Azure Data Factory

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Azure Data Factory
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Course Overview

Azure Data Factory is the stage that settles such information situations. It is a cloud-based information joining administration that permits you to make information driven work processes in the cloud for arranging and computerizing information development and information change. Utilizing Azure Data Factory, you can make and timetable information driven work processes (called pipelines) that can ingest information from unique information stores. It can measure and change the information by utilizing figure administrations like Azure HDInsight Hadoop, Spark, Azure Data Lake Analytics, and Azure Machine Learning.

In this Microsoft Azure Data Factory online training in Bangalore, you will acquire top to bottom information and accomplish every one of the abilities in Azure and its advances, like Azure SQL Data Warehouse, Azure Data Factory.

This Azure preparing will assist you with setting up the DP-200 accreditation test by assisting you with dominating the abilities to make and utilize Azure information arrangements. With the assistance of this course, you will be gifted to perform information the board, guarantee security, and so forth, utilizing the administrations accessible in Azure. Further, you will dominate the accompanying modules:

  • Improving a few information arrangements
  • Information stockpiling arrangement and its execution
  • Overseeing information handling

The professionals listed below are eligible to take up this course:

  • Data Analysts
  • Data Engineers
  • Data Scientists
  • Data Architects
  • Professionals who wish to learn Azure Data Factory and pursue a career in it

Does this ADF preparing in Bangalore cover Databricks?

Indeed. Our Azure Data Factory preparing in Bangalore will make you ace Databricks. Our mentors will guarantee your capacity to chip away at the high-level variant of Apache Spark, permitting you to incorporate it with various open-source libraries. You will likewise be equipped for refreshing the groups in Apache Spark.

Our Azure Data Factory preparing helps as the Azure's cloud ETL administration for scale-out worker less information combination and information change. It additionally offers a without code UI for natural composing and single-sheet of-glass observing and the executives. You can likewise lift and shift existing SSIS bundles to Azure and run them with full similarity in ADF. For more data register with us or dial our helpline to discover best preparing guides for Azure Data Factory Corporate Training and Azure Data Factory Classroom Training and come out better as a chief. At BestwayTechnologies we additionally give Azure Factory Online Training from our ongoing specialists. is outstanding amongst other IT Training conveying Partners, we can get together significant coaches for every one of the conceivable most recent innovations at Hyderabad, Bangalore, and other such IT centres.

 

Conclusion

Bestway Technologies makes you a specialist in every one of the ideas of Azure Data Factory and furthermore conceivable Azure Concepts. Get a completely fledged Azure Data Factory Corporate Course preparing for a superior view and comprehension. At Bestway Technologies, it involves pride for us to make work situated hands on courses accessible to anybody, whenever and anyplace. Thusly we guarantee that you can take on the course 24 hours per day, seven days seven days, 365 days a year. Learn at a time and location, and speed that is of your decision. On the off chance that you have any questions in regards to the Azure Data Factory Online Training or occupation support, consistently go ahead and reach us or you can likewise enrol with us so one of our facilitators will reach you at the earliest opportunity. Our group is accessible nonstop. We give Azure Data Factory corporate preparing likewise Classroom Training at Hyderabad, Bangalore.

Q: What is Azure Data Factory (ADF)?

A: Azure Data Factory is a cloud-based data integration service provided by Microsoft Azure. It allows users to create, schedule, and orchestrate data pipelines to move and transform data from various sources to destinations for analysis, reporting, and business intelligence purposes.

Q: What are the key components of Azure Data Factory?

A: Azure Data Factory consists of four key components: Pipelines, Activities, Data Flows, and Linked Services. Pipelines define the workflow, Activities represent the actions taken within the pipeline, Data Flows provide data transformation capabilities, and Linked Services establish connections to data sources and destinations.

Q: What types of data sources and destinations does Azure Data Factory support?

A: Azure Data Factory supports a wide range of data sources and destinations, including Azure services like Azure Blob Storage, Azure SQL Database, Azure Data Lake Storage, as well as on-premises data sources, relational databases, and cloud-based applications.

Q: How does Azure Data Factory support data movement and transformation?

A: Azure Data Factory supports data movement through activities like Copy, Lookup, and Get Metadata, which allow data to be transferred between sources and destinations. Data transformation is achieved using Data Flows, which provide a visual interface for data mapping, filtering, aggregating, and transforming operations.

Q: Can I schedule data pipelines in Azure Data Factory?

A: Yes, Azure Data Factory allows you to schedule data pipelines to run at specified intervals or on-demand. You can set up daily, weekly, or custom schedules based on your data integration requirements.

Q: How does Azure Data Factory handle data processing at scale?

A: Azure Data Factory is designed to handle data processing at scale. It can process large volumes of data and distribute the workload across multiple compute resources, ensuring efficient and high-performance data integration and transformation.

