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      • AWS BigData Professional

      AWS BigData Professional

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      Damian Igbe
      Public Cloud
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      Free
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      Description
      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, and Amazon Kinesis, and leverage best practices to design big data environments for security and cost-effectiveness.

      Course Objectives
      This course teaches you how to:

      • 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

       

      Intended Audience
      This course is intended for:

      • Individuals responsible for designing and implementing big data solutions, namely Solutions Architects
      • Data Scientists and Data Analysts interested in learning about big data solutions on AWS

      Prerequisites
      We recommend that attendees of this course have the following prerequisites:

      • Basic familiarity with big data technologies, including Apache Hadoop, MapReduce, HDFS, and SQL/NoSQL querying
      • Students should complete the Big Data Technology Fundamentals web-based training or have equivalent experience
      • Working knowledge of core AWS services and public cloud implementation
      • Students should complete the AWS Technical Essentials course or have equivalent experience
      • Basic understanding of data warehousing, relational database systems, and database design

      Delivery Method
      This course will be delivered through a mix of:

      • Instructor-led Training (ILT)
      • Hands-on Labs

      Hands-On Activity
      This course allows you to test new skills and apply knowledge to your working environment through a variety of practical exercises
      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 Features

      • Lectures 0
      • Quizzes 0
      • Duration 50 hours
      • Skill level All levels
      • Language English
      • Students 2
      • Certificate No
      • Assessments Yes
      Curriculum is empty
      author avatar
      Damian Igbe
      Damian holds a PhD in Computer Science and has decades of experience in Information Technology and Cloud services. Damian holds a couple of certifications including AWS Certified Solutions Architect- Associate, AWS Certified Developer-Associate and AWS Certified SysOp-Associate. He is the founder and CTO of Cloud Technology Experts. When not writing or teaching or consulting, Damian likes running and spending time with the family.

      Students List

      • Damian Igbe
        Damian Igbe
        Learning0%
      • Gbolahan Bakare
        Gbolahan Bakare
        Learning0%

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