Best Azure Data Bricks Training in Dilsukhnagar
Naren Technologies Offers 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