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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.
In 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
Azure Cosmos DB uses Apache Spark, along with Jupyter Notebook, to reduce the time by gathering data and serving it. Further, it analyzes various copies of local databases in Azure regions.
You must enroll in our course for the reasons mentioned below:
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Azure Data Lake Storage
Azure Cosmos DB
Azure Blob Storage
Azure Synapse Analytics
Azure Stream Analytics
Azure SQL Database Auditing
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
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
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?
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
1. Design an Azure Database for MySQL database using the Azure portal
2. Connect using MySQL Workbench
4.4 Azure Database for PostgreSQL
1. Design an Azure Database for PostgreSQL – Single Server
4.5 Azure Database For MariaDB
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)?
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
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
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
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
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
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
1. Azure SQL Database Auditing
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This real-life-based project on YouTube requires the learners to fetch the list of videos from the dataset of YouTube channels with the highest views and likes to promote advertisements on the channel with maximum traffic.
The learners will practically work with Azure Data Factory, Data Lake, and SQL and create an automated solution that enables the organization to see a real-time dashboard of the lead count with Power BI Heat Map, Azure SQL, etc.
Get the real-time list of maximum traffic-fetching videos from YouTube channels. Automate the transformation of real-time video list on a weekly basis. The traffic can be analyzed on various parameters on a particular day.
This project checks the learners' knowledge of non-relational databases, categories, and where to use them. You will be working closely with NoSQL or Non-relational Database and Azure Data Lake Storage and its key components.
Copy data from Azure Blob Storage to Azure Data Lake Storage Gen2. Create an Azure Cosmos DB account and demonstrate adding and removing regions from one's database account. Use strategies to partition data and semantics in Cosmos DB.
This project includes relational databases, deployment models in Azure SQL, creation of an elastic pool, Azure SQL security capabilities, and importing data from Blob storage to Azure Synapse Analytics by using PolyBase.
This project will help the learners to successfully understand the working of Azure Batch, the flow process of Data Factory, the types of integration run time in Azure Data Factory, and transform data by mapping data flows.
In this project, the learners will be working on ETL by using Azure Databricks and Azure Stream Analytics windowing functions. This project will also familiarize the learners with the working of Azure Stream Analytics.
This project will give the learners an opportunity to create, view, and manage metric alerts by using Azure Monitor. The learners will use Azure SQL database auditing and implement Azure security logging and auditing.
Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!
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.
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.
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.
At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.
Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.
Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.
You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.
Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.
Apparently, no. Our job assistance program is aimed at helping you land in 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 decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.