AWS Certified Big Data – Specialty Certification

Course

Intro Video

Photo of Fernando Medina Corey

Fernando Medina Corey

Training Architect

Length

20:48:33

Difficulty

Advanced

Course Details

Big data technologies are some of the most exciting and in-demand skills. These tools power large companies such as Google and Facebook and it is no wonder AWS is spending more time and resources developing certifications, and new services to catalyze the move to AWS big data solutions.

This course will provide you with much of the required knowledge needed to be prepared to take the AWS Big Data Specialty Certification. We will cover the different AWS (and non-AWS!) products and services that appear on the exam. Importantly - we will not cover material you should already have a solid understanding of such as AWS Identity and Access Management, and global infrastructure. For those foundational concepts, definitely review the AWS Certified Developer - Associate Level course here on Linux Academy.

Join the Linux Academy community slack for chat here: https://inuxacademy-community-slack.herokuapp.com/ and join the #data channel.

Syllabus

Course Introduction

Getting Started

Course Introduction

00:06:18

Lesson Description:

In this video, you'll get introduced to the AWS Big Data Specialty Certification course. You'll also learn about The Data Dispatch, the interactive diagram component of this course. Finally, you'll review the outline of the projects that will be worked on as this course progresses.

About the Course Author

00:01:10

Lesson Description:

In this video, you'll meet the course author, Fernando, and his adorable puppy, Riley.

About the AWS Big Data Specialty Course Exam

00:03:55

Lesson Description:

In this video, we'll look in more detail about the exam format, the types of material on the exam, and other details about what you can do to effectively prepare for the test.

Course Features and Tools

00:04:44

Lesson Description:

In this video, you will learn about the different features included in this course. You'll also learn how you can generally take advantage of these features in other courses.

Domain 1 - Collection

AWS IoT

IoT Overview

00:04:31

Lesson Description:

In this video, you'll learn some of the basics surrounding IoT within the AWS ecosystem.

IoT Core

00:05:55

Lesson Description:

In this video, you'll learn some of the basics of the AWS IoT Core service.

IoT Thing Registry

00:05:42

Lesson Description:

In this video, you will learn about the IoT Thing Registry. You'll learn how to use it to register IoT things and the reasons you would use it to manage your IoT devices.

IoT Authorization and Authentication

00:08:15

Lesson Description:

In this video, you will learn about the different methods of Authorization and Authentication when using AWS IoT. You will also learn how to create X.509 certificates and then attach them to your IoT devices as well as how to attach policies that grant AWS permissions to those certificates and the corresponding devices.

IoT Message Broker

00:17:01

Lesson Description:

In this video, you will learn how IoT Core handles messages between devices and applications interacting with those devices. Specifically, you will learn how the IoT Message Broker handles messages between IoT topics and subscriptions.

IoT Shadow Service

00:07:39

Lesson Description:

In this video, you will learn about the IoT Shadow Service. You'll learn how the IoT Shadow Service is used to manage the state of devices in an environment with the potential for intermittent connectivity.

IoT Rules Engine

00:06:09

Lesson Description:

In this video, you'll learn how the IoT Rules Engine allows you to create Rules that will take data from different IoT events and send that information over to other AWS services.

IoT Job Service

00:04:51

Lesson Description:

In this video, you will learn about how you can use the IoT Jobs Service to run different processes on IoT devices.

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

00:30:00

AWS Greengrass

Greengrass Overview

00:06:58

Lesson Description:

In this video, you'll take a brief look at the AWS Greengrass service. You'll learn how you can leverage AWS Greengrass in order to take advantage of the compute power of local devices. You'll learn more about the concepts of Greengrass Groups and Greengrass Cores, and how Greengrass enables running local Lambda Functions on your IoT devices.

Kinesis

What is Kinesis?

00:03:50

Lesson Description:

In this video, you'll learn about the different services that fall under the name of "Kinesis". Specifically, you'll learn about different services like Kinesis Data Streams, Kinesis Data Firehose, Kinesis Video Streams, and Kinesis Analytics.

