Big Data on AWS
4.3 (231 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,240 students enrolled

Big Data on AWS

Learn Big Data on AWS with Hands On Learning
4.3 (231 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
2,240 students enrolled
Created by Arpan Solanki
Last updated 5/2019
English
English [Auto]
Current price: $34.99 Original price: $49.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 11 hours on-demand video
  • 12 articles
  • 2 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Learn Big Data on AWS
  • RedShift, Kinesis Streams, Kinesis Firehose, EMR, Machine Learning, Athena, AWS Glue, AWS IOT, DynamoDB, S3, AWS SnowBall, AWS Lambda
Requirements
  • Basic knowledge of AWS is required including creating EC2 Instances, Security Groups and IAM permissions
Description


Full Length Practice Exam is Included

This course is a study guide for preparing for AWS Certified Big Data Specialty exam. Focus is on hands on learning.

Though this course does not guarantee that you will pass the exam you will learn lot of services and concepts required to pass the exam.

Even if you are not planning to take the exam you will learn a lot from studying the course material.

Cover all the exam domains.

Learn Collection, Storage , Processing , Analysis, Visualization, Data Security


Redshift and Flight Data Analysis

Kinesis Data Streams and Kinesis Firehose

EMR on AWS including Hive, Presto, Hadoop, MapReduce, HDFS, Spark

Athena

Amazon Machine Learning

Amazon QuickSight

AWS Glue

AWS IOT

AWS Lambda

AWS DataPipeline

Amazon DynamoDB

AWS Snowball

S3 for BigData

Amazon Elasticsearch

SQS

Who this course is for:
  • Learn Big Data on AWS
Course content
Expand all 162 lectures 11:31:53
+ RedShift
25 lectures 01:32:06
Cost of RedShift and Node Types
04:08
Creating RedShift Cluster
06:20
Connecting to Cluster using Query Editor
03:26
Queries
01:16
Connecting to Cluster using SQLWorkBenchJ
04:47
COPY Command
03:48
COPY Command PART
02:45
Splitting Files
02:16
Verifying Data
02:24
Create Snapshot and Delete Cluster
01:10
Restore from Snapshot
02:22
Sharing Snapshot
03:05
Redshift Distribution Styles
07:02
RedShift Users and Groups
05:13
What is WLM?
04:10
WLM Demo
05:53
RedShift Views
05:12
RedShift Compression Types
03:34
Vaccum Process
03:29
RedShift DataTypes
04:26
+ AWS Lambda
4 lectures 20:33
Creating a Lambda Function
04:43
AWS Lambda Settings
05:36
Lambda Triggers - SNS to AWS Lambda
06:31
SNS to AWS Lambda Testing
03:43
+ Kinesis
21 lectures 01:37:40
Introduction
01:46
Architecture
03:00
Benefits of Kinesis Streams
02:45
Use Cases
02:12
Kinesis Create Stream, PutRecord, GetRecord Demo
09:30
Shards, Partition Key, Sequence Numbers
04:44
Shard Scaling
03:00
Kinesis Split Shards
06:47
Merge Shards
02:24
Kinesis Agent
07:26
Kinesis Producer Library Introduction
06:03
KPL Key Terms
05:53
KPL Code Review
07:54
KPL Demo
10:43
KPL Demo Commands
00:10
KCL Introduction
02:27
KCL Architecture
02:32
Checkpointing using KCL
01:31
KCL Demo
04:46
Kinesis Firehose Introduction
02:35
Kinesis Firehose Demo
09:32
+ Amazon Machine Learning
14 lectures 52:33
Introduction
01:23
What is Machine Learning?
05:43
Supervised Learning
04:37
Unsupervised Learning
02:57
Getting familier with our Data using QuickSight
08:48
Create DataSource
08:08
Evaluating Model
05:58
Analysis
04:23
Real Time Prediction
02:31
Batch Prediction
06:17
Prediction Data
00:01
Service Limits
01:11
Deleting Objects
00:30
Exam Tips
00:06
+ EMR
20 lectures 01:23:45
Introduction
01:11
Core Hadoop
03:19
HDFS Overview
03:09
HDFS Read
01:32
HDFS Write
03:20
Write Files to EMRFS Demo
10:08
Map Reduce Introduction
02:06
Map Reduce Example - Word Count
03:45
Map Reduce Demo on EMR
09:15
Hive Introduction
04:22
Hive Demo Part 1
05:44
Hive Demo Part 2
03:47
Hive Queries for Demo
00:28
SerDe Serializer DeSerializer
03:48
Presto Introduction
02:25
Presto Demo
07:16
Hive and DynamoDB
11:10
EMR Architecture
01:38
EMR Cluster Life Cycle
02:15
EMR Autoscaling
03:07
+ Spark On EMR
3 lectures 10:46
Introduction to Spark
02:40
Hadoop vs Spark
05:23
Spark Ecosystem
02:43
+ Athena
5 lectures 18:05
Introduction
01:03
What is Amazon Athena?
03:14
Query S3 Data using Athena
06:34
Athena Partitions
06:32
Athena Queries
00:42
+ S3
3 lectures 12:57
S3 Event Notifications
04:47
S3 Server Side Encryption - Part 1
03:44
S3 Server Side Encryption - Part 2
04:26
+ DataPipeline
2 lectures 14:40
Create DataPipeline
09:26
Componenets of DataPipeline
05:14