This document discusses the top 5 trends in big data and analytics for 2016. It notes that in 2015, big data became more mainstream as companies realized the importance of all types of data for decision making. Going forward, tools that support unstructured and huge volumes of data will continue growing and integrate better with existing IT systems. The trends discussed are: increased adoption of NoSQL databases in enterprises; rapid growth of Apache Spark usage; continued movement of Hadoop implementations from proofs-of-concept to production; maturation of Hadoop implementations; and growth of cloud-based data warehousing with increased competition among vendors.

1. TOP 5
TRENDS IN
BIG DATA &
ANALYTICS

2. 2015 was an interesting one in the area of big data and
analytics. What used to be buzz words in conference and
talk shows became the norm as more companies realized
that data, in all forms and sizes, is critical to making the
best business decisions. Now in 2016, we’ll see continued
growth of tools that support non-relational or unstructured
forms of data as well as huge volumes of data. These
systems will evolve and mature to operate well inside of
enterprise IT systems and standards. This will enable both
business users and data scientists to fully realize the value
of data in all forms. This document will discuss on top 6
big-data trends which will take big-data industry by strong
in 2016.
Introduction

3. The NoSQL
Acceptance In
The Enterprise
In 2015 we witnessed increased adoption of NoSQL
technologies, which are commonly associated with
unstructured data. Going forward, the shift to NoSQL
databases is becoming a leading piece of the Enterprise IT
Landscape, as the benefits of schema-less database
concepts become more pronounced. Gartner’s Magic
Quadrant report 2106, we see the NoSQL companies,
including MongoDB, DataStax, Redis Labs, MarkLogic
and Amazon Web Services (with DynamoDB),
outnumbering the traditional database vendors in
Gartner’s Leaders quadrant of the report.

4. Apache Spark
Leading The
Way
Apache Spark has seen rapid adoption by enterprises across a wide
range of industries. Internet powerhouses such as Netflix, Yahoo, and
eBay have deployed Spark at massive scale, collectively processing
multiple petabytes of data on clusters of over 8,000 nodes. It has
quickly become the largest open source community in big data.

5. Enterprises continue their
move from Hadoop Proof of
Concepts
to Production
In a recent survey of 2,200 Hadoop customers, only 3%
of respondents anticipate they will be doing less with
Hadoop in the next 12 months. 76% of those who
already use Hadoop plan on doing more within the next
3 months and finally, almost half of the companies that
haven’t deployed Hadoop say they will within the next
12 months. We see growing adoption of technologies
such as Cloudera Impala, AtScale, Actian Vector and
Jethro Data that enable the business user’s old friend,
the OLAP cube, for Hadoop – further blurring the lines
behind the “traditional” BI concepts and the world of
“Big Data”
Hadoop
Implementatio
n’s Matures!

6. Enterprises continue their
move from Hadoop Proof of
Concepts
to Production
Hadoop
Implementatio
n’s Matures!

7. Data
Warehousing
Heating up in
Cloud
TeqForce see a major shift in Data Warehousing, Amazon is
leading the way with an on-demand cloud data warehouse called
Redshift. Redshift was AWS’s fastest growing service but it now
has competition from Google with BigQuery, offerings from long
time data warehouse power players such as Microsoft (with Azure
SQL Data Warehouse) and Teradata along with new start-ups such
as Snowflake, winner of Strata + Hadoop World 2015 Startup
Showcase, also gaining adoption in this space. Analysts say 90%
of companies who have adopted Hadoop will also keep their data
warehouses and with these new cloud offerings, those customers
can dynamically scale up or down the amount of storage and
compute resources in the data warehouse relative to the larger
amounts of information stored in their Hadoop data lake.

8. The
Competition in
BI industry is
Heating up
Data analysis is a do-or-die requirement for today's
businesses Revolutionary. That pretty much describes the
data analysis time in which we live. Businesses grapple
with huge quantities and varieties of data on one hand, and
ever-faster expectations for analysis on the other. Open
source tools like JasperSoft BI Suites, Pentaho Business
Analytics helps producing reports from database columns
and is widely getting used in enterprise board meetings.
Tableau & Qlik are leading the way in Data visualization
with both Desktop and server based BI tools.

9. The
Competition in
BI industry is
Heating up

10. TeqForce offers a revolutionary new approach to business
intelligence that allows you to quickly
connect, visualize and share your data with
a seamless experience from the PC to the iPad.
United States Office
42-15 34th Ave. Suite 3J,
Long Island City,
New York 11101
United Kingdom
170A , Horsendane Lane,
Greenford,
LONDON UB68AE
Global Delivery Center
Level 6, PENTAGON P-2,
MAGARPATTA CITY,
PUNE – 411028.
Contact Us:
Locate Us:
Email us: sales@teqforcesolutions.com LinkedIn:https://www.linkedin.com/company
/ teqforce-solutions-pvt.-ltdTwitter: @teqforce
US: +1.347.352.0154
UK: +44.74.3846.5647
Call Us: