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AWS Certified Data Analytics - Specialty: AWS Certified Data Analytics - Specialty (DAS-C01)

PDFs and exam guides are not so efficient, right? Prepare for your Amazon examination with our training course. The AWS Certified Data Analytics - Specialty course contains a complete batch of videos that will provide you with profound and thorough knowledge related to Amazon certification exam. Pass the Amazon AWS Certified Data Analytics - Specialty test with flying colors.

Rating

4.36

Students

133

Duration

12:15:00 h

Curriculum for AWS Certified Data Analytics - Specialty Certification Video Course

Domain 1: Collection

20 Lectures

Time 02:06:00

Domain 2: Storage

23 Lectures

Time 02:01:00

Domain 3: Processing

26 Lectures

Time 02:19:00

Domain 4: Analysis

23 Lectures

Time 02:33:00

Domain 5: Visualization

5 Lectures

Time 00:38:00

Domain 6: Security

12 Lectures

Time 01:09:00

Everything Else

3 Lectures

Time 00:16:00

Preparing for the Exam

5 Lectures

Time 00:22:00

Appendix: Machine Learning topics for the legacy AWS Certified Big Data exam

7 Lectures

Time 00:51:00

Name of Video	Time
Collection Section Introduction	1:00
Kinesis Data Streams Overview	7:00
Kinesis Producers	9:00
Kinesis Consumers	8:00
Kinesis Enhanced Fan Out	4:00
Kinesis Scaling	5:00
Kinesis Security	1:00
Kinesis Data Firehose	8:00
[Exercise] Kinesis Firehose, Part 1	6:00
[Exercise] Kinesis Firehose, Part 2	7:00
[Exercise] Kinesis Firehose, Part 3	9:00
[Exercise] Kinesis Data Streams	7:00
SQS Overview	7:00
Kinesis Data Streams vs SQS	5:00
IoT Overview	9:00
IoT Components Deep Dive	7:00
Database Migration Service (DMS)	7:00
Direct Connect	4:00
Snowball	6:00
MSK: Managed Streaming for Apache Kafka	9:00

Name of Video	Time
S3 Overview	8:00
S3 Storage Tiers	12:00
S3 Lifecycle Rules	8:00
S3 Versioning	3:00
S3 Cross Region Replication	5:00
S3 ETags	3:00
S3 Performance	6:00
S3 Encryption	8:00
S3 Security	5:00
Glacier & Vault Lock Policies	3:00
S3 & Glacier Select	2:00
DynamoDB Overview	7:00
DynamoDB RCU & WCU	9:00
DynamoDB Partitions	3:00
DynamoDB APIs	9:00
DynamoDB Indexes: LSI & GSI	5:00
DynamoDB DAX	3:00
DynamoDB Streams	2:00
DynamoDB TTL	4:00
DynamoDB Security	1:00
DynamoDB: Storing Large Objects	4:00
[Exercise] DynamoDB	9:00
ElastiCache Overview	2:00

Name of Video	Time
What is AWS Lambda?	5:00
Lambda Integration - Part 1	5:00
Lambda Integration - Part 2	6:00
Lambda Costs, Promises, and Anti-Patterns	4:00
[Exercise] AWS Lambda	8:00
What is Glue? + Partitioning your Data Lake	5:00
Glue, Hive, and ETL	2:00
Glue ETL: Developer Endpoints, Running ETL Jobs with Bookmarks	7:00
Glue Costs and Anti-Patterns	2:00
Elastic MapReduce (EMR) Architecture and Usage	6:00
EMR, AWS integration, and Storage	7:00
EMR Promises; Intro to Hadoop	4:00
Intro to Apache Spark	7:00
Spark Integration with Kinesis and Redshift	4:00
Hive on EMR	8:00
Pig on EMR	2:00
HBase on EMR	4:00
Presto on EMR	3:00
Zeppelin and EMR Notebooks	5:00
Hue, Splunk, and Flume	4:00
S3DistCP and Other Services	5:00
EMR Security and Instance Types	6:00
[Exercise] Elastic MapReduce, Part 1	10:00
[Exercise] Elastic MapReduce, Part 2	11:00
AWS Data Pipeline	5:00
AWS Step Functions	4:00

Name of Video	Time
Intro to Kinesis Analytics	4:00
Kinesis Analytics Costs; RANDOM_CUT_FOREST	2:00
[Exercise] Kinesis Analytics, Part 1	10:00
[Exercise] Kinesis Analytics, Part 2	10:00
Intro to Elasticsearch	9:00
Amazon Elasticsearch Service	7:00
[Exercise] Amazon Elasticsearch Service, Part 1	11:00
[Exercise] Amazon Elasticsearch Service, Part 2	9:00
[Exercise] Amazon Elasticsearch Service, Part 3	6:00
Intro to Athena	5:00
Athena and Glue, Costs, and Security	6:00
[Exercise] AWS Glue and Athena	9:00
Redshift Intro and Architecture	9:00
Redshift Spectrum and Performance Tuning	5:00
Redshift Durability and Scaling	4:00
Redshift Distribution Styles	3:00
Redshift Sort Keys	3:00
Redshift Data Flows and the COPY command	8:00
Redshift Integration / WLM / Vacuum / Anti-Patterns	11:00
Redshift Resizing (elastic vs. classic) and new Redshift features in 2020	4:00
[Exercise] Redshift Spectrum, Pt. 1	8:00
[Exercise] Redshift Spectrum, Pt. 2	6:00
Amazon Relational Database Service (RDS) and Aurora	4:00

Name of Video	Time
Intro to Amazon Quicksight	7:00
Quicksight Pricing and Dashboards; ML Insights	5:00
Choosing Visualization Types	13:00
[Exercise] Amazon Quicksight	10:00
Other Visualization Tools (HighCharts, D3, etc)	3:00

Name of Video	Time
Encryption 101	6:00
S3 Encryption (Reminder)	8:00
KMS Overview	6:00
Cloud HSM Overview	2:00
AWS Services Security Deep Dive (1/3)	6:00
AWS Services Security Deep Dive (2/3)	5:00
AWS Services Security Deep Dive (3/3)	9:00
STS and Cross Account Access	2:00
Identity Federation	10:00
Policies - Advanced	6:00
CloudTrail	6:00
VPC Endpoints	3:00

Name of Video	Time
AWS Services Integrations	11:00
Instance Types for Big Data	3:00
EC2 for Big Data	2:00

Name of Video	Time
Exam Tips	9:00
State of Learning Checkpoint	6:00
Exam Walkthrough and Signup	4:00
Save 50% on your AWS Exam Cost!	2:00
Get an Extra 30 Minutes on your AWS Exam - Non Native English Speakers only	1:00

Name of Video	Time
Machine Learning 101	7:00
Classification Models	6:00
Amazon ML Service	6:00
SageMaker	8:00
Deep Learning 101	10:00
[Exercise] Amazon Machine Learning, Part 1	8:00
[Exercise] Amazon Machine Learning, Part 2	6:00

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AWS Certified Data Analytics - Specialty Study Guide

Study Guide: 557 Pages

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AWS Certified Data Analytics - Specialty Study Guide

Study Guide: 557 Pages

Latest Questions
100% Accurate Answers
Fast Exam Updates

$16.49

$14.99

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