As the poster child for _Big Data_, Hadoop has been both a blessing and curse
for enterprise big data adoption. Powerful but complex, many enterprises have
preferred to wait for something easier to come along before rolling out a big
The wait is over. Hadoop has been progressing at such a torrid pace, with
significant ease-of-use enhancements from vendors like Hortonworks and
Cloudera, that Hadoop's learning curve has been cut in half. As I've written
before, enterprises are increasingly shedding their big data training wheels,
moving from basic ETL workloads to the advanced data analytics Hadoop was
meant to tackle.
The trick to big data for enterprises using Hadoop, it turns out, is to start
## Baby Elephants Everywhere
Small? That's not a word typically associated with Hadoop. And yet it
perfectly matches the reality of big data. For all we talk about petabytes and
zottabytes, most enterprises don't have petabyte-scale problems. At least,
they don't have problems of that scale that they know how to manage today.
Rather, as this NewVantage Partners survey suggests, enterprises are primarily
concerned with mastering new types of unstructured data. Gartner confirms
this, noting that "Many organizations find the variety ...