Big Data on AWS Training in Singapore

We can host this training at your preferred location. Contact us!

Big Data on AWS introduces you to cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis and the rest of the AWS big data platform. In this course, we show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We also teach you how to create big data environments, work with Amazon DynamoDB, Amazon Redshift, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

Target Audience

Individuals responsible for designing and implementing big data solutions, namely Solutions Architects and SysOps Administrators
Data Scientists and Data Analysts interested in learning about big data solutions on AWS

Delivery Method

This course is delivered through a mix of:

Instructor-Led Training (ILT)
Hands-On Labs

Hands-On Activity

This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises.

We recommend that attendees of this course have the following prerequisites:

Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying
Students should complete the Big Data Technology Fundamentals web-based training or have equivalent experience
Working knowledge of core AWS services and public cloud implementation
Students should complete the AWS Essentials course or have equivalent experience
Basic understanding of data warehousing, relational database systems, and database design

This course teaches you how to:

Fit AWS solutions inside of a big data ecosystem
Leverage Apache Hadoop in the context of Amazon EMR
Identify the components of an Amazon EMR cluster
Launch and configure an Amazon EMR cluster
Leverage common programming frameworks available for Amazon EMR including Hive, Pig, and Streaming
Leverage Hue to improve the ease-of-use of Amazon EMR
Use in-memory analytics with Spark on Amazon EMR
Choose appropriate AWS data storage options
Identify the benefits of using Amazon Kinesis for near real-time big data processing
Leverage Amazon Redshift to efficiently store and analyze data
Comprehend and manage costs and security for a big data solution
Identify options for ingesting, transferring, and compressing data
Leverage Amazon Athena for ad-hoc query analytics
Leverage AWS Glue to automate ETL workloads.
Use visualization software to depict data and queries using Amazon QuickSight
Orchestrate big data workflows using AWS Data Pipeline

Day 1

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

Day 2

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

Day 3

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

Why have you chosen us?

I have attended a training from Bilginc IT Academy before and I was satisfied.

I have attended a training from a different provider and it was not helpful.

Other

How many employees do you have in your IT department?

0 – 50

50 – 250

250 – 1000

1000+

Upcoming Trainings

Join our public courses in our Singapore facilities. Private class trainings will be organized at the location of your preference, according to your schedule.

10 February 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom

14 February 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom

10 February 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom

14 February 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom

12 March 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom

23 March 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom

12 March 2025 (3 Days)
Singapore, Woodlands, Marine Parade
Classroom / Virtual Classroom

Big Data on AWS Training Course in Singapore

Singapore, which is known officially as the Republic of Singapore, is a sovereign island city-state in maritime Southeast Asia and it consists of Singapore island and 60 islets. The capital city of Singapore is Singapore and the population of the island city-state is approximately 5,709,000. The official languages of Singapore are English, Chinese (Mandarin), Malay and Tamil.

Singapore is a year-round destination, but the best time to visit Singapore is from December to June. Between February to April, Singapore has the least amount of rain and the most sunshine, since it's the dry season. Singapore offers more than just luxury hotels and high-end shopping malls; there are many family-friendly attractions and historic places. Marina Bay Sands, Gardens by the Bay, Botanic Gardens and Singapore Flyer are the most popular tourist attractions.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Singapore.

Big Data on AWS Training in Singapore

Target Audience

Delivery Method

Hands-On Activity

Prerequisites

What You Will Learn

Outline

CORPORATE ONLINE TRAINING PLATFORM CLOUD ACADEMY

WHY AWS IS SO PREFERRED?

Upcoming Trainings