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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