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#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.

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Sales: Optimizing sales resources and accounts, product mix, etc.

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Product manufacturing and distribution.

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Banking, Finance & Frauds Services

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Health & Life Insurance: Analyzing data in the electronic medical record (EMR) system.

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Media and Entertainment: Enhancing revenues, understanding customer requirements, increasing marketing effectiveness, ratings and viewership.

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Web & Digital Media: Personalizing user profiles according to one’s interests and likes.

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Tourism: Creating detailed itineraries of customers.

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Ecommerce & Customer Services: Increasing profits by customer relationship management. For example, designing recommendations based on the history of customers’ shopping experience.

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Human Resources: Tracking employee performances, employee insights, etc

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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!

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