Get Started for FREE
Sign up with Facebook Sign up with X
I don't have a Facebook or a X account
 Your new post is loading...
Scoop.it!
An agile approach to overhauling data architecture improves speed, flexibility, and innovation.
Farid Mheir's insight:
WHY IT MATTERS: I agree with those 6 recommendations. 
Scoop.it!
This frequently-updated page contains real-life examples and diagrams from Upsolver customers who are using AWS data lakes. While the Upsolver platform itself is a key component in all of these architectures, we hope even non-customers can learn from these examples when it comes to the use cases, considerations, and design patterns that go into a typical cloud data lake.
Farid Mheir's insight:
WHY IT MATTERS: you don't see this often these days. A useful compilation of data lake reference architectures - of coursed biased by software vendor upsolver and AWS, but still very useful - with links to the original engineering blogs. Bravo!
Scoop.it!
In this article, we’ll present seven of the key best practices you should adhere to when designing, implementing and operationalizing your data lake. These are things that will mostly be automatically implemented if you’re using Upsolver, but if you’re building your data lake ‘manually’ you’ll need to ensure they’re done correctly if you want to get the most value out of your data lake architecture.
Farid Mheir's insight:
WHY IT MATTERS: an obviously biased post form upsolver that nonetheless highlights interesting optimizations that you still need to perform when building data lakes.
Scoop.it!
Data lakes are key to scalable, open data architectures – but they can pose challenges to data engineering teams. Efficient data integration is the difference between a bunch of log files sitting in Amazon S3 or Azure Storage and a high-performance data lake that provides real value to analytics, data science and engineering teams.
Farid Mheir's insight:
WHY IT MATTERS: an article on some of the best practice for cloud data lakes.
Scoop.it!
While CDP vendors may claim to do everything, the fact is they can’t.
Farid Mheir's insight:
WHY IT MATTERS: I like the way RSG bundles solutions in categories that make sense and often are unique in the research landscape (as opposed say to gartner and forrester). Yet their analysis, and this post, highlight that the world of Customer Data Platforms - CDPs - remains confusing at best.
Scoop.it!
We need to be able to fit new concepts and components neatly into existing architecture—to adapt to changes without disruption.
Farid Mheir's insight:
WHY IT MATTERS: a breakdown of common data architectures and a proposal that real-life solutions actually are a combination of many types. Best quote of the post: "The field is rampant with buzzwords – data lake, data lakehouse, data fabric, data mesh, data hub, data as a network. Software vendors quite naturally adopt the buzzwords as part of their marketing approach, sort of making a shift from architecture to marketecture. Unfortunately, each vendor may define the buzzwords differently which adds to the confusion."
Scoop.it!
At first glance, the data fabric and the data mesh concepts sound quite similar. Meshes are often made from a type of fabric, after all, and they are both malleable items that can be lain atop things–in this case, your IT systems that are subject to the ever-growing data crush. But there are fundamental differences to these two approaches, so it’s worth taking some time to learn their differences.
Farid Mheir's insight:
WHY IT MATTERS: a great overview of 2 popular data architectures.
Scoop.it!
12 technology trends that will help shape the future of digital business.
Farid Mheir's insight:
WHY IT MATTERS: this report from gartner review the top 12 buzzword you need to master for your geek xmas cocktail conversations ;-) As often with these, they are very generic and could end up being very difficult to implement. Nevertheless they point in the right direction, globally.
Scoop.it!
Cutting-edge technology gives a glimpse into the future of how things will get made, and what manufacturers must do to stay relevant.
Farid Mheir's insight:
WHY IT MATTERS: factories are being transformed by digital at a rapid pace and this paper provides insights into that transformation, including how technologies are being deployed today.
Scoop.it!
Scott Crouch and his college buddies built Mark43 to help police do their job more efficiently and effectively.
Farid Mheir's insight:
WHY THIS IS IMPORTANT Every industry is being transformed by digital, even those that were not so long ago considered off limit. Great example, the police force, which have systems that date from another era, can now benefit from cheap communication, cloud services, big data and analytics services to deliver mobile police insight and tools using everyday mobile phones and tablets.
|
Curated by Farid Mheir
Get every post weekly in your inbox by registering here: http://fmcs.digital/newsletter-signup/
|
nice