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AWS Big Data Certification Course for DAS-C01

4.8 (510 Ratings)

This AWS Big Data certification course will help you gain in-depth knowledge of AWS Big Data concepts, such as AWS IoT (Internet of Things), Kinesis, Amazon DynamoDB, Amazon Machine Learning (AML), data analysis, data processing technologies, data visualization, and more. Through this AWS Big Data training, you will be able to clear the AWS Certified Data Analytics - Specialty exam, DAS-C01.

Key Highlights

32 Hrs Instructor Led Training
24 Hrs Self-paced Videos
40 Hrs Project & Exercises
Certification
Job Assistance
Flexible Schedule
Lifetime Free Upgrade
Mentor Support

AWS Big Data Certification Training Overview

What will you cover in this AWS Big Data training?

In this course, you will learn the following AWS and Big Data topics:

  • AWS IoT
  • Kinesis
  • AWS Snowmobile and AWS Snowball
  • Amazon Simple Storage Service (S3)
  • Processing
  • Lambda and AWS data pipeline
  • Big Data concepts and tools
  • Elasticsearch, Athena, and Redshift
  • Data visualization

To take up this course, you need to have some basic knowledge of Big Data. You also need to understand the working of Big Data on AWS, i.e., using Amazon Web Services solutions for handling Big Data.

Professionals who can take up this course include:

  • SysOps Administrators
  • Solutions Architects
  • Data Analysts
  • Data Scientists

The cost of the AWS Certified Data Analytics – Specialty (DAS-C01) exam is US$300. Also, the exam duration of DAS-C01 is 170 minutes. To test your skills, you can take the practice exam, which costs US$40.

If you sign up for Intellipaat’s AWS Big Data certification course program, you can easily pass this exam!

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Career Transition

59% Average Salary Hike

$1,08,000 Highest Salary

700+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

Course Fees

Self Paced Training

  • 24 Hrs e-learning videos
  • Flexible Schedule
  • Lifetime Free Upgrade

$527

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 32 Hrs of Instructor-led Training
  • One to one doubt resolution sessions
  • Attended as many batches as you want for Lifetime
  • Job Assistance
04 Dec

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

12 Dec

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

18 Dec

SAT - SUN

08:00 PM TO 11:00 PM IST (GMT +5:30)

$702 10% OFF Expires in

Corporate Training

  • Customized Learning
  • Enterprise grade learning management system (LMS)
  • 24x7 Support
  • Enterprise grade reporting

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AWS Big Data Course Curriculum

Live Course

Introduction to Big Data and Data Collection

Preview
  • Introduction to Big Data
  • Big Data tools available in AWS
  • Why Big Data on AWS?
  • What is AWS Kinesis?
  • How Kinesis works?
  • Features of AWS Kinesis
  • AWS Kinesis Components
  • Kinesis Data Streams
  • Enhanced Fan-Out in AWS Kinesis
  • Kinesis Data Firehose
  • Amazon SQS
  • AWS Data Pipeline

Hands-on Exercise:

Creating, Deleting, Managing an AWS Kinesis Stream.

Introduction to Cloud Computing & AWS

Preview
  • What is Cloud Computing
  • Cloud Service & Deployment Models
  • How AWS is the leader in the cloud domain
  • Various cloud computing products offered by AWS
  • Introduction to AWS S3, EC2, VPC, EBS, ELB, AMI
  • AWS architecture and the AWS Management Console, virtualization in AWS (Xen hypervisor)
  • What is auto-scaling
  • AWS EC2 best practices and cost involved.

Hands-on Exercise – Setting up of AWS account, how to launch an EC2 instance, the process of hosting a website and launching a Linux Virtual Machine using an AWS EC2 instance.

  • Introduction to EC2
  • Regions & Availability Zones(AZs)
  • Pre-EC2, EC2 instance types
  • Comparing Public IP and Elastic IP
  • Demonstrating how to launch an AWS EC2 instance
  • Introduction to AMIs, Creating and Copying an AMI
  • Introduction to EBS
  • EBS volume types
  • EBS Snapshots
  • Introduction to EFS
  • Instance tenancy- Reserved and Spot instances
  • Pricing and Design Patterns.

