Azure Data Bricks Training in Dilsukhnagar Hyderabad

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TMS Data Science Offers  Azure Data Bricks Course in dilsukhnagar Hyderabad.

Azure Data Bricks Course in Dilsukhnagar Hyderabad

azure data bricks course content

Module 1: Cloud Computing Concepts
  • What is the “Cloud”?
  • Why cloud services
  • Types of cloud models
    • Deployment Models
    • Private Cloud deployment model
    • Public Cloud deployment model
    • Hybrid cloud deployment model
    • Microsoft Azure,
    • Amazon Web Services,
    • Google Cloud Platform
  • Characteristics of cloud computing
    • On-demand self-service
    • Broad network access
    • Multi-tenancy and resource pooling
    • Rapid elasticity and scalability
    • Measured service
  • Cloud Data Warehouse Architecture
  • Shared Memory architecture
  • Shared Disk architecture
  • Shared Nothing architecture
Module 2: Core Azure services
  • Core Azure Architectural components
  • Core Azure Services and Products
  • Azure solutions
  • Azure management tools
Module 3: Security, Privacy, Compliance
  • Securing network connectivity
  • Core Azure identity services
  • Security tools and features
  • Azure Governance methodologies
  • Monitoring and reportingS
  • Privacy, compliance, and data protection standards
Module 4:Azure Pricing and Support
  • Azure subscriptions
  • Planning and managing costs
  • Azure support options
  • Azure Service Level Agreements (SLAs)
  • Service Lifecycle in Azure
Module 5: Introduction to Azure Databricks
  • Introduction to Databricks
  • Azure Databricks Architecture
  • Azure Databricks Main Concepts
Module 6:Azure Databricks Account Creation
  • Azure Free Account
  • Free Subscription for Azure Databricks
  • Create Databricks Community Edition Account
Module 7:Databricks Cluster Types and Notebook Options
  • Creating and configuring clusters
  • Create Notebook
  • Quick tour on notebook options
Module 8:Databricks Utilities and Notebook Parameters
  • Dbutils commands on files, directories
  • Notebooks and libraries
  • Databricks Variables
  • Widget Types
  • Databricks notebook parameters
Module 9:Databricks CLI
  • Azure Databricks CLI Installation
  • Databricks CLI – DBFS, Libraries and Jobs
Module 10:Databricks Integration with Azure Blob Storage
  • Read data from Blob Storage and Creating Blob mount point
Module 11:Databricks Integration with Azure Data Lake Storage Gen2
  • Reading files from Azure Data Lake Storage Gen2
Module 12:Databricks Integration with Azure Data Lake Storage Gen1
  • Reading Files from data lake storage Gen1
Module 12:Databricks Integration with Azure Data Lake Storage Gen1
  • Reading Files from data lake storage Gen1
Module 13:Reading and Writing CSV files in Databricks
  • Read CSV Files
  • Read TSV Files and PIPE Seperated CSV Files
  • Read CSV Files with multiple delimiter in spark 2 and spark 3
  • Reading different position Multidelimiter CSV files
Module 14:Reading and Writing Parquet files in Databricks
  • Read Parquet files from Data Lake Storage Gen2
  • Reading and Creating Partition files in Spark
Module 15:Parsing Complex Json FilesL
  • Reading and Writing JSON Files
  • Reading, Transforming and Writing Complex JSON files
Module 16:Reading and Writing ORC and Avro Files
  • Reading and Writing ORC and Avro Files
Module 17:Databricks Integration with Azure Synapse
  • Reading and Writing Azure Synapse data from Azure Databricks
Module 18:Databricks Integration with Amazon Redshift(Redshift)
  • Read and Write data from Redshift using databricks
Module 19:Databricks Integration with Snowflake
  • Reading and Writing data from Snowflake
Module 20:Databricks Integration with CosmosDB SQL API
  • Reading and Writing data from Azure CosmosDB Account
Module 21:Python Introduction
  • Python Introduction
  • Installation and setup
  • Python Data Types for Azure Databricks
Module 22:Python Data Types
  • Deep dive into String Data Types in Python for Azure Databricks
  • Deep dive into python collection list and tuple
  • Deep dive on set and dict data types in python
Module 23:Python Functions and Arguments
  • Python Functions and Arguments
  • Lambda Functions
Module 24:Python Modules and Packages
  • Python Modules and Packages
Module 25:Python Flow Control
  • Python Flow Control
  • For-Each
  • While
Module 25:Python Flow Control
  • Python Flow Control
  • For-Each
  • While
Module 26:Python File Handling
  • Python File Handling
Module 27:Python Logging Module
  • Python Logging Module
Module 28:Python Exception Handling
  • Python Exception Handlings
Module 29:Pyspark Introduction
  • Pyspark Introduction
  • Pyspark Components and Features
Module 30:Spark Architecture and Internals
  • Apache Spark Internal architecture
  • jobs stages and tasks
  • Spark Cluster Architecture Explained
Module 31:Spark RDD
  • Different Ways to create RDD in Databricks
  • Spark Lazy Evaluation Internals & Word Count Program
  • RDD Transformations in Databricks & coalesce vs repartition
  • RDD Transformation and Use Cases
Module 32:Spark SQL
  • Spark SQL Introduction
  • Different ways to create DataFrames
Module 33:Spark SQL Intenals
  • Catalyst Optimizer and Spark SQL Execution Plan
  • Deep dive on Sparksession vs sparkcontext
  • spark SQL Basics part-1
  • RDD Transformation and Use Cases
Module 34:Spark SQL Basics
  • Spark SQL Basics Part-2
  • Joins in Spark SQL
Module 35:Spark SQL Functions and UDFs
  • Spark SQL Functions part-1
  • Spark SQL Functions part-2
  • Spark SQL Functions Part-3
  • Spark SQL UDFs
  • Spark SQL Temp tables and Joins
Module 36:Databricks Delta and Implementing Dimensions SCD1 and SCD2
  • Implementing SCD Type1 and Apache Spark Databricks Delta
  • Delta Lake in Azure Databricks
  • Implementing SCD Type with and without Databricks Delta
Module 37:Databricks Integration with Azure Data Factory
  • Azure Data Factory Integration with Azure Databricks
Module 38:Databricks Streaming
  • Delta Streaming in Azure Databricks
  • Data Ingestion with Auto Loader in Azure Databricks
Module 39:Azure Databricks Projects
  • Azure Databricks Project-1
  • Azure Databricks Project-2
Module 40:Databricks Integration with Azure Devops
  • Azure Databricks CICD Pipelines