AWS Certified Big Data Specialty Training

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Instructor-Led Training Parameters

Course Highlights

  • Instructor-led Online Training
  • Project Based Learning
  • Certified & Experienced Trainers
  • Course Completion Certificate
  • Lifetime e-Learning Access
  • 24x7 After Training Support

AWS Certified Big Data Specialty Training Course Overview

Unlock the Power of Big Data with AWS - Join Multisoft Systems' AWS Certified Big Data Specialty Course! Discover the keys to managing and analyzing expansive data sets, and become a certified expert in cloud-based big data solutions. Learn from industry professionals, leverage real-world projects, and elevate your career in the growing field of Big Data. Enroll today and step into a future where data drives decisions!

The AWS Certified Big Data Specialty course offered by Multisoft Systems is an in-depth training program designed to empower professionals to leverage the full potential of big data analytics on the AWS platform. This course is geared towards individuals who perform complex big data analyses and validates their ability to implement AWS services for data processing.

The course commences with an introduction to AWS Big Data Classification and architecture, setting the foundation for the more complex elements. Participants will then delve into various AWS services, including Amazon Kinesis, AWS Glue, Amazon Redshift, and Amazon QuickSight. The curriculum equips participants with a thorough understanding of the processes involved in collection, storage, processing, analysis, visualization, and security of big data on AWS. Additionally, participants will gain hands-on experience through multiple real-world projects, enhancing their practical understanding of AWS big data tools and services. On completion of the course, participants will be adept at handling big data workflows on AWS and ready to take the AWS Certified Big Data Specialty exam.

With its blend of theoretical knowledge and practical exposure, Multisoft's AWS Certified Big Data Specialty course ensures participants are well-equipped to manage big data operations on the AWS platform and make data-driven decisions effectively. The AWS Certified Big Data Specialty certification validates a professional's ability to design, implement, and maintain Big Data solutions using AWS cloud services. It signifies expertise in data analytics, demonstrating the skills to turn complex datasets into insights using AWS's robust Big Data tools. This certification is ideal for individuals performing complex Big Data analyses or data scientists.

AWS Certified Big Data Specialty Course Objective
  • Develop an understanding of AWS Big Data services and learn how they fit in the data lifecycle of collection, storage, processing, and visualization.
  • Gain proficiency in managing and converting big data into useful insights using AWS tools.
  • Learn to use Amazon S3 and DynamoDB for data storage and retrieval.
  • Understand how to use Amazon Kinesis for real-time big data processing.
  • Become proficient in data processing using AWS Lambda, Amazon Glue, and other AWS data processing services.
  • Learn how to use AWS analytics tools such as Amazon Athena, Redshift, and QuickSight for complex data analysis.
  • Understand how to secure your data using AWS data encryption methods and secure data governance tools like AWS Lake Formation.
  • Gain hands-on experience in managing and analyzing big data with AWS through real-world projects and case studies.
  • Prepare for the AWS Certified Big Data Specialty exam and understand the exam format and question types.
  • Develop the confidence to solve complex Big Data problems using AWS cloud solutions.
AWS Certified Big Data Specialty Online Training
  • Recorded Videos After Training
  • Digital Learning Material
  • Course Completion Certificate
  • 24x7 After Training Support
Target Audience
  • Data Professionals
  • IT Professionals
  • AWS Solution Architects
  • Professionals preparing for AWS
  • Big Data Specialty
  • Exam Cloud Enthusiasts
AWS Certified Big Data Specialty Course Prerequisites
  • AWS Knowledge: Basic familiarity with AWS services is crucial since the course will focus on specialized big data services offered by AWS. Prior experience with AWS core services like S3, EC2, IAM, etc., can be particularly useful.
  • Big Data Experience: Having some experience or understanding of big data concepts can significantly aid your learning. Knowledge of data lifecycles and big data frameworks, like Hadoop or Spark, is beneficial.
  • Data Analytics Understanding: Familiarity with data analytics concepts and tools will be advantageous as the course will cover AWS data analytics services.
  • Coding Skills: While not mandatory, knowing how to code can be helpful as it allows you to interact with AWS services more flexibly. Python, Java, or Scala are common languages used in big data processing.
  • Certification in AWS Cloud Practitioner or any Associate-level AWS certification: While not a strict prerequisite, this can provide a solid foundation for understanding AWS services and architecture.
AWS Certified Big Data Specialty Course Certification
  • Multisoft Systems provides a globally recognized training certificate after successful completion of AWS Certified Big Data Specialty Training Course.

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AWS Certified Big Data Specialty Training Course Content

Module 1: Introduction

  • Exam Blue Print
  • How Was This Course Created
  • Disclaimer - This Course Will Not Guarantee That You Will Pass Your Exam
  • What You’ll Need, To Do This Course
  • Generating a Dataset

Module 2: Collection

  • Kinesis Streams Introduction
  • Kinesis Streams Core Concepts
  • Kinesis Streams Emitting Data to AWS Services
  • Kinesis Firehose
  • SQS
  • oT
  • Data Pipeline
  • Getting Data into AWS

Module 3: Storage1

  • Glacier
  • DynamoDB Introduction
  • DynamoDB Partitions
  • DynamoDB GSI/LSI
  • DynamoDB Streams and Replication
  • DynamoDB Performance Deep Dive Part 1
  • DynamoDB Performance Deep Dive Part 2

Module 4: Processing

  • EMR Introduction
  • Apache Hadoop Part 1
  • Apache Hadoop Part 2
  • EMR Architecture Part 1
  • EMR Architecture Part 2
  • EMR Operations Part 1
  • EMR Operations Part 2
  • EMR Operations Part 3
  • EMR Operations Part 4
  • Using Hue with EMR
  • Hive on EMR
  • HBase on EMR
  • Presto on EMR
  • Spark on EMR Part 1
  • Spark on EMR Part 2
  • EMR File Storage and Compression
  • EMR Lab
  • Lambda in the AWS Big Data Ecosystem
  • HCatalog
  • Glue
  • Glue Lab

Module 5: Analysis

  • Introduction to Redshift
  • Redshift Architecture
  • Redshift in the AWS Ecosystem
  • Columnar Databases
  • Redshift Table Design - Introduction
  • Redshift Table Design - Distribution Styles
  • Redshift Table Design - Sort Keys
  • Redshift Table Design - Data Types
  • Redshift Table Design – Compression
  • Redshift Table Design - Constraints
  • Redshift Table Design - Review Design
  • Redshift Workload Management
  • Redshift Loading Data Part 1
  • Redshift Data Loading Part 2
  • Redshift Loading Data Part 3
  • Redshift Loading Data Part 4
  • Redshift Maintenance and Operations Part 1
  • Redshift Maintenance and Operations Part 2
  • Redshift Lab
  • Machine Learning Introduction
  • Machine Learning Multiclass Classification Model
  • Machine Learning Binary Classification Model
  • Machine Learning Regression Model
  • Machine Learning Lab
  • Elasticsearch
  • RStudio
  • RStudio Lab
  • Athena
  • Athena Lab

Module 6: Visualization

  • QuickSight Introduction
  • QuickSight Visualization
  • Big Data Visualization
  • Microstrategy

Module 7: Security

  • EMR Security
  • Redshift Security
  • Module 8: Good Luck!
  • Exam Strategy
  • Good Luck!

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Free AWS Certified Big Data Specialty Training Assessment

This assessment tests understanding of course content through MCQ and short answers, analytical thinking, problem-solving abilities, and effective communication of ideas. Some Multisoft Assessment Features :

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