GB
/
GBP
/
EN_GB

Shaping the future of IT skills

Maximising IT performance through learning

Big Data on AWS - BDAWS

WGAC-AWS-BDAWS

Amazon Web Services

Description

Show Tabs
Introduction

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.

Prerequisites & Audience

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 (AWSE) course or have equivalent experience
  • Basic understanding of data warehousing, relational database systems, and database design
Course Benefits

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
Course Topics
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

Amazon Web Services courses


Deep Learning on AWS - AWSDL
CODE: WGAC-CSC-AWSDL
Exam Readiness: AWS Certified Solutions Architect – Associate - ACSAA-EX
CODE: WGAC-AWS-ACSAA-EX
AWS Technical Essentials - AWSE
CODE: WGAC-AWS-AWSE
Security Engineering on AWS - AWSSO
CODE: WGAC-AWS-AWSSO
AWS Discovery Day - AWSDD
CODE: WGAC-AWS-AWSDD
AWS Cloud Ready Hackathon: Running Cloud Workloads with Kubernetes - AWSHRWK
CODE: WGAC-AWS-AWSHRWK
Exam Readiness: AWS Certified Data Analytics – Specialty - ACDAS-EX
CODE: WGAC-AWS-ACDAS-EX
MLOps Engineering on AWS - MLOE
CODE: WGAC-AWS-MLOE
Exam Readiness: AWS Certified Developer - Associate - ACDA-EX
CODE: WGAC-AWS-ACDA-EX
Advanced Architecting on AWS - AAAWS
CODE: WGAC-AWS-AAAWS
Migrating to AWS - AWSM
CODE: WGAC-AWS-AWSM
Big Data on AWS - BDAWS
CODE: WGAC-AWS-BDAWS
Building Data Lakes on AWS - BDLA
CODE: WGAC-AWS-BDLA
Developing on AWS - AWSD
CODE: WGAC-AWS-AWSD
Advanced Architecting on AWS - AWSAA
CODE: WGAC-AWS-AWSAA
Exam Readiness: AWS Certified DevOps Engineer – Professional - ACDOEP-EX
CODE: WGAC-AWS-ACDOEP-EX
Planning and Designing Databases on AWS - PD-DB
CODE: WGAC-AWS-PD-DB
AWS Well-Architected Best Practices - WABP
CODE: WGAC-AWS-WABP
AWS Discovery Day (3 hours) - AWSDD3H
CODE: WGAC-AWS-AWSDD3H
AWS Cloud Practitioner Essentials - CP-ESS
CODE: WGAC-AWS-CP-ESS
Architecting on AWS - AWSA
CODE: WGAC-AWS-AWSA
Data Warehousing on AWS - DWAWS
CODE: WGAC-AWS-DWAWS
Exam Readiness Intensive Workshop: AWS Certified Solutions Architect – Associate - ACSAA-EXIW
CODE: WGAC-AWS-ACSAA-EXIW
DevOps Engineering on AWS - AWSDEVOPS
CODE: WGAC-AWS-AWSDEVOPS
Running Containers on Amazon Elastic Kubernetes Service - RCAEKS
CODE: WGAC-AWS-RCAEKS
AWS Cloud Ready Hackathon: Containers, Kubernetes CI & CD - AWSHCKC
CODE: WGAC-AWS-AWSHCKC
Exam Readiness: AWS Certified Security - Specialty - ACSS-EX
CODE: WGAC-AWS-ACSS-EX
AWS Security Governance at Scale - SGS
CODE: WGAC-AWS-SGS
Exam Readiness: AWS Certified Advanced Networking - Specialty - ACANS-EX
CODE: WGAC-AWS-ACANS-EX
Advanced Developing on AWS - ADV-DEV
CODE: WGAC-AWS-ADV-DEV
AWS Cloud Essentials for Business Leaders - CEBL
CODE: WGAC-AWS-CEBL
AWS Cloud Essentials for Business Leaders – Financial Services - CEBL-FS
CODE: WGAC-AWS-CEBL-FS
AWS Security Essentials - SEC-ESS
CODE: WGAC-AWS-SEC-ESS
Practical Data Science with Amazon SageMaker - PDSASM
CODE: WGAC-AWS-PDSASM
AWS Cloud Ready Hackathon: Coding and Testing on Linux - AWSHCTL
CODE: WGAC-AWS-AWSHCTL
Building Data Analytics Solutions Using Amazon Redshift - BDASAR
CODE: WGAC-AWS-BDASAR
Exam Readiness: AWS Certified Database – Specialty - ACDS-EX
CODE: WGAC-AWS-ACDS-EX
Systems Operations on AWS - AWSSYS
CODE: WGAC-AWS-AWSSYS
Architecting on AWS Accelerator - ARCH-AX
CODE: WGAC-AWS-ARCH-AX
Exam Readiness: AWS Certified Solutions Architect – Professional - ACSAP-EX
CODE: WGAC-AWS-ACSAP-EX
Machine Learning Pipeline on AWS - ML-PIPE
CODE: WGAC-AWS-ML-PIPE
We use cookies to understand how you use our site and to improve your experience. To learn more, click here. Read our revised Privacy Policy and Terms and Conditions.