Hands-on Exercise –

  • Launching an EC2 instance
  • Creating an AMI of the launched instance
  • Copying the AMI to another region
  • Creating an EBS volume
  • Attaching the EBS volume with an instance
  • Taking backup of an EBS volume
  • Creating an EFS volume and mounting the EFS volume to two instances.
  • What is Amazon VPC,
  • VPC as a networking layer for EC2,
  • IP address and CIDR notations,
  • Components of VPC – network interfaces, route tables, internet gateway, NAT,
  • Security in VPC – security groups and NACL, types of VPC, what is a subnet, VPC peering with scenarios, VPC endpoints, VPC pricing and design patterns.

Hands-on Exercise –

  • Creating a VPC and subnets,
  • Creating a 3 Tier architecture with security groups,
  • NACL, Internet gateway and NAT gateway,
  • Creating a complete VPC architecture.
  • Introduction to AWS storage
  • Pre-S3 – online cloud storage
  • API, S3 consistency models
  • Storage hierarchy, buckets in S3
  • Objects in S3, metadata and storage classes, object versioning, object lifecycle management, cross-region replication, data encryption, connecting using VPC endpoint, S3 pricing.

Hands-on Exercise –

  • Creating an S3 bucket
  • Uploading objects to the S3 bucket
  • Enabling object versioning in the S3 bucket
  • Setting up lifecycle management for only a few objects
  • Setting up lifecycle management for all objects with the same tag
  • Static website hosting using S3.
  • What is a database, types of databases, databases on AWS
  • Introduction to Amazon RDS
  • Multi-AZ deployments, features of RDS
  • Read replicas in RDS, reserved DB instances
  • RDS pricing and design patterns
  • Introduction to Amazon Aurora, benefits of Aurora, Aurora pricing and design patterns
  • Introduction to DynamoDB, components of DynamoDB, DynamoDB pricing and design patterns
  • What is Amazon Redshift, advantages of Redshift
  • What is ElastiCache, why ElastiCache.

Hands-on Exercise –

  • Launching a MySQL RDS instance
  • Modifying an RDS instance
  • Connecting to the DB instance from your machine
  • Creating a multi-az deployment
  • Create an Aurora DB cluster
  • Creating an Aurora replica
  • Creating a DynamoDB table.
  • What is S3 Glacier?
  • Accessing Amazon S3 Glacier
  • Glacier Vaults
  • Glacier Archives
  • What is Amazon DynamoDB?
  • How does DynamoDB work?
  • Accessing DynamoDB through Portal and CLI
  • DynamoDB Tables and Items
  • DynamoDB Indexes
  • DynamoDB Streams and Replication
  • Dynamo Backup and Restore
  • DynamoDB Best Practices
  • Introduction to RDS
  • Basics of RDS

Hands-on Exercise:

Creating a table and loading data, Replicating data to another table and backing up, Creating a MySQL database.

  • Amazon EMR
  • Apache Hadoop
  • Hue with EMR
  • HBase with EMR
  • Spark with EMR
  • AWS Lambda for Big Data Ecosystem
  • Hcatalog
  • Glue
  • Glue Lab

Hands-on Exercise:

EMR Cluster creation, Adding steps to EMR, Using Hue with EMR, Using HBase with EMR, Using Spark with EMR, Using HCatalog with Hive on EMR, Using Glue.

  • What is Amazon Redshift?
  • Data Warehouse System Architecture
  • Redshift Concepts
  • Designing tables
  • Loading Data to Redshift
  • Redshift Workload Management
  • Tuning Query Performance
  • Best Practices using Redshift
  • Amazon Machine Learning
  • Amazon ML Key Concepts
  • Using Amazon ML
  • What is Amazon Athena?
  • When should you use Athena?
  • Running Queries using Athena
  • What Is Amazon Elasticsearch Service?
  • Features of Amazon Elasticsearch Service
  • ES Domains

Hands-on Exercise:

Creating a Redshift Cluster, Creating Read Replicas,  Loading data into the cluster, Running queries using the Redshift Query Editor, Backing up the cluster, Running a sample ML model in Amazon ML, Creating a database in Athena and running queries.

  • What is Amazon QuickSight?
  • How does Amazon QuickSight work?
  • QuickSight SPICE
  • Setting up Amazon QuickSight
  • Data Sources and Data Sets
  • Creating your own Analysis in QuickSight
  • QuickSight Visualization
  • QuickSight Dashboards
  • Security Best Practices
  • EMR Security
  • Redshift Security
  • Introduction to Microstrategy

Hands-on Exercise:

Setting up Amazon QuickSight, Creating a Data Set in QuickSight, Creating various Visualizations using the data set, Creating a QuickSight dashboard of the created visuals.

