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Showing posts with the label MongoDB and HCL on Bigdata

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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: ...

MongoDB and HCL on Bigdata

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MongoDB and HCL Infosystems have announced a global partnership which will allow HCL Infosystems to further broaden its solution offerings in the emerging big data segment by developing services around MongoDB. Commenting on the partnership, Kamal Brar, Vice President APAC, MongoDB, said: "Big Data is more than just addressing increasing volume; organizations need solutions that can manage increasing data variety and velocity. Today, businesses need to quickly ingest, store, and access useful information from massive pools of multi-structured data.This is where MongoDB excels. HCL Infosystems will offer innovative solutions and services for organizations to gain value from their data and make smarter and faster business decisions. Partnering with HCL will further strengthen our footprint globally." Since its inception MongoDB has collaborated with organizations worldwide and now has a thriving global community. Common MongoDB use cases include single view, Internet o ...