Getting Data Into Kinesis

00:07:32

Lesson Description:

In this video, you'll learn different methods of getting data into Amazon Kinesis Data Streams and Data Firehose. Specifically, you'll learn about the Kinesis Producer Library, Kinesis Agent, Kinesis SDKs, and other ways to send data from AWS services like IoT and CloudWatch.

Kinesis Data Streams

00:11:24

Lesson Description:

In this video, you'll learn about Kinesis Data Streams. You'll look at the different parts of Kinesis Data Streams including the stream itself, shards within the stream, and records in that stream. You will also learn about different methods you can use to batch data more effectively when sending data to Kinesis Data Streams.

Kinesis Data Firehose

00:09:23

Lesson Description:

In this video, you will learn about Kinesis Data Firehose (KDF). Specifically, you'll learn about the concept of records, streams, and batching (both with aggregation and collection). You'll also look at how KDF can transform data using Lambda Functions.

Kinesis Data Firehose Destinations and Creating an Example Delivery Stream

00:22:00

Lesson Description:

In this video, you'll learn about all the Kinesis Data Firehose delivery stream destinations. Specifically, you'll look at how Firehose sends data into destinations like Splunk, Amazon ElasticSearch Service, Redshift, and S3. You will also learn how to create and configure a Firehose delivery stream to deliver data from IoT Core (via an IoT Rule) to S3.

Kinesis Limitations and Pricing

00:09:06

Lesson Description:

In this video, you will learn about the limitations and pricing of the Kinesis Data Streams and Kinesis Data Firehose services. Specifically, you'll learn about the limits and pricing associated with delivery streams, record sizes, and additional features. You'll also learn how to calculate costs related to the services.

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

01:00:00

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

00:30:00

AWS Direct Connect

AWS Direct Connect Essentials

00:05:15

Lesson Description:

In this video, you will learn about the AWS Direct Connect service. You'll see how you could use Direct Connect to get a direct, low-latency connection to an AWS environment from your on-premises environment.

AWS Snowball and AWS Snowmobile

AWS Snowball and Snowmobile Overview

00:02:01

Lesson Description:

In this video, you'll learn the basics of the AWS Snowball and Snowmobile Services. Specifically, you'll learn when it is efficient to transfer data between AWS and your on-premises environment using Snowball or Snowmobile.

AWS Database Migration Service

AWS Database Migration Service Overview

00:06:57

Lesson Description:

In this video, you'll learn about how you can use the AWS Database Migration Service (DMS) to migrate data between different sources and targets. Specifically, you'll learn about the supported sources for AWS DMS. You'll also learn how replication instances and tasks are used to migrate the data and also what sources are currently supported.

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

00:30:00

Domain 2 - Storage

Amazon S3

Import S3 and DynamoDB Content Note

00:01:39

Lesson Description:

In this video, Fernando will give a brief disclaimer about the content covered in the Storage domain of this course. Specifically, that if you've already taken the AWS Certified Developer Course, it may feel slightly redundant for you because many of the concepts you need to know are the same concepts.

S3 Essentials

00:13:36

Lesson Description:

In this video, you'll learn some of the essential concepts surrounding the Amazon S3 service. Specifically, you'll learn about the concepts of S3 Buckets, Folders, and Objects.

Moving Data to S3 with Multipart and Single Operation Uploads

00:01:55

Lesson Description:

In this video, you'll review how you could use both multi-part and single-operation uploads to get data into S3. For more detailed explanations of these concepts, we recommend reviewing the AWS CDA preparation course here on Linux Academy.

S3 Permissions

00:13:56

Lesson Description:

In this video, you'll learn the basics of S3 permissions. Specifically, you'll learn about S3 IAM and Resource-based policies. The resource policies you will learn about include S3 bucket policies and access control lists or ACLs.

Amazon S3 Encryption

00:08:07

Lesson Description:

In this video, you'll learn about different ways you can leverage encryption with S3. Specifically, you will learn about multiple client-side encryption options that AWS allows you to use as well as several "at rest" options for encryption that will enable you to use S3 to manage the encryption of your files.

Storage Classes and Lifecycle Policies

00:11:45

Lesson Description:

In this video, you will learn the basics of S3 Storage Classes and Lifecycle Policies. Specifically, you'll learn about S3 Standard Storage, Infrequent Access Storage, and Reduced Redundancy Storage.

