AWS Big Data Certification Course Overview

This AWS Big Data certification training in San Antonio familiarizes you with the utilities of the AWS platform of AMazon, including AWS Big Data storage, machine learning algorithms, Kinesis analytics, and so on. This AWS Big Data certification course in San Antonio is also designed to help you understand the processes of cloud technology.

AWS Big Data Training Key Features

100% Money Back Guarantee
No questions asked refund*

At Simplilearn, we value the trust of our patrons immensely. But, if you feel that this AWS Big Data course does not meet your expectations, we offer a 7-day money-back guarantee. Just send us a refund request via email within 7 days of purchase and we will refund 100% of your payment, no questions asked!
  • 44 hours of Blended Learning
  • Real-life industry-based projects
  • 24/7 support with dedicated project mentoring sessions
  • Flexibility to choose classes
  • Dedicated mentoring session from our industry expert faculty members

Skills Covered

  • AWS Quicksight
  • Kinesis streams
  • AWS Lambda and Glue
  • s3 and DynamoDB
  • Redshift
  • Amazon RDS
  • Hive on EMR
  • HBase with EMR
  • AWS Aurora

Training Options

online Bootcamp

$ 799

  • 90 days of flexible access to online classes
  • Lifetime access to high-quality, self-paced learning content designed by industry experts
  • 24x7 learner assistance and support
  • Classes starting in San Antonio from:-
5th Feb: Weekend Class
2nd Apr: Weekend Class
Show all classes

Corporate Training

Customized to your team's needs

  • Blended learning delivery model (self-paced e-learning and/or instructor-led options)
  • Course, category, and all-access pricing
  • Enterprise-class learning management system (LMS)
  • Enhanced reporting for individuals and teams
  • 24x7 teaching assistance and support

AWS Big Data Course Curriculum


Aspiring Data Engineers who take part in this AWS Big Data certification training in San Antonio are often seen to have prior experience in domains of technology.
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If you are looking to participate in this AWS Big Data certification course in San Antonio, you are required to have a fundamental understanding of the AWS platform and the Big Data concepts.
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Course Content

  • Section 1 - Self-paced Curriculum

    • Lesson 1 Big Data on AWS Certification Course Overview

      • Overview of Big Data on AWS Certification Course
      • 2.Course Introduction
    • Lesson 2 - Big Data on AWS Introduction

      • 1. Learning Objective
      • 2.Cloud computing and it's advantages
      • 3.Cloud Computing Models
      • 4.Cloud Service Categories
      • 5. AWS Cloud Platform
      • 6.Design Principles - Part One
      • 7. Design Principles - Part Two
      • 8.Why AWS for Big Data - Reasons and Challenges
      • 9.Databases in AWS
      • 10.Data Warehousing in AWS
      • 11.Redshift, Kinesis and EMR
      • 12.DynamoDB, Machine Learning and Lambda
      • 13.Elastic Search Services and EC2
      • 14.Key Takeaways
    • Lesson 3 - AWS Big Data Collection Services

      • 1.Learning Objective
      • 2.Amazon Kinesis and Kinesis Stream
      • 3.Kinesis Data Stream Architecture and Core Components
      • 4.Data Producer
      • 5.Data Consumer
      • 6.Kinesis Stream Emitting Data to AWS Services and Kinesis Connector Library
      • 7.Kinesis Firehose
      • 8.Transferring Data Using Lambda
      • 9.Amazon SQS, Lifecycle and Architecture
      • 10.IoT and Big Data
      • 11.IoT Framework
      • 12.AWS Data Pipelines and Data Nodes
      • 13.Activity, Pre-condition and Schedule
      • 14Key Takeaways
    • Lesson 4 - AWS Big Data Storage Services

      • 1.Learning Objective
      • 2.Amazon Glacier and Big Data
      • 3.DynamoDB Introduction
      • 4.DynamoDB and EMR
      • 5.DynamoDB Partitions and Distributions
      • 6.DynamoDB GSI LSI
      • 7.DynamoDB Stream and Cross Region Replication
      • 8.DynamoDB Performance and Partition Key Selection
      • 9.Snowball and AWS Big Data
      • 10.AWS DMS
      • 11.AWS Aurora in Big Data
      • 12.Demo - Amazon Athena Interactive SQL Queries for Data in Amazon S3 – Part 2
      • 13.Key Takeaways
    • Lesson 5 - AWS Big Data Processing Services

