AWS Big Data Certification
This AWS Big Data Training Online has been designed and comprehended by our expert team in accordance with industry standards. This AWS Big Data Training provides you with the knowledge and skills required to build and deploy Big Data applications using AWS Cloud Services. This programme will help you understand all AWS big data concepts. Because AWS Big data Certification is inexpensive, many businesses have turned to AWS cloud services for their various needs, particularly in Big data environments. This is very popular among cloud service providers. This programme will teach you good practices and prepare you for any real-world situations that may arise.
Big Data with AWS Course Overview
Big data analytics is a popular programming model used to analyze large-scale data and extract useful information. AWS provides cloud services and the required infrastructure to deal with big data applications. Amazon big data analytics provides you with different technologies to handle a large amount of data. Learn about amazon's big data strategy. This AWS Big data certification training provides you with all the knowledge and skill required for you to clear the AWS Big data certification. In this program, you will learn how to deal with and solve real-time scenarios.
AWS Big Data Training Key Features
- Introduction to AWS Big data solutions
- AWS Big data technology fundamentals
- Learn in detail about big data AWS architecture
- Core concepts of Big data applications
- Guidance for AWS Big Data Certification
- Help you build AWS Big Data Developer Resume
- Guide you with important AWS big data interview questions
AWS Big Data Certification - Eligibility
AWS Big Data Training Online is beneficial for professionals in the Big data domain as it will be helpful for their career development. This course can also help individuals looking for a career in big data technologies on Amazon web services.
- Fundamentals of AWS Services
- Fundamentals of IAM
- AWS Web console
- Setting up AWS CLI
- Data Collection systems
- Availability and Durability of the data collection would optimize the operational characteristics of the storage solution.
- Data access and retrieval patterns
- Appropriate data structure and storage format
- Amazon S3 Standard for frequent data access
- Amazon S3 Standard for infrequent data access
- What are Big data Storage classes?
- S3 data stored geographically
- S3 Cross-region Replication
- S3 Lifecycle rules
- S3 pricing concerns
- S3 Security
- Hosting a Static Website on Amazon S3
- S3 Access Control
- IAM Roles for S3 Access
- Creating bucket policies
- S3 Data Management
- S3 Analytics
- AWS Database services
- Launching an RDS Aurora instance
- Connecting to RDS Aurora
- Backup and restore
- Securing RDS
- High-availability using Multi-AZ
- Read replicas
- Working with DynamoDB
- Features and usecases of DynamoDB
- Redshift Architecture
- Redshift Security
- Loading the data
- Query Design
- Table design
- Best practices
- Workload Management
- Restore and Snapshot
- Overview of Redshift Spectrum
- IAM Permissions for AWS Glue
- DNS in Your VPC
- Environment to Access Data Stores
- Environment for Development Endpoints
- AWS Glue Console Workflow Overview
- Populating AWS Glue Catalog
- Authorizing Jobs
- Running and Monitoring
- ETL Programming
- AWS Glue API
- AWS Big data Ecosystem
- EMR introduction
- EMR Architecture
- EMR Operation
- Spark on EMR
- Hadoop on EMR
- Kinesis streams
- Kinesis agent
- Kinesis Producers and consumers
- AWS Athena Overview and Setup
- Data Catalogues
- Integration with AWS Glue
- Securing Athena
- Working with Source Data
- Querying Data in Amazon Thena
- Querying Geospatial Data
- Security in Athena
- Handling Schema Updates
- Querying AWS Service Logs
- Integration with Redshift
- Best Practices
- Data visualization
- Design and architect the data processing solution
- Identify how to ensure data integrity
- Data security and encryption
- Data Pipeline
- Use cases
- Industry Best practices on Big Data
Top Hiring Company
Industry Trends
AWS Big Data Online Training FAQ’s:
AWS provides the infrastructure to run Big data applications. AWS is a cloud services provider.
AWS data analytics certification is provided by AWS. This is an online proctored exam, we have to schedule the exam timing and from where we are going to take it. We will guide and prepare you with all the knowledge and skill required to clear this exam.
The AWS big data specialty certification cost is 300 USD.
AWS certifications are valid for three years and then we have to go for recertification.
Big data is the reason for Amazon being the number one. It gathers all the data of customers visiting various websites and then with big data applications it sorts the data to get the required information. This is called amazon’s recommendation technology.
AWS big data specialty certification is for individuals performing complex big data analyses with at least two years of experience.
The average AWS Certified Big data developer pay starts from $98,319/yr.
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Live Instructor-led classes
We would like to create the best learning and interactive environment for our learners as part of their online learning experience.
Expert & Certified Trainers
We have one of the best faculty, with our trainers having substantial real-time industry experience. And are proactive in providing you the best information.
Flexible Schedule
Schedule your timings according to your convenience. No need to delay your daily work schedule.
Real-time Scenarios
Our learners are provided with real-time industry scenarios and also Industry-specific scenarios for practice and mock tests.
e-Learning Sessions
We provide our learners with online training videos and also have live training and practical sessions.
24/7 Support
We provide round-the-clock assistance and we are yearning to solve your queries with help of our expert trainers.
Why FolksIT
Extreme high-quality interactive training
Cutting-edge curriculum with job-ready training methodologies aligned with industry requirements.
Situational help and work assistance
Top-notch experts bring in the best practices and assignments, with live availability.
Learn & Practice on real-world problems.
Practice on real-world scenarios and data sets with hands-on experience.
A classroom like learning experience
Ultimate learning experience. Engaging, interactive, and communicative.