S3 Miscellany

00:04:46

Lesson Description:

In this video, you'll learn how you can use the Data Dispatch to learn about a few other subjects related to S3 that are less prominently featured in the AWS Big Data Exam but can still be useful to know. Specifically, you'll briefly review the concepts of S3 versioning, S3 Static Websites, and S3 events. But this is very much a high-level overview, and it is recommended you review details in another course such as the AWS Certified Developer - Associate Level course if you would like additional knowledge in this area.

S3 Performance

00:04:51

Lesson Description:

In this video, you'll learn about different ways you can optimize the performance of the Amazon S3 Service. Specifically, you'll learn methods of optimizing the performance of mixed request workloads (that include many PUT/DELETE/LIST/GET operations) and how you can also optimize GET intensive workloads. NOTE: There is now no longer any need to randomize object prefixes to achieve faster performance. https://aws.amazon.com/about-aws/whats-new/2018/07/amazon-s3-announces-increased-request-rate-performance/

Amazon DynamoDB

DynamoDB Overview

00:03:39

Lesson Description:

In this lesson, you'll get a basic overview of Amazon DynamoDB and where it fits in with other AWS and non-AWS solutions.

DynamoDB Core Concepts

00:10:23

Lesson Description:

In this video, you'll learn core concepts related to how DynamoDB works. Specifically, you'll learn the concepts of tables, partitions, items, and attributes.

Provisioned Throughput

00:09:40

Lesson Description:

In this video, you'll learn all about DynamoDB provisioned throughput. Specifically, you'll learn about the concepts of read and write capacity and Read and Write Capacity Units (RCUs/WCUs). You'll also learn how these concepts are applied when determining how much capacity to provision to a table.

DynamoDB Read Operations

00:04:26

Lesson Description:

In this video, you'll learn more details about DynamoDB read operations. Specifically, you'll learn the differences between operations such as GetItem, BatchGetItem, Query, and Scan. These will allow you to interact with a DynamoDB table when reading from it more efficiently.

Local and Global Secondary Indexes

00:09:18

Lesson Description:

In this video, you'll learn the basics of DynamoDB Secondary Indexes. Specifically, you'll learn about the concepts of Global and Local Secondary Indexes and how they differ as well as how you might use either. You'll also learn about how attributes are 'projected' to indexes and how capacity is allocated on the indexes.

Common DynamoDB Errors and Limits

00:09:49

Lesson Description:

In this video, you'll learn about a few common errors and limits you may encounter when working with DynamoDB. Specifically, you'll review things like a provisioned capacity exceeded error, and limits like the maximum size of items and attributes. For the latest on DynamoDB error handling, see: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Programming.Errors.html For the latest on DynamoDB limits, see: https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/Limits.html

DynamoDB Global Tables, Atomic Counters, and Conditional Writes

00:05:54

Lesson Description:

In this video, you'll learn about the concepts of DynamoDB Global Tables, Atomic Counters, and Conditional Writes. Specifically, you'll learn how Global tables can be used to distribute data across AWS regions (in addition to Availability Zones in the same region), and how you can use Atomic Counters and Conditional Write to have more nuanced control over how you perform write operations.

DynamoDB Pricing

00:03:38

Lesson Description:

In this video, you'll learn the factors that go into DynamoDB pricing. Specifically, you'll review how the RCU and WCUs, as well as storage sizes, factor into the price alongside other DynamoDB features. Understanding this will help you answer questions related to cost optimization when faced with them in the future.

DynamoDB Streams

00:21:25

Lesson Description:

In this video, you'll learn a few of the basic concepts surrounding DynamoDB Streams. However, you will primarily be doing this by seeing how you can create a stream, which we will be using in this course for our overarching Data Dispatch project for Penguin Outfitters. Git links:https://github.com/linuxacademy/content-aws-bigdata-cert.git Command to clone repo:git clone git@github.com:linuxacademy/content-aws-bigdata-cert.git

DynamoDB and S3 Recap

00:06:18

Lesson Description:

In this video, you'll review a few questions that can help you choose whether or not DynamoDB or S3 would be more appropriate for a given situation. This sort of analysis will come up frequently when determining the best solutions for big data applications, and also when picking the right answer on the Big Data exam!

