AWS Certified Big Data - Specialty

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Amazon AWS Certification

AWS Certified Big Data Specialty

Big Data on AWS, you will learn about cloud-based Big Data solutions such as Amazon EMR, Amazon Redshift, Amazon Kinesis, and the rest of the AWS Big Data platform. We will show you how to use Amazon EMR to process data using the broad ecosystem of Hadoop tools like Hive and Hue. We will 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 environments for security and cost-effectiveness.
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    • Course Fee:          $1,899 USD 
    • Course Length:       5 Days - Lang: English
    • Course Duration:    9:30 AM to 5:30 PM
    • Delivery Method:    Instructor-led Classroom or Virtual Class
    • Cisco Learning Credit - Not Accepted
  • What is Included
    • 5 Days Instructor-led Training
    • Attend In Classroom or Remote
    • Study kits included
    • Free retake the class upto  2 years
  • Course Outline
    Day 1

    • Overview of Big Data
    • Ingestion, Transfer, and Compression
    • Storage Solutions
    • Storing and Querying Data on DynamoDB
    • Big Data Processing and Amazon Kinesis
    • Introduction to Apache Hadoop and Amazon EMR
    • Using Amazon Elastic MapReduce

    Day 2

    • Hadoop Programming Frameworks
    • Processing Server Logs with Hive on Amazon EMR
    • Processing Chemistry Data Using Hadoop Streaming on Amazon EMR
    • Streamlining Your Amazon EMR Experience with Hue
    • Running Pig Scripts in Hue on Amazon EMR
    • Spark on Amazon EMR
    • Interactively Creating and Querying Tables with Spark and Spark SQL on Amazon EMR
    • Managing Amazon EMR Costs
    • Securing your Amazon EMR Deployments

    Day 3

    • Data Warehouses and Columnar Datastores
    • Amazon Redshift and Big Data
    • Optimizing Your Amazon Redshift Environment
    • Big Data Design Patterns
    • Visualizing and Orchestrating Big Data
    • Using Tibco Spotfire to Visualize Big Data

  • Course Outline

  • Course Demo
      • 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 and Spark SQL on Amazon EMR
      • Choose appropriate AWS data storage options
      • Identify the benefits of using Amazon Kinesis for near real-time big data processing
      • Define data warehousing and columnar database concepts
      • Leverage Amazon Redshift to efficiently store and analyze data
      • Comprehend and manage costs and security for Amazon EMR and Amazon Redshift deployments
      • Identify options for ingesting, transferring, and compressing data
      • Use visualization software to depict data and queries
      • Orchestrate big data workflows using AWS Data Pipeline

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  • The knowledge and skills that students are expected to have before attending this course are:

    Basic computer literacy

    Basic PC operating system navigation skills

    Basic internet usage skills

    Basic IP address knowledge

    There are no formal prerequisites for CCNA certification, but you should have an understanding of the exam topics before taking the exam.

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  • Can I attend online?

    Yes, all of our classes, you can attend online as well as in person.  Candidate will be provided full lab access via Cisco VPN connection to our network.  You will be able to do pretty much exactly the same lab as if you are here in the classroom

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  • US Office - 1810 E. Sahara Ave. Suite 223, NV, 89104, USA
  • Canada Office - 705 Progress Ave. Suite 110, Scarborough, Ontario, M1H 2X1, Canada
  • +1-866-777-0060
Our USA Address:
1810 E. Sahara Ave. Suite 223
Las Vegas, NV, 89104
Hours of Operation:
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Weekends 9am to 4pm
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705 Progress Ave. Suite 110
Toronto, Ontario, M1H 2X1
Hours of Operation:
Mon. to Fri. 9am to 5pm
Weekends 9am to 4pm

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