AWS Certified Data Analytics - Specialty (Big Data on AWS) Course Overview

The AWS Certified Big Data - Specialty certification training is intended for individuals who perform complex Big Data investigations with at least 2 years of experience using AWS technology. Big Data is an advanced certification and its best handled by students who have already gotten associate-level certification in AWS & have some real-world industry experience.

AWS Big Data certification won't just assistance you become familiar with some new skills, it can position you for a higher paying job or help you transform your present role into a Big Data and Analytics professional.

Audience:

  • Experienced technologists looking certification in Big Data technologies on Amazon Web Services.
  • 1. Do you have limited Window for training?
  • 2. Can you only spend 4-hours per day?
  • 3. Do you want to start training immediately?
  • If your answer is yes to any one of the above, you need 1-on-1- Training
The 1-on-1 Advantage
Methodology
Flexible Dates
4-Hour Sessions
  • View video
  • The course will be free if we are not able to start within 7 days of booking.
  • Only applicable for courses on which this logo appears.

Your will learn:

Big Data on AWS
  • Overview of Big Data
  • Ingestion
  • Big Data streaming and Amazon Kinesis
  • Using Kinesis to stream and analyze Apache server logs
  • Storage Solutions
  • Querying Big Data using Amazon Athena
  • Using Amazon Athena to analyze log data
  • Introduction to Apache Hadoop and Amazon EMR
  • Using Amazon Elastic MapReduce
  • Storing and Querying Data on DynamoDB
  • Hadoop Programming Frameworks
  • Processing Server Logs with Hive on Amazon EMR
  • Streamlining Your Amazon EMR Experience with Hue
  • Running Pig Scripts in Hue on Amazon EMR
  • Spark on Amazon EMR
  • Processing New York Taxi dataset using Spark on Amazon EMR
  • Using AWS Glue to automate ETL workloads
  • Amazon Redshift and Big Data
  • Visualizing and Orchestrating Big Data
  • Visualizing
  • Managing Amazon EMR Costs
  • Securing Big Data solutions
  • Big Data Design Patterns
  • Overview of Big Data
  • Ingestion
  • Big Data streaming and Amazon Kinesis
  • Using Kinesis to stream and analyze Apache server logs
  • Storage Solutions
  • Querying Big Data using Amazon Athena
  • Using Amazon Athena to analyze log data
  • Introduction to Apache Hadoop and Amazon EMR
  • Using Amazon Elastic MapReduce
  • Storing and Querying Data on DynamoDB
  • Hadoop Programming Frameworks
  • Processing Server Logs with Hive on Amazon EMR
  • Streamlining Your Amazon EMR Experience with Hue
  • Running Pig Scripts in Hue on Amazon EMR
  • Spark on Amazon EMR
  • Processing New York Taxi dataset using Spark on Amazon EMR
  • Using AWS Glue to automate ETL workloads
  • Amazon Redshift and Big Data
  • Visualizing and Orchestrating Big Data
  • Visualizing
  • Managing Amazon EMR Costs
  • Securing Big Data solutions
  • Big Data Design Patterns
Live Online Training (Duration : 24 Hours)
Group Training 3100 Per Participant Incl. Official Courseware
06 - 08 Jun 09:00 AM - 05:00 PM CST
(8 Hours/Day)
04 - 06 Jul 09:00 AM - 05:00 PM CST
(8 Hours/Day)
1-on-1 Training 6200 4000 + If you accept merging of other students. Incl. Official Courseware
4 Hours
8 Hours
Week Days
Weekend

Start Time : At any time

12 AM
12 PM

1-On-1 Training is Guaranteed to Run (GTR)
Classroom Training (Available: London, Dubai, India, Sydney, Vancouver)
Duration : On Request
Fee : On Request
On Request
Classroom Training is available. Enquire for the fee Click
Ultra-Fast Track

If you can't spare 24 hours. We can offer you an Ultra-Fast Track for 12 hours for only USD 3,200

Course Prerequisites

Students hold an AWS Certified Cloud Practitioner or a current Associate-level certification: AWS Certified Solutions Architect - Associate, AWS Certified Developer - Associate or AWS Certified SysOps Administrator - Associate.
 
Give an edge to your career with AWS certification training courses. Students can join the classes for Big Data on AWS training & certification courses at Koenig Solutions.
 

What you will learn:

  • Design & Maintain Big Data.
  • Execute core AWS Big Data services according to basic architecture best practices.
  • Leverage tools to automate data analysis.
  • Store big data with S3 & DynamoDB in a scalable, and secure manner.
  • Use the Hadoop ecosystem with AWS using Elastic MapReduce.
  • Analyze big data with Kinesis Analytics, Amazon Elasticsearch Service, Redshift, RDS & Aurora.
  • Visualize big data in the cloud using AWS QuickSight.
  • Process big data with AWS Lambda & Glue ETL.
  • Move & transform massive data streams with Kinesis.

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