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

00:30:00

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

01:00:00

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

00:30:00

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

00:30:00

Domain 3 - Processing

Amazon Elastic MapReduce (EMR)

EMR Overview

00:12:31

Lesson Description:

In this video, you'll learn about several important topics to have a broad understanding of EMR. Specifically, you'll learn about the composition of EMR Clusters including the role different EC2 instances can play inside of them and how they interact. You'll also learn how EMR clusters leverage different kinds of storage and use different file systems to operate, including EMRFS and HDFS. Finally, you'll review the key benefits of using EMR and how you can leverage them for your own big data needs.

Configuring and Launching an EMR Cluster

00:13:23

Lesson Description:

In this video, you'll learn how we can configure and launch EMR clusters. Specifically, you'll learn about the difference between transient and long-running clusters. You'll also learn more about the different kinds of big data software you can install on EMR, including Apache Spark. You'll also review a few more configuration options related to the compute power of the EMR cluster and how you'll be able to interact with it using SSH later on. Finally, as the cluster is created, you'll review the different lifecycle stages of an EMR cluster and how they relate to the ways you can use a cluster to process data.

Securing an EMR Cluster

00:08:26

Lesson Description:

In this video, you'll see how you can use exisiting AWS tools such as VPCs and Security Groups to secure your EMR cluster. Specifically, you'll see how you can modify a security group to allow yourself to sign into your EMR cluster using SSH.

Working with PySpark and S3

00:14:39

Lesson Description:

In this video, you'll see how you can use your EMR cluster to interact with data stored in S3. Specifically, you will process CSV data inside of S3 and output it to S3 in a JSON format after processing it to calculate some particular results.

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

01:00:00

Amazon Machine Learning (AML)

Introduction to Amazon Machine Learning (AML)

00:04:27

Lesson Description:

In this video, you'll learn the basics surrounding Amazon Machine Learning and supervised machine learning generally. Specifically, you'll learn about the basics of ML models and the differences between supervised and unsupervised machine learning. You'll also learn the benefits that AML provides you as well as some of the limitations that you might encounter with AML. Note: Amazon Machine Learning has been replaced with SageMaker.

Using AWS Datasources with AML

00:08:02

Lesson Description:

In this video, you will learn how to configure different datasources with Amazon Machine Learning. Specifically, you'll see how you can send input data into AML from S3 or Redshift. You'll also learn about the concepts of observations, attributes, and targets.

Training Machine Learning Models

00:15:22

Lesson Description:

In this video, you'll learn the basics of training machine learning models. Specifically, you'll learn about the three kinds of models that AML supports: binary classification, multiclass classification, and regression. You'll also learn how you can tune these models with hyperparameters.

Amazon SageMaker

Introduction to SageMaker

00:03:45

Lesson Description:

In this video, you'll learn the basics of Amazon SageMaker. In particular, you'll learn how you can use SageMaker to train, build, and deploy machine learning models.

AML vs. Amazon SageMaker

00:02:22

Lesson Description:

In this video, you'll see how Amazon SageMaker and AML compare. Specifically, you'll review how each can be used for machine learning purposes and how SageMaker has some more flexibility in terms of data exploration and analysis.

Lambda

Lambda Overview and Processing

00:23:29

Lesson Description:

In this video, you'll learn how you can use Lambda Functions to process data from DynamoDB streams. Specifically, you'll see how you can create Lambda function packages and configure functions with DynamoDB Stream events triggers. You'll also see how you can log Lambda Function information to CloudWatch.

AWS Data Pipeline

AWS Data Pipeline

00:22:56

Lesson Description:

In this video, you will learn how to use Data Pipeline to move data from one location to another. Specifically, you'll learn the basics of the Data Pipeline service such as Data Nodes and Data Pipeline Definitions. In the process, you'll see how you can create a data pipeline to transfer data from DynamoDB over to S3.

