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Building Batch Data Analytics Solutions on AWS 

In this course, you will learn to build batch data analytics solutions using Amazon EMR, an enterprise-grade Apache Spark and Apache Hadoop managed service. You will learn how Amazon EMR integrates with open-source projects such as Apache Hive, Hue, and HBase, and with AWS services such as AWS Glue and AWS Lake Formation. The course addresses data collection, ingestion, cataloging, storage, and processing components in the context of Spark and Hadoop. You will learn to use EMR Notebooks to support both analytics and machine learning workloads. You will also learn to apply security, performance, and cost management best practices to the operation of Amazon EMR. • Course level: Intermediate • Duration: 1 day

ACTIVITES

This course includes presentations, interactive demos, practice labs, discussions, and class exercises.

COURSE OBJECTIVES

In this course, you will learn to:

  • Compare the features and benefits of data warehouses, data lakes, and modern data architectures
  • Design and implement a batch data analytics solution
  • Identify and apply appropriate techniques, including compression, to optimize data storage
  • Select and deploy appropriate options to ingest, transform, and store data
  • Choose the appropriate instance and node types, clusters, auto scaling, and network topology for a particular business use case
  • Understand how data storage and processing affect the analysis and visualization mechanisms needed to gain actionable business insights
  • Secure data at rest and in transit
  • Monitor analytics workloads to identify and remediate problems
  • Apply cost management best practices

INTENDED AUDIENCE

This course is intended for:

  • Data platform engineers
  • Architects and operators who build and manage data analytics pipelines

PREREQUISITES

Students with a minimum one-year experience managing open-source data frameworks such as Apache Spark or Apache Hadoop will benefit from this course.

We suggest the AWS Hadoop Fundamentals course for those that need a refresher on Apache Hadoop.

We recommend that attendees of this course have:

 

