The course is part of these learning paths
The use of Big Data is becoming commonplace within many organizations that are using Big Data solutions to perform large scale queried data analysis with business intelligence toolsets to gain a deeper understanding of data gathered.
Within AWS, this data can be stored, distributed and consumed by various different services, many of which can provide features ideal for Big Data analysis. Typically, these huge data sets often include sensitive information, such as customer details or financial information.
With this in mind, security surrounding this data is of utmost importance, and where sensitive information exists, encryption should be applied against the data.
This course firstly provides an explanation of data encryption and the differences between symmetric and asymmetric cryptography. This provides a good introduction before understanding how AWS implements different encryption mechanisms for many of the services that can be used for Big Data. These services include:
- Amazon S3
- Amazon Athena
- Amazon Elastic MapReduce (EMR)
- Amazon Relational Database Service (RDS)
- Amazon Kinesis Firehose
- Amazon Kinesis Streams
- Amazon Redshift
The course covers encryptions options for data when it is at both at-rest and in-transit and contains for the following lectures:
- Introduction: This lecture introduces the course objectives, topics covered and the instructor
- Overview of Encryption: This lecture explains data encryption and when and why you may need to implement data encryption
- Amazon S3 and Amazon Athena Encryption: This lecture dives into the different encryption mechanisms of S3, from both a server-side and client-side perspective. It also looks at how Amazon Athena can analyze data sets stored on S3 with encryption
- Elastic MapReduce (EMR) Encryption: This lecture focuses on the different methods of encryption when utilizing EMR in conjunction such as EBS and S3. It also looks at application-specific options with Hadoop, Presto, Tez, and Spark
- Relational Database Service (RDS) Encryption: This lecture looks at the encryption within RDS, focusing on its built-in encryption plus Oracle and SQL Server Transparent Data Encryption (TDE) encryption
- Amazon Kinesis Encryption: This lecture looks at both Kinesis Firehose and Kinesis Streams and analyses the encryption of both services.
- Amazon Redshift Encryption: This lecture explains the 4 tiered encryption structure when working with Redshift and KMS. It also explains how to encrypt when working with CloudHSM with Redshift.
- Summary: This lecture highlights the key points from the previous lectures
Resources mentioned throughout this course
Cloud Academy Courses:
- Amazon Web Services: Key Management Services (KMS)
- Working with Amazon Kinesis
- Getting started with AWS CloudHSM
- Configuring HDFS Transparent Encryption in Amazon EMR
- Using SSL to encrypt a connection a Database
- Oracle Native Network Encryption (NNE)
- Encrypt and decrypt Amazon Kinesis Records using AWS KMS
- Configuring Redshift to use CloudHSM
Hello and welcome to this short lecture covering RDS encryption options. RDS allows you to set up a relational database using a number of different engines such as MySQL, Oracle, SQL Server, etc. During the creation of your RDS database instance, you have the opportunity to Enable Encryption at the Configure Advanced Settings screen under Database Options and Enable Encryption.
By enabling your encryption here, you are enabling encryption at rest for your storage, snapshots, read replicas and your back-ups. Keys to manage this encryption can be issued by using KMS. It's not possible to add this level of encryption after your database has been created. It has to be done during its creation.
However, there is a workaround allowing you to encrypt an unencrypted database as follows. You can create a snapshot of your unencrypted database, create an encrypted copy of that snapshot, use that encrypted snapshot to create a new database, and then, finally, your database would then be encrypted.
If the KMS key that was used for the encryption is disabled, then you'll not be able to read or write to your database and RDS will move your database instances into a terminal state where it can no longer be accessed.
At this stage, the only option in retrieving your data is to reinstate the KMS key and then recover your database from a previous back-up. The previous RDS instance in a terminal state will still not be accessible. Read replicas follow the same encryption pattern as defined by the database source. So, for example, if your database had encrypted at rest enabled, then the read replica will also be encrypted. It would not be possible to have an encrypted read replica if the database itself was not encrypted.
In addition to encryption offered by RDS itself at the application level, there are additional platform level encryption mechanisms that could be used for protecting data at rest including Oracle and SQL Server Transparent Data Encryption, known as TDE, and this could be used in conjunction with the method order discussed but it would impact the performance of the database MySQL cryptographic functions and Microsoft Transact-SQL cryptographic functions.
If you want to use the TDE method, then you must first ensure that the database is associated to an option group. Option groups provide default settings for your database and help with management which includes some security features. However, option groups only exist for the following database engines and versions.
Once the database is associated with an option group, you must ensure that the Oracle Transparent Data Encryption option is added to that group. Once this TDE option has been added to the option group, it cannot be removed. TDE can use two different encryption modes, firstly, TDE tablespace encryption which encrypts entire tables and, secondly, TDE column encryption which just encrypts individual elements of the database.
RDS offers the ability to encrypt instances in all regions other than the China Beijing region and across the following Instance Types only. In comparison to EMR, applying encryption at rest for RDS is simplified thanks to the built in application encryption option which EMR does not have.
When looking at Encryption in Transit for communication between your application and RDS, then you can secure this communication using SSL/TLS which is Secure Sockets Layer Transport Layer Security which are both cryptographic protocols.
This is always recommended if you have to abide by specific compliance and governance controls or when the data being sent to RDS is highly sensitive such as containing customer details. The method in which this process is carried out varies dependent on which database type you have. For more information on the implementation of this encryption for the following database engines, take a look at the link shown on the screen.
If you are using Oracle with RDS, then instead of using SSL encryption between a client and the database you could use Oracle's Native Network Encryption, NNE, which will encrypt all connections to and from the database. It is, however, not possible to use both SSL and NNE together for encryption. You must use one or the other if required.
To enable NNE, you must add the NATIVE_NETWORK_ENCRYPTION to the database options group. More information on Oracle NNE can be found here.
That brings us to the end of this lecture. Coming up next I shall be looking at the encryption across big data frameworks starting with Amazon Kinesis Firehose.
Stuart has been working within the IT industry for two decades covering a huge range of topic areas and technologies, from data center and network infrastructure design, to cloud architecture and implementation.
To date, Stuart has created 150+ courses relating to Cloud reaching over 180,000 students, mostly within the AWS category and with a heavy focus on security and compliance.
Stuart is a member of the AWS Community Builders Program for his contributions towards AWS.
He is AWS certified and accredited in addition to being a published author covering topics across the AWS landscape.
In January 2016 Stuart was awarded ‘Expert of the Year Award 2015’ from Experts Exchange for his knowledge share within cloud services to the community.
Stuart enjoys writing about cloud technologies and you will find many of his articles within our blog pages.