Q: Is coding required to work with Azure Data Factory?

A: While basic knowledge of JSON scripting is helpful, Azure Data Factory provides a user-friendly visual interface that allows users to design and build data pipelines without extensive coding knowledge.

Q: Can I monitor and troubleshoot data pipelines in Azure Data Factory?

A: Yes, Azure Data Factory offers monitoring and logging capabilities that allow you to track the progress of data pipelines, identify any issues, and troubleshoot errors. You can view execution details, diagnostic logs, and performance metrics.

Q: Is Azure Data Factory suitable for both batch and real-time data integration?

A: Yes, Azure Data Factory supports both batch and real-time data integration scenarios. You can set up data pipelines to handle large-scale batch processing as well as real-time data movement and transformation.

Q: How can I learn Azure Data Factory?

A: You can learn Azure Data Factory through official Microsoft training courses, online tutorials, documentation, and hands-on practice with real-world data integration projects.

Q: What job roles are suitable for professionals with Azure Data Factory skills?

A: Professionals with Azure Data Factory skills can pursue roles such as Data Engineer, Data Integration Developer, ETL Developer, Data Architect, and Business Intelligence Developer in organizations dealing with data integration and analytics.

Q: Can Azure Data Factory work with other Azure services for data analytics?

A: Yes, Azure Data Factory can integrate with other Azure services like Azure Databricks, Azure Synapse Analytics, Azure Machine Learning, and Power BI, enabling end-to-end data analytics and insights generation.

 

Question 1: What is Azure Data Factory, and why is it essential in the world of data analytics?

Answer 1: Azure Data Factory is a cloud-based data integration service provided by Microsoft Azure. It is crucial in the world of data analytics because it allows organizations to create, schedule, and automate data-driven workflows, enabling efficient data movement and transformation across various data sources and destinations.

Question 2: Is Azure Data Factory training suitable for beginners with no prior experience in data integration?

Answer 2: Yes, Azure Data Factory training at BESTWAY Technologies is designed to accommodate learners with various levels of experience, including beginners. The courses typically start with fundamental concepts and gradually progress to more advanced topics.

Question 3: What are the primary topics covered in Azure Data Factory training at BESTWAY Technologies?

Answer 3: Azure Data Factory training typically covers a range of topics, including data pipeline creation, data movement and transformation, Azure integration, monitoring and management, and best practices for data integration workflows.

Question 4: How long does it usually take to complete Azure Data Factory training at BESTWAY Technologies?

Answer 4: The duration of Azure Data Factory training can vary depending on the specific course and depth of coverage. BESTWAY Technologies offers flexible training options, including both short-term courses and more extensive programs.

Question 5: Are there any prerequisites for enrolling in Azure Data Factory training?

Answer 5: While prior experience in data integration can be helpful, there are usually no strict prerequisites for introductory Azure Data Factory courses. Familiarity with basic data concepts and cloud computing fundamentals can be advantageous.

Question 6: Does Azure Data Factory training at BESTWAY Technologies include certification preparation?

Answer 6: Certification is typically a separate process from training, but BESTWAY Technologies may provide guidance on Azure Data Factory certification exams and offer preparation materials to help students earn relevant Microsoft certifications.

Question 7: Are there hands-on exercises and labs in Azure Data Factory training?

Answer 7: Yes, hands-on practice is an integral part of Azure Data Factory training at BESTWAY Technologies. Students often have access to Azure environments to work on practical exercises and real-world data integration scenarios.

Question 8: What career opportunities can I pursue after completing Azure Data Factory training?

Answer 8: Graduates of Azure Data Factory training can pursue roles such as data engineer, data integration specialist, ETL (Extract, Transform, Load) developer, and data analyst in various industries, including finance, healthcare, and retail.

Question 9: Can I access training materials and resources after completing the course at BESTWAY Technologies?

Answer 9: BESTWAY Technologies often provides access to course materials and resources for a specified period after course completion, allowing you to review and reinforce your learning.

Question 10: Is job placement assistance offered after completing Azure Data Factory training?

Answer 10: Some training providers, including BESTWAY Technologies, may offer job placement assistance or career support services, such as resume building and interview preparation, to help students transition into Azure Data Factory-related roles. It's advisable to inquire about these services when enrolling.

