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Top 10 Industries using Big Data and 121 companies who hire Hadoop Developers

Latest Update made on November 24, 2016.

The next decade of industries will be using Big Data to solve the unsolved data problems in the physical world. Big Data analysis will be about building systems around the data that is generated. Every department of an organization including marketing, finance and HR are now getting direct access to their own data. This is creating a huge job opportunity and there is an urgent requirement for the professionals to master Big Data Hadoop skills.

Organizations across the world are excited about big data and customer analytics not just because the data are big but the potential for companies using big data is huge. It is no surprise that the amount of data generated daily is increasing exponentially whether it is from online purchase transactions, social media posts, browsing history or web data trails or due to increased use of sensor data. As the big data boom spreads globally, we at DeZyre describe on how big data helps business across different industries and the companies using big data that stand to gain the most from implementing big data initiatives.

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A study at McKinsley Global Institute predicted that by 2020, the annual GDP in manufacturing and retail industries will increase to $325 billion with the use of big data analytics. The study also estimates the productivity gains in government services and healthcare will reach $285 billion mark with the use of big data analytics, totalling to $610 billion per annum.

Studies show, that by 2020, 80% of all Fortune 500 companies will have adopted Hadoop. 8% of all organizations have a Hadoop initiative deployed and are producing valuable work, while 20% are in the experimental stages, and about 18% are developing strategies for using Hadoop. Around 19% of the companies are working on getting enough information to make an informed decision, and the remainder either do not have adoption plans or simply don’t know how to go about leveraging Hadoop and big data.

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Big data has become a big deal in 2015 with 90% of world’s data created in the last 2 years from social network posts, customer transactions, web browsing data trails, etc. If you Google for the term “Big Data” it will generate close to 8 million results under the news section and approximately 54 million results on regular Google search. With 3 billion people online and 247 billion emails sent every day, a research estimates that 8 zettabytes of big data will be created in 2015.

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The global Hadoop market is expected to grow to $50 billion by 2020

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As per big data industry trends, the hype of Big Data had just begun in 2011. In 2015, big data has evolved beyond the hype. 87% of companies using big data believe that within next 3 years big data analytics will redefine the competitive landscape of various industries. 89% of the companies using big data believe that companies that do not adopt big data analytics in the next year are likely to lose market share and momentum.

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How big data helps businesses?

Companies using big data excel in sorting the growing influx of big data collected, filtering out the relevant information to draw deeper insights through big data analytics. Businesses use big data analytics to target and retarget the right customers by providing personalized experiences, solve their problems and build products or services based on their needs. Business can generate huge ROI with big data –however, only with actionable insight.

Businesses are relying on Big Data to gain a competitive advantage and data analysis has become a corporate priority. Among the Fortune 1000 firms surveyed by NewVantage, 62.5% reported having Big Data initiatives in production or operationalized across the enterprise. While only 5.4% of firms reported Big Data investments in excess of $50 million in 2014. The number of firms that project investments in Big Data of greater than $50 million leaps to 26.8% by 2017, a steep and rapid increase.

"Business leaders are taking a more active role in information and analytics projects as awareness of the value of data-driven decision making grows," says Nick Heudecker, Research Director at Gartner. He also added that businesses typically have multiple goals for big data initiatives, such as enhancing the customer experience, streamlining existing processes, achieving more targeted marketing and reducing costs.

Driving insights from Big Data in business for success depends on focusing and analysing various sources of business data. The major sources of business data can be divided into:

1) Operational: This data includes the metrics that calculates the quality of business processes that come from various sources - from hardware resources to call center interactions.

2) Financial: This data provides the metrics on the financial health of the company. According to Eric Simonson, managing partner for research at Dallas-based Everest Group, for the Financial sector, the big data analytics opportunity is more about processes where operations and finance intersect and generate lots of data, or can be appended with external data to generate insights.

3) Constituency: This category includes the data about the employees and partners. It includes the employee's data that ranges from performance histories, survey results to salaries. 

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Top 10 Industries Using Big Data

 

How 5 industries are using Big Data

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In today’s competitive environment, from retail to healthcare, real estate to agriculture, and finance to telecom,  sports to healthcare, and energy to utilities there are several industries harnessing the power of big data to create value from the increasing flood of data generated. With tons of industries using big data to convert the growing influx of data into useful insights and gain competitive advantage in the big data evolution-big data is making waves in almost every sector.

