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This Microsoft Azure Data Factory training will equip you with the skills to perform Big Data Engineering on Microsoft Cloud Services. You will learn how to connect Power BI with a data lake and how to use a data factory. This also covers real-time industry use cases and project work to give you hands-on experiences on using data factory and data lake and deploy the same in relevant software pipelines. Learn Azure data factory from the best Microsoft certified data factory experts.
This course will prepare you for exams DP-203 for implementing and designing Azure data solutions, enabling you to design and perform data management, monitoring, security and privacy using the complete Azure data services stack. Further, you will learn the below list of topics:
1. Implement Azure Data Solution (DP 203)
Using Azure Stream Analytics, you can manage real-time event processing applications by scaling it. It promotes greater performance through partitioning, so complicated queries can be parallelized and run on many stream nodes.
With Azure Databricks, you can get the most advanced version of Apache Spark, which will enable you to seamlessly integrate it with the open-sourced libraries. Also, with Azure’s inherent scalability that surpasses every other cloud services, you can easily update the clusters in the Apache Spark.
Azure Cosmos DB leverages the Jupyter notebooks and Apache Spark to reduce the time to insights by collecting and serving data and performing analysis on local database copies in Azure regions. In this DP-203 certification, you will cover this topic in detail.
Yes, Azure SQL Database is included in this DP-203 certification course.
This Microsoft Azure Data Factory certification is ideal for candidates who are looking to start their career or already working in the following roles:
Further, candidates who design analytics solutions and build operationalized solutions on Azure and who are familiar with the features and capabilities of batch data processing, real-time processing, and operationalization technologies, etc., can also opt for this Azure Data Engineering training course.
Relevant work experience in Data Engineering issues with Azure SQL Data Warehouse, Azure Data Lake, Azure Data Factory, and Azure Stream Analytics should be needed to sign up for this Azure Data Engineer certification training.
Azure data engineer enables companies to convert all their big data from storage systems, relational & non-relational databases into data-driven workflows. This helps them put up concrete strategies, accomplish goals, and improve the market value of the data they own! For this, they require certified professionals.
In the United States, the average salary for a newbie in this position is about US$85,000, and in India, it is around ₹700,000 (rough estimate). In addition, experienced candidates with recognized DP-203 certification can earn up to US$120,000 in the United States and up to ₹1,500,000 in India!
Today, every company is moving towards cloud computing to meet growing customer expectations and gain a competitive advantage. Microsoft Azure is growing at an unprecedented rate. Therefore, there is an urgent need for Azure certified management professionals.
Intellipaat Azure certification training (DP-203 certification) gives you hands-on experience using Azure services, storage, servers, and more. You will work on managing virtual machines, protecting and managing identities. After you get certified, you can apply for the best jobs at top salaries.
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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 course is designed to clear the following certifications:
You will also receive the course completion certificate by Microsoft for Performing Big Data Engineering on Microsoft Cloud Services.
The entire course is in line with the above curriculums and helps you get the best jobs in the top MNCs. As part of this training, you will be working on real-time projects and assignments that have immense implications in the 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 Course Completion Certificate will be awarded upon the completion of the project work (after the expert review) and upon scoring of at least 60% marks in the quiz. Intellipaat certification is well recognized in top 80+ MNCs like 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.
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.
Intellipaat is offering the Azure administration certification training that is in line with clearing the Microsoft Azure DP 203 certification exam. This training will equip you with all the skills needed to perform Big Data Engineering on Microsoft Cloud Services. This certification training will help you take on bigger responsibilities in the Azure administration domain, and get awarded with the DP-203 certificate.
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.
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