BIG Data & Hadoop Applications in Tourism & Hospitality

Slide ‹#›© 2015 BlueCamphor Technologies (P) Ltd. www.skillspeed.com
Applications of BIG Data in
Tourism & Hospitality

Introduction to Big Data
Big data is the term for a collection of data sets so
large and complex that it becomes difficult to
process using on-hand database management
tools or traditional data processing applications
Systems / Enterprises generate huge amount of
data from Terabytes to Petabytes
Understanding Big Data can give you innovative
solutions to various queries.

Applications of BIG Data in Tourism & Hospitality
• Destination Mining
• Customer Acquisition
• Real-time Pricing of Add-on Services

Customer Acquisition
Creation of personalized experiences results in greater customer acquisition. They can provide
trip itineraries, add-on services and discount coupons based on the taste & preference patterns
of their consumers.
They can also utilize BIG Data via social media to create extremely targeted marketing
campaigns. For example, they can target SEC A+ travellers, residing in Bangalore with a penchant
for foreign holidays.
Get Started with BIG Data & Hadoop
Customized Packages
Hospitality chains can mine data regarding traveller paths via social media to create relevant
tour packages. For example if they see a rise in demand for a traveller path X - Y - G - B, they
can create a specific package for that to boost their customer acquisition & profitability.
They can also track the taste & preference patterns of their consumers to create personalized
experiences.

Real-time Pricing of Add-on Services
Revenues from add-on services can be boosted via the integration of real-time
discounting. For example, customer X has a history of purchasing luxury products from the
hotel boutique, due to this, his profile is give a ‘luxury tag’. Based on this, he can be
provided a discounted spa coupon which due to this past behavior will have an extremely
high chance of conversion.
This process can be done on-scale so as to boost hotel revenues. It is currently being
adopted by leading hotel chains.

Cuba
 The Cuban government is currently using Big Data applications to provide immersive tourist experiences by doing
the following:
a) Monitoring each of their hotels and tourist establishments
b) Monitoring all social media chatter in the main tourist locations
c) Collecting all social media reviews of Cuba
Hyatt Hotels
 Hyatt Hotels is one of chains leveraging Big Data. It’s been aligning all the functions of its organization to
optimally use predictive data analytics. This ranges from budget allocation for yearly marketing spends to
grocery inventory for each restaurant in each property across the world. They also mine customer data to
understand the complete booking process based on which they optimize their outreach programs.
Examples of BIG Data in Tourism & Hospitality

© 2015 BlueCamphor Technologies (P) Ltd.
How Are Insights Derived from BIG
Data?
Say Hello to Hadoop Development :)

Introduction to Hadoop
Apache Hadoop is a framework that allows the distributed processing of large data sets across clusters of
commodity computers using a simple programming model.
It is an Open-Source Data Management technology with extensive storage and distributed processing.
Hadoop
Characteristics
Flexible
Reliable
Economical
Scalable Get Started with BIG Data & Hadoop

Why Should You Learn Hadoop?
• Hadoop is a modern BIG Data processing framework which utilizes distributed computing clusters.
• It can process, manage and store unstructured data with absolute ease.
• Due to its scalability & effectiveness, companies are heavily adopting Hadoop.
• It has become the standard for storing, processing and analyzing big data.
• BIG Data & Hadoop professionals are in extremely high demand.
• This is the first step to becoming a data scientist or data architect.

Reports – 2015
Here are some of the other Reports that convey the same message:
• “It is expected that Hadoop and Big Data Analytics will grow to around $13.9 billion from 2012 to 2017.”
(Markets and Markets Research Report)
• “The Data market currently with the fastest growth are Hadoop and NoSQL software and services.”
(Technology Research Organization, Wikibon)
• “The Big Data market will likely hit $23.8 billion with a 31.7% rise per year.” (IDC Report)
• “Almost 90% organizations have embarked on Hadoop related projects and thus Hadoop skills are in huge
demand.” (According to the Big Data Executive Survey 2013)
• “Companies hiring Hadoop professionals Analytics professionals obtain a 250 percent hike in their
salaries.” (According to Analytics Industry Report)
Gartner had predicted, “Hadoop will be in most advanced analytics products by 2015.” By far and large, this
prediction has turned out to be true. Hadoop is “The Technology” to harness Big Data

Predictions for 2015
According to the Forrester Report:
• A new data economy will arise, Hadooponomics. Due to its vast data prowess, enterprise adoption of
Hadoop will become compulsory. All those companies, which were unsure of adopting Hadoop till 2014,
are bound to adopt it in 2015
• The surge in demand for Hadoop job professionals will be fulfilled by Java professionals & other software
engineers who will upgrade their skills
• The creation of SQL-on-Hadoop options will further enhance usability & adoption
• Due to the introduction of Yarn (Version 2.0), the usage of Hadoop will go beyond analytics. It will
transform into an application platform giving birth to new frameworks in the Hadoop ecosystem
• New Hadoop sources will emerge from organizations like Oracle, HP, Tibco and SAP. Vendors such as Red
Hat, VMware and Microsoft will include Hadoop in their operating Systems

Why SkillSpeed?
Course
Curriculum
from Industry
Experts
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Sessions
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Course
Content via
LMS
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Course Topics
Module 1
Introduction to Big
Data and Hadoop
Module 2
HDFS Internals, Hadoop
Configurations and
Data Loading
Module 3
Introduction to Map
Reduce
Module 4
Advanced Map Reduce
Concepts
Module 5
Introduction to Pig
Module 6
Advanced Pig and
Introduction to Hive
Module 7
Advanced Hive
Concepts
Module 8
Extending Hive and
HBase Introduction
Module 9
Advanced HBase and
Oozie Introduction
Module 10
Project Set-up
Discussion

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BIG Data & Hadoop Applications in Tourism & Hospitality

BIG Data & Hadoop Applications in Tourism & Hospitality

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