AWS Glue

Introduction to AWS Glue

00:07:25

Lesson Description:

In this video, you'll learn the basic concepts of AWS Glue. Specifically, you'll learn how you could use Glue to manage Extract, Transform, Load (ETL) processes for your data using auto-generated Apache Spark ETL scripts written in Python or Scala for EMR. For more on AWS Glue, see: https://docs.aws.amazon.com/glue/latest/dg/what-is-glue.html

Essential Big Data Tools and Concepts

Overview of Big Data Tooling

00:01:06

Lesson Description:

In this video, you'll get a quick overview of the concepts we'll be covering in this section and the material you will be expected to know for the exam. Specifically, you'll learn about the extent you'll need to understand a variety of big data technologies as well as the general categories those technologies fall within.

Big Data Tools Terminology

00:04:23

Lesson Description:

In this video, you will learn some essential bits of terminology that will frequently come up when describing the purposes of different big data technologies and tools.

Core Big Data Tools

00:09:56

Lesson Description:

In this video, you'll learn about a large set of prominent big data tools that may come up for you on your AWS Big Data Exam. Specifically, you'll learn about tools like Hadoop, HBase, Apache Spark, Spark Streaming, ZooKeeper, and many others! The websites for all the tools are: https://hadoop.apache.org/http://oozie.apache.org/https://pig.apache.org/https://hive.apache.org/https://hbase.apache.org/https://phoenix.apache.org/https://cwiki.apache.org/confluence/display/Hive/HCataloghttps://spark.apache.org/https://livy.incubator.apache.org/https://flink.apache.org/https://spark.apache.org/streaming/https://tez.apache.org/http://sqoop.apache.org/https://zookeeper.apache.org/http://ganglia.info/

Big Data Tools - GUIs and Data Exploration

00:04:48

Lesson Description:

In this video, you will learn about different big data tools related to creating graphical user interfaces to improving the process of interacting with big data tools. You'll also learn about a few tools that make it easier to explore multiple big data tools using already familiar technologies such as SQL. The websites for these technologies are: https://spark.apache.org/sql/https://prestodb.io/http://jupyter.org/hubhttp://jupyter.org/http://gethue.com/http://zeppelin.apache.org/

Machine Learning Tools

00:01:59

Lesson Description:

In this video, you will learn about different big data tools related to machine learning and deep learning. The websites for these technologies are: https://mahout.apache.org/https://mxnet.apache.org/https://www.tensorflow.org/

Domain 4 - Analysis

Elasticsearch

ElasticSearch Overview

00:05:26

Lesson Description:

In this video, you'll learn some of the basics about the Amazon Elasticsearch Service. Specifically, you'll learn about the features and benefits of Elasticsearch and how it compares to traditional RDBMS tools.

Elasticsearch Clusters and Access Policies

00:15:00

Lesson Description:

In this video, you'll learn about Elasticsearch clusters. Specifically, you'll learn about the different components within a cluster and how they interact with one another; including concepts such as worker and leader nodes and other tools like Kibana. You will also learn about several options for controlling access to the Elasticsearch cluster using AWS access policies.

Elasticsearch and VPC

00:02:26

Lesson Description:

In this video, you will learn how you can leverage VPC to add additional security to your ElasticSearch cluster.

Elasticsearch, Kibana, and AWS Lambda

00:15:06

Lesson Description:

In this video, you'll learn how you can use Kibana to interact with your Elasticsearch cluster. You'll also learn how you can continue to build our Data Dispatch project by using AWS Lambda to send data into Elasticsearch.

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

00:30:00

Athena

Amazon Athena Overview

00:11:28

Lesson Description:

In this video, you'll learn how you can use Amazon Athena to interact with data inside of S3. Specifically, you'll learn how you can use Athena to query S3 data. You'll also learn some of the key benefits and integrations of Athena.

Redshift

Introduction to Amazon Redshift

00:15:53

Lesson Description:

In this video, you'll learn several of the basic concepts surrounding Amazon Redshift. Specifically, you'll learn why you might use Redshift and how it compares to other RDBMS tools. You will also learn about the concepts of SQL clients and drivers as well as a few key differences between Redshift and PostgreSQL.

Redshift Cluster Configuration

00:15:30

Lesson Description:

In this video, you'll learn the basics of creating and configuring a Redshift cluster. Specifically, you'll learn how you can specify different kinds of hardware to run your cluster as well as determining how much capacity to provision for your cluster. You will also learn about the concepts of leader nodes and compute nodes and the different responsibilities that fall on each. You will also learn some basics of more low-level concepts inside of compute nodes such as slices, disks, blocks, and zone maps.

