The “AWS Certified Big Data” course provides a comprehensive understanding of big data concepts and proficiency in AWS big data services. Gain practical skills through hands-on labs and real-world use cases. Prepare for the AWS Certified Big Data – Specialty certification, enhancing career prospects. Stay up-to-date with AWS advancements and benefit from networking opportunities in the field of big data.
Comprehensive Understanding of Big Data: Gain a thorough understanding of big data concepts, including volume, velocity, variety, and veracity, enabling you to navigate the complexities of working with large datasets.
Proficiency in AWS Big Data Services: Develop expertise in utilizing AWS services specifically designed for big data processing and analysis, such as Amazon S3, Amazon EMR, Amazon Redshift, and Amazon Athena, enhancing your ability to leverage the power of these services for data-related tasks.
Practical Skills and Hands-on Experience: Engage in hands-on labs and real-world use cases, providing you with practical experience in ingesting, transforming, processing, storing, and analyzing large datasets using AWS big data services. These practical skills enhance your ability to effectively work with real-world big data scenarios.
Enhanced Career Prospects: The AWS Certified Big Data certification is highly recognized in the industry, opening up new career opportunities in the field of big data management and analytics. Completing this course and obtaining the certification increases your marketability and showcases your proficiency in AWS big data solutions.
Real-world Use Cases and Best Practices: Learn from real-world use cases and industry best practices, gaining insights into how big data solutions are implemented in various domains. This knowledge equips you with valuable strategies and approaches to tackle big data challenges effectively.
Preparation for Certification: The course thoroughly prepares you for the AWS Certified Big Data – Specialty certification exam. You will acquire the knowledge and skills necessary to confidently pass the exam, validating your expertise in AWS big data solutions and boosting your professional credentials.
Stay Up-to-date with AWS: AWS is continuously evolving, introducing new services and features. This course ensures you stay up-to-date with the latest advancements in AWS big data services, allowing you to leverage the most recent tools and capabilities in your data-related projects.
Networking and Collaboration Opportunities: Connect with fellow participants and professionals in the big data field, expanding your network and gaining access to valuable resources for ongoing learning, collaboration, and career growth.
This course covers topics such as big data concepts, AWS big data services (S3, EMR, Redshift, Athena), data ingestion and transformation, data processing and analytics, data storage and management, and preparation for the AWS Certified Big Data – Specialty exam.
Diana’s AWS Training Program covers a comprehensive range of AWS courses, including AWS Cloud Fundamentals, core AWS services, security and compliance, architectural best practices, cost optimization strategies, and managing and operating AWS environments. Gain practical skills in AWS implementation, resource provisioning, monitoring, troubleshooting, and automation to prepare for diverse career opportunities in the AWS ecosystem.
Upon completion of the course,
students will receive the AWS Certified Big Data Certification, which is recognized by employers worldwide.
The course focuses on practical
skills and real-world scenarios, providing students with the
knowledge and experience they
need to excel in a career in IT support
The course offers a high-quality
education at an affordable price,
making it accessible to individuals
who may not have the resources
to pursue more expensive
certification programs.
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July 11 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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July 17 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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July 24 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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Date
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Schedule
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July 11 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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July 17 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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July 24 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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An online course degree is similar to taking a degree program on campus. Attending a live instructional course will be similar to attending a lecture but in the comfort of your location. Our Academy and your course instructor will determine the format for each course and will select the best-suited curriculum and projects for your course or program.
You will need a computer, a high-speed Internet connection, a newer version of a web browser, and access to common tools and software like word processors, email, etc. Some courses may have other software or technology requirements as well. If there are special labs included all you need is to follow your trainer’s instruction to log in to our virtual labs.
We are yet to introduce courses with Self-paced learning means you can learn in your own time and schedule. There is no need to complete the assignments and take the courses at the same time as other learners. The reason why we are choosing live instructional training over self-paced is the alignment of our students to complete and get their certifications on time for their placements or project placements at their respective organizations.
The courses are detailed in the course offerings under “Our Courses” For further information, please contact DIANA ACADEMY for Online Learning.
Online learning is not only more effective for students, but it is also better for the environment. Online courses consume 90% less energy and release 85% less CO2 per student than traditional in-person courses, according to the Open University in the United Kingdom. Online learning and multimedia material become more effective instructional tools as a result of this. Individuals and businesses can profit from helping the environment and sticking to their own environmental goals by encouraging and engaging with this form of learning.
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Date
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Enroll Now
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July 11 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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July 17 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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July 24 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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Date
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Schedule
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Time
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Enroll Now
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July 11 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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July 17 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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July 24 2023
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Sat. and Sun (6 weeks)
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8 PM to 10:30 PM IST
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