Master Azure Databricks | Udemy


Master Azure Databricks | Udemy
English | Size: 4.26 GB
Genre: eLearning

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

What you’ll learn
Azure Databricks Fundamentals
RDD & PySpark DataFrame
Spark Structure Streaming
Databricks Advance concept (Delta lake,SQL Warehouse,Security,Devops,Administration)

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

Who this course is for:

  • Data Engineering Students & Developers
  • Bigdata Developer
  • Python & SQL Developer
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