      • 1.Learning Objective
      • 2.Amazon EMR
      • 3.Apache Hadoop
      • 4.EMR Architecture
      • 5.EMR Releases and Cluster
      • 6.Choosing Instance and Monitoring
      • 7.Demo - Advance EMR Setting Options
      • 8.Hive on EMR
      • 9.HBase with EMR
      • 10.Presto with EMR
      • 11.Spark with EMR
      • 12.EMR File Storage
      • 13.AWS Lambda
      • 14.Key Takeaways
    • Lesson 6 - Analysis

      • 1.Learning Objective
      • 2.Redshift Intro and Use cases
      • 3.Redshift Architecture
      • 4.MPP and Redshift in AWS Eco-System
      • 5.Columnar Databases
      • 6.Redshift Table Design - Part 2
      • 7.Demo - Redshift Maintenance and Operations
      • 8.Machine Learning Introduction
      • 9.Machine Learning Algorithm
      • 10.Amazon SageMaker
      • 11.Amazon Elasticsearch
      • 12.Amazon Elasticsearch Services
      • 13.Demo - Loading Dataset into Elasticsearch
      • 14.Logstash and R Studio
      • 15.Demo - Fetching the File and Analyzing it using RStudio
      • 16.Athena
      • 17.Demo - Running Query on S3 using the Serverless Athena
      • 18.Key Takeaways
    • Lesson 7 - Visualization

      • 1.Learning Objective
      • 2. Introduction to Amazon QuickSight
      • 3.Visual Types
      • 4.Story
      • 5.Big Data Visualization
      • 6.Key Takeaways
    • Lesson 8 - Security

      • 1.Learning Objective
      • 2.EMR Security and Security Group
      • 3.Roles and Private Subnet
      • 4.Encryption at Rest and In-transit
      • 5.Redshift Security
      • 6.Encryption at Rest using HSM
      • 7.Cloud HSM vs AWS KMS
      • 8.Limit Data Access
      • 9.Key Takeaways
  • Section 2 - Live Virtual Class Curriculum

    • Lesson 01 - Course Introduction

      • Overview of AWS Certified Data Analytics - Speciality Course
      • Overview of the Certification
      • Overview of the Course
      • Project highlights
      • Course Completion Criteria
    • Lesson 02 AWS in Big Data Introduction

      • Introduction to Cloud Computing
      • Cloud Computing Deployments Models
      • Types of Cloud Computing Services
      • AWS Fundamentals
      • AWS Cloud Economics
      • AWS Virtuous Cycle
      • AWS Cloud Architecture Design Principles
      • Why AWS for Big Data - Challenges
      • Databases in AWS
      • Relational vs Non Relational Databases
      • Data Warehousing in AWS
      • AWS Services for collecting, processing, storing, and analyzing big data
      • Key Takeaways
      • Deploy a Data Warehouse Using Amazon Redshift
    • Lesson 03 Collection

      • AWS Big Data Collection Services
      • Fundamentals of Amazon Kinesis
      • Loading Data into Kinesis Stream
      • Assisted Practice: Loading Data into Amazon Storage
      • Kinesis Data Stream High-Level Architecture
      • Kinesis Stream Core Concepts
      • AWS Services and Amazon Kinesis Data Stream
      • How to Put Data into Kinesis Stream?
      • Kinesis Connector Library
      • Amazon Kinesis Data Firehose
      • Assisted Practice: Transfer Data into Delivery Stream using Firehose
      • Assisted Practice: Transfer VPC Flow log to Splunk using Firehose
      • Data Transfer using AWS Lambda
      • Assisted Practice: Backing up data in Amazon S3 using AWS Lambda
      • Amazon SQS
      • IoT and Big Data
      • Amazon IoT Greengrass
      • AWS Data Pipeline
      • Components of Data Pipeline
      • Assisted Practice: Export MySQL Data to Amazon S3 Using AWS Data Pipeline
      • Key Takeaways
      • Streaming Data with Kinesis Data Analytics
    • Lesson 04 Storage

