With 6 months of
2013 behind us, here is a look back at some of the key trends which emerged in
Big Data and Hadoop ecosystem in first half of the year. The infographic below
is available in poster size for printing and can be downloaded by clicking on
the image.
1- MapReduce programs
in more languages
With the wider buzz
around Hadoop and MapReduce, programmers from various languages and platforms
are incorporating MapReduce in the programming paradigm. Beyond Java, Scala,
C/C++, there is wider interest in Python, Lua
and other languages as well.
2- Developer
friendliness
Developers have
cribbed quite a few things about this ecosystem. Windows non-compatibility was
one of major rues. There has been some respite for them. SQL on Hadoop also
gave them an excuse to not learn
HQL, Pig and JAQL.
3- Social use cases
emerge
Corporates have been
using Hadoop for varied use cases including games, sentiment analysis. However,
there has been emergence of better use cases like tracking human traffickers, bitcoin
abusers, sewage management and other criminal intents.
4- VCs remain
skeptical in rest of the world
While VCs remain
upbeat about Hadoop and Big Data in USA, the rest of the world continues to show wait and watch before boarding the bus.
There is wider skepticism regarding revenues which is probably characteristic
in non-US VCs. The only show-cases yet are traditional analytics renamed as Big
data firms or global subsidiaries of US start-ups.
5- OSS trend continues to dominate
While EMC may have
bucked the trend for Open source, the fad and business
model still holds good ground around OSS.
Hortonworks
leads the pack with contributions coming in from Linkedin, Netflix also in Apache fold. Cloudera, MapR and IBM also continued their OSS patronage.
6- Demand v/s supply
There is an oft-quoted
gap in demand and supply of Hadoop professionals. Well, the truth extends a bit
more. There is a gap between Big Data interest, PoC, actual deliveries and
business users’ education. Many Hadoop professionals in the technology services
world remain unallocated waiting for deals to be signed in 2nd half of 2013- nothing akin to Java demand.
The fancied product world holds another promise for another beta delivery.
7- Confused state of
Analysts
From ‘trough of
disillusionment’ to the most exciting technology wave of this decade, the
research analysts have been slightly muddled up in the opinion. It is no secret that
research firms continued to get tonnes of queries on Hadoop but still there is
no unanimous view on the ecosystem.
8- Anything unstructured becomes Big Data
Reaping on the popularity of the ‘Big Data’ term and lack of
clear, concise definition, everyone and anyone has jumped on the bandwagon. It
is not a surprise that traditional analytics firm have rechristened their
offerings- for the heck of it or rather, for the buck of it.
9- Big Data enters
popular lexicon
Courtesy NSA, Big
Data has entered the popular lexicon. Reporting on Hadoop and Big Data
technologies is not restricted to the likes of Silicon Angle, InformationWeek now. It is now
being reported by Salon
et al. Don’t be surprised if Big Data is Time
person of the year.
10- SQL, SQL
everywhere; not a line of code to write
We have heard so
much of this during this year that you almost feel amazed by the spike in
interest in SQL on Hadoop. And as one
portal reported, “The hot new technology in Big Data is decades old: SQL”
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