Monthly Data News (3 Part Series)
Each month, I'll be showcasing some of the great posts, projects and news on all things data from around the internet. Some may be "new news", some may be new to me. In any case, grab a coffee or a tea and have a read of these Data Science and Data Engineering stories.
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What lessons can we learn from old code that becomes unkillable?
Want to create more effective business intelligence dashboards? Follow these 4 dashboard design guidelines to tell better stories with data.
To be a real “full-stack” data scientist, or what many bloggers and employers call a “unicorn,” you’ve to master every step of the data science process.
Demonstrating DynamoDBs high throughput rate, by writing 1 million records in 60 seconds with a single Lambda function.
How to assess and manage a data science vendor.
It is challenging to manage an optimized Amazon Redshift cluster. Scaling the cluster to meet your growing storage and computation needs while maintaining optimised performance is a downright daunting task.
Despite building great solutions, most organisations never adopt their data science solutions. Here are the 5 most common roadblocks your project will face in production, and how to tackle them.
That wraps up the news for this month, if you would prefer to receive this monthly update as an email you can sign up here.
Photo by: Matthew Henry