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TOP 5
TRENDS INBIG DATA & ANALYTICS
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
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.
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.
Enterprises continue their move from Hadoop
Proof of Conceptsto 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 Implementati
on’s Matures!
Enterprises continue their move from Hadoop
Proof of Conceptsto Production
Hadoop Implementati
on’s Matures!
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.
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.
The Competition in BI industry is Heating up
TeqForce offers a revolutionary new approach to business intelligence that allows you to quickly
connect, visualize and share your data witha seamless experience from the PC to the iPad.
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