xREL.v3

.:PROUDLY PRESENTS:.
Cloud Academy AWS Big Data Security Encryption
Release Date.: 04-09-2019
Type.: Bookware
Disks.: 57x15mb
Link.: https://cloudacademy.com

Release Notes

Resources mentioned throughout this course:
Cloud Academy Courses:
Amazon Web Services: Key Management Services (KMS)
Working with Amazon Kinesis
Getting started with AWS CloudHSM

AWS Resources:
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

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 it's 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

Greetings fly out to:

Kodemusen, KoseBamsen

STM is back.
For all the ppl we worked with
in the past. We salute you.

NFO by NiMiTech
Updated: 09/09/2002