Redshift Distribution Styles

00:09:24

Lesson Description:

In this video, you will learn what distribution styles are and how you can set them on your Redshift tables. Specifically, you will learn about three kinds of distribution styles: EVEN, KEY, and ALL. You will also learn when each of these distributions styles are appropriate for your purposes.

Redshift Column Compression

00:08:48

Lesson Description:

In this video, you will learn about different compression encodings on data stored in Redshift and how you can optimize the compression of your data. You will also learn how you can manually set compression on individual columns in the data you ingest into Redshift as well as how you can automatically have Redshift apply the most effective compression algorithms.

Choosing Redshift Sort Keys

00:11:55

Lesson Description:

In this video, you will learn about Redshift sort keys. Specifically, you will learn how you can select Redshift sort keys to optimize your table performance depending on your query patterns. You will learn about different kinds of sort keys including single keys, compound keys, and interleaved keys as well as when they are appropriate.

Loading and Unloading Data with Redshift

00:12:27

Lesson Description:

In this video, you will learn about the Redshift COPY and UNLOAD commands and how they can be used to copy data into Redshift from external sources or unload data into S3. Specifically, you will learn how to structure both kinds of commands and how to provide authorization for Redshift to use these commands. This will also allow you to review how Redshift splits data out into multiple objects based on the number of slices in a node that act on the data.

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

01:00:00

Kinesis Analytics

Kinesis Analytics Overview

00:15:56

Lesson Description:

In this video, you will learn the basic concepts surrounding Kinesis Analytics. Specifically, you will learn about the concepts of inputs, outputs and applicaiton code and how those concepts work together to allow you to query streaming data. You will also see how you could query a live data stream and output the data to S3 using Kinesis Analytics and Kinesis Firehose.

Domain 5 - Visualization

Quicksight

Quicksight Overview

00:13:10

Lesson Description:

In this video, you will learn the basic concepts surrounding Amazon QuickSight. Specifically, you will learn about the concepts of data sources, datasets, visuals, analyses, and dashboards. You will also see how you can create your own dashboards from an uploaded dataset.

Data Visualization Tools

JavaScript Visualization Tools

00:04:58

Lesson Description:

In this video, you will learn about different JavaScript libraries you can use to help create graphical representations of your data. Specifically, we will look at Chart.js, D3.js, and Highcharts.

Hands-on Labs are real live environments that put you in a real scenario to practice what you have learned without any other extra charge or account to manage.

00:30:00

Domain 6 - Security

Access

IAM Basics

00:03:24

Lesson Description:

In this video, you will review some IAM basics that you should already mostly understand. If you feel a need for additional information about Users, Groups, Roles, Policies, and other IAM-related concepts, make sure to check out the AWS Certified Developer - Associate Level preparation course here on Linux Academy.

IAM for Big Data

00:02:37

Lesson Description:

In this video, you will review some of the areas that we have already discussed with IAM and IAM-related concepts in this course. Specifically, how we used IAM to control access to things like our Elasticsearch cluster, how we attached IAM permissions to many services like Lambda and Athena, and many others.

Auditing

CloudTrail Essentials

00:09:51

Lesson Description:

In this video, you will learn about the CloudTrail service and how it can be used to monitor access to your AWS account. Specifically, you will see how you can set up monitoring of different API actions and review them within the CloudTrail logs directly inside of S3 or integrate CloudTrail with CloudWatch for an easier search over log data.

Encryption

Database Encryption

00:03:18

Lesson Description:

In this video, you will review how you can implement database encryption on services like DynamoDB and Redshift.

Course Conclusion

Final Steps

How to Prepare for the Exam

00:03:36

Lesson Description:

In this video, you'll learn a few useful suggestions and resources for how to prepare for the AWS Big Data Specialty exam effectively.

What's Next after the Certification?

00:02:00

Lesson Description:

In this video, you'll learn what you can do next after you take and pass your certification test!

Get Recognized

00:01:01

Lesson Description:

Get Recognized!

AWS Big Data Specialty Certification - Practice Exam

02:00:00