Instructor-led (classroom)
Foundational
5 days
English
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, Amazon Quicksight, Amazon Athena and Amazon Kinesis and leverage best practices to design big data environment for security and cost-effectiveness.
This course is intended for:
A 360-degree learning approach that you can adapt to your learning style
Engage and learn more with these live and highly-interactive classes alongside your peers
24/7 Teaching Assistance Keep engaged with integrated teaching
Projects provide you with sample work to show prospective employers.
Real-world projects relevant to what you’re learning throughout the program
A support team focused on helping you succeed alongside a peer community
Overview of Big Data
Big Data Ingestion and Transfer
Big Data Streaming and Amazon Kinesis
Lab 1: Streaming and Processing Apache Server Logs using Amazon Kinesis
Big Data Storage Solutions
Big Data Processing and Analytics
Lab 2: Using Amazon Athena to Analyze Log Data
Apache Hadoop and Amazon EMR
Lab 3: Storing and Querying Data on Amazon DynamoDB
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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
Securing Your Amazon Deployments
Managing Big Data Costs
Visualizing and Orchestrating Big Data
Lab 7: Using TIBCO Spotfire to Visualize Data
Big Data Design Patterns
The AWS Certified Machine Learning - Specialty certification is intended for individuals who perform a development or data science role. It validates a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given business problems
The AWS Certified Cloud Practitioner examination is intended for individuals who have the knowledge and skills necessary to effectively demonstrate an overall understanding of the AWS Cloud, independent of specific technical roles addressed by other AWS Certifications.
Earn an industry-recognized credential from AWS that validates your expertise in AWS data lakes and analytics services. Build credibility and confidence by highlighting your ability to design, build, secure, and maintain analytics solutions on AWS that are efficient, cost-effective, and secure. Show you have breadth and depth in delivering insight from data.
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