Data Engineering on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using AWS Databricks, Data Factory in AWS. This course demonstrates how to collect, store, and prepare data for the data analytics by using other AWS services such as AWS CosmosDB, AWS Stream Analytics, AWS Synapse Analytics, and AWS Blob Storage. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data.
This course will be delivered through a mix of Instructor-led Training (ILT) and hands-on Labs. This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.
EkasCloud provides flexible training to all it's student. Here is our training schedule. Incase you find these timings difficult, please let us know. We will try to arrange appropriate timings based on your Convenience.
| 24-04-2024 | Wednesday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 26-04-2024 | Friday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 28-04-2024 | Sunday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
| 29-04-2024 | Monday (Monday - Friday) Weekdays Regular | 08:00 AM (IST) (Class 1Hr - 1:30Hrs) / Per Session |
Data Engineering on AWS introduces you to concepts, strategies, and best practices for designing a cloud-based data warehousing solution using AWS Databricks, Data Factory in AWS. This course demonstrates how to collect, store, and prepare data for the data analytics by using other AWS services such as AWS CosmosDB, AWS Stream Analytics, AWS Synapse Analytics, and AWS Blob Storage. Additionally, this course demonstrates how to use business intelligence tools to perform analysis on your data.
This course will be delivered through a mix of Instructor-led Training (ILT) and hands-on Labs. This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.
Choosing the AWS Data Analytics training is an assurance to stand among the handpicked and best set of professionals in the domain.
WHO CAN JOIN
AWS Data Analytics is sure to benefit a diversified range of patrons whether a Software Engineer, Project Manager, System Administrator, Developer, Database Admin, data warehouse technician, IoT developer, AWS Data Analytics, and AI Developer or computer science student.
This AWS Data Analytics course is thoughtfully designed to allow learners with and without a programming background to transition into the Big Data industry with the correct skill-set.
BENEFITS
BEST FOR YOU
3 months Course includes Theory, Lab, Daily Homework, Real-time Projects, Mock Exams and Mock Interview
Topics Covered
Vijilin Jerrish
jerrish has a Bachelors degree in Computer Science, He is based out of India and had trained more than 8000 students in last 9years on Networking, Linux, Automation and Cloud Technologies.
Jerrish is RHCSA, Ansible, AWS Solutions Architect Pro, Terraform and Kubernetes Certified
Q: What if I miss a class?
A: We will stop the course for you because it is one-to-one or one-to-two students only.
Q: What if I am not an Engineer/Programmer, can I still do the Azure Data Analytics course?
A: Azure Data Analytics is not a separate domain, but a tool/technology which can be used in any domain. Our course is designed to address the needs of non-programmers and candidates who have no IT knowledge as well. Anyone who has an interest in Azure Data Analytics can take up this course.
Q: Will I get placement assistance?
A: Yes. you will get it, once you finish the course.
Q: What if I have queries after I complete this course?
A: You can check our blog, or send your queries from social media like Facebook, Linkedin, Instagram, Twitter, and Youtube.
Q: How soon after signing up will I get access to the course?
A: Once you join the course, our Counselor Manager book a slot with our Trainer based on your and Trainer's available time.
Q: Is the course material accessible to the students even after the course training is over?
A: Yes, you can access our course material. Not only material you can watch short and sweet videos from our Youtube Channel.
Q: What is the average salary of an Azure Data Analytics professional?
A: $429,868