      • AWS Bigdata Storage services
      • Data lakes and Analytics
      • Data Management
      • Data Life Cycle
      • Fundamentals of Amazon Glacier
      • Glacier and Big Data
      • DynamoDB Introduction
      • DynamoDB: Core Components
      • Assisted Practice: Perform operations on DynamoDB table
      • DynamoDB in AWS Eco-System
      • DynamoDB Partitions
      • Data Distribution
      • DynamoDB GSI and LSI
      • DynamoDB Streams
      • Use cases: Capturing Table Activity with DynamoDB Streams
      • Cross-Region Replication
      • Assisted Practice: Create a Global Table using DynamoDB
      • DynamoDB Performance: Deep Dive
      • Partition Key Selection
      • Snowball & AWS BigData
      • Assisted Practice: Data Migration using AWS Snowball
      • AWS DMS
      • AWS Aurora in BigData
      • Assisted Practice: Create and Modify Aurora DB Cluster
      • Storing and Retrieving the Data from DynamoDB
    • Lesson 05 Processing I

      • AWS Bigdata Processing Services
      • Overview of Amazon Elastic MapReduce (EMR)
      • EMR Cluster Architecture
      • Apache Hadoop
      • Apache Hadoop Architecture
      • Storage Options
      • EMR Operations
      • AWS Cluster
      • Assisted Practice: Create a cluster in S3
      • Assisted Practice: Monitor a Cluster in S3
      • Using Hue with EMR
      • Assisted Practice: Launch HUE Web Interface on Amazon EMR
      • Setup Hue for LDAP
      • Assisted Practice: Configure HUE for LDAP Users
      • Hive on EMR
      • Assisted Practice: Set Up a Hive Table to Run Hive Commands
      • Key Takeaways
    • Lesson 06: Processing II

      • Using HBase with EMR
      • HBase Architecture
      • Assisted Practice: Create a cluster with HBase
      • HBase and EMRFS
      • Presto with EMR
      • Presto Architecture
      • Fundamentals of Apache Spark
      • Apache Spark Architecture
      • Assisted Practice: Create a cluster with Spark
      • Apache Spark Integration with EMR
      • Fundamentals of EMR File System
      • Amazon Simple Workflow
      • AWS Lambda in Big Data Ecosystem
      • AWS Lambda and Kinesis Stream
      • AWS Lambda and RedShift
      • HCatalog
      • Key Takeaways
      • Real-Time Application with Apache Spark and AWS EMR
    • Lesson 07 ETL with Redshift

      • Introduction to AWS Bigdata Analysis Services
      • Fundamentals of Amazon Redshift
      • Amazon RedShift Architecture
      • Assisted Practice: Launch a Cluster, Load Dataset, and Execute Queries
      • RedShift in the AWS Ecosystem
      • Columnar Databases
      • Assisted Practice: Monitor RedShift Maintenance and Operations
      • RedShift Table Design
      • Choosing the Distribution Style
      • Redshift Data types
      • RedShift Data Loading
      • COPY Command for Data Loading
      • RedShift Loading Data
      • Key Takeaways
    • Lesson 08: Analysis with Machine Learning

      • Fundamentals of Machine Learning
      • Workflow of Amazon Machine Learning
      • Use cases
      • Machine learning Algorithms
      • Amazon SageMaker
      • Machine learning with Amazon Sagemaker
      • Assisted Practice: Build, Train, and Deploy a Machine Learning Model
      • Elasticsearch
      • Amazon Elasticsearch Service
      • Zone Awareness
      • Logstash
      • RStudio
      • Assisted Practice: Fetch the File and Run Analysis using RStudio
      • Amazon Athena
      • Assisted Practice: Execute Interactive SQL Queries in Athena
      • AWS Glue
      • Key Takeaways
      • Fraud Detection Using Classification Algorithms on AWS Sagemaker
    • Lesson 09 Analysis and Visualization

      • Introduction to AWS Bigdata Visualization Services
      • Amazon QuickSight
      • Amazon QuickSight - Workflow and Use Cases
      • Assisted Practice: Analyze the marketing campaign
      • Working with data
      • Assisted Practice: Analyze the marketing campaign using data from Amazon S3
      • Assisted Practice: Analyze the marketing campaign using data from Presto
      • Amazon QuickSight: Visualization
      • Assisted Practice: Create Visuals
      • Amazon QuickSight: Stories
      • Assisted Practice: Create a Storyboard
      • Amazon QuickSight: Dashboard
      • Assisted Practice: Create a Dashboard
      • Data Visualization: Other Tools
      • Kibana
      • Assisted Practice: Create a Dashboard on Kibana
      • Key Takeaways
      • Exploratory Data Analysis Using AWS QuickSight
    • Lesson 10: Security

