • 8. Exercise #5.mp4
    08:33
  • Description


    Learn the Microsoft Fabric Spark environment, notebooks, dataframes, filtering, aggregating, joining dataframes and more

    What You'll Learn?


    • Apache Spark and Notebook Integration into Microsoft Fabric
    • Overview of the Microsoft Fabric Notebooks Environment
    • Dataframe Basics
    • Common Operations with Dataframes
    • Filtering data using Dataframes
    • Aggregating data using Dataframes
    • Joining Dataframes
    • Spark Libraries
    • Working with Dates
    • SQL Statements and Spark
    • Spark Configuration and Tuning
    • Exercises and Questions for Practice

    Who is this for?


  • Anyone wanting to learn how Apache Spark and Notebooks are integrated into Microsoft Fabric
  • What You Need to Know?


  • Some working experience with Microsoft Fabric and Spark would be useful but not absolutely necessary
  • More details


    Description

    This course takes you into the Microsoft Fabric experience of Apache Spark and Notebooks, where the power of distributed computing meets the elegance and fun of interactive coding in Python, R, Scala or SQL.

    In this comprehensive course, you will be introduced to Spark's pyspark library, empowering you to tackle common data challenges with remarkable ease. You will wrangle data in pandas dataframes and learn the most common dataframe operations. In short, you will acquire the skills necessary to manipulate your data in many different ways.

    As you move deeper into Spark, you will master the art of filtering data, joining dataframes, and manipulating dates and times with ease. You will also be exposed to using SQL in Spark, allowing you to use SQL queries to extract data from Delta Parquet files and storing them in dataframes.

    This course will also equip you with the knowledge you need to optimize Spark performance through effective configuration and autotuning. You will learn that there is very little you have to do to fully optimize the Spark environment in which your notebooks run.

    The course consists of over 30 lectures, complemented by hands-on practice exercises that will challenge your understanding of the concepts being taught and perhaps your research ability. By the end of this course, you will be a confident and proficient Spark notebook user, capable of harnessing its immense power to solve real-world data scenarios.

    Here are just some of the compelling benefits you will gain from this course:


    • Master the fundamentals of Spark libraries, dataframes, and SQL

    • Learn to how to filter, aggregate, and join data using dataframes

    • Gain expertise in manipulating dates and times

    • Data Wrangling

    • Learn how to optimize Spark performance through configuration and autotuning

    • Solve real-world data scenarios with Spark notebooks

    • Enhance your resume with in-demand Fabric Spark notebook skills

    • Position yourself for success in the booming field of Big Data

    If you are ready to take your data skills to the next level, then enroll in this course today and learn how you can use Apache Spark and notebooks, integrated in Microsoft Fabric, in your day-to-day work.

    Who this course is for:

    • Anyone wanting to learn how Apache Spark and Notebooks are integrated into Microsoft Fabric

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    Randy Minder
    Randy Minder
    Instructor's Courses
    Microsoft Certified Professional:Exam 70-778: Analyzing and Visualizing Data with Microsoft Power BI (January 2019 - 80% score)Snowflake Core Certification Exam (April 2021 - 90% score)Seasoned database engineer (OLTP, data warehouses, operational data stores), tabular modeling, business intelligence. Power BI, Snowflake and KQL. 20 years of software development using a variety of Microsoft technologies, mostly C#. 2016 Nominee for the First Solar Business Enablement CEO Award for Analytics Tools & Methods Infrastructure.StackOverflow reputation of 45,000 (top 1%)
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 31
    • duration 4:43:14
    • Release Date 2024/01/02