Azure Data Factory Course

Are you prepared to take advantage of Azure Data Factory’s capabilities? If you are looking for complete, hands-on training, your best bet is BITA Academy’s Azure Data Factory Course, the central location for such training. By participating in our courses, which experts conduct, you will acquire the knowledge and skills necessary to flourish in this rapidly evolving industry.

Our Azure Data Factory course at BITA Academy is intended to offer you a complete overview of this powerful data integration solution. For more information, please visit our website. Our training program will teach you everything you need to know to be successful in this industry, regardless of whether you are just starting with Azure Data Factory or are looking to expand your knowledge.

What is Azure Data Factory?

Azure Data Factory is a data integration service hosted in the cloud that allows users to develop, schedule, and orchestrate data workflows on massive scales. It will enable you to load data into data lakes, warehouses, and other destinations and modify the data you have ingested from various sources. By utilizing the Azure Data Factory course, you can effectively manage and monitor your data pipelines, guaranteeing a timely and dependable data supply throughout your organization.

Roles and Responsibilities in Azure Data Factory

In the modern world, which is driven by data, individuals knowledgeable about Azure Data Factory play an essential role in helping enterprises harness the power of their data collection. As a certified Azure Data Factory professional, you will be accountable for developing, implementing, and managing data integration solutions that use Azure Data Factory. Among your responsibilities may be the following:

• Working together with many stakeholders to gain an understanding of the requirements for data integration
• Adapting the design and development of data pipelines to the requirements of the business
• Maintaining the integrity and dependability of the data through stringent testing and validation activities
• To improve both performance and efficiency, monitoring and optimizing data pipelines
• The provision of continuous support and maintenance for data integration solutions
• Opportunities for Employment in the Azure Data Factory

Syllabus of Azure Data Factory

PART 1 : Course Objectives

• Gain a strong understanding of Azure data engineering concepts and services.
• Master the functionalities of Azure Data Factory (ADF) for data integration and orchestration.
• Become proficient in using Apache Spark on Azure Databricks for data processing and analytics.
• Design and implement real-world data pipelines using ADF and Databricks.

PART 2 : Introduction to Azure Data Engineering

• Introduction to data engineering and its role in big data analytics.
• Overview of the Azure data platform and its core services.
• Understanding the data lifecycle: ingest, store, process, analyze, and govern.
• Hands-on Lab: Setting up an Azure environment and deploying basic resources.

PART 3 : Azure Data Factory (ADF) Deep Dive

• Introduction to ADF and its key components: data flows, pipelines, triggers, and activities.
• Building data pipelines with ADF: data extraction, transformation, and loading (ETL) processes.
• Using data flows for data wrangling and transformation.
• Connecting to various data sources and sinks with ADF connectors.
• Scheduling and orchestrating data pipelines with triggers and monitoring pipelines.
• Hands-on Labs:
  • Creating data flows to clean and transform data.
  • Building and scheduling ETL pipelines using ADF activities.

PART 4 : Apache Spark on Azure Databricks

• Introduction to Apache Spark and its core concepts: RDDs, DataFrames, and Datasets.
• Setting up an Azure Databricks workspace and working with notebooks.
• Data manipulation with Spark DataFrames: exploring, filtering, aggregating, and transforming data.
• Introduction to Spark SQL for querying structured data using SQL syntax.
• Working with large datasets efficiently using Spark’s distributed processing capabilities.
• Hands-on Labs:
• Performing data manipulations using Spark DataFrames and Spark SQL.
• Building and executing Spark jobs in Azure Databricks notebooks.

PART 5 : Putting it Together: Advanced Data Engineering with ADF & Databricks 

• Designing and implementing real-world data pipelines using a combination of ADF and Databricks.
• Integrating ADF with Databricks for triggering Spark jobs within data pipelines.
• Handling large datasets and complex transformations using Spark on Databricks.
• Best practices for data engineering on Azure: security, performance optimization, and data lineage.
• Hands-on Lab: Building a complete data pipeline involving data extraction with ADF, transformation with Databricks, and data loading into a data warehouse.

PART 6 : Wrap-up and Next Steps 

• Course review and key takeaways.
• Exploring additional Azure data services and tools for data engineering.
• Preparing for Azure Data Engineer certification (optional).
• Q&A and discussion.

Azure Data Factory Certification Training

Obtaining a certification in Azure Data Factory from BITA Academy has various advantages. With a recognized certification in Azure Data Factory, you may distinguish yourself in the highly competitive job market and open up new professional options for yourself. Acquire recognition from industry leaders and employers as a qualified and proficient Azure Data Factory professional. This recognition will be earned through industry recognition. Continuous learning allows you to stay ahead of the curve by providing access to ongoing training and tools that guarantee your skills will remain sharp and current. Now is the time to enrol in the Azure Data Factory course and become an expert. 

• Azure Data Factory Certification

Job Opportunities in Azure Data Factory

As a result of the increasing demand for individuals skilled in data integration, there is an abundance of career possibilities available for experts in Azure Data Factory. The following are some of the fascinating opportunities that can be opened up to you if you have a certification in Azure Data Factory, regardless of whether you are just beginning your career or are trying to advance to the next level. There is a range of salaries for employees working in Azure Data Factory in India, ranging from ₹16.0 lakhs to ₹44.8 lakhs, with the average income being ₹21.2 lakhs. With Azure Data Factory, are you prepared to take your professional life to new heights? Join the ranks of accomplished data integration specialists worldwide by enrolling in the Azure Data Factory course now being offered. 

The following are some of the job positions in Azure Data Factory:

• Data Engineer
• ETL Developer
• Data Integration Specialist
• Business Intelligence Analyst
• Cloud Solutions Architect

Why should you select us?

• Our training sessions are designed to be as hands-on and practical as possible, ensuring you will get experience working with Azure data factory in the real world.
• Our trainers’ teaching skills are excellent, and very polite when clearing doubts.
• Suppose you are a graduate of the BITA Academy. In that case, you will have access to continuous support and tools that will assist you in keeping up with the most recent developments in the Azure data factory.
• Students will be able to learn from seasoned business professionals who bring years of expertise and insights to the classroom.
• We conduct mock tests that will be useful for your Azure data factory interview preparation.
• We know the IT market, and our Azure data factory course content aligns with the latest trends.