Hadoop Compatible Filesystems
So how did we do with our look at Hadoop Compatible Filesystems this week? Spoiler - not as well as I’d hoped!
In hindsight, picking this as the first technology category to do was a daft idea. Not only have I been trying to work out what I want to achieve with these technology category pages, and the level and information I want to capture, but my journey into Hadoop compatible storage has involved a myriad of rabbit holes from object stores to enterprise scale out storage to in-memory to every technology and its dog having an Hadoop compatible API.
Hadoop Wrap-Up
And so I think our current look into Hadoop is probably drawing to a close. That’s not because we’re run out of technologies to look at and thing to talk about, but because it’s time to move on. We’ll double back to this in the future - I’d like to dig into the major cloud technologies, and into the commercial world of Data Engineering in the future. I’m also hoping we’ll get contributions to help flesh out this information now we have a starting point.
But, let’s summarise where we’ve got to with Hadoop, and pass some comment on ODPi which we looked at yesterday.
The Mid Week News - 17/05/2017
Technologies Hortonworks Hortonworks Apache Solr Spark Streaming Apache Kafka Apache Ignite Apache Flink Hue Apache Zeppelin Apache Knox Apache NiFi MapR-ES Apache Beam Peter
Time for a short diversion from wrapping up our look at Hadoop to catch up on the news…
Hadoop Technology Options
In the last post we looking at why you might want to use Hadoop - today I want to dig into the options for deploying or using Hadoop capabilities. Consider this a companion piece to the list of these options that’s now available on our Hadoop Distributions page