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Big Data On AWS Course Overview
Our Big Data on AWS course is an intermediate-level 3-day course. The training uses official AWS training curriculum and includes extensive hands-on labs. Learners of this course will gain the knowledge about building out scalable, resilient big data solutions using various services on AWS cloud platform. It provides a great platform to explore EMR, Athena and Elasticsearch. Also, you will get practical exposure of how to use AWS and how to perform big data solutions on cloud.
Additionally, this AWS Big Data course will prepare you to take the official exam and achieve AWS Certified Data Analytics – Specialty certification.
Course Curriculum
Audience
This course intends to benefit:
- Solutions architects
- SysOps administrators
- Data scientists
- Data analysts
Eligibility Criteria
To be eligible for this course, you will need to have:
- Basic familiarity with big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying
- Completed Data Analytics Fundamentals free digital training or equivalent experience
- Working knowledge of core AWS services and public cloud implementation
- Completed the AWS Technical Essentials classroom training or have equivalent experience
- Basic understanding of data warehousing, relational database systems, and database design
Course Objectives
- Fit AWS solutions inside a Big Data ecosystem
- Leverage Apache Hadoop in the context of Amazon EMR
- Identify the components of an Amazon EMR cluster, then launch and configure an Amazon EMR cluster
- Use common programming frameworks available for Amazon EMR, including Hive, Pig, and streaming
- Launch and configure an Amazon EMR cluster
- 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
- Secure a Big Data solution
- Identify options for ingesting, transferring, and compressing data
- Leverage Amazon Athena for ad hoc query analytics
- Use visualization software to depict data and queries using Amazon QuickSight
- Orchestrate big data workflows using AWS Data Pipeline
About the Certification - AWS Certified data Analytics - Specialty Certification
The AWS Certified Data Analytics – Specialty certification course validates the knowledge of data professionals about data analytics on the AWS cloud platform. It introduces you to the new services and tools you can use in AWS to build data analytics applications, as well as build and manage the lifecycle of collecting, storing, processing, and visualizing your data.
This credential requires you to clear the AWS Certified Data Analytics - Specialty (DAS-C01) exam.
Exam Details:
Level: Specialty
Format: Multiple-choice questions
No. of questions: 65
Duration: 180 minutes
Passing score: 750 (on a scale of 100-1000)
Training Options
ONLINE TRAINING
Instructor-Led Session
- 3 Days Instructor led Online Training
- Experienced Subject Matter Experts
- Approved and Quality Ensured training Material
- 24*7 learner assistance and support
CORPORATE TRAINING
Customized to your team's need
- Customized Training Across Various Domains
- Instructor Led Skill Development Program
- Ensure Maximum ROI for Corporates
- 24*7 Learner Assistance and Support
Course Outline
- Overview of Big Data
- Big Data Ingestion and Transfer
- Big Data Streaming and Amazon Kinesis
- Lab 1: Using Amazon Kinesis to Stream and Analyze Apache Server Log Data
- Big Data Storage Solutions
- Big Data Processing and Analytics
- Lab 2: Using Amazon Athena to Query Log Data From Amazon S3
- Apache Hadoop and Amazon EMR
- Lab 3: Storing and Querying Data on Amazon DynamoDB
- Using Amazon EMR
- Hadoop Programming Frameworks
- Lab 4: Processing Server Logs With Hive on Amazon EMR
- Web Interfaces on Amazon EMR
- Lab 5: Running Pig Scripts in Hue on Amazon EMR
- Apache Spark on Amazon EMR
- Lab 6: Processing NY Taxi data using Spark on Amazon EMR
- Using AWS Glue to automate ETL workloads
- Amazon Redshift and Big Data
- Visualizing and Orchestrating Big Data
- Lab 7: Using TIBCO Spotfire to Visualize Data
- Managing Big Data Costs
- Securing Your Amazon Deployments
- Big Data Design Patterns
Course Reviews
Louis .M
Solution Architect
Russell .N
Solution Architect
FAQ's
Vinsys has some of the world-class trainers for AWS courses. Being in the training industry for over two decades now, they thrive to deliver their best with every course. Trainers at Vinsys ensure concepts are well-understood and that learning happens both theoretically as well as practically. You can trust their training strategies and methodologies as they are as per the latest industry trends.
The Big Data on AWS course is designed to teach you with hands-on experience on how to use Amazon Web Services for big data workloads.
To take this course, you will need to have:
- Basic familiarity with big data technologies, including Apache Hadoop, HDFS, and SQL/NoSQL querying
- Completed Data Analytics Fundamentals free digital training or equivalent experience
- Working knowledge of core AWS services and public cloud implementation
- Completed the AWS Technical Essentials classroom training or have equivalent experience
- Basic understanding of data warehousing, relational database systems, and database design
Yes. This course prepares you for the AWS Certified Big Data - Specialty certification.
This is a 3-day course.
The exam is a multiple-choice, multiple-answer test that has to be completed within 170 minutes.
The AWS Certified Big Data – Specialty certification needs to be renewed every three years.
In case you fail an exam, you can retake the certification exam after 14 days. There is no limit on number of attempts but you will have to pay the full registration fee for each attempt.
Data Warehousing On AWS