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Big Data On AWS Certification Training
AWS Certified Data Analytics Certification
Big Data on AWS course is developed to teach learners about cloud-based big data solutions such as Amazon Elastic MapReduce (EMR), Amazon Redshift, Amazon Kinesis, and the rest of the AWS big data platform. The course covers understanding the Amazon EMR to process data using the broad ecosystem o
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Extensive hands-on & Practical, skill-based approach
Internationally acclaimed Subject Matter Expertise with 25+ years of Industry and Training Experience
Course Designed According To Corporate Requirements
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.
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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
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 Outline
Day 1
- 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
Day 2
- 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
Day 3
- 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
Choose Your Preferred Mode
ONLINE TRAINING
- 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 Training Across Various Domains
- Instructor Led Skill Development Program
- Ensure Maximum ROI for Corporates
- 24*7 Learner Assistance and Support
FAQ’s
Why should I take the Big Data On AWS course from Vinsys?
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.
What is Big Data on AWS?
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.
What are the prerequisites of this course?
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
Is this course associated with any certification?
Yes. This course prepares you for the AWS Certified Big Data - Specialty certification.
What is the duration of this course?
This is a 3-day course.
What is the exam pattern for the AWS Certified Big Data - Specialty certification?
The exam is a multiple-choice, multiple-answer test that has to be completed within 170 minutes.
What is the validity of the AWS Certified Big Data - Specialty certification?
The AWS Certified Big Data – Specialty certification needs to be renewed every three years.
What is the exam retake policy for AWS Certifications?
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.
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Reviews
The training was really beneficial. Apart from the interesting AWS curriculum, the trainer’s knowledge and training methods led to the success of this training program.
Louis .MSolution Architect
Great learning! It was a result-oriented session as the trainer stressed too much on practical application of learned concepts which helped me gain the confidence and competence to achieve my certification.
Russell .NSolution Architect
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