AWS Big Data Security Encryption Cloud Academy

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AWS Big Data Security: Encryption | Cloud Academy
English | Size: 794.39 MB
Genre: eLearning

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

Course Description
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 a 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

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