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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.
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.
Azure Cosmos DB makes use of Apache Spark and Jupyter Notebook to reduce the time by gathering and serving data, along with performing analysis on the several local database copies in Azure regions.
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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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 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.
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.
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.