M2S Consulting (India) Private Limited
+91 9833354303
#Big Data
“Artificial intelligence, in fact, is obviously an intelligence transmitted by conscious subjects, an intelligence placed in equipment. It has a clear origin, in fact, in the intelligence of the human creators of such equipment,” – Pope Benedict XVI.
​
Big data analytics is the process by which large and varied data sets are evaluated in order to uncover unknown patterns, hidden correlations, customer preferences, market trends, and other information that can aid businesses and organizations make better-informed decisions.
​
While in the mid-1990s, the term “big data” was loosely used to describe the increasing folds of data, its definition was expanded in 2001 by Doug Laney, then an analyst at consultancy Meta Group Inc., who coined the 3V of Big Data - volume, velocity and variety – factors on which big data came to be assessed by.
Top tech companies across the globe are looking for exceptional professionals in the field of Big Data Analytics.
To apply for the any junior or senior positions in this field, one would need the following skills:
Computer programming (R, Python, Java, C++, Ruby, SQL, Hive, SAS, SPSS, MATLAB, Weka, Julia, Scala, etc)
Experience of relational and non-relational database systems or distributed file systems (Mysql, Oracle, DB2, NoSql : Hbase, HDFS, MongoDB, CouchDB, Cassandra, Teradeta, etc)
Knowledge of Computational frameworks (Apache Spark, Apache Storm, Apache Samza, Apache Flink, MapReduce, Hadoop, YARN, etc)
Quantitative Aptitude and Statistics (probability distribution, linear algebra, random variables, hypothesis testing framework)
A thorough understanding of the business model.
Machine learning
Natural language processing
Experience in handling search-based applications
Data mining
Distributed Computing
Since it is very rare to find professionals in the field who have the needed expertise in technical aspects, statistics and business, companies continue to struggle to get hold of competent Big Data Analysts.
Hence, there is a dearth of Big Data Analytics professions who can fill up the raging demand in the following roles:
​
Big Data Analyst
Big Data Architect
Big Data Developer
Big Data Developer - Hadoop
Big Data Engineer
Big Data Lead
Developer Big data
Big Data Tester
Principal Big Data Engineer
Senior Manager Big Data
Business Analytics Specialist
Data Visualization Developer
Business Intelligence (BI) Engineer
Big Data Solutions Architect
Some of the industries which are looking to hire Big Data Analysts to help transform their major business processes by properly analyzing and consequently utilizing available data are:
​Store Operations: Predicting buying patterns, study of demographics, weather, key events, etc.
1
Sales: Optimizing sales resources and accounts, product mix, etc.
2
Product manufacturing and distribution.
3
Banking, Finance & Frauds Services
4
Health & Life Insurance: Analyzing data in the electronic medical record (EMR) system.
5
Media and Entertainment: Enhancing revenues, understanding customer requirements, increasing marketing effectiveness, ratings and viewership.
6
7
7
Web & Digital Media: Personalizing user profiles according to one’s interests and likes.
8
Tourism: Creating detailed itineraries of customers.
9
Ecommerce & Customer Services: Increasing profits by customer relationship management. For example, designing recommendations based on the history of customers’ shopping experience.
10
Human Resources: Tracking employee performances, employee insights, etc
11
11
Telecommunications
The field of Big Data Analytics is booming in the present day. So if you are computer programmer with an aptitude in business application, you might just be perfect for one or more jobs, mentioned above.
​
Do want to work for biggest business moguls and tech gurus? Apply today!