      • Introduction to AWS Bigdata Security
      • EMR Security
      • EMR Security: Best Practices
      • Roles
      • Fundamentals of Redshift Security
      • Data Protection and Encryption
      • Master Key, Encryption, and Decryption Process
      • Amazon Redshift Database Encryption
      • Key Management Services(KMS) Overview
      • Encryption using Hardware Security Modules
      • STS and Cross Account Access
      • Cloud Trail
      • Key Takeaways
  • Practice Projects

    • Practice Projects

      • Real-time Analytics on Streaming Data
      • Truegate S3 Replication Big Data Assignment
  • Free Course
  • AWS Technical Essentials

    • Lesson 01 Introduction to Cloud Computing

      • 01 Course Introduction - Simplilearn
      • 02 Course Agenda
      • 03 Need for Cloud Computing
      • 04 what is cloud computing? - A
      • 05 What is Cloud Computing? - B
      • 06 What is Cloud Made up of?
      • 07 benefits of cloud computing
      • 08 Key concepts and Terminology
      • 09 Economies of scale
      • 10 capex vs opex
      • 11 What is a Public cloud
      • 12 characteristics of Public Cloud
      • 13 What is Private CLoud?
      • 14 Characteristics of Private CLoud
      • 15 What is Hybrid cloud?
      • 16 Characteristics of Hybrid CLoud
      • 17 review and what next
      • 18 What is IAAS?
      • 19 Use cases of IAAS
      • 20 what is paas?
      • 21 Use Cases of PAAS
      • 22 What is saas?
      • 23 What is Shared Responsibility Model?
    • Lesson 02 First Steps into Amazon Web Services

      • 1 Foot Prints of Amazon Web Services - Datacenters
      • 2 AWS Console Tour
      • 3 Free access to AWS
      • 4 Creating a Free AWS Account
    • Lesson 03 Identity and Access Management (IAM)

      • 1 Identity Access Management ( IAM ) - Part A
      • 2 Identity Access Management ( IAM ) - Part B
      • 3 Identity Access Management ( IAM ) - Part C
      • 4 Identity Access Management ( IAM ) - Part D
      • 5 Identity Access Management ( IAM ) - Part E
    • Lesson 04 Networking in AWS - Virtual Private Clouds

      • 1 Networking Fundamentals - Part A
      • 2 Networking Fundamentals - Part B
      • 3 Conceptial Overview of VPC
      • 4 AWS VPC - Walkthrough
      • 5 NACLS and Security Groups
    • Lesson 05 Elastic Compute Cloud (EC2)

      • 1 What is Compute
      • 2 AWS Compute Services
      • 3 EC2 Instance - Lab Activity
      • 4 EC2- Connecting to Windows Machine
      • 5 Ec2 Instance - Linux Instance
    • Lesson 06 AWS Storage

      • 1 Storage Fundamentals
      • 2 AWS S3 - Simple Storage Services
      • 3 AWS S3 - Simple Storage Services - B
      • 4 AWS S3 Storage Classes and Data Lifecycle
      • 5 AWS Storage Gateway
    • Lesson 07 Load Balancing and Autoscaling

      • 1 AutoScaling
      • 2 Elastic Load Balancer Lab
      • 3 Load balancing and Autoscaling Introduction
    • Lesson 08 DNS and Content Delivery Networks

      • 1 Route 53
      • 2 Cloud Front
    • Lesson 09 Monitoring, Auditing and Alerts

      • 1 Cloud Watch
      • 2 Cloud Trail
      • 3 Simple Notification Services
      • 4 AWS Config
      • 5 AWS Config LAB
      • 6 AWS CloudTrail vs. CloudWatch vs. Config
    • Lesson 10 Databases

      • 1 SQL - RDS
      • 2 NO SQL Dynamo DB
      • 3 ElastiCache and Redis
    • Lesson 11 Serverless Computing

      • 1 AWS Lambda
    • Lesson 12 Security and Compliance

      • 1 Shared Responsibilty Model
      • 2 Security and Compliance Services
      • 3 AWS KMS
    • Lesson 13 AWS Pricing, Billing, and Support Services

      • 1 AWS organizations
      • 2 AWS Organizations - Lab Demonstration
      • 3 AWS Pricing
      • 4 AWS Billing and Cost Tools
      • 4 AWS Support Plans and Trusted Advisor
      • 5 AWS Whitepapers
    • Lesson 14 Conclusion

      • 1 Course Conclusion
    • Practice Project

      • AWS Tech Essentials Project – Media

Industry Project

  • Project 1

    RealTime Analytics on Streaming Data with Amazon Kinesis and Amazon Elasticsearch Service

    Assist Facebook to do a continuous monitoring system to detect sentiment changes in a social media feed to react to the sentiment in near real time.

