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Step-by-Step Guide to Creating an AWS RDS Database Instance

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 Amazon Relational Database Service (AWS RDS) makes it easy to set up, operate, and scale a relational database in the cloud. Instead of managing servers, patching OS, and handling backups manually, AWS RDS takes care of the heavy lifting so you can focus on building applications and data pipelines. In this blog, we’ll walk through how to create an AWS RDS instance , key configuration choices, and best practices you should follow in real-world projects. What is AWS RDS? AWS RDS is a managed database service that supports popular relational engines such as: Amazon Aurora (MySQL / PostgreSQL compatible) MySQL PostgreSQL MariaDB Oracle SQL Server With RDS, AWS manages: Database provisioning Automated backups Software patching High availability (Multi-AZ) Monitoring and scaling Prerequisites Before creating an RDS instance, make sure you have: An active AWS account Proper IAM permissions (RDS, EC2, VPC) A basic understanding of: ...

AWS to Understand EC2 Security

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Amazon Elastic Computing Cloud, you can call it EC2. Here're EC2 top security features and shared frequently asked interview questions on EC2. Based on your requirement, you can increase or decrease computing power. Before you enable the Autoscaling feature, you need to know its impacts since it's the Administrator's responsibility. AWS to Understand EC2 Security AWS EC2 Making your existing hardware to the requirement always is not so easy. So EC2 service in AWS helps you to allocate computing power according to your needs.  AWS EC2 instance acts as your physical server. It has a memory. You can increase the instance size in terms of CPU, Memory, Storage, and GPU.  EC2 auto scaling is a property, where it automatically increase your computing power. Security Features in EC2 Virtual Private Cloud. The responsibility of Virtual Private Cloud is to safeguard each instance separately. That means, you cannot access other instances, which are already created by other organ...

12 Top Hadoop Security Interview Questions

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Here are the interview questions on Hadoop security. Useful to learn for your data science project and for interviews.  12  Hadoop Security Interview Questions How does Hadoop security work? How do you enforce access control to your data? How can you control who is authorized to access, modify, and stop Hadoop MapReduce jobs? How do you get your (insert application here) to integrate with Hadoop security controls? How do you enforce authentication for users on all types of Hadoop clients (for example, web consoles and processes)? How can you ensure that rogue services don't impersonate real services (for example, rogue Task Trackers and tasks, unauthorized processes presenting block IDs to Data Nodes to get access to data blocks, and so on)? Can you tie in your organization's Lightweight Directory Access Protocol (LDAP) directory and user groups to Hadoop's permissions structure? Can you encrypt data in transit in Hadoop? Can your data be encrypted at rest on HDFS? How can ...

Here's Quick Guide on Hadoop Security

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Here is a topic of security and tools in Hadoop. These are security things that everyone needs to take care of while working with the Hadoop cluster. Hadoop Security Security We live in a very insecure world. For instance, your home's front door to all-important virtual keys, your passwords, everything needs to be secured. In Big data systems, where humongous amounts of data are processed, transformed, and stored. So security you need for the data . Imagine if your company spent a couple of million dollars installing a Hadoop cluster to gather and analyze your customers' spending habits for a product category using a Big Data solution. Here lack of data security leads to customer apprehension. Security Concerns Because that solution was not secure, your competitor got access to that data, and your sales dropped 20% for that product category. How did the system allow unauthorized access to data? Wasn't there any authentication mechanism in place? Why were there no alerts? Th...