Course Curriculum

Azure Data Factory Course Syllabus 

 

Class 1:
 Azure Cloud Storage Technologies

Class 2:
 Azure Data Factory Introduction

Class 3:
 ADF_PracticeClass 3_Copy Data Activity_Azure Blob Storage_ADLS Gen2

Class 4:
 ADF_PracticeClass 4_Copy Data from ADLS Gen2 to Azure SQL Database

Class 5:
 ADF_PracticeClass 5_Copy Data from Multiple Files to Multiple Tables using Dataset Parameters

Class 6:
 ADF_PracticeClass 6_Bulk Data Ingestion of Tables using Custom SQL Queries

Class 7:
 ADF_PracticeClass 7_GetMetaData Activity_Introduction

Class 8:
 ADF_PracticeClass 8_Bulk Data Ingestion of Multiple CSV Files To Multiple Tables

Class 9:
 ADF_PracticeClass 9_Bulk Data Ingestion of Multiple CSV Files To Multiple Tables Using Configuration File

Class 10:
 ADF_PracticeClass 10_Bulk Data Ingestion of Multiple Tables Using Configuration File

Class 11:
 ADF_PracticeClass 11_Copy Data from Nested JSON Document to Azure SQL Database

Class 12:
 ADF_PracticeClass 12_Reading Data from Single Excel Worksheet

Class 13:
 ADF_PracticeClass 13_Reading Data from Multiple Excel Worksheet Using Pipeline Parameter

Class 14:
 ADF_PracticeClass 14_Reading Data from Multiple Excel Sheets using Lookup Activity_Configuration File

Class 15:
 ADF_PracticeClass 15_Azure Key Vault Integration with ADF

Class 16:
 ADF_PracticeClass 16_Audit Log Implementation

Class 17:
 ADF_PracticeClass 17_Success Audit Log_Failure_Errors_Audit Log

Class 18:
 ADF_PracticeClass 18_Logic Apps_Email Notifications

Class 19:
 ADF_PracticeClass 19_Data Ingestion from On-premise File System To ADLS Gen2_Self Hosted IR

Class 20:
 ADF_PracticeClass 20_Copy Ingestion from On-premise SQL Server To ADLS Gen2_Self Hosted IR

Class 21:
 ADF_PracticeClass 21_Implementation of Delta Load Using WaterMark

Class 22:
 ADF_PracticeClass 22_Incrementallly Copy New Files_LastmodifiedDate

Class 23:
 ADF_PracticeClass 23_Reading Data from XML File to Azure SQL Database

Class 24:
 ADF_PracticeClass 24_DataFlows_Introduction

Class 25:
 ADF_PracticeClass 25_Dataflows_Filter Transformation

Class 26:
 ADF_PracticeClass 26_Dataflows_Filter_Conditional Split_Select_Derived Column Transformations

Class 27:
 ADF_PracticeClass 27_Dataflows_Aggregator_Transformation

Class 28:
 ADF_PracticeClass 28_Dataflows_Flatten_Transformation

Class 29:
 ADF_PracticeClass 29_Dataflows_Pivot_Transformation

Class 30:
 ADF_PracticeClass 30_RESTFul WebService Integration_Introduction

Class 31:
 ADF_PracticeClass 31_Storage Event Trigger

Class 32:
 ADF_PracticeClass 32_Schedule Trigger

Class 33:
 ADF_PracticeClass 33_Tumblng Window Trigger

Class 34:
 PracticeClass 34_Databricks Notebook_Integration with Azure Data Factory

Class 35:
 ADF_PracticeClass 35_SCD Type1 Dimension_Implementation

Class 36:
 ADF_PracticeClass 36_SCD Type2 Dimension_Implementation

Class 37:
 ADF_PracticeClass 37_Execute Copy Activity based on File Count in the Container

Class 38:
 ADF_PracticeClass 38_FilteringFileFormats_Getmetadata_Filter_ForEach_Copy_Activity

 

Faq’s

  • There is no specific technology background required.
Our Trainers have highly experience in Support, Implementation, and Rollout projects real-time solutions on different scenarios and experts in their professionals. BESTWAY Technologies verifies their technical background and experience.
We record each live class session you undergo through this training and we will share the recordings of each class.

Yes, we will schedule a demo class as per the student's convenient time by sharing live online streaming access either through Gotomeeting or Webex...

The trainer will provide detailed installation of required Software through Environment/Server Access to the students and we ensure practical real-time experience and training by providing all the utilities required for the in-depth understanding of the course. 

If you are enrolled in classes and you have paid fees, but want to cancel the registration for a certain reason, it can be done within 48 hours of initial registration. Please make a note that refunds will be processed within 25 days of prior request.

