What’s In Store For Big Data Analytics In 2017

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sales@algoworks.com Toll Free : +1-877-284-1028

What’sIn StoreFor

Analytics

A Year Ago - 2016

The year 2016 was a remarkable year for big data as more and more organizations stored,

processed and extracted value from data of all forms and all sizes.

Now In 2017

2017 will be observing a rise in systems

that support large volumes of both

structured and unstructured data.

Now In 2017

The market will be demanding platforms which could help data custodians govern

and secure big data.

This will empower end users to analyze data.

Now In 2017

The year 2017, will of course be facing some challenges for analytics

practitioners to deal with.

As a reaction to these challenges, the year foresees the arrival of new

technologies and new methods of working in order to mitigate these

challenges.

Big Data Analytics Trends In

BIG DATA ANALYTICS TRENDS IN 2017

Big Data Expansion

With the proliferation of big data, it becomes imperative to keenly

and quickly analyze data in order to gain valuable insight.

There is too much of dark data. And the sad reality of the same

can be seen here

Enterprises must now be aiming to turn their unused terabytes of big

data which is classified intodark data into useable data.

References: https://datumize.com/wp-content/uploads/2016/10/rot-data-dark-data-business-data.jpg

Wider Adoption of Hadoop

Today more and more organizations are adopting the

Hadoop ecosystem.

Hadoop when placed successfully is able to crunch a large amount of data using advanced analytics to

find chunks of valuable information in order to make

profitable decisions.

The year 2017 will observe customers demanding for analytics

on all data.

Platforms which are data and source agnostic will prosper while the ones which are purpose-built

for Hadoop and fail to deploy across a variety of use cases will

drop out.

Exponential Growth of Embedded Analytics

As the standards of governance are

improved and end users are able to

utilize higher quality data

therefore embedded analytics are of great help.

Embedded analytics also help in pointing out insights quickly as

there is no time wasted in requesting reports from external

agents.

The Three Vs. Driving Big Data Investments

Gartner defines big data as the “three Vs” of information

Volume

Velocity

Variety

Therefore, another big data trend this year are these three V’s.

Variety is becoming the single biggest driver of big data

investments.

In 2017, this trend will continue to grow as enterprises are seeking to integrate more sources and focus

on big data.

Schema-free JSON, nested types in other databases (relational and NoSQL), and many data formats

are multiplying and connectors are becoming very important.

Mixed Bag of IoT, Big Data, Cloud and Cybersecurity

The year 2017 will be a conglomeration of data

management technologies which are data preparation, data

analytics, data integration, data quality and much more.

65% organizations are now using Embedded Analytics

30% are considering usingEmbedded Analytics

With more and more dependency on smartphones and other smart

devices inter-connectivity and machine learning will become

quite important and it necessitates the need of protecting these

assets from cyber security threats.

IoT is generating massive volumes of structured and unstructured

data and there is continuous data being deployed on cloud services.

With speedy innovation in storage and managed services of capturing

process, accessing and understanding data poses a

significant challenge.

IDC predicts that big Data and Business Analytics market is growing at a rate of over 11% in 2016,

and a compound annual growth rate of 11.7%through to 2020

Trendy 2017

Tech gurus believe technology trends of predictive analysis, big data and cloud will not only help organizations

to deal with huge amount of data but will also help organizations to address business challenges.

Thank You

Mail us at: sales@algoworks.com

Contact us at: +1-877-284-1028

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http://www.algoworks.com/blog/big-data-analytics-trends-in-2017/

What’s In Store For Big Data Analytics In 2017

Technology