Unlock the Future with Azure Synapse: Transformative Training for Cutting-Edge Data Mastery
Azure Synapse Training offers a comprehensive learning experience designed to empower professionals with the skills needed to master one of Microsoft’s most powerful analytics services. Azure Synapse Analytics, formerly known as Azure SQL Data Warehouse, integrates big data and data warehousing, enabling users to analyze vast amounts of data seamlessly. This training program covers essential topics such as data integration, data exploration, data warehousing, and real-time analytics, providing hands-on experience with the tools and techniques required to leverage Azure Synapse effectively. Participants will learn to design and implement data pipelines, optimize performance, and derive actionable insights from complex datasets. The course also includes practical exercises and case studies to reinforce learning and ensure proficiency in using Azure Synapse for various business needs. By the end of the training, individuals will be equipped to handle diverse data challenges, drive data-driven decision-making, and contribute to their organization’s success. Whether you are looking to enhance your skills or pivot to a data-centric role, Azure Synapse Training offers the expertise and knowledge needed to excel in today’s data-driven landscape.
Overview of Azure Synapse Training
The objective of Azure Synapse Training is to equip professionals with the skills and knowledge needed to effectively utilize Azure Synapse Analytics for advanced data management and analysis. The training aims to provide a deep understanding of integrating big data and data warehousing, enabling participants to design, implement, and optimize data pipelines and workflows. Key goals include mastering data exploration, real-time analytics, and performance tuning to drive actionable insights from complex datasets. By the end of the training, attendees will be able to leverage Azure Synapse to enhance data-driven decision-making, solve diverse data challenges, and contribute effectively to their organization’s data strategy and success.
Azure Synapse Training is ideal for data professionals, including data analysts, data engineers, and data scientists, seeking to enhance their skills in advanced data analytics and management. It’s also suitable for business intelligence professionals and IT specialists who want to leverage Azure Synapse for integrating big data and data warehousing solutions. Additionally, project managers and decision-makers involved in data-driven projects can benefit from understanding how to utilize Azure Synapse for actionable insights and improved decision-making. This training is beneficial for anyone looking to advance their career in data analytics and harness the full potential of Azure Synapse Analytics.
To enroll in an Azure Synapse Course, participants should have a foundational understanding of data concepts and analytics. Basic knowledge of SQL and experience with relational databases are highly recommended. Familiarity with cloud computing principles and Azure services is also beneficial. Prior experience in data warehousing or big data technologies can be advantageous, though not mandatory. Understanding of data modeling and basic programming skills may help in grasping advanced topics more effectively. Overall, a strong interest in data analytics and a willingness to learn are key prerequisites for success in the course.
Job opportunities in Azure Synapse span various roles within data analytics and cloud computing. Key positions include Data Engineer, responsible for designing and managing data pipelines and workflows, and Data Analyst, focusing on deriving insights from complex datasets. Roles such as Data Scientist and Business Intelligence Developer also leverage Azure Synapse for advanced analytics and reporting. Additionally, Cloud Solutions Architects and Big Data Consultants can utilize Azure Synapse for integrating and optimizing big data solutions. With its broad application in data management and analytics, expertise in Azure Synapse opens doors to diverse and lucrative career paths in the tech industry.
Key Features
Detailed Content
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
Certificate of Appreciation
This Certificate of Appreciation is awarded in recognition of successfully completing the course and demonstrating outstanding commitment and achievement.
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