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The trainers of this Azure Data Factory training in Bangalore have designed this course in line with the DP-200 examination. They aim to teach you all the necessary topics and concepts through online lectures, assignments, and projects, which will help you clear the certification exam easily.
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Course PreviewIn this Microsoft Azure Data Factory training in Bangalore, you will gain in-depth knowledge and attain all the skills in Azure and its technologies, such as Azure SQL Data Warehouse, Azure Data Factory, and more.
This Azure training will help you prepare for the DP-200 certification exam by helping you master the skills to create and use Azure data solutions. With the help of this course, you will be skilled to perform data management, ensure security, etc., using the services available in Azure. Further, you will master the following modules:
The professionals listed below are eligible to take up this course:
Yes. Our Azure Data Factory training in Bangalore will make you master Databricks. Our trainers will ensure your ability to work on the advanced version of Apache Spark, allowing you to integrate it with numerous open-source libraries. You will also be capable of updating the clusters in Apache Spark.
You should have experience in the field of Data Engineering while dealing with Azure Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Azure Stream Analytics, etc.
You must learn Azure Stream Analytics because it will allow you to scale event-processing applications in real time. It also provides better performance through partitioning, making it easy for complex queries to run on numerous stream nodes.
Yes. Our online Microsoft Azure Data Factory certification course includes Azure SQL Database
Here are the different ways to organize data pipelines in Azure Data Factory:
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Way of Orchestration | Description |
Triggered pipelines | Pipelines that are triggered by a specific event, such as a change in a data source or a schedule |
Manually triggered pipelines | Pipelines that are triggered by a user manually, such as through the Azure portal or the Azure Data Factory SDK |
Pipeline dependencies | Pipelines that depend on the successful completion of other pipelines
This can be used to create complex workflows that involve multiple steps. |
Control flow activities | Activities that allow you to control the flow of a pipeline, such as conditional looping and branching. |
Azure Data Factory SDK | A set of APIs that allow you to programmatically create, manage, and monitor Azure Data Factory pipelines. |
You must enroll in our course for the reasons mentioned below:
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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
$316
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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
This Azure Data Factory course in Bangalore 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 Bangalore, 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.
Land Your Dream Job Like Our Alumni
Yes. We offer various courses related to the DP-200 certification, including the ones listed below:
This program, one of the top Azure Data Factory training institutes in Bangalore is in line with the Azure DP 200 certification exam. This program will help you gain proficiency in the required skills for you to perform Big Data engineering on various cloud services. We will also assist you in clearing the DP-200 exam and land a lucrative job.
You can read the following blogs to learn more about Azure:
Yes, of course. Intellipaat has been serving Data Engineers across Bangalore since 2011. You can be living in Marathahalli, HSR Layout, Indira Nagar, Electronic City, Richmond Town, Hebbal, Koramangala, BTM Layout, Jayanagar, Sarjapur, Vijaynagar, Whitefield, Bellandur, Rajajinagar or in any other locality in Bengaluru. You can start learning Azure Data Factory in Bangalore and with our 24/7 support team.
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.
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.