Product
Amazon Web Services
Code
AWS-BBD
Duration
1 Day
Price (baht)
10,800

About the course

COURSE OUTLINE

Module A: Overview of Data Analytics and the Data Pipeline

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

Module 1: Introduction to Amazon EMR

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

Module 2: Data Analytics Pipeline Using Amazon EMR: Ingestion and Storage

  • Storage optimization with Amazon EMR
  • Data ingestion techniques

Module 3: High-Performance Batch Data Analytics Using Apache Spark on Amazon EMR

  • 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

Module 4: Processing and Analyzing Batch Data with Amazon EMR and Apache Hive

  • 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

Module 5: Serverless Data Processing

  • 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

Module 6: Security and Monitoring of Amazon EMR Clusters

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

Module 7: Designing Batch Data Analytics Solutions

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

Module B: Developing Modern Data Architectures on AWS

  • Modern data architectures

Register for Training

Schedule

Start DateEnd DatePriceCode
12/11/202312/15/202320,000AZ-204T00
1/8/20241/12/202420,000AZ-204T00
2/5/20242/9/202420,000AZ-204T00
3/11/20243/15/202420,000AZ-204T00
4/22/20244/26/202420,000AZ-204T00
5/13/20245/17/202420,000AZ-204T00
6/10/20246/14/202420,000AZ-204T00
6/6/20236/9/202316,000AZ-220T00
7/24/20237/27/202316,000AZ-220T00
8/15/20238/18/202316,000AZ-220T00
9/5/20239/8/202316,000AZ-220T00
10/9/202310/12/202316,000AZ-220T00
11/7/202311/10/202316,000AZ-220T00
12/12/202312/15/202316,000AZ-220T00
12/12/202312/15/202316,000AZ-400T00
1/9/20241/12/202416,000AZ-400T00
2/6/20242/9/202416,000AZ-400T00
3/5/20243/8/202416,000AZ-400T00
4/9/20244/12/202416,000AZ-400T00
5/7/20245/10/202416,000AZ-400T00
6/4/20246/7/202416,000AZ-400T00
12/11/202312/15/202320,000AZ-040T00
1/8/20241/12/202420,000AZ-040T00
2/5/20242/9/202420,000AZ-040T00
3/25/20243/29/202420,000AZ-040T00
4/22/20244/26/202420,000AZ-040T00
5/13/20245/17/202420,000AZ-040T00
6/10/20246/14/202420,000AZ-040T00
12/11/202312/14/202316,000AZ-104T00
1/9/20241/12/202416,000AZ-104T00
2/6/20242/9/202416,000AZ-104T00
3/5/20243/8/202416,000AZ-104T00
4/9/20244/12/202416,000AZ-104T00
5/7/20245/10/202416,000AZ-104T00
6/4/20246/7/202416,000AZ-104T00
12/18/202312/21/202316,000AZ-140T00
1/23/20241/26/202416,000AZ-140T00
2/20/20242/23/202416,000AZ-140T00
3/19/20243/22/202416,000AZ-140T00
4/23/20244/26/202416,000AZ-140T00
5/27/20245/30/202416,000AZ-140T00
6/25/20246/28/202416,000AZ-140T00
12/11/202312/14/202316,000AZ-305T00
1/16/20241/19/202416,000AZ-305T00
2/13/20242/16/202416,000AZ-305T00
3/12/20243/15/202416,000AZ-305T00
4/23/20244/26/202416,000AZ-305T00
5/14/20245/17/202416,000AZ-305T00
6/4/20246/7/202416,000AZ-305T00
6/6/20236/9/202316,000AZ-600T00
7/24/20237/27/202316,000AZ-600T00
8/15/20238/18/202316,000AZ-600T00
9/5/20239/8/202316,000AZ-600T00
10/9/202310/12/202316,000AZ-600T00
11/7/202311/10/202316,000AZ-600T00
12/12/202312/15/202316,000AZ-600T00
12/6/202312/8/202312,000AZ-700T00
1/10/20241/12/202412,000AZ-700T00
2/7/20242/9/202412,000AZ-700T00
3/6/20243/8/202412,000AZ-700T00
