AWS Certified Big Data - Specialty

Name: AWS Certified Big Data - Specialty
Rating: 4.4 (7 reviews)

Certificate Exam Preparatory Course

Created byStone River eLearning

Last updated 5/2023

English

What you'll learn

Understand and implement core AWS Big Data services
Design and architect Big Data solutions
Implement data processing and analysis frameworks
Implement data security and compliance
Optimize Big Data solutions
Analyze and visualize Big Data

Course content

6 sections • 37 lectures • 16h 46m total length

Overview9:14
Kinesis Stream Essentials31:36
Firehose Collection27:59
Collect Data with Kinesis Agent37:49
Learn to collect and ingest Apache logs with the Kinesis agent, streaming via a Kinesis data stream to Firehose and storing in S3, using EC2 and IAM roles.
IoT Essentials32:25
Explore AWS IoT essentials, including device shadows, certificates, and secure MQTT pub-sub to manage and scale smart devices for big data analysis.
Rules and the Rule Engine33:53
Explore how the AWS IoT rule engine reacts to device messages on topics like temperature update, using IoT SQL to trigger Lambda, DynamoDB, or alerts.
Collect Sensor Data25:10
SQS Essentials27:08
Discover SQS essentials and how standard and FIFO queues enable decoupled big data pipelines, with at least once delivery, optional order, and lambda-triggered processing.

S3 Essentials27:13
Master the basics of Amazon S3, including buckets, objects, storage classes, and bucket policies. Learn how versioning, encryption, and access controls keep data durable and secure.
Permissions and Encryption24:11
Storage Classes, Lifecycles, and Performance27:51
DynamoDB Essentials25:05
Read and Write Operations34:18
DynamoDB Indexes29:01
Global Tables and Conditional Writes28:12
Streams23:09

EMR Essentials25:25
Use Hue and Hive with EMR18:38
Learn how to use Hue and Hive with an EMR cluster to load CSV data from S3, create Hive tables, and run Hive SQL queries and aggregations.
Spark and EMR16:35
SageMaker Essentials24:11
SageMaker essentials as machine learning as a service that trains models from datasets using Jupyter notebooks, with built-in algorithms, labeling, and scalable notebook environments.
Training with SageMaker Notebooks23:26
Explore training with SageMaker notebooks by building a dataset and deploying models as endpoints. Learn how MNIST k-means training runs in notebooks and exposes a model via an endpoint.
AWS Lambda Essentials28:26
Explore AWS Lambda essentials, a function as a service platform that runs code on triggers from S3, SQS, or Kinesis, enabling scalable ETL, processing, and notifications without server management.
Processing Data with Lambda23:57
Data Pipeline Essentials38:11
Database Migration Essentials34:23
Learn how to migrate data from RDS to DynamoDB using the Database Migration Service; set up replication instance, endpoints, and tasks, and configure permissions, logging, and schema mappings.
Glue Essentials32:20

Requirements

The AWS Certified Big Data - Specialty certification is designed for individuals who have experience working with Big Data on AWS and a background in data analytics and machine learning. Candidates should have a solid understanding of AWS services, architecture, and security, and experience using AWS Big Data services to store, process, and analyze large datasets.

Description

The AWS Certified Big Data - Specialty certification is designed for individuals who perform complex Big Data analyses. The certification requires candidates to demonstrate their ability to design and implement Big Data solutions using AWS services.

The course covers a variety of topics related to Big Data on AWS, including:

1. Collection

2. Storage

3. Processing

4. Analysis

5. Visualization

6. Security

7. Design

The AWS Certified Big Data - Specialty certification is intended for individuals with a background in data analytics and experience using AWS services. The certification is useful for professionals who work with Big Data on AWS and want to demonstrate their expertise in this area.

The AWS Certified Big Data - Specialty course is designed for IT professionals who want to gain expertise in designing and implementing AWS-based big data solutions. The course provides a deep understanding of the core AWS big data services and the best practices for designing scalable, cost-effective, and secure big data solutions.

In this course, you will learn about the key AWS big data services, including Amazon EMR, Amazon Kinesis, Amazon Redshift, and Amazon Athena. You will also gain an understanding of how to leverage AWS services to process, analyze, and visualize large data sets.

The course will cover advanced topics such as designing and deploying scalable, fault-tolerant big data solutions, building data processing pipelines, implementing security and compliance controls, and optimizing performance and cost.

Upon completion of the course, you will have the skills and knowledge to design and implement big data solutions using AWS services. You will also be well-prepared to take the AWS Certified Big Data - Specialty certification exam. This course is suitable for IT professionals, data scientists, and solution architects who want to specialize in big data solutions using AWS services.

Who this course is for:

Data Analysts
Data Engineers
Solution Architects
Data Scientists
Developers
IT Professionals

AWS Certified Big Data - Specialty

What you'll learn

Explore related topics

Course content

Collection8 lectures • 3hr 45min

Storage8 lectures • 3hr 39min

Processing10 lectures • 4hr 26min

Analysis6 lectures • 2hr 45min

Visualization2 lectures • 54min

Security3 lectures • 1hr 19min

Requirements

Description

Who this course is for: