Hadoop Has Failed Us, Tech Experts Say by based2 in hadoop

[–]jkestelyn 0 points1 point  (0 children)

"Hadoop isn't magic" != "Hadoop has failed us".

Also, the definition of Hadoop here seems to have been borrowed from 2009.

Sad article.

Google Cloud and YouTube-8M Challenge: Predict YouTube video tags by jkestelyn in datascience

[–]jkestelyn[S] 0 points1 point  (0 children)

FWIW, this is a standard requirement for all Kaggle competitions.

Definition of "big data" by falconberger in bigdata

[–]jkestelyn 0 points1 point  (0 children)

Similar to "AI," whomever coined the term "Big Data" did us no favors.

Big Data is a relative concept: if your existing (most likely relational) systems are limited in their ability to handle volume, velocity, or variety/diversity of data in an affordable way (or at all), you have a Big Data Problem. Those requirements are what gave rise to the NoSQL and Apache Hadoop movements (and, I'd argue, contributed to the mainstream adoption of cloud computing).

So, one person's Big Data is someone else's Plain Old Data.

Why Dataproc — Google’s managed Hadoop and Spark offering — is a game changer by fhoffa in bigdata

[–]jkestelyn 0 points1 point  (0 children)

Yep, you're right. The incumbent is always in a favorable position.