  • Project 2

    Real Time Analytics on Streaming Data

    Use the big data stack for data engineering to analyze a stream of data coming from IoT temperature sensor devices in real time.

  • Project 3

    Transactional Data Analysis

    Use the big data stack for data engineering for analysis of transactions, share patterns and actionable insights.


AWS Big Data Course Advisor

  • Ronald van Loon

    Ronald van Loon

    Top 10 Big Data and Data Science Influencer, Director - Adversitement

    Named by Onalytica as one of the three most influential people in Big Data, Ronald is also an author of a number of leading Big Data and Data Science websites, including Datafloq, Data Science Central, and The Guardian. He also regularly speaks at renowned events.


AWS Big Data Exam & Certification

AWS Big Data Certification Training in San Antonio
  • Who provides the certification for this course?

    Simplilearn is the sponsor of the AWS Big Data certification training in San Antonio. A candidate can unlock their certificate by completing the entire curriculum included in the AWS Big Data certification course in San Antonio. 

  • How can I earn my Simplilearn Certificate for AWS?

    In the online classroom mode of AWS Big Data certification training in San Antonio, you need to:

    • Attend 100% of the classes in the AWS Big Data certification course in San Antonio.
    • Score at least 80% in one of the projects and simulation tests included in the AWS Big Data certification course in San Antonio.

  • How long does it take to complete the AWS Big Data certification course?

    It will take about 40-45 hours to successfully complete the AWS Big Data certification course.

  • How can I become an AWS Data Engineer?

    By the time you are done with the AWS Big Data certification training in San Antonio, you should have enough expertise to successfully clear the AWS Certified Data Analytics- Specialty Exam. Once you have cleared this exam, you can use your AWS Big Data certification training in San Antonio certification to apply at different Big Data firms.

  • What is the duration of the AWS Big Data Certification Course?

    The AWS Big Data certification training in San Antonio occupies approximately 40 to 45 hours in terms of total duration. There isn’t a strict deadline to finish this AWS Big Data certification training in San Antonio.

  • What is the period of validity of Simplilearn's AWS Big Data Certificate?

    Once you have successfully completed the AWS Big Data certification training in San Antonio, the certificate can be used at any point during your life. Simplilearn offers lifetime validity on the AWS Big Data certification training in San Antonio. 

  • How much does the AWS Certified Data Analytics- Specialty Exam cost?

    To apply for the AWS Certified Data Analytics- Specialty Exam after completing your AWS Big Data certification training in San Antonio, you must spend 300 USD. On passing the test successfully, you will find your candidature to be eligible for applying to jobs in the Big Data market with your AWS Big Data certification training in San Antonio certification.

  • How long does it take to complete the AWS Big Data certification course?

    It will take about 40-45 hours to successfully complete the AWS Big Data certification course.

Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

AWS Big Data Training FAQs

  • What is the Salary of the Big data Analysts in San Antonio?

    Big data analysts who have the AWS big data certification in San Antonio can earn up to $89,993 per year. This may increase with years of experience in the field of analysis. Also, the salary variation depends upon the company scale, employers, field of experience, and education

  • What are the major companies hiring for Big Data Analysts in San Antonio?

    The online business market of San Antonio is quite competitive which is why the major companies are searching for new faces who are experts in the field of analysis. San Antonio is a rising hub of industries, and so the companies which are hiring the trainees of AWS big data certification San Antonio are Keyent, USAA, Smartonix, Amazon, etc.

  • What are the top industries for Big Data Analysts in San Antonio?

    Top industries have been hiring the best big data analysts in San Antonio for the past few years. Having the AWS big data certification san Antonio is advantageous for analysis professionals to work in the top domains of the region. However, the top industries for big data analysis are the Information technology sector, software companies, artificial intelligence departments, IT consultation, etc.

  • How to become a Big data Analyst in San Antonio?

    Becoming a big data analyst in San Antonio can land you a dream job. The first and foremost thing is to achieve the AWS big data certification in San Antonio to become one. Along with it, it requires:

    1.  A bachelor’s degree in IT, computer science, or statistics.
    2.  Working in the field of data analysis to adapt the experience.
    3.  Finally, applying for master's degree or certified programs.

