Azure Data Factory in Hyderabad
Version IT offers scenario-based and industry-specific learning in the Azure Data Factory course. The course will teach how to provision and manage services in Microsoft Azure.
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🎓 10,000+ Enrolled
Students worldwide
👨🏫 10+ Years Experience
Industry expert trainers
⭐ 4.9/5 Rating
Based on 6,000+ student reviews
📅 Course Duration
5 Months
💰 Course Price
₹ 30000
📄 Course Content
Overview
ADF is an Azure cloud service that allows you to move enormous volumes of data into the cloud. All data in transit is automatically encrypted by the service. It can move gigabytes of data in a couple of hours because it is intended for large data volumes. ADF also has the ability to integrate with GitHub for continuous integration. ADF setups can be downloaded and deployed in various environments as Azure ARM templates. PowerShell is also supported.
Azure Data Factory is a software system that transforms unstructured data into useful data warehouses and data lakes. It is made up of interconnected systems that work together to give an end-to-end data engineering platform. In enterprise environments, data is always flowing at varying rates and intervals. Users can utilise the Azure Data Factory to transform data and load it into centralised storage or cognitive services.
Data sets are storage containers that describe certain data structures. The data set in the accompanying screenshot, for example, links to a directory in an Azure storage account. These directory and container names are configured on the Parameters tab. You can optionally specify whether the data is zipped in the data set’s reference, allowing ADF to automatically decompress the data when it is read. You can also specify the type of data that the data factory will store.
A Data Engineer can also assist in converting data into a useful context with relevant insights. ADE can be extremely beneficial to analysts, data scientists, and business decision makers. Companies are increasingly integrating ADE into their workforce on a big scale in response to the increase in demand for ADF applications. This has increased the opportunities for qualified and certified professionals on this platform significantly.
By Joining our Best Azure Data factory Training In Hyderabad, you will gain knowledge of real-world abilities and traits in Data Engineering that will get you recruited right away.
Who can Enroll?
Version IT’s comprehensive real-time & hands-on knowledge based Azure Data Factory Training Institute In Hyderabad is perfect for people working in analytics, data engineers, system design, cloud experts, etc.
In addition to them, this course is appropriate for applicants who want to build their career in a technology that provides multiple chances and scope for continuing career development. Another group of people that can learn from our Azure Data Factory training programme is:
The other target audience are:
- Freshers/Graduates
- Job seekers who are interested in Azure
- Analysts
- Network Admins
- Database Administrator
Career Opportunities with Azure Data Factory
An Azure Data Factory position includes participating in all stages of a service’s lifecycle as well as interacting with customers and community members. Experience with cloud computing platforms, big data, machine learning, and data science will be useful. Furthermore, you should be at ease working in a team atmosphere.
The ability to work from home is the finest part of working with Azure Data Factory. The company provides a variety of versatile and secure data warehouses and services to assist you in organising and storing a wide range of data. These services assist businesses in processing and organising all of their data. The company offers a complete platform for data engineers to create and manage hybrid data integration projects.
As an experienced developer, you must be well-versed in Microsoft’s BI Stack. You should have substantial experience working in a team and creating new solutions on your own. You must also have strong technical skills in at least one development technology.
Version IT one of the Best Azure Data Factory Training Institutes In Hyderabad Provides All above Knowledge with Azure Data Factory training programme so join and learn the skills to enhance your career.
Topics You will Learn
- 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
- 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
- Core Azure Architectural components
- Core Azure Services and Products
- Azure solutions
- Azure management tools
- Securing network connectivity
- HdInsights Overview.
- Core Azure identity services
- Security tools and features
- Azure Governance methodologies
- Monitoring and reportingS
- Privacy, compliance, and data protection standards
- Azure subscriptions
- Planning and managing costs
- Azure support options
- Azure Service Level Agreements (SLAs)
- Service Lifecycle in Azure
- What is tuple?
- Different ways of creating Tuple
- Method of Tuple object
- Tuple is Immutable
- Mutable and Immutable elements of Tuple
- Process tuple through Indexing and Slicing
- List v/s Tuple
Let Your Certificates Speak
- Comprehensive training in Azure Data Factory.
- Certificates are globally recognized & they upgrade your programming profile.
- Certificates are generated after the completion of course.
All You Need to Start this Course
- Engaging and interactive course content.
- Expert-led instruction for a deeper understanding.
FAQ's
Data Factory is a cloud-based, fully managed data-integration ETL solution that automates data transfer and transformation. Azure Data Factory, like a factory that operates machinery to change raw materials into completed items, orchestrates existing services that take raw data and transform it into ready-to-use information.
Datasets, Pipelines, Activities, and Linked Services are the four main components of Azure Data Factory. Datasets are data structures, pipelines are collections of data-driven activities, activities are processing processes, and linked services specify the information needed to connect to other data sources.
Azure SQL Database, Azure Blob Storage, Azure Table Storage, on-premises SQL Server, on-premises Oracle, and many more data sources are supported by Azure Data Factory.
Yes, you may arrange the execution of data pipelines based on your business requirements with Azure Data Factory. You may create repeating schedules and activate pipelines on the fly.
