Skip to main content

SMAC - $1 Trillion Industry By 2020

At least 5-6 lakh people will soon be employed in the space, according to Ganesh Natarajan, CEO, Zensar Technologies

The size of the overall SMAC industry globally will be close to $1 trillion by 2020. From the Indian software exporters’ point of view, it will be $15 billion within the next three years, and over $ 225 Billion by 2020.
Translating that to people it would mean at least 5-6 lakh people employed in this space by that time.
Zensar Technologies has a Digital Enterprise group focusing on digital transformation solutions, where we work with clients in the US, Europe and India to understand what applications can be taken to the Cloud, which is almost 30 per cent of the SMAC opportunity.
The second area is Social Listening involving analysis of information on the social media. Zensar provides a service that will enable our clients, especially those who are interacting with consumers directly and often, like insurance companies, retail banks, etc. on how to improve their marketing initiatives or service quality etc. This service involves a rich interweave of social media monitoring and applying analytics to it to help the client make informed decisions and very often in real time. A lot of marketing analytics is based on what is happening in the social media today. Increasing number of users are the Gen Y, and being digital natives their access to social media and their use of it for any transaction is immense, thus churning out a lot of data all the time. Big Data is about combining intelligence from your own measuring systems with what the world is talking about you.

Comments

Popular posts from this blog

Four Tableau products a quick review and explanation

I want to share you what are the Products most popular.

Total four products. Read the details below.

Tableau desktop-(Business analytics anyone can use) - Tableau  Desktop  is  based  on  breakthrough technology  from  Stanford  University  that  lets  you drag & drop to analyze data. You can connect to  data in a few clicks, then visualize and create interactive dashboards with a few more.

We’ve done years of research to build a system that supports people’s natural  ability  to  think visually. Shift fluidly between views, following your natural train of thought. You’re not stuck in wizards or bogged down writing scripts. You just create beautiful, rich data visualizations.  It's so easy to use that any Excel user can learn it. Get more results for less effort. And it’s 10 –100x faster than existing solutions.

Tableau server
Tableau  Server  is  a  business  intelligence  application  that  provides  browser-based  analytics anyone can use. It’s a rapid-fire alternative to th…

The Sqoop in Hadoop story to process structural data

Why Sqoop you need while working on Hadoop-The Sqoop and its primary reason is to import data from structural data sources such as Oracle/DB2 into HDFS(also called Hadoop file system).
To our readers, I have collected a good video from Edureka which helps you to understand the functionality of Sqoop.

The comparison between Sqoop and Flume

The Sqoop the word came from SQL+Hadoop Sqoop word came from SQL+HADOOP=SQOOP. And Sqoop is a data transfer tool. The main use of Sqoop is to import and export the large amount of data from RDBMS to HDFS and vice versa. List of basic Sqoop commands Codegen- It helps to generate code to interact with database records.Create-hive-table- It helps to Import a table definition into a hiveEval- It helps to evaluateSQL statement and display the resultsExport-It helps to export an HDFS directory into a database tableHelp- It helps to list the available commandsImport- It helps to import a table from a database to HDFSImport-all-tables- It helps to import tables …

The best 5 differences of AWS EMR and Hadoop

With Amazon Elastic MapReduce (Amazon EMR) you can analyze and process vast amounts of data. It does this by distributing the computational work across a cluster of virtual servers running in the Amazon cloud. The cluster is managed using an open-source framework called Hadoop.

Amazon EMR has made enhancements to Hadoop and other open-source applications to work seamlessly with AWS. For example, Hadoop clusters running on Amazon EMR use EC2 instances as virtual Linux servers for the master and slave nodes, Amazon S3 for bulk storage of input and output data, and CloudWatch to monitor cluster performance and raise alarms.

You can also move data into and out of DynamoDB using Amazon EMR and Hive. All of this is orchestrated by Amazon EMR control software that launches and manages the Hadoop cluster. This process is called an Amazon EMR cluster.


What does Hadoop do...

Hadoop uses a distributed processing architecture called MapReduce in which a task is mapped to a set of servers for proce…