Learning a skill when it is required the most has its advantage. As every organization is moving from in house premises to cloud and Microsoft Azure being the fastest growing cloud service provider. Keeping all this in mind this course is beautifully crafted by industry experts to give you a perfect blend of theoretical knowledge and hands on experience on Azure data engineering which will equip you with all the learning required to enter into the industry.
Introduction to Program
- Data Engineer helps stakeholder to understand the data through exploration, building and maintaining secure and compliant data processing pipelines by using different tools and techniques over the cloud. Cloud data platforms are rapidly growing across all industries.These platforms and applications have revolutionized the ways in which businesses function, and have made processes easier. While there are many cloud computing platforms available, three platforms dominate the cloud computing industry. Amazon Web Services (AWS), Microsoft Azure and Google cloud platform (GCP) are the three giants in the world of cloud computing. This Azure tutorial will help you understand the services offered by Azure like data factory, databricks, storage, cosmos DB and data warehouse, benefits of using Azure and its use cases, and various applications across industries.
- This program is specially designed to give a strong foundation to those who wants to learn Big Data Analytics on azure data platform. You will get a brief knowledge on Azure Databricks, Azure Cosmos DB, Azure Database, and Azure Stream Analytics. After completing this course, you will be able to collect, organize, extract unstructured data from large databases.
- Pre-Learning: Before you come in, get ready for the program. You will get a series of online recorded tutorials to understand the structure of Big Data.
- 70 Hours Program: Here, you will get Hands-on Experience on working on Azure Data Factory, Azure Synapse Analytics, Azure Database, Storage and Compute etc.
- Post Program: Learning does not stop here. After completing the Program, you will work on Project, Assignments. Doubt clearing is also provided. You will be working on any one capstone project from the list of few projects on your choice.
- Education – Graduate in Math, Science, Commerce, Statistics, Economics or Management
Prior Programming Knowledge is good to have.
What is this program all about?
This program is all about learning and performing cloud data engineering tasks such as provisioning data storage services, ingesting streaming and batch data, transforming data, implementing security requirements, implementing data retention policies, identifying performance bottlenecks, and accessing external data sources.
Is there any loan facility / sponsorships available?
- Yes, we have tie-up with one of the renowned financial institutions, so we can help you in getting education loans with 0% rate of interest. The approval is based on the income and occupation.
- EMI options are available based on Credit Cards upto 12 to 18 installments.
- Yes, we also guide candidates in getting sponsorships from their companies.
What is the system configuration required for the training?
- Own Laptop with configuration: At least 4 GB Ram, above or similar i3 processor.
Will I get recorded videos and study material during and after completion of the course?
- Yes, after each lecture, recorded videos of that lecture will be available to the LMS of each candidate which you can download.
- All the material that is required during the course will be provided to the candidates.
What is the refund policy?
Please refer to the link for Terms and Conditions
Azure Pricing [2 Hrs]
Security and Privacy [2 Hrs]
Application Services [2 Hrs]
Docket/Kubernetes [3 Hrs]
Storage and Compute [6 Hrs]
HDInsight [5 Hrs]
Azure Database [5 Hrs]
Azure Cosmos DB [10 Hrs]
Azure Synapse Analytics( formerly Azure SQL DW) [10 Hrs]
Azure Data Factory [10 Hrs]
Azure Stream Analytics [5 Hrs]
Azure Databricks [10 Hrs]
✔️ Cutting Edge Curriculum: Hand crafted Course content made by Experts from various Industries. Learn through Practical case studies and multiple projects.
✔️ Build Solid Foundation: 40 hours focused course on Big Data Framework.
✔️ On the Go Learning: Online accessible E-learning Material, recorded lectures, case studies and Research Paper through our system.
✔️ Industry Mentorship: Get 1 to 1 guidance from Industry expert and start your career in Data Science.
Skills you will possess post program
✔️ Data Engineering
✔️ Data Transformation
✔️ Computational Framework
✔️ Data Warehousing
✔️ Problem Solving
✔️ Datapipeline and ETL from various sources
✔️ Healthcare Data Analysis
✔️ Movielens Data Analysis