We have been sharing our ideas on where we see the business intelligence market going in 2015, but now we want to share our predictions for the big data market as well. While we will have to wait for 2016 to see how accurate we are, these 7 predictions provide insights into what we see happening in the data ecosystem.

Will cloud, Hadoop, and NoSQL become more of a standard? What new technologies will emerge? How will the big data ecosystem change? See the trends that stand out to us for 2015.

Get the full PDF here.

What trends are you seeing for 2015? You can leave your thoughts here, or tweet us @tableau. We are looking forward to hearing from you!


The problem of 'Big Data' is solved.
First you need to parse obtaining phrases from clauses, for sentences and paragraphs. Next, you calculate Internal statistics, weights; where the weight refers to the frequency that a context phrase occurs in relation to other context phrases.
For instance, there are two sentences:
a) ‘Fire!’
b) ‘In this amazing city of Rome some people sometimes may cry in agony: ‘Fire!’’
Evidently, that the phrase ‘Fire!’ has different importance into both sentences, in regard to extra information in both. This distinction is reflected as the phrase weights: the first has 1, the second – 0.12; the greater weight signifies stronger emotional ‘acuteness’.
Next, you index each word from each phrase by dictionary, annotate it by subtexts.

Great point Llya! One of the many challenges big data brings. I love the idea of weighting!

keep me updated in new version features.

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