Building Batch Data Analytics Solutions on AWS Course Overview:

This course will teach you how to use Amazon EMR, an enterprise-grade managed service for Apache Spark and Apache Hadoop, to create batch data analytics solutions. You will discover how AWS services like AWS Glue and AWS Lake Formation, as well as open-source initiatives like Apache Hive, Hue, and HBase, are integrated with Amazon EMR. In the framework of Spark and Hadoop, the course covers data ingestion, cataloguing, storage, and processing components. You will gain knowledge on how to support workloads related to machine learning and analytics using EMR Notebooks. Additionally, you will discover how to use best practices for cost management, performance, and security when using Amazon EMR.

After completing Building Batch Data Analytics Solutions on AWS Training, students will be able to

  • Create and implement a batch data analytics solution.
  • Examine and contrast the features and advantages of data lakes, data warehouses, and contemporary data architectures.
  • Determine and use the best methods, such as compression, to maximise data storage Understanding how data processing and storage affect the analysis and visualisation mechanisms required to obtain actionable business insights. Determining the best clusters, auto scaling, and network topology for a given business use case. Selecting and implementing the right options to ingest, transform, and store data.
  • Safeguard data both in transit and at rest; keep an eye on analytics workloads to spot issues and fix them; and use best practices for cost management.

Upcoming Batches

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Start Date End Date

2024-09-16

2024-09-17

2024-09-23

2024-09-24

2024-09-30

2024-10-01

2024-10-07

2024-10-08

2024-10-14

2024-10-15

Building Batch Data Analytics Solutions on AWS Certification Key Features:

  • The Building Batch Data Analytics Solution on AWS course offers several key features, including:
  • Comprehensive Curriculum: The course covers all aspects of Map-Reduce concepts.
  • Hands-On Labs: Participants will have the opportunity to work on real-world scenarios and projects, gaining practical experience with AWS tools and services.
  • Experienced Instructors: The course is taught by industry experts with years of experience in AWS, ensuring high-quality instruction.
  • Flexible Schedule: The course is offered in both online and in-person formats, with options for full-time or part-time study.
  • Certification: Participants will receive a certificate of completion at the end of the course.

Who should attend this Building Batch Data Analytics Solutions on AWS Certification Course?

  • Data Platform engineers
  • Architects and operators who build and manage data pipeline.

Prerequisites for the Course:

  • Participant who has minimum of 1 year experience managing open source data frameworks such Apache Spark, Apache Hadoop, Hive and so on will be benefitted from this course.

    Building Batch Data Analytics Solutions on AWS Course Outline: Download Course Outline

    • Data analytics use cases
    • Using the data pipeline for analytics

    • Using Amazon EMR in analytics solutions
    • Amazon EMR cluster architecture
    • Interactive Demo 1: Launching an Amazon EMR cluster
    • Cost management strategies

    • Storage optimization with Amazon EMR
    • Data ingestion techniques

    • Apache Spark on Amazon EMR use cases
    • Why Apache Spark on Amazon EMR
    • Spark concepts
    • Interactive Demo 2: Connect to an EMR cluster and perform Scala commands using the Spark shell

    • Transformation, processing, and analytics
    • Using notebooks with Amazon EMR
    • Practice Lab 1: Low-latency data analytics using Apache Spark on Amazon EMR

    • Using Amazon EMR with Hive to process batch data
    • Transformation, processing, and analytics
    • Practice Lab 2: Batch data processing using Amazon EMR with Hive
    • Introduction to Apache HBase on Amazon EMR

    • Serverless data processing, transformation, and analytics
    • Using AWS Glue with Amazon EMR workloads
    • Practice Lab 3: Orchestrate data processing in Spark using AWS Step Functions

    • Securing EMR clusters
    • Interactive Demo 3: Client-side encryption with EMRFS
    • Monitoring and troubleshooting Amazon EMR clusters
    • Demo: Reviewing Apache Spark cluster history

    • Batch data analytics use cases
    • Activity: Designing a batch data analytics workflow

    • Modern data architectures

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    Course ID: 20035

    Course Price at

    ₹19900 + 18% GST
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