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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: ...
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Microsoft HDInsight for Hadoop Cluster

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HDInsight is Microsoft's implementation of a Big Data solution with Apache Hadoop at its core. HDInsight is 100 percent compatible with Apache Hadoop and is built on open source components in conjunction with Hortonworks, a company focused toward getting Hadoop adopted on the Windows platform. HDInsight Microsoft Initiate Basically, Microsoft has taken the open source Hadoop project, added the functionalities needed to make it compatible with Windows (because Hadoop is based on Linux), and submitted the project back to the community.  All of the components are retested in typical scenarios to ensure that they work together correctly and that there are no versioning or compatibility issues. Features Microsoft's Hadoop-based distribution brings the robustness, manageability, and simplicity of Windows to the Hadoop environment.  The focus is on hardening security through integration with Active Directory, thus making it enterprise ready, simplifying manageability through in...
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