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AWS Big Data Projects

Peer Learning

Via Intellipaat PeerChat, you can interact with your peers across all classes and batches and even our alumni. Collaborate on projects, share job referrals & interview experiences, compete with the best, make new friends — the possibilities are endless and our community has something for everyone!

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AWS Big Data Certification

This online AWS Big Data training from Intellipaat is curated by SMEs from across the world. The lectures and sessions that are part of this course will assist you in understanding the working of Big Data on AWS and in gaining all the significant skills needed to be a professional in this field. Intellipaat provides online support throughout the certification program for you to clear your doubts and also to get associated with like-minded people who are doing the same course.

Once you complete this course, you will work on several course-based projects that are related to the modules you will learn in the course. These projects will allow you to grasp the concepts better. After the successful execution of these projects, you will receive AWS Big Data certification from Intellipaat. Further, we will make you job-ready by conducting several sessions of mock interviews and assisting in resume preparation. In the end, you will also be exam-ready for the AWS Certified Data Analytics – Specialty (DAS-C01) exam.

AWS Big Data Certification Course Reviews

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AWS Big Data Training FAQs

Why should I enroll in Intellipaat’s Amazon AWS Big Data certification course?

AWS Big Data is one of the most sought-after certifications today, where most data is available and accessible on the cloud. This training from Intellipaat covers all concepts with more emphasis on the significant ones. Moreover, you will attain the skills you need to become an AWS Big Data professional.

Once all the lecture sessions are done, you will gain hands-on experience by working on real-world assignments and projects based on the AWS Big Data concepts you learned in the modules. We will also offer complete online support to clear any of your doubts at any time.

After the successful completion of the entire AWS Certified Big Data Specialty certification course, we will help you prepare for and find a high-paying job via mock interviews and resume preparation. Finally, you will be awarded Intellipaat’s AWS Big Data certification that is well-recognized by leading organizations.

Yes, Intellipaat publishes various blogs on AWS Big Data. Among them, the major ones are Interview Questions, Tutorials, and everything about AWS.

Yes. The AWS Certified Big Data – Specialty (BDS-C00) exam is replaced with the AWS Certified Data Analytics – Specialty (DAS-C01) exam.

At Intellipaat, you can enroll in either the instructor-led online training or self-paced training. Apart from this, Intellipaat also offers corporate training for organizations to upskill their workforce. All trainers at Intellipaat have 12+ years of relevant industry experience, and they have been actively working as consultants in the same domain, which has made them subject matter experts. Go through the sample videos to check the quality of our trainers.

Intellipaat is offering 24/7 query resolution, and you can raise a ticket with the dedicated support team at any time. You can avail of email support for all your queries. If your query does not get resolved through email, we can also arrange one-on-one sessions with our support team. However, 1:1 session support is provided for a period of 6 months from the start date of your course.

Intellipaat is offering you the most updated, relevant, and high-value real-world projects as part of the training program. This way, you can implement the learning that you have acquired in real-world industry setup. All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.

You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc. After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.

Intellipaat actively provides placement assistance to all learners who have successfully completed the training. For this, we are exclusively tied-up with over 80 top MNCs from around the world. This way, you can be placed in outstanding organizations such as Sony, Ericsson, TCS, Mu Sigma, Standard Chartered, Cognizant, and Cisco, among other equally great enterprises. We also help you with the job interview and résumé preparation as well.

You can definitely make the switch from self-paced training to online instructor-led training by simply paying the extra amount. You can join the very next batch, which will be duly notified to you.

Once you complete Intellipaat’s training program, working on real-world projects, quizzes, and assignments and scoring at least 60 percent marks in the qualifying exam, you will be awarded Intellipaat’s course completion certificate. This certificate is very well recognized in Intellipaat-affiliated organizations, including over 80 top MNCs from around the world and some of the Fortune 500companies.

Apparently, no. Our job assistance program is aimed at helping you land in your dream job. It offers a potential opportunity for you to explore various competitive openings in the corporate world and find a well-paid job, matching your profile. The final decision on hiring will always be based on your performance in the interview and the requirements of the recruiter.

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