AWS Big Data Certification

Course Overview

AWS provides the infrastructure and tools for your next big data project. AWS Big data analytics solutions are specifically designed to control the growing amount of data and provide insight into your businesses. Our big data experts are always eager to solve your queries and enhance your understanding of AWS Big Data processing.

In this AWS Big data training program, you will learn about data analysis, data visualization, Amazon machine language (AML), Amazon DynamoDB, kinesis, and many more key concepts. Our AWS big data tutorial covers all the aspects from basic level to advance level. By the end of the course, you will be equipped with all the skill sets required to handle real-time issues and make you a pro in AWS big data.

AWS Big Data Certification Key Features

Fundamentals of AWS Big Data
Understanding AWS Big Data architecture
Core concepts of AWS Big Data processing
Provide you with important AWS Big Data interview questions
Building a good AWS Big Data resume
Schedule your timings according to your convenience
One on One sessions

Overview of Big Data with AWS

This course benefits solutions architects, SysOps administrators, data scientists, and data analysts who either want to upskill or shift to the AWS Big Data domain. Freshers who want to pursue a career in the Big Data domain can also opt. And professionals seeking AWS Big Data certification to advance their career.

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Industry Trends

Course curriculum / Syllabus

The basics of AWS services

IAM basics
Using AWS Web Console
Understanding AWS CLI Configuration

Big Data Ecosystem in AWS

Using Data Collection Systems
Availability and durability of data collection optimises the usability characteristics of the data storage solution.
Data access and data discovery models
Appropriate data storage structure and format

S3 and data lake

Amazon S3 template for frequent data access
Amazon S3 template for infrequent data access
Which classes can store large amounts of data?
S3 data stored geographically
Copying S3 between regions
What is S3 lifecycle rules?
What is S3 pricing?
Security in S3
Hosting static sites on Amazon S3
Access Control S3
IAM roles for S3 access
Highway Policy Implementation
S3 Data Management
S3 Analysis

AWS databases: RDS and DynamoDB

AWS database services
Launching an Aurora RDS instance
Connecting to Aurora RDS
Creating and restoring a backup
How to use RDS security?
High availability with Multi-AZ
How to Read copies?
Working with DynamoDB
DynamoDB features and use cases

Amazon Redshift

Understanding Redshift architecture
Understanding Redshift security
Uploading data
Using Query design
Using Table design
Best practices
Workload management
Update and snapshot
Redshift spectrum overview

ETL with AWS Glue

AWS Glue IAM Editions
Using DNS for your VPC
Data storage access environment
What is Endpoint Deployment Environment
Workflow overview in the AWS Glue console
Using Filling the AWS Glue directory
Validate jobs
How to Run and Track in AWS?
What is ETL Scheduling?
Using AWS Glue API

Data processing using EMR and Kinesis

AWS Big Data Ecosystem
EMR deployment
EMR architecture
How EMR works
Using Spark on EMR
Using Hadoop EMR
Using Kinesis flows
Using Kinesis Agent
Using Kinesis producers and users

Issues with Amazon Athena

AWS Athena Overview and Configuration
Understanding Data directories
Integration with AWS Glue
What is Athena Security?
Working with source data
Data search in Amazon Athena
Geographic information search
Athena Security
Managing plan updates
Searching AWS service logs
Integration with Redshift
Best practices

All together

Understanding Data visualisation
Design and architecture of a data processing solution
Determining how to ensure data integrity
What is Data security and encryption?
What is Data transmission?
Exploring Used cases
Best practices in the big data industry

aws big data certification FAQ’s:

1.What is big data?

Big data is combination of structured, semi-structured and unstructured data collected from various sources by the organizations that can be mined for information and use in predictive modeling, machine learning projects, and other advanced analytics application.

2.How do I get AWS Big Data analytics certification?

The Amazon Work Spaces provides AWS certified data analytics certification for big data. Once you decide on the type of certification we can customize your training accordingly. It is proctored exam taken at testing center.

3.What is cost of AWS Big Data certification?

AWS Big data specialist exam cost is 300 USD.

4.What is format of the exam?

The format of the exam is multiple choice, multiple answers.

5.What is duration of the exam?

AWS Big Data exam duration is 170 mins.

6.What if I miss the class?

We would provide you with recording of the session, and also eLearning material for self-study.

7.Do you provide job assistance?

Yes, we do provide job assistance, and also prepare you for the interview.