We are one of the best Azure Data Factory online training providers in the world, We have to learn Azure Data Factory customers from India, China, the USA, Malaysia, Singapore, France, Canada, UK, Ireland, Spain, UAE, Italy, Australia, Turkey, Sweden, New Zealand, Germany, Qatar, South Africa, Russian Federation, Saudi Arabia, Mexico, Denmark and other parts of the world. We are located in India. Offering Online Training in Cities like Hyderabad, Bangalore, Vijayawada, Delhi, Visakhapatnam, Mumbai, Ahmedabad, Chennai, Jaipur,  Pune, Kolkata, Agra, Patna, Lucknow, Kochi, Indore, Chandigarh, Bhopal, SÅ«rat, Kanpur, Coimbatore, Vadodara, Gurgaon, Guwahati, Ludhiana, Allahabad, Nagpur, Noida, Mysore, Ranchi, Bhubaneswar, Faridabad, Raipur, Vijayawada, Jamshedpur, Hubli, Tirupati, Guntur, Kakinada, Rajahmundry, Nellore, Anantapur, Eluru, Warangal, Secunderabad, Salem, Trivandrum, kerala, Hubli, Bellary, Gulbarga, Hospet, Tumkur, Thane, Navi Mumbai, Kalyan, Nashik, Aurangabad, Solapur, Gandhinagar, Pattaya, Phuket, Thailand, Taipei, Taiwan, Shenzhen, Hong Kong, Macau, Guangzhou, China, Tokyo, Yokohama, Nagoya, Fukuoka, Kobe, Copenhagen, Beijing, Osaka, Kyoto, Nairobi Kenya, Mombasa, Kisumu, Lagos Nigeria, Ibadan, Abuja, Benin, Sydney, New York, New jersey, Melbourne, Dallas, Adelaide, Perth, Brisbane, London, Paris, Berlin, Vienna, Barcelona, Rome, Madrid, Prague, Czech Republic, Shanghai, Seoul, South Korea, Hungary, Dhaka, Cairo, Mexico City, Sao Paulo,  Amsterdam, Netherlands, Munich, Milan, Bucharest, Istanbul, Moscow, Birmingham, Seattle, Baltimore, San Jose, San Marcos, Franklin, Chicago, Philadelphia, Jacksonville, Towson, Minneapolis, Los Angeles, Davidson, Murfreesboro, Houston, San Francisco, Tacoma, California, Atlanta, Alexandria, San Diego, Washington DC, Sunnyvale, Santa Clara, Carlsbad, St. Louis, Edison, Raleigh, Nashville, Bellevue, Austin, Charlotte, Garland, Raleigh-Cary, Boston, Salt Lake City, Orlando, Fort Lauderdale, Miami, Gilbert, Tempe, Chandler, Scottsdale, Peoria, Honolulu, Columbus, Plano, Toronto, Montreal, Calgary, Edmonton, Saint John, Vancouver, Richmond, Mississauga, Saskatoon, Kingston, Kelowna, Cape Town, Johannesburg, Durban, Mecca, Saudi Arabia, Dubbai, Abu Dhabi , Sharjah, Riyadh, Jeddah, Sanaa, Istanbul, Antalya, Turkey, Bangkok, Thailand, Aden, Yemen, Muscat Oman, Kuwait, Doha, Brisbane, Wellington, Auckland, Kuala Lumpur, George Town, Jurong East etc… Hyderabad - Ameerpet, SR Nagar, KPHB, Gachibowli, Dilsukhnagar, Madhapur, Tarnaka, Kukatpally, Himayat Nagar, Bangalore - Banashankari, Bannerghatta Road, Basaveswara Nagar, BTM Layout, Domlur, Electronic city, H S R Layout, Indira Nagar, J P Nagar, Jaya Nagar, K R Puram, Koramangala, Krishnarajapuram, Madivala, Malleswaram, Marathahalli, Mathikere, R T Nagar, Rajaji Nagar, Ramamurthy Nagar, Richmond Road, Shivaji Nagar, Vijaya Nagar, White Field

Yes, there are some group discount available if group contain more than two.

 

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Reviews

Azure Data Factory Rated 4.7 based on 3 reviews.

By: Utkarsh Mathur, Rating:
Azure Data Factory training is a great way to learn how to use this powerful data integration and orchestration tool. The training covers a wide range of topics, from the basics of Azure Data Factory to advanced concepts like data pipelines and data lakes. I highly recommend Azure Data Factory training to anyone who wants to learn how to use this essential tool for managing data in the cloud.

By: Dhruv Verma, Rating:
I took Azure Data Factory training a few months ago and I was really happy with it. The training was well-structured and comprehensive, and the instructor was very knowledgeable. I learned a lot about Azure Data Factory and I feel confident that I can use it to solve real-world data problems. I would definitely recommend Azure Data Factory training to anyone who is interested in learning this powerful tool.

By: Rajesh, Rating:
My self Rajesh, I recently completed Azure Data Factory training and I was very impressed with the content and the instructor. The training covered a wide range of topics, from the basics of Azure Data Factory to advanced concepts like data pipelines and data lakes. The instructor was very knowledgeable and experienced, and he did a great job of explaining the concepts in a clear and concise way. Overall, I highly recommend Azure Data Factory training to anyone who wants to learn.

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