Hadoop Adoption and Ecosystem

What is Hadoop?

“Hadoop” refers to the growing ecosystem of open source and commercial software platforms, tools, and maintenance available from the Apache Software Foundation (open source) and several software vendor firms.

Hadoop began its journey by proving its worth as a Spartan but highly scalable data platform for
reporting and analytics in Internet firms and other digital organizations. The journey is now taking
Hadoop into a wider range of industries,

 Hadoop adoption is accelerating.  60% of users surveyed will have Hadoop in production by 2016.

“The high-end relational databases are really expensive in configurations big enough to deal with big data. Data warehouse appliances are almost as expensive. We all need a more economical platform, which is the main reason we’re all considering Hadoop.”

 Hadoop regularly appears as a complementary extension of a data warehouse when warehouse data that doesn’t necessarily require the warehouse is migrated to Hadoop.

Hadoop usage is proliferating across enterprises.

 A growing number of users rely on Hadoop to spur enterprise business and technology innovations.

Benefits of Hadoop

Advanced analytics.

Hadoop supports advanced analytics, based on techniques for data mining,
statistics, complex SQL etc. This includes the exploratory analytics with big data.
 It also includes related disciplines such as
information exploration and discovery and data visualization.

Data warehousing and integration.

Many users feel Hadoop complements a data warehouse well, is
a big data source for analytics , and is a computational platform for transforming data .

Data Scalability.

With Hadoop, users feel they can capture more data than in the past . This
is the perception, whether use cases involve analytics, warehouses, or active data archiving .
Technology and economics intersect because users feel they can achieve extreme scalability
while running on low-cost hardware and software .

New and exotic data types.

Hadoop helps organizations get business value from data that is new to them or previously unmanageable, simply because Hadoop supports widely diverse data and file types. In particular, Hadoop is adept with schema-free data staging  and machine data from
robots, sensors, meters, and other devices .

Business applications.

Hadoop contributes to a number of business applications and activities,
including sentiment analytics , understanding consumer behavior via clickstreams ,
more numerous business insights,  recognition of sales and market opportunities , fraud
detection , and greater ROI for big data .



Important points being summarized from

Hadoop for theEnterprise: Making Data Management Massively Scalable, Agile, Feature-Rich, and Cost-Effective

By Philip Russom

http://www.sas.com/content/dam/SAS/en_us/doc/whitepaper2/tdwi-hadoop-for-enterprise-107708.pdf

updated 10 May 2016