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  • Big data is changing the manner in which sellers, buyers, real-estate professionals and as well banks think about different transactions related to property. Zillow, Redfin and Trulia are companies using hadoop and big data to democratize data for real estate consumers through customer analytics.
  • Financial companies are leveraging big data to transform their processes, their organizations and soon the entire industry through customer analytics by building new products and services, managing risk in loan portfolios, fraud detection and prevention, etc. Financial companies using big data tend to generate solid business results, in particular in the customer space.
  • Healthcare industries are using big data analytical capabilities to make better sense of changing healthcare environment by providing personalized medicine, cancer treatment and genomics, monitoring patient vitals, fraud prevention and detection of healthcare insurance, etc.
  • Retail industry is harnessing the power of big data to provide personalized shopping experience and for providing customer driven promotions to its customers through customer analytics.

How various industries are using Big Data

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With emerging big data industry trends in almost all sectors, there is an increasing demand to hire Hadoop developers. Companies using big data are looking to hire  Hadoop developers who are skilfully talented and well versed with the practical implementations of Hadoop open source. This will help them add value to the organizations growing influx of data- even at the stake of high paying premiums.

For the complete list of big data companies and their salaries- CLICK HERE

At DeZyre, we are often asked about the various Hadoop companies, how Hadoop is used and the Hadoop companies that hire  Hadoop developers. Here is a list of companies using Hadoop that we have compiled for  you with Hadoop wiki as a reference - 

 

Company

Business

Technical Specs

Uses

1

Facebook

Social Site

8 cores and 12 TB of storage

Used as a source for reporting and machine learning

2

Twitter

Social site

 

Hadoop is used since 2010 to store and process tweets, log files using LZO compression technique as it is fast and also helps release CPU for other tasks.

3

LinkedIn

Social site

2X4 and 2X6 cores – 6X2TB SATA

4100 nodes 

LinkedIn's data flows through Hadoop clusters.User activity, server metrics, images,transaction logs stored in HDFS are used by data analysts for business analytics like discovering people you may know.

4

Yahoo!

Online Portal

4500 nodes – 1TB storage, 16 GB RAM

Used for scaling tests

5

AOL

Online portal

ETL style processing and statistics generation

Targets machines and dual processors

6

EBay

Ecommerce

4K+ nodes cluster

With 300+ million users browsing more than 350 million products listed on their website, eBay has one of the largest Hadoop clusters in the industry that run prominelty on MapReduce Jobs. Hadoop is used at eBay for Search Optimization and Research.

7

Alibaba

E-Commerce

Processes 15-node cluster business data

Analyzes vertical search engine

8

Cloudspace

IT developer

 

Specializes in designing and building web applications

9

FOX Audience Network

News TV Channel

30-70 machine clusters

Used for log analysis and machine learning

10

Adobe

Publishing and editing software

30 nodes running HDFS, 5 to 14 nodes HBase

Social services to structured data storage

11

Infosys

IT Consulting

Per client requirements

Client projects in finance, telecom and retail.

12

Cognizant

IT Consulting

Per client requirements

Client projects in finance, telecom and retail.

13

Accenture

IT Consulting

Per client requirements

Client projects in finance, telecom and retail.

14

Hulu

Video Delivery

13 machine clusters – 8 cores, 4 TB

Used for analysis and log storage

15

Last.fm

Online FM Music

100 nodes, 8 TB storage

Calculation of charts and data testing

16

IMVU

Social Games

Clusters up to 4 m1.large EC2 instances – 5TB volume

Informs product development decisions

17

Cornell University Web Lab

University

100 nodes – 2 GB RAM, 72 GB Hard Drive

Generates web graphs

18

Mercadolibre.com

Ecommerce

20 nodes cluster – 53.3 TB Storage

Processes customers and operations log

19

Ning

Social Network Platform

8 cores – 16 GB RAM

Used for reporting and analytics

20

Rackspace

Web  hosting services

30 node cluster - 4-8GB RAM, 1.5TB/node storage

Indexing logs from email hosting system for search

21

Rakuten

Ecommerce

69 node cluster

Analyze log and mine data

22

Powerset / Microsoft

Natural Language Search

 

