Udemy

Master Azure Databricks

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  • 640 Students
  • Updated 6/2024
  • Certificate Available
4.1
(85 Ratings)
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Course Information

Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
14 Hour(s) 7 Minute(s)
Language
English
Taught by
A. K Kumar
Certificate
  • Available
  • *The delivery and distribution of the certificate are subject to the policies and arrangements of the course provider.
Rating
4.1
(85 Ratings)
1 views

Course Overview

Master Azure Databricks

Learn Databricks concepts, PySpark, Spark Structure Streaming, Delta lake, Databricks SQL Analytics, REST API & CLI

Module 1 :

  • What is Data Pipeline

  • What is Azure databricks

  • Azure Databricks Architecture

  • Azure Account Setup

  • WorkSpace Setup

Module 2:

  • Navigate the Workspace

  • Runtimes

  • Clusters

  • Notebooks

  • Libraries

  • Repos

  • Databricks File System (DBFS)

  • DBUTILS

  • Widgets

  • Workflows

  • Metastore - Setup external Metastore

Module 3 :

  • What is RDD

  • Creating RDD

  • RDD transformations

  • RDD Actions

  • RDD Joins

  • Pair RDD

  • Broadcast Variables

  • Accumulators

  • Convert RDD to DataFrame

  • Import & Read data

  • Create a table using the UI

  • Create a table in a Notebook


Module 4 :

  • Create DataFrames

  • Define Schema

  • Functions

  • Casting Operations

  • Filter Transformation

  • Update, Update ALL & UpdateByName

  • OrderBy & SortBY

  • GroupBy

  • Remove Duplicates

  • Window Functions

  • Date and Timestamp Functions

  • UDF (User Defined Function)

  • JOIN

  • Handle corrupt records using the badRecordsPath

  • File metadata column


Module 5 :

  • Read Parquet File

  • Read CSV Files

  • Read JSON Files

  • Read XML Files

  • Read Excel file

  • SQL databases using JDBC

  • Azure blob storage


Module 6 :

  • What is Spark Structure Streaming

  • Data Source & Sink

  • Rate & File Source

  • Kafka Source

  • Sink : Console, Memory, File & Custom

  • Build Streaming ETL

  • Stream ETL 1 : Setup Event Hub

  • Streaming ETL 2 : Event Hub Producer

  • Streaming ETL 3 : Integrate Event Hubs with Data Bricks

  • Streaming ETL 4 : Transformation

  • Streaming ETL 5 : Ingest into Azure Data storage

  • Twitter Sentiment Analysis - Introduction

  • Setup Twitter Developer Account

  • Twitter Sentiment Analysis - II

  • Twitter Sentiment Analysis - III

Module 7 :

  • Components in Databricks SQL

  • Configuring a SQL Endpoint

  • Creating a Table from a CSV File

  • Create Queries

  • Parameterized Query

  • Query Profile

  • Building Visualization (Table, BAR & PIE )

  • Building Line Chart & Counter Chart

  • Adding Charts to Dashboards

  • Defining a Query Alert

  • Access Control on Databricks SQL Objects

  • Lab: Data Object Access Control

  • Transfer Ownership

  • Access SQL Endpoint from Python

  • Databricks SQL CLI

  • Databricks SQL CLI


Course Content

  • 18 section(s)
  • 161 lecture(s)
  • Section 1 Introduction
  • Section 2 Azure DataBricks
  • Section 3 Workspace, Notebook, Job, DBFS
  • Section 4 RDD, Database, Tables
  • Section 5 DataFrame
  • Section 6 Data Source
  • Section 7 Spark Structure Streaming
  • Section 8 DataBricks SQL
  • Section 9 Delta Lake
  • Section 10 Administration
  • Section 11 DataBricks Security
  • Section 12 DataBricks CLI & Rest API
  • Section 13 BI Tools
  • Section 14 CICD Devops
  • Section 15 Delta Live Tables - SQL
  • Section 16 Performance Optimization
  • Section 17 Autoloader
  • Section 18 Recipes

What You’ll Learn

  • Azure Databricks Fundamentals
  • RDD & PySpark DataFrame
  • Spark Structure Streaming
  • Databricks Advance concept (Delta lake,SQL Warehouse,Security,Devops,Administration)

Reviews

  • S
    Sascha Höche
    3.0

    Heavy accent makes it challenging to understand sometimes.

  • S
    Suraj Sharma
    4.0

    N/A

  • D
    Daniel Barron
    5.0

    It's very interesting!

  • R
    Rodrigo Méndez
    5.0

    Es claro

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