AWS Data Analytics Classroom Training - All You Need To Know

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AWS Data Analytics Classroom Training

If you are new to the Amazon AWS world and are looking for a clear understanding of how data analytics work on AWS, the Data Analytics on AWS Training course might be a good starting point. From storage, processing, and ingestion to visualization, this on-demand course allows you to gain a Speciality certification in AWS Data Analytics and help you land the perfect job with a high-paying salary. However, if you don’t know where to start, we have got you covered! To start with, the AWS Data Analytics Training course comes with three different courses. Here’s what you should know about these courses before you enroll in one.

AWS Data Analytics Certification: An Overview

 

As Stated above, the Data Analytics Course on AWS comes with three different courses. Here’s what they look like:

Building Batch Data Analytics Solutions on AWS

 

Do you need to automate time-consuming tasks to operate and grow your big data environments? By enrolling in the Building Batch Data Analytics Solutions on AWS course, you can maximize performance and cost by Building batch data analytics solutions using Amazon EMR.

Building Data Analytics Solutions Using Amazon Redshift

 

The course focuses on the Building Data Analytics solutions using Amazon Redshift service and cutting-edge methods for establishing and operating data analytics pipelines that turn raw data into valuable insights. You can ask questions and get prompt answers from expert AWS instructors, which you can utilize to refine your data analytics solutions. You’ll construct a data warehouse analytics pipeline based on an actual case using the knowledge you gain via tutorials, hands-on labs, conversations, demonstrations, presentations, and group activities.

Building Data Lakes on AWS

 

Do you want to use a data lake to extract business insights from siloed data repositories? Our brand-new one-day classroom course, Building Data Lakes on AWS, will offer you practical experience creating and securing a data lake. A qualified educator will also teach you how to optimize for cost and performance.

What Will You Learn in Data Analytics on AWS Training?

 

Here is a simple course overview of what you will learn in these three courses:

Building Batch Data Analytics Solutions on AWS

 

Course Duration

1 Day/8 Hours

Objectives

 
  • The characteristics and benefits of data lakes, warehouses, and modern data architectures should be compared.
  • Develop and implement a batch data analytics system.
  • Use the data storage techniques shown to be most efficient, including compression.
  • The optimum options for consuming, manipulating, and storing data should be chosen and put into practice.
  • Choose the appropriate clusters, auto-scaling, instance and node types, and network topology for a particular business use case.
  • Recognize how data storage and processing affect the analysis and visualization strategies needed to generate actionable business insights.
  • To identify and address problems with data in transit and, at rest, secure analytics workloads.
  • Put best practices for cost management into action.
 

Who is This Course for?

 
  • Data platform engineers
  • Managers and designers working in the data analytics pipeline.
 

What Experience Do You Need?

 

Students having at least a year of experience with open-source data frameworks like Apache Spark or Apache Hadoop will benefit the most from this Data Analytics on AWS course. For those who need a refresher on Apache Hadoop, we recommend taking the AWS Hadoop Fundamentals course.

  • Completed either architecting on AWS or AWS Technical Essentials
  • Completed either Getting Started with AWS Glue or Building Data Lakes on AWS.
 

Building Data Analytics Solutions Using Amazon Redshift

 

Course Duration

1 Day/8 Hours

Objectives

 
  • The characteristics and benefits of data lakes, warehouses, and modern data architectures should be compared.
  • Develop and implement an analytics program for a data warehouse.
  • Use the data storage techniques shown to be most efficient, including compression.
  • The optimum options for consuming, manipulating, and storing data should be chosen and put into practice.
  • Choose the appropriate clusters, auto-scaling, instance and node types, and network topology for a particular business use case.
  • Recognize how data storage and processing affect the analysis and visualization strategies needed to generate actionable business insights.
  • To identify and address problems with data in transit and, at rest, secure analytics workloads.
  • Put best practices for cost management into action.
 

Who Should Take Up This Course?

 
  • Data platform engineers
  • Architects, operators and data warehouse engineers working on the data analytics pipeline.
 

What Experience Do You Need?

 

You must meet the following requirements to enroll in this course:

  • Learners with at least a year of experience managing data warehouses will benefit the most from this course.
  • completed either architecting on AWS or AWS Technical Essentials
  • Completed AWS Data Lakes Construction
 

Building Data Lakes on AWS

 

Course Duration

1 Day/8 Hours

Objectives

 
  • When building a data lake, use data lake design and planning strategies.
  • Listing the components and services required to create an AWS data lake.
  • A data lake may be kept secure with the right authorization.
  • Ingestion, storage, and modification of data in a lake
  • Data lake analysis, visualization, and query
 

Who Should Take Up This Course?

 
  • IT Professionals
  • Data platform engineers
  • Solutions architects
 

What Experience Do You Need?

 

You must meet the following requirements to enroll in this course:

  • Completed the lecture course AWS Technical Essentials
  • Having built data analytics pipelines for a year or having finished the Data Analytics Fundamentals online course.

Navigating AWS With Cloud Wizard Consulting

If you are searching for a perfect platform to get started with the AWS Data Analytics Training, CloudWizard Consulting can help you navigate the red tape across AWS. With a realistic learning environment and dozens of hands-on lab activities, we help you gain the correct type of information to get the specialty certification like a pro. We also offer exam prep assistance for all AWS courses.

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