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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: ...

Ideas: How Bigadata Helps HR Teams


Big Data is the buzzword of the year. Every leader — whether they’re managing a small team or are at the helm of a multinational corporation with thousands of employees — is wondering how they can use Big Data to better get to know their people, to create a setting that better suits their needs and, in turn, drive recruitment and retention.

As co-authors of The Decoded Company: Know Your Talent Better Than You Know Your Customers, we’ve spent a lot of time thinking about this exact topic. Here are the top five trends you should be thinking about.

  1.  We are living in a data-abundant environment, and it’s changing everything. Gary Hamel, one of the world’s leading thinkers on the topic of management, has written extensively on the topic of the technology of leadership (or what he more accurately calls the technology of human accomplishment).
  2. He believes — and we tend to agree — that this might be the most important technology humanity has ever created. It gives us extraordinary superpowers to organize people into achieving feats that would be otherwise impossible, particularly from an economic perspective. Consider, for example, that Apple has achieved a market cap of $468.99B with 80,300 full-time employees (from its 2013 Annual report), or almost $6m per head.
  3. The challenge is that the management tools we use every day were designed around the assumption that data is expensive to gather and therefore infrequently available. Today’s reality is very different.
  4. Data is abundant and incredibly cheap to gather, store, process, and analyze. This epic shift has led to radically different business models on one hand, but only incremental management philosophy tinkering on the other.
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