4/3/20244/5/202412,000AZ-700T00
5/8/20245/10/202412,000AZ-700T00
6/5/20246/7/202412,000AZ-700T00
7/10/20247/12/202412,000AZ-700T00
6/7/20236/9/202312,000AZ-720T00
7/12/20237/14/202312,000AZ-720T00
8/2/20238/4/202312,000AZ-720T00
9/6/20239/8/202312,000AZ-720T00
10/4/202310/6/202312,000AZ-720T00
11/1/202311/3/202312,000AZ-720T00
12/6/202312/8/202312,000AZ-720T00
12/11/202312/14/202316,000AZ-800T00
1/16/20241/19/202416,000AZ-800T00
2/13/20242/16/202416,000AZ-800T00
3/12/20243/15/202416,000AZ-800T00
4/23/20244/26/202416,000AZ-800T00
5/14/20245/17/202416,000AZ-800T00
6/4/20246/7/202416,000AZ-800T00
12/18/202312/21/202316,000AZ-801T00
1/23/20241/26/202416,000AZ-801T00
2/20/20242/23/202416,000AZ-801T00
3/19/20243/22/202416,000AZ-801T00
4/23/20244/26/202416,000AZ-801T00
5/28/20245/31/202416,000AZ-801T00
6/18/20246/21/202416,000AZ-801T00
12/7/202312/7/20234,000AZ-900T00
1/8/20241/8/20244,000AZ-900T00
2/5/20242/5/20244,000AZ-900T00
3/4/20243/4/20244,000AZ-900T00
4/5/20244/5/20244,000AZ-900T00
5/10/20245/10/20244,000AZ-900T00
6/10/20246/10/20244,000AZ-900T00
12/11/202312/14/202316,000AI-102T00
1/16/20241/19/202416,000AI-102T00
2/13/20242/16/202416,000AI-102T00
3/12/20243/15/202416,000AI-102T00
4/9/20244/12/202416,000AI-102T00
5/14/20245/17/202416,000AI-102T00
6/4/20246/7/202416,000AI-102T00
12/8/202312/8/20234,000AI-900T00
1/8/20241/8/20244,000AI-900T00
2/5/20242/5/20244,000AI-900T00
3/4/20243/4/20244,000AI-900T00
4/9/20244/9/20244,000AI-900T00
5/13/20245/13/20244,000AI-900T00
6/10/20246/10/20244,000AI-900T00
12/7/202312/8/20238,000DP-080T00
1/11/20241/12/20248,000DP-080T00
2/5/20242/6/20248,000DP-080T00
3/4/20243/5/20248,000DP-080T00
4/10/20244/11/20248,000DP-080T00
5/13/20245/14/20248,000DP-080T00
6/6/20246/7/20248,000DP-080T00
12/6/202312/8/202312,000DP-100T01
1/10/20241/12/202412,000DP-100T01
2/7/20242/9/202412,000DP-100T01
3/6/20243/8/202412,000DP-100T01
4/3/20244/5/202412,000DP-100T01
5/8/20245/10/202412,000DP-100T01
6/5/20246/7/202412,000DP-100T01
12/18/202312/21/202316,000DP-300T00
1/23/20241/26/202416,000DP-300T00
2/20/20242/23/202416,000DP-300T00
3/19/20243/22/202416,000DP-300T00
4/23/20244/26/202416,000DP-300T00
5/14/20245/17/202416,000DP-300T00
6/18/20246/21/202416,000DP-300T00
12/18/202312/21/202316,000DP-420T00
1/23/20241/26/202416,000DP-420T00
2/20/20242/23/202416,000DP-420T00
3/19/20243/22/202416,000DP-420T00
4/23/20244/26/202416,000DP-420T00
5/14/20245/17/202416,000DP-420T00
6/18/20246/21/202416,000DP-420T00
12/25/202312/28/202316,000DP-500T00
1/23/20241/26/202416,000DP-500T00
2/20/20242/23/202416,000DP-500T00
3/19/20243/22/202416,000DP-500T00
4/23/20244/26/202416,000DP-500T00
5/28/20245/31/202416,000DP-500T00
6/25/20246/28/202416,000DP-500T00
6/12/20236/16/202320,000MD-100T00
7/24/20237/27/202320,000MD-100T00
8/7/20238/11/202320,000MD-100T00
9/11/20239/15/202320,000MD-100T00
10/2/202310/6/202320,000MD-100T00
11/13/202311/17/202320,000MD-100T00
12/18/202312/22/202320,000MD-100T00
6/19/20236/23/202320,000MD-101T00
7/10/20237/14/202320,000MD-101T00
8/21/20238/25/202320,000MD-101T00
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10/16/202310/20/202320,000MD-101T00
11/20/202311/24/202320,000MD-101T00
12/18/202312/22/202320,000MD-101T00
12/25/202312/29/202320,000MD-102T00