  • How to find courses for Big Data Analysts in San Antonio, America?

    Today, top universities are providing AWS big data certification in San Antonio but to find out the best courses, certain things need to be taken care of. Here are the steps to find out the best course in San Antonio such as:

    1. The first and foremost thing is to do plenty of research on the certified course.
    2. Checking out the validation of the certificates provided by the universities.
    3. Going through the on-campus job exposure to understand better about the work environment.

    In this way, one can find out the best courses to avail all the benefits of the bright career opportunities.

  • What is Big Data on AWS?

    Big Data on AWS is all about fitting AWS solutions inside a Big Data ecosystem. It includes knowledge of cloud-based Big data solutions such as Amazon EMR, Amazon Kinesis, Amazon Redshift, and Amazon Athena. Moreover, you’ll understand how to leverage best practices for designing Big Data environments for security, analysis, and cost-effectiveness.

  • How can beginners learn Big Data on AWS?

    Beginners who are interested to learn how to build Big Data solutions on AWS can get started by referring to project guides, tutorials, or guided labs offered by AWS. However, this AWS Big Data certification training is curated for beginners, and enrolling in it can help you learn all the important concepts clearly.

  • Are the training and course material effective in preparing for the DAS-CO1 AWS Data Analytics -Speciality certification exam?

    Yes, the training and course material offered by Simplilearn is aligned with the exam changes introduced by AWS and assist you in preparing for the DAS-C01 exam.

  • How do I enroll for the AWS Big Data certification training?

    You can enroll for this AWS Big Data certification training on our website and make an online payment using any of the following options:

    • Visa Credit or Debit Card
    • MasterCard
    • American Express
    • Diner’s Club
    • PayPal 

    Once payment is received, you will automatically receive a payment receipt and access information via email.

  • What is included with the AWS Big Data certification training?

    You will get access to our e-learning content, practice simulation tests, and an online participant handbook that cross-references the e-learning to reinforce what you’ve learned.

  • What is online classroom training?

    Online classroom training for the AWS Big Data certification course is conducted via online live streaming of each class. The classes are conducted by an AWS Big Data certified trainer with more than 15 years of work and training experience.

  • What if I miss a class?

    Simplilearn provides recordings of each AWS Big Data training classes so you can review them as needed before the next session. With Flexi-Pass, Simplilearn gives you access to all classes for 90 days so that you have the flexibility to choose sessions at your convenience.

  • Who are the instructors and how are they selected?

    All of our highly qualified AWS trainers are industry experts with years of relevant industry experience. Each of them has gone through a rigorous selection process that includes profile screening, technical evaluation, and a training demo before they are certified to train for us. We also ensure that only those trainers with a high alumni rating remain on our faculty.

  • What is Global Teaching Assistance?

    Our teaching assistants are a dedicated team of subject matter experts motivated to help you get certified on your first attempt. They engage students proactively to ensure the course path is being followed and help you enrich your learning experience, from class onboarding to project mentoring and job assistance. Global Teaching Assistance is available during regular business hours.

  • What is covered under the 24/7 Support Promise?

    We offer 24/7 support through email, chat, and calls. We also have a dedicated team that provides on-demand assistance through our community forum. What’s more, you’ll have lifetime access to the community forum, even after you complete your course.

  • Who can I contact to learn more about this AWS Big Data course?

    Please contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

  • Can I cancel my enrolment? Do I get a refund?

    Yes, you can cancel your enrolment. We provide a complete refund after deducting the administration fee. To know more, please go through our Refund Policy.

AWS Big Data Certification Training in San Antonio

The population of San Antonio is 1,581,730 according to the 2019 census report. The average GDP growth is 1.54% of the region. Also, the average GDP per capita of San Antonio is has shown a remarkable rise in the tally by  $47,794. The city is the 2nd largest populated place after Houston which is the first position among all other states in the US. People say that the city's central heart system is the river basin which originates from the central Texas area. It eventually drains down and connects with the Gulf.

Not only it has amazing employment opportunities, but it also has exotic flora and fauna places which are regarded as the San Antonio nature’s hub. San Antonio has many ancient monuments which perfectly the Spanish culture and its practice. There are Museums which show the culture of the state and undoubtedly it has all sorts of places that one will love to settle down.

Here is some of the amazing place to visit in San Antonio are:

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Big Data Engineer
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  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.