BIG Data & Hadoop Applications in Tourism & Hospitality

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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.



• 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.

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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.

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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 establishmentsb) Monitoring all social media chatter in the main tourist locationsc) 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?

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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 CharacteristicsFlexible

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

Instructor Led Live Virtual Sessions

Lifetime access to 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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