Used for Data Storage

23

Sling Media

Television service provider

10-Node cluster

Run algorithms on a number of raw data

24

Spotify

Digital music platform

690 node cluster - 38TB RAM, 28 PB storage

Used for content generation, data aggregation

25

Quantcast

Search site

3000 cores, 3500TB

Customizes data path

26

A9.com

Product & Visual Search

1 to 100 nodes

Search Indices

27

Accela Communications

Video Management

10 1U servers, with 4 cores, 4GB ram and 3 drives

Processing registrations

28

Adyard

Ad network

12 nodes running HDFS

Used for log storage and report generation

29

Able Grape

Search Engine

2 nodes @ 8 CPUs/node

Analyze and index the textual information

30

Adknowledge

Ad network

Clusters 50 to 200 nodes

Builds recommender system and click stream analytics

31

Aguja

E-Commerce

Clusters 48 cores in total, 4GB RAM and 1 TB storage

Analyzes search logs

32

ARA.COM.TR 

Search Engine

Clusters 10 to 100 nodes

Used for analytics

33

Archive.is

Archiving service

3 nodes (16Gb RAM, 6Tb storage)

Provides backup for web pages

34

Atbrox

Search technology

Clusters using Amazon’s Elastic MapReduce

Used for search and information extraction

35

BabaCar

Car rental

Clusters 4 nodes

Analyzes rental bookings

36

Basenfasten

Personal Services

Clusters 4 nodes

Storage for logs and digital assets

37

Benipal Technologies

Ecommerce

Cluster 35 Node with 50TB cluster storage

Analyzes for image processing

38

Beebler

Social site

Clusters 14 node

Matches dating profiles

39

Bixo Labs

Elastic Web Mining

Clusters 20 machines

Provides consulting and training

40

BrainPad

Data mining and analysis

Summarizes user tracking data

Business analytics and solutions

41

Brilig

Online advertising

Clusters 10 nodes, 24 GB RAM, 6 X1TB SATA

Used for digital display advertising

42

Brockmann Consult GmbH 

Environmental informatics and Geo information services

Clusters 20 nodes, 112 TB disk space total

Analyzes environmental Earth Observation Data products

43

Caree.rs

Job site

15 nodes

Runs Machine learning Algorithms

44

CDU now!

Political party

 

Used for Searching, Filtering and Indexing

45

Charleston

Domain registration

15 nodes

Used for creating Domain names

46

Contextweb

Ad Exchange

50 machines clusters 400 crores, 140 TB raw storage

Stores ad serving logs

47

Cooliris

Iphone/Ipad app

15 – node cluster, 8 GB RAM, 3-4 TB storage

Browsing photos/videos

48

CRS4

Research Centre

Clusters 400 nodes

Promotes study, development and application of innovative solutions

49

Crowdmedia

Digital Content Marketing

5 Node cluster

Analyzes trends on social networks

50

Datagraph

Cloud based database

Cluster sizes of 1 to 20 nodes

Used for processing large database

51

Dataium

Customer analytics

 

Analyzes Data and company/consumer behaviour

52

Deepdyve

Commercial Website

clusters with 5-80 nodes

Provides storage service for index shards

53

Detikcom

News portal

Uses 9 nodes

Analyzes search logs, most view news

54

DropFire

IT Developer

 

Integrates, analyzes and deliver company data

55

eCircle

Digital Marketing provider

60 nodes cluster each >1000 cores, total 5T Ram, 1PB

Handles Market Data

56

Enet

Newspaper

5 nodes cluster

Analyzes data mining and machine learning

57

Enormo

Search engine

4 nodes cluster – 32 cores, 1 TB

Removing duplicate listings and grouping similar ones

58

ESPOL University (Escuela Superior Politécnica del Litoral) in Guayaquil, Ecuador

Weblog Blog Repository

4 nodes cluster

Projects machine learning, social network and network security

59

Eyealike

Ecommerce

 

Used for image content based advertising

60

Explore.To Yellow Pages

Telephone directory

Clusters with 5-80 nodes

Used for internal search, filtering and indexing

61

Forward3D

Global digital agency

19 virtual machine cluster

Used for log analysis and machine learning

62

Freestylers

Image retrieval engine

Produces original database

Analyzes similarities of user’s behaviour

63

GBIF

Non-profit Biodiversity organization

18 nodes running a mix

Queries against biodiversity data

64

GIS.FCU

University

3 machine cluster

Stores sensor Data

65

Gruter. Corp.

