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Our Azure Data Factory training in Hyderabad is an instructor-led program curated to equip you with the skills necessary to clear the DP-200 exam and become a certified Azure professional. The goal of our trainers is to help you learn how to use Data Factory via online video lectures and industry-specific projects.
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Our course aims to prepare you for the DP-200 certification exam and give you the ability to implement and design Azure data solutions. You will be capable of performing data management, security, and privacy, and more by using all the services available in Azure. You will also learn the following modules in this course:
Yes. You will learn Azure Databricks in this course. With the help of Azure Databricks, you will also be trained to work on the latest and most advanced Apache Spark version. This will allow you to integrate it with various open-source libraries. Moreover, you will be able to update the clusters easily in Apache Spark due to the scalability of Azure.
Here are the different ways to monitor and troubleshoot data pipelines in Azure Data Factory:
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| Method | Description |
| Visual monitoring in the Azure portal | This is the simplest way to monitor your data pipelines. You can see a graphical representation of the pipeline runs as well as metrics such as the number of successful and failed runs, the average run time, and the resources consumed. |
| Log monitoring | Azure Data Factory logs all activity, including pipeline runs, activities, and errors. You can use these logs to troubleshoot problems by identifying the root cause of the error. |
| Alerts | You can create alerts to be notified when a pipeline run fails or exceeds a certain threshold. This can help you quickly identify and address problems. |
| Azure Monitor | Azure Monitor is a cloud-based monitoring service that can be used to collect and store telemetry data from Azure Data Factory. You can use Azure Monitor to create dashboards and reports to visualize your data pipeline metrics. |
| Third-party monitoring tools | There are a number of third-party monitoring tools that can be used to monitor Azure Data Factory. These tools typically offer more features and flexibility than the built-in monitoring capabilities. |
With the help of Azure Stream Analytics, you will be capable of dealing with event-processing applications in real time by scaling them. It offers better performance via partitioning, allowing complex queries to be easily paralleled and run on various stream nodes.
Yes. This Azure Data Factory training in Hyderabad covers Azure SQL Database.
You must sign up for this course for the following reasons:
To enroll in this Microsoft Azure Data Factory certification course, you must have experience in data engineering by working with Azure Data Lake, Azure Stream Analytics, Azure Data Factory, Azure SQL Data Warehouse, etc.
The following professionals must enroll in this online course:
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NoSQL
Azure Data Lake Storage
Azure Cosmos DB
Azure Blob Storage
Azure SQL
MySQL
PolyBase
Azure Synapse Analytics
Azure Batch
.NET API
Azure Databricks
Azure Stream Analytics
Azure Monitor
Azure SQL Database Auditing
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1.1 Document data stores
1.2 Columnar data stores
1.3 Key/value data stores
1.4 Graph data stores
1.5 Time series data stores
1.6 Object data stores
1.7 External index
1.8 Why NoSQL or Non-Relational DB?
1.9 When to Choose NoSQL or Non-Relational DB?
1.10 Azure Data Lake Storage
2.1 Data Lake Key Concepts
2.2 Azure Cosmos DB
2.3 Why Azure Cosmos DB?
2.4 Azure Blob Storage
2.5 Why Azure Blob Storage?
2.6 Data Partitioning
2.7 Why Partitioning Data?
2.8 Consistency Levels in AzureCosmos DB
Hands-on:
1. Load Data fromAmazonS3 to ADLS Gen2 with Data Factory
2. Working with Azure Cosmos DB
3.1 Introduction to Relational Data Stores
3.2 Azure SQL Database
Hands-on:
1. Create a Single Database Using Azure Portal
2. Create a managed instance
3. Create an elastic pool
3.3 Why SQL Database Elastic Pool?
Hands-on:
1. Create a SQL virtual machine
2. Configure active geo-replication for Azure SQL Database in the Azure portal and initiate failover.
4.1 Azure SQL Security Capabilities
4.2 High-Availability and Azure SQL Database
4.3 Azure Database for MySQL
Hands-on:
1. Design an Azure Database for MySQL database using the Azure portal
2. Connect using MySQL Workbench
4.4 Azure Database for PostgreSQL
Hands-on:
1. Design an Azure Database for PostgreSQL – Single Server
4.5 Azure Database For MariaDB
Hands-on:
1. Create an Azure Database for MariaDB server by using the Azure portal
4.6 What is PolyBase?
4.7 What is Azure Synapse Analytics (formerly SQL DW)?
Hands-on:
