Azure Data Engineer Online Training in Hyderabad
Azure Data Engineering Training:
Learning data engineering is crucial in the modern world as data powerfully shapes decisions, and innovation is spurred on by it. Imagine using a top-notch cloud platform, Microsoft Azure, to turn raw data into insightful analysis that propels businesses forward. Training in Azure Data Engineering provides an excellent chance for people trying to acquire the abilities required for success in a data-driven environment, as companies want to keep their advantage in an evolving environment.
What is Azure Data Engineering?
Using Microsoft Azure, a robust cloud platform, Azure data engineering creates, deploys, and manages data solutions. Azure guarantees data is ingested, handled, and analyzed effectively by offering many tools and services to build scalable and secure data pipelines. Using Azure, data engineers manage vast amounts of data and turn unprocessable data into insightful information for companies.
What is Azure Data Engineering Training?
Training in Azure Data Engineering gives people the tools and expertise to use Azure's data offerings well. Data security, integration, processing, and storage are just a few topics this program addresses. Participants learn how to create, develop, and manage end-to-end data solutions on Azure to equip them for real-world data engineering issues.
Reasons to Opt for Azure Data Engineering Training
High Demand: Skilled data engineers fluent in Azure are highly sought after, providing plenty of employment possibilities.
Comprehensive Skill Set: Training provides a complete knowledge of Azure's data tools, therefore arming workers for different tasks.
Career Advancement: Certification in Azure Data Engineering may significantly improve earning potential and employment opportunities.
Key Features of Azure Data Engineering Training
Training courses in Azure Data Engineering are made with elements meant to increase learning and helpful applications:
Hands-On Labs: Participate in functional activities to apply theoretical knowledge to practical scenarios successfully.
Expert Instructors: Discover the depth of Azure data engineering training from seasoned business leaders' excellent real-world knowledge.
Updated Curriculum: Through routinely revised training materials, keep up with the current trends and updates in the industry developments.
Certification Preparation: Get resources, tools, and guidance from our expert team to pass tests for Azure certification in Hyderabad.
Flexible Learning Options: Choose from online and offline formats to suit your learning preferences.
Eligibility Criteria for Azure Data Engineering Training
- Any Graduates with experience in the IT field can enroll in this course.
- Candidates with background knowledge of various technical languages like Oops, etc.
- Aspirants with Intermediate expertise and knowledge in data concepts find this training program flexible.
- Candidates familiar with cloud computing language are preferable but optional skills.
- Aspirants eager to learn and apply Azure data engineering principles in their careers are most welcome to join our Azure data engineering training in Hyderabad.
Prerequisites for Azure Data Engineering Training
- Basic knowledge of databases and SQL
- Understanding of programming languages like Python or SQL
- Familiarity with cloud computing concepts
Who Can Attend Azure Data Engineering Training Course?
- Aspiring Data Engineers
- IT Professionals looking to upskill their job role and career
- Professional Data Analysts seeking to transition to data engineering
- Cloud enthusiasts aiming to specialize in the Azure program
Top 10 Job Roles For Azure Data Engineering:
- Azure Data Engineer
- Cloud Data Engineer
- Data Architect
- Data Analyst
- Business Intelligence Developer
- Data Integration Specialist
- ETL Developer
- Big Data Engineer
- Data Warehouse Developer
- Solutions Architect
Conclusion
Azure Data Engineering Training is a wise choice for anybody planning to take a step forward in data management. Along with practical exercises, it is overflowing with knowledge. Add a mark of approval from professionals in the field to equip people to manage actual data challenges. Ultimately, it adds value to the winning run of their teams.
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Course Structure
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Course's Key Highlights
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
- Types of cloud services
- Infrastructure as a Service
- Platform as a Service
- Software as a Service
- Comparing Cloud Platforms
- 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 reporting
- 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: Azure SQL Database
- Introduction Azure SQL Database.
- Comparing Single Database
- Managed Instance
- Creating and Using SQL Server
- Creating SQL Database Services
- Azure SQL Database Tools
- Migrating on premise database to SQL Azure
- Purchasing Models
- DTU service tiers
- vCore based Model
- Serverless compute tier
- Service Tiers
- General purpose / Standard
- Business Critical / Premium
- Hyperscale
- Deployment of an Azure SQL Database
- Elastic Pools
- What is SQL elastic pools
- Choosing the correct pool size
- Creating a New Pool
- Manage Pools
- Monitoring and Tuning Azure SQL Database
- Configure SQL Database Auditing
- Export and Import of Database
- Automated Backup
- Point in Time Restore
- Restore deleted databases
- Long-term backup retention
- Active Geo Replication
- Auto Failover Group
Module 6:Azure Storage Service
- Storage Service and Account
- Creating a Storage Account
- Standard and Premium Performance
- Understanding Replication
- Hot, Cold and Archive Access Tiers
- Working with Containers and Blobs
- Types of Blobs
- Block Blobs
- Append Blobs
- Page Blobs
- Blob Metadata
- Soft Delete
- Azure Storage Explorer
- Access blobs securely
- Access Key
- Account Shared Access Token
- Service Shared Access Token
- Shared Access Policy
- Storage Service Encryption
- Azure Key Vault
Module 7: Azure Data Lake
- Introduction to Azure Data Lake
- What is Data Lake?
- What is Azure Data Lake?
- Data Lake Architecture?
- Working with Azure Data Lake
- Provisioning Azure Data Lake.
- Explore Data Lake Analytics
- Explore Data Lake Store
- Uploading Sample File
- Using Azure Portal
- Using Storage Explorer
- Using Azure CLI
Why Learn from Azure Data Engineer Online Training Zixiq?
Future and career of you bestow in choosing the best Azure Data Factory platform you could afford. By opting our top Azure Data Engineer Online Training program you open up to amazing opportunities like:
- Without wasting time, learn from any corner of the world
- Learn the perspective of data science with machine language
- Get thoroughly with the latest updates, industry needs, specifications, etc
- Azure Data Engineer Online training enhances you with real-time projects, material and examples
- Get hands-on experience with the latest tools and techniques
- Get material to your mail with various examples
- Azure Data Engineer zixiq will be one call away from you 24/7
Azure Data Engineer zixiq understands your stability, passion, and requirements than any other. Join the best Azure Data Engineer online training platform today and explore your career options.