1/22/20241/26/202420,000MD-102T00
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3/25/20243/29/202420,000MD-102T00
4/22/20244/26/202420,000MD-102T00
5/27/20245/31/202420,000MD-102T00
6/24/20246/28/202420,000MD-102T00
12/25/202312/29/202320,000MS-100T00
7/3/20237/7/202320,000MS-100T00
8/7/20238/11/202320,000MS-100T00
9/4/20239/8/202320,000MS-100T00
10/2/202310/6/202320,000MS-100T00
11/6/202311/10/202320,000MS-100T00
12/18/202312/22/202320,000MS-100T00
6/19/20236/23/202320,000MS-101T00
7/10/20237/14/202320,000MS-101T00
8/21/20238/25/202320,000MS-101T00
9/18/20239/22/202320,000MS-101T00
10/16/202310/20/202320,000MS-101T00
11/20/202311/24/202320,000MS-101T00
12/18/202312/22/202320,000MS-101T00
12/25/202312/29/202320,000MS-102T00
1/22/20241/26/202420,000MS-102T00
2/19/20242/23/202420,000MS-102T00
3/25/20243/29/202420,000MS-102T00
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5/27/20245/31/202420,000MS-102T00
6/24/20246/28/202420,000MS-102T00
12/11/202312/15/202320,000MS-203T00
1/15/20241/19/202420,000MS-203T00
2/12/20242/16/202420,000MS-203T00
3/11/20243/15/202420,000MS-203T00
4/22/20244/26/202420,000MS-203T00
5/13/20245/17/202420,000MS-203T00
6/10/20246/14/202420,000MS-203T00
6/21/20236/23/202320,000MS-220T00
7/19/20237/21/202320,000MS-220T00
8/23/20238/25/202320,000MS-220T00
9/20/20239/22/202320,000MS-220T00
10/25/202310/27/202320,000MS-220T00
11/22/202311/24/202320,000MS-220T00
12/20/202312/22/202320,000MS-220T00
12/12/202312/15/202316,000MS-600T00
1/9/20241/12/202416,000MS-600T00
2/6/20242/9/202416,000MS-600T00
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12/11/202312/14/202316,000MS-700T00
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6/14/20236/16/202312,000MS-720T00
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6/26/20236/28/202312,000MS-740T00
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12/11/202312/15/202320,00055354A
1/15/20241/19/202420,00055354A
2/12/20242/16/202420,00055354A
3/18/20243/22/202420,00055354A
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6/10/20246/14/202420,00055354A
12/11/202312/14/202316,000AZ-500T00
1/16/20241/19/202416,000AZ-500T00
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2/21/20242/23/202412,000PL-600T00
3/11/20243/13/202412,000PL-600T00
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7/17/20237/21/202362,0006639
9/25/20239/29/202362,0006639
11/27/202312/1/202362,0006639
7/17/20237/20/202352,000DP0119
10/9/202310/12/202352,000DP0119
7/17/20237/21/202362,0007956
9/18/20239/22/202362,0007956
11/20/202311/24/202362,0007956
6/12/20236/16/202362,0008256
8/7/20238/11/202362,0008256
10/16/202310/20/202362,0008256
12/11/202312/15/202362,0008256
6/12/20236/16/202362,0008296
9/4/20239/8/202362,0008296
12/11/202312/15/202362,0008296
6/19/20236/23/202362,0008726
7/17/20237/21/202362,0008726
8/21/20238/25/202362,0008726
9/18/20239/22/202362,0008726
10/16/202310/20/202362,0008726
11/20/202311/24/202362,0008726
12/11/202312/15/202362,0008726
6/26/20236/30/202362,0009005
7/17/20237/21/202362,0009005
8/28/20239/1/202362,0009005
9/25/20239/29/202362,0009005
10/30/202311/3/202362,0009005
11/27/202312/1/202362,0009005
12/18/202312/22/202362,0009005
6/7/20236/9/202336,000TMAOCP
7/12/20237/14/202336,000TMAOCP
8/2/20238/4/202336,000TMAOCP
