Azure Synapse Trainings

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Azure Synapse trainings – Golive classes

In today’s data-driven world, organizations face the challenge of efficiently managing and deriving insights from vast amounts of data. Azure Synapse, a powerful analytics service provided by Microsoft, enables businesses to unify data from various sources, perform advanced analytics, and gain valuable insights. This article explores the capabilities and benefits of Azure Synapse, empowering you to leverage its full potential for your data-driven initiatives.

Enhanced Cloud Expertise: Azure Synopsis empowers you to gain in-depth knowledge of Azure services and features, allowing you to design, deploy, and manage cloud solutions effectively.

Industry Recognition: Completing Azure Synopsis trainings and certifications showcases your expertise and demonstrates your commitment to staying abreast of the latest trends and advancements in cloud computing.

Improved Efficiency and Productivity: By mastering Azure, you can optimize workflows, automate processes, and streamline operations, resulting in increased productivity and cost savings.

Scalability and Flexibility: Azure offers a scalable and flexible cloud infrastructure, and Azure Synopsis equips you with the skills to leverage these capabilities, ensuring your organization can adapt and grow seamlessly.

Competitive Advantage: With Azure becoming the go-to choice for cloud solutions, having Azure expertise through Azure Synopsis can give you a competitive edge in the job market and open doors to new career opportunities.

Azure Synapse Analytics Course Content

Module 1: Introduction To Azure Synapse
> Technical requirements
> Interdiction the components of Azure synapse
> Creating synapse Workspace
> Understanding Azure Data Lake Exploring Synapse Studio

Module 2: Consideration For Your Compute Environment
Technical requirements Introducing SQL Pool
> Creating SQL Pool
> Understanding Synapse SQL Pool
> Architecture and component
> Examining DWUs
> Understanding distribution in Synapse SQL Pool
> Understanding portions in Synapse SQL Pool
> Using temporary table in Synapse SQL Pool
> Discovering the benefits of Synapse SQL Pool
Understanding Synapse SQL on demand
> SQL on-demand architecture and components
> Learning about the benefits of Synapse SQL on-demand

Module 3: Bringing Your Data To Azure Synapse
> Technical requirements
> Using Synapse pipelines to import data
> Bringing data to your Synapse SQL Pool using Copy Data tool
> Using Azure Data Factory to import data
> Using SQL Server integration Services to import data

Module 4: Using Synapse Pipelines
> Technical requirements
> Introducing synapse pipe lines
> Integration runtime
> Activities
> Pipelines
> Triggers
Creating linked services
Defining source and target
Using various activities in synapse pipelines
Scheduling synapse pipelines
Creating pipelines using samples

Module 5: Using Synapse With Azure Cosmos Db
>Technical requirements
> Enabling the analytical store in Cosmos DB
> Data storage
> Transactional store
> Analytical store
Querying the Cosmos DB analytical store
> Querying with Azure Synapse Spark
> Querying with Azure Synapse SQL Serverless

Module 6: Working With T-sql In Azure Synapse
Technical requirements
> Supporting T-SQL language elements in a Synapse SQL pool
> CTEs
> SELECT – OVER clause
> Using dynamic SQL in Synapse SQL
> Learning GROUP BY options in Synapse SQL

Using T – SQL loops in Synapse SQL
Stored procedures
> Views
Optimizing transactions in Synapse SQL
Supporting system views in a Synapse SQL Pool
Using T – SQL queries on semi-structured and unstructured data
> Reading Parquet files
> Reading JSON documents
> External tables

Module 7: Working With R, Python, .net, And Spark Sql In Azure
Technical requirements

> Using Azure Open Datasets
> Using Sample Scripts
> Pyspark (Python)
> Spark (Scala)
> .NET Spark (C#)

Module 8 : Integrating A Power Bi Workspace With Azure Synapse
Technical requirements
> Connecting to a Power BI Workspace
> Creating your own dashboard on Azure Synapse
> Creating new Power BI datasets
> Creating Power BI reports
Connecting Azure Synapse Data to Power BI Desktop
Connecting to a Synapse-dedicated SQL Pool
Connecting to a Synapse Serverless SQL Pool

Module 9: Perform Real-time Analytics On Streaming Data
> Technical requirements
> Understanding various Architecture and Components
> Bringing data to Azure Synapse
> Using Azure stream analytics
> Using Azure Databricks
Implementation of real-time analytics on streaming data
Ingest data to Cosmos DB
Accessing data from the Azure Cosmos DB analytics store in Azure Synapse
Loading data to a Spark Data Frame
Creating Visualizations

Module 10: Generating Powerful Insights On Azure Using Azure Ml
> Technical requirements
> Preparing the environment
> Creating a Text Analytics resource in the Azure portal
> Creating an Anomaly Detector resource in the Azure portal
> Creating an Azure key vault
Creating an Azure ML linked Service in Azure Synapse
Machine learning capabilities in Azure Synapse
> Data ingestion and orchestration
> Data preparation and exploration
> Training machine learning models
Use cases with Cognitive Services
> Sentiment analytics
> Anomaly detection

Module 11: Performing Backup And Restore In Azure Synapse
Analytics
> Technical requirements
> Creating restore points
> Automatic restore points
> User-defined restore points
Geo-backup and disaster recovery
> Geo-redundant restore through the Azure portal
> Geo-redundant restore through powerShell
Cross-subscription restore

Module 12: Securing Data On Azure Synapse
> Implementing network security
> Managed workspace virtual network
> Private endpoint for SQL on-demand
> IP firewall rules
> SQL authorization
> Azure Active Directory authorization
> Implementing RBAC in a Synapse SQL Pool
Enabling threat protection
> Azure SQL auditing
>Azure Defender for SQL
Understanding information protection

Module 13: Managing And Monitoring Synapse Workloads
> Technical requirements
> Managing Synapse resources
> Analytical Pools
> External Connections
> Integration
> Security
> Source control
Monitoring Synapse workloads
> Integration
> Activities
> Analytics Pools
Managing maintenance schedules
Creating alerts for Azure Synapse Analytics

Module 14: Coding Best Practices
> Technical requirements
> Implementing best practice for a Synapse dedicated SQL pool
> Maintaining statics
> Using correct distribution for your tables
> Using partitioning
> Using an adequate column size
> Advantage of using a minimum transaction size
> Using PolyBase to load data
> Reorganization rebuilding indexes
> Materialization views
> Using an appropriate resource class
Implementing best practice for a Synapse serverless SQL pool
> Selecting the region to create a serverless SQl pool
> File for querying
> Using CETAS to enhance query performance
Implementing best practice for a Synapse Spark pool
> Configuring the Auto-pause setting
> Enhance Apache Spark performa

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