1. Import Data From Blob Storage to Azure Synapse Analytics by Using PolyBase
5.1 What is Azure Batch?
5.2 Intrinsically Parallel Workloads
5.3 Tightly Coupled Workloads
5.4 Additional Batch Capabilities
5.5 Working of Azure Batch
Hands-on:
1. Run a batch job using Azure Portal
2. Parallel File Processing with Azure Bath using the .NET API
3. Render a Blender Scene using Batch Explorer
4. Parallel R Simulation with Azure Batch
6.1 Flow Process of Data Factory
6.2 Why Azure Data Factory
6.3 Integration Runtime in Azure Data Factory
6.4 Mapping Data Flows
Hands-on:
1. Transform data using Mapping data flows
7.1 What is Azure Databricks?
7.2 Azure Spark-based Analytics Platform
7.3 Apache Spark in Azure Databricks
Hands-on:
1. Run a Spark Job on Azure Databricks using the Azure portal
2. ETL Operation by using Azure Databricks
3. Stream data into Azure Databricks using Event Hubs
8.1 Working of Stream Analytics
8.2 Key capabilities and benefits
Hands-on:
1. Analyse phone call data with stream analytics and visualize results in Power BI dashboard
8.3 Stream Analytics Windowing Functions
9.1 What is Azure Monitor?
9.2 What data does Azure Monitor collect?
9.3 What can you Monitor?
9.4 Alerts in Azure
Hands-on:
1. Create, View, and Manage Metric alerts using Azure Monitor
2. Monitor your Azure Data Factory Pipelines proactively with Alerts
9.5 Azure Security Logging & Auditing
Hands-on:
1. Azure SQL Database Auditing
Microsoft Azure Data Factory Projects
Practice Essential Tools
Designed By Industry Experts
Get Real-world Experience
This Azure Data Factory course in Hyderabad is designed to clear the certification exam: DP-200. You will also receive the course completion certificate issued by Microsoft for Performing Big Data Engineering on Microsoft Cloud Services.
The course is in line with the above curriculums and helps you get the best jobs in top MNCs. As part of this Azure Data Factory training in Hyderabad, you will be working on real-time projects and assignments that have immense implications in real-world industry scenarios, thus helping you fast-track your career effortlessly. At the end of this training program, there will be a quiz that perfectly reflects the type of questions asked in the certification exam and helps you score better.
Intellipaat’s course completion certificate will be awarded upon the completion of the project work (after expert review) and scoring at least 60 percent marks on the quiz. This certification is well-recognized by top 80+ MNCs such as Ericsson, Cisco, Cognizant, Sony, Mu Sigma, Saint-Gobain, Standard Chartered, TCS, Genpact, Hexaware, etc.
Amazing course with excellent trainers! The online classes were scheduled as per the given plan, and the instructors made the classes entertaining and interactive & the topics were explained clearly.
I am satisfied with the courses available with Intellipaat. Live classes are one of the best, in my opinion. The trainers are very knowledgeable & guide you through the lessons to make sure you learn
I am really thankful and impressed with Intellipaat’s Azure Data factory lake certification program. The included projects and real world examples are great. Totally worth the money and time spent.
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Lead Recruiter at Accenture, India
The candidates from Intellipaat were very good. They are better than experienced people from the same domain. The learners had hands-on experience. The product managers were very happy with the job-ready recruits.
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Even freshers from Intellipaat are technically strong and have hands-on experience. During the interview, they were able to answer everything that was asked. Certification plays a crucial role to move forward any resume.
Our institute which is one of the best Azure Data Factory training institutes in Hyderabad’s program is in line with the Microsoft Azure DP 200 exam. This online training will equip you with the required skills to perform Big Data engineering on cloud services. Moreover, this training will help you work in the field of Azure administration and achieve the DP-200 certificate.
Yes, of course. Intellipaat has been serving Data Engineers across the city since 2011. You can be living in Ameerpet, Gachibowli, Dilsukhnagar, Madhapur, Kondapur, Uppal, Banjara Hills, Begumpet, Somajiguda, HITEC City, Secunderabad, Kukatpally or in any other locality in Hyderabad. You can start learning Azure Data Factory in Hyderabad and with our 24/7 support team.
If you are looking for some free resources on DP-200 in Hyderabad, then you can check out the following blogs:
Some of the other related Azure programs include:
Along with the Azure course, Intellipaat offers other courses, such as AWS, Azure, DevOps, AWS DevOps, Azure DevOps, GCP, and Blockchain.
Intellipaat offers query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail yourself of email support for all your queries. We can also arrange one-on-one sessions with our support team If your query does not get resolved through email. However, 1:1 session support is given for 6 months from the start date of your course.
Intellipaat provides placement assistance to all learners who have completed the training and moved to the placement pool after clearing the PRT (Placement Readiness Test). More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.
Apparently, no. Our job assistance is aimed at helping you land your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final hiring decision will always be based on your performance in the interview and the requirements of the recruiter.