9/25/20239/27/202336,000TMAOCP
10/10/202310/12/202336,000TMAOCP
11/1/202311/3/202336,000TMAOCP
12/6/202312/8/202336,000TMAOCP
6/14/20236/16/202336,000TMDSCP20
7/19/20237/21/202336,000TMDSCP20
8/2/20238/4/202336,000TMDSCP20
9/6/20239/8/202336,000TMDSCP20
10/10/202310/12/202336,000TMDSCP20
11/1/202311/3/202336,000TMDSCP20
12/6/202312/8/202336,000TMDSCP20
6/12/20236/14/202336,000TMDDCP
7/24/20237/26/202336,000TMDDCP
8/21/20238/23/202336,000TMDDCP
9/18/20239/20/202336,000TMDDCP
10/24/202310/26/202336,000TMDDCP
11/20/202311/22/202336,000TMDDCP
12/18/202312/20/202336,000TMDDCP
7/24/20237/26/202325,000CT-ITF+
12/6/202312/8/202325,000CT-ITF+
7/10/20237/14/202348,000CT01-Network+
8/2/20238/4/202339,000CT02-Network+
12/13/202312/15/202339,000CT02-Network+
10/30/202311/3/202348,000CT01-Security+
11/6/202311/10/202348,000CT01-Security+
6/7/20236/9/202339,000CT02-Security+
8/16/20238/18/202339,000CT02-Security+
10/9/202310/11/202339,000CT02-Security+
12/6/202312/8/202339,000CT02-Security+
9/25/20239/29/202345,000CT-Cloud+
10/2/202310/6/202345,000CT-Server+
11/13/202311/17/202348,000CT01-CySA+
8/2/20238/4/202339,000CT02-CySA+
11/1/202311/3/202339,000CT02-CySA+
7/17/20237/21/202348,000CT-PenTest+
12/11/202312/15/202348,000CT-PenTest+
10/2/202310/6/202354,000CT-CASP+
7/24/20237/26/202328,000CT-Cloud Essentials+
11/1/202311/3/202328,000CT-Cloud Essentials+
6/7/20236/9/202345,000CT-Project+
9/4/20239/6/202345,000CT-Project+
6/21/20236/23/202322,000ITIL-V4
7/12/20237/14/202322,000ITIL-V4
6/21/20236/23/202348,500ITIL-V4+Exam
7/12/20237/14/202348,500ITIL-V4+Exam
10/16/202310/20/202337,950RH124
11/6/202311/10/202337,950RH124
12/18/202312/22/202337,950RH124
6/19/20236/23/202347,450RH134
8/28/20239/1/202347,450RH134
9/25/20239/29/202347,450RH134
10/30/202311/3/202347,450RH134
11/27/202312/1/202347,450RH134
12/25/202312/29/202347,450RH134
6/19/20236/23/202357,530RH135
8/28/20239/1/202357,530RH135
9/25/20239/29/202357,530RH135
10/30/202311/3/202357,530RH135
11/27/202312/1/202357,530RH135
12/25/202312/29/202357,530RH135
8/15/20238/18/202360,960RH294
9/11/20239/14/202360,960RH294
10/24/202310/27/202360,960RH294
11/20/202311/23/202360,960RH294
12/12/202312/15/202360,960RH294
8/15/20238/18/202371,040RH295
9/11/20239/14/202371,040RH295
10/24/202310/27/202371,040RH295
11/20/202311/23/202371,040RH295
12/12/202312/15/202371,040RH295
11/6/202311/9/202360,960DO180
6/28/20236/30/202345,720DO188
10/9/202310/12/202345,720DO280
12/12/202312/15/202345,720DO280
--60,960DO288
6/6/20236/8/20239,500PYTN102
6/19/20236/21/20237,500PYTN103
6/26/20236/30/202319,900PYTN104
7/10/20237/14/202335,000PMP7
11/27/202312/1/202335,000PMP7
8/18/20238/18/20234,000AI-050T00
9/15/20239/15/20234,000AI-050T00
10/20/202310/20/20234,000AI-050T00
11/17/202311/17/20234,000AI-050T00
12/15/202312/15/20234,000AI-050T00
8/18/20238/18/20234,000DP-601T00
9/15/20239/15/20234,000DP-601T00
10/20/202310/20/20234,000DP-601T00
11/17/202311/17/20234,000DP-601T00
12/15/202312/15/20234,000DP-601T00
8/15/20238/16/20234,000IC-002T00
9/18/20239/19/20234,000IC-002T00
10/19/202310/20/20234,000IC-002T00
11/16/202311/17/20234,000IC-002T00
12/7/202312/8/20234,000IC-002T00
8/21/20238/24/202316,000DP-203T00

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