Course curriculum

    1. Creating Azure Databricks Workload

    2. Introduction to Azure Databricks and Creating First Cluster

    3. Creating Cluster in Databricks community Edition

    4. Creating First Notebook

    5. DBFS

    6. DBFS UI

    7. Creating Documentation Cell

    8. Uploading file in DBFS

    9. Reading File from DBFS and Creating First DataFrame

    10. End of Module

    1. Spark Documentation

    2. Creating PySpark DataFrame using list of Rows

    3. Creating PySpark DataFrame using explicit schema

    4. Creating PySpark DataFrame using pandas DataFrame

    5. Creating DataFrame Ex 1

    6. Creating DataFrame Ex2

    7. Creating DataFrame using PySpark Datatypes

    8. Creating DataFrame Ex3

    9. Creating DataFrame Ex4

    1. Documentation on Dataframe functions (Spark)

    2. Select-1 & 2

    3. Select dataframe functions with alias

    4. withColumnRenamed

    5. withColumn

    6. DataFrame Function-Count

    7. DataFrame Function-Limit

    8. Describe DataFrame

    9. Dtypes and printschema

    10. tail() and take() function in databricks

    11. Show or Display

    12. Functions

    13. Col, Lit and Concat Functions

    14. Renaming Column Names

    15. Select & withcolumn

    16. Filter

    17. Filtering Nulls

    18. Select & concat

    19. Sort

    20. Datagram Function-Sort in Databricks

    21. DataFrame Function-Sort with Multiple Column in Databricks

    22. DataFrame Function-Drop in Databricks

    23. Drop Duplicates

    24. Handling Null using dropna or na.drop in Pyspark _Databricks Tutorial for Beginners_Azure Databricks

    25. DataFrame Function - Group by _ Aggregation in Databricks

    26. Run a Databricks notebook from another notebook

    1. Introduction to Delta Lake

    2. Internals of Delta Lake

    3. Optimize in Delta Lake

    4. Time Travel in delta lake

    5. UpSert in Delta Lake

    6. Z ordering in Delta Lake

    1. E2E Capstone

    2. Azure Databricks intro

    3. Azure Intro and ADLS

    4. Big Data File Formats

    5. CSV to delta table

    6. Jobs in Databricks

    7. Method Using Secret Key and Service Principal

    8. Unmount

    1. Reading Json(Constructor)and Writing into Parquet

    2. Reading Json(driver)and Writing into Parquet

    3. Reading CSV with user Schema

    4. Complex Json

    5. Reading Excel

    6. Reading CSV and transforming

    7. Creating User Defined Schema

    8. Date and Time Stamp Functions

    9. Handling Null Values

    10. Views

    11. Why Create User Defined Schema

About this course

  • $599.00
  • 71 lessons
  • 6 hours of video content

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