BIG Data & Hadoop Applications in Entertainment

Slide ‹#›© 2015 BlueCamphor Technologies (P) Ltd. www.skillspeed.com

Applications of BIG Data in Entertainment


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

Retail industries generate extremely high volumes of data due to high churn of transactions & inventory.

These companies can utilize BIG Data insights to ensure higher profitability.


Applications of BIG Data in Entertainment

• Content Analytics• Consumer Engagement & Retention• Advertising via Content Consumption Patterns• Enhanced Gameplay Experience


BIG Data Applications in Entertainment

Content Analytics

It’s very important to understand how users interact with your content. For example, you can combine social media reactions with viewership drop-off rates to infer the quality & engagement of your content. This analysis is crucial to content producers as this provides them an accurate medium to enhace their content. Another use-case can be, to track consumer consumption habits and generate new content with similar hooks & triggers to keep them coming back to you.

Consumer Retention

It is crucial to engage & build your community, take Youtube for example, haven’t you often experienced that the song you want to hear next has been recommended to you already? This builds extreme retention & engagement which arises from BIG Data. Consumer actions & preferences are tracked in real-time to provide accurate suggestions. This technique is also used by other streaming applications such as Netflix, Vimeo & Daily Motion.

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BIG Data Applications in Entertainment


Advertising via Content Consumption Patterns

A marketer today can target you based on you entertainment consumption habits. For example, you can advertise to all individuals who’re Star Wars fans, based in New York with a age range of 18-25. You can also go broad and target ONLY the followers of a specific TV show. The content we consumer is the biggest indicator of our tastes & preferences, this information is now available to marketers via BIG Data.

Enhanced Gameplay Experience

At what exact point do I present an in-app purchase to my user? What is the difference between user interaction by device for my application? These compelling questions for game creators which are now answered by BIG Data. User behavior is tracked based on attention and action, thus, resulting in the creation of user narratives & segments. This enables the creation of compelling gameplay experiences & a greater understanding of consumer expectations.



Current Examples of Big Data Application

Spotify Have you heard about Spotify? Almost every music lover knows about them and they credit BIG Data

for the creation of such a loyal following. To ensure a superior experience in terms of search, relevancy and recommendations, they adopted a Hadoop framework for the real-time analysis of consumer behavior based on which they developed their engagement algorithms. This also enables them to provide a personalized experience which results in long-term customer retention.

• Netflix Netflix is the proverbial poster child of BIG Data in entertainment. They produced two shows, ‘House

of Cards’ and ‘Orange is the New Black’, based purely on their consumer behavior pattenrns. Needless to say, they were a runaway success. They analyzed each & every consumer touch-point ranging from ratings & genre preferences to drop-off rates & subscription habits. Rumor has it, they’re going to be coming out with a few new shows soon.



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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 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




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Course Curriculum

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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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