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aws big data certification

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aws big data certification

AWS Big Data Certification

PrologInfo offers an AWS Big Data Course that helps in gaining basic knowledge in managing and designing big data solutions on the AWS platform by using real-time examples. During the AWS Big Data Training Online, you will learn about the fundamentals of big data and amazon web services, structured and unstructured data, introduction to cloud computing, data storage, data analysis, and many more. You will also provide an opportunity to work on several projects that are based on real-time projects and case studies in our training institute which will allow you to become a certified AWS Big data developer and is also beneficial for your career growth in the future.

Course Overview

This AWS BigData online course also covers core concepts about big data, how to handle big data issues, fundamentals of big data, cluster management, big data applications in the real world, and many more topics.  When you will complete this online course successfully, our training institute provides AWS Big Data Certification that helps in getting a job easily in the best company with exciting packages. The main purpose of our online training course is to provide the best quality training which covers several important technical skills or topics or core concepts with practical knowledge.

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 session

Overview of Big Data with AWS

The AWS Big Data Online course is suitable for those experienced professionals who are looking for certification in Big data technologies on Amazon Web Services. It is also suitable for those individuals who want to learn about AWS with big data.

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Course curriculum / Syllabus

Introduction to big data and Data collection
  • Why big data on AWS?
  • Several big data tools available in AWS
  • An overview of AWS Kinesis
  • AWS Kinesis Components
  • Amazon SQS
  • Features of AWS Kinesis
  • AWS Data Pipeline
Description of AWS and Cloud Computing
  • Introduction to cloud computing
  • What is auto-scaling
  • Several cloud computing products are provided by AWS.
  • Cloud Service and Deployment Models
  • AWS Management Console AWS virtualization, and AWS architecture
Data Analysis
  • Data Warehouse System Architecture
  • Designing tables
  • Redshift concepts
  • Amazon Machine Learning
  • An overview of Amazon Athena
  • Introduction to Amazon Redshift
  • How to load data to Redshift
  • Redshift Workload Management
  • Basic concepts of Amazon Elasticsearch Service
  • Different features of Amazon Elasticsearch Service
Data Processing
  • Apache Hadoop
  • AWS Lambda for Big Data Ecosystem
  • Amazon EMR (Elastic MapReduce)
  • Spark with EMR
Elastic Compute and Storage Volumes
  • An overview of EBS (Elastic Book Store)
  • EBS volume types
  • Introduction to EFS (Elastic File System)
  • Pricing and Design Pattern
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
Data Storage
  • An overview of Amazon DynamoDB
  • Work of DynamoDB
  • DynamoDB Tables and Items
  • Dynamo Backup and Restore
  • DynamoDB Indexes
  • DynamoDB Replication and Streams
  • What is RDS (Relational Database Service)
  • Basic concepts of RDS
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.

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Why PROLOG INFO

Best Virtual training classrooms for IT aspirants

Real time curriculum with job oriented training.

Around the clock assistance

We are eager to solve your queries 24*7 with help of our expert faculty.

Flexible Timings

Choose your schedule as per your convenience. No need to delay your work

Mock projects

Real world project samples for practical sessions

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