Next-gen Tech company

Clusters 30 machines

Uses for Data Indexing

66

Gewinnspiele

Games site

Clusters 6 nodes

Used for high speed Data Mining

67

GumGum

Advertising agency

Clusters 9 nodes

Used for Images and Advertising analytics

68

Hadoop Korean User Group

Korean Community page

50 nodes, Pentium 4 PC, HDFS 4TB Storage

Used for development projects

69

Hotels & Accommodation

Search engine for hotels

3 machine clusters - 4 cores, 2 TB

Data search and aggregation

70

Hundeshagen

Law firm

6 node cluster – 4 dual CPUs, 5 TB storage, 4 GB RAM

Used for high speed Data Mining

71

ICCS

University

 

Used for Blog Posts, teaching and general research

72

IIIT, Hyderabad

Research lab

Clusters 10-30 nodes

Retrieves and extracts information and research projects

73

Infochimps

Big Data Enterprise

30 node - AWS EC2 cluster

Analysis of Data on terascale datasets

74

Journey Dynamics

Driver Profiling company

 

Analyzes GPS Data

75

Kalooga

Image gallery services

20 node  cluster

Processing of events and analysis

76

Korrelate

Ecommerce

HBase – 5TB data size

Processes events and data for reporting

77

Koubei.com

Ecommerce

 

Processes whole price Data

78

Language, Interaction and Computation Laboratory (Clic - CIMeC)

Research Laboratory

10 nodes – 8 core, 8GB RAM

Studies verbal and non-verbal communication

79

Lineberger Comprehensive Cancer Center - Bioinformatics Group

Cancer Centre Research

8 dual quad core – 48 TB storage

Used for Database

80

Markt24

Ecommerce

8GB Ram, 4 cores, 1TB

Filter user behaviour, recommendations from external sites

81

MicroCode

Domain registration

18 node cluster – 1 TB Storage

Used for Customer Relation Management

82

Media 6 Degrees

Marketing agency

20 node cluster – 16 GB, 6 TB

Ad optimization and social graph analysis

83

MeMo News - Online and Social Media Monitoring

Social Media

 

Processes news and unstructured data

84

Neptune

Online Marketer

200 nodes – 2 TB storage, 4 GB RAM

Stores large structured Data set

85

NetSeer

Ad-Network Technology

50 node cluster

Used for serving and log analysis

86

Openstat

Analytics Services

50 node – generates 25 GB of reports

Runs web and log analytics

87

optivo

Email marketing software

 

Analyzes email campaigns

88

Papertrail

app log management

 

Feeds customer logs

89

PCPhase

Mobile integration company

4nodes – 4 cores, 4GB RAM and 500 G storage

Generate reports for a large mobile web site

90

Performable

Web Analytics Software

 

Process marketing, CRM and email data

91

Pharm2Phork Project

Agricultural Traceability

 

Monitors and tunes workflow processes

92

Pressflip

Personalized Persistent Search

 

Process documents and data storage

93

Pronux

Software solutions

4 nodes cluster – 32 cores, 1 TB

Searches and analyzes book-keeping postings

94

PokerTableStats

Game site

2 nodes cluster – 15 cores, 500 GB

Analyzes poker game history

95

PSG Tech, Coimbatore, India

College

5-10 nodes, 4 GB RAM and 16 GB HDD

Used for solving large scale alignment problems

96

Rapleaf

Marketing data and software company

80 node cluster - 4TB storage, 16GB RAM

Simplifies data flow

97

Recruit

Advertisement company

50 nodes - 2TB*4 disk 16GB RAM

Used for analyzing logs and mine data

98

Redpoll

machine learning library

35 nodes - 10TB disk 16GB RAM

deals with large-scale data sets

99

Resu.me

Job site

5 nodes

process user resume data and run algorithms

100

Rodacino

Greece news channel

16 node cluster - 2 quad core CPUs, 6TB storage, 24GB RAM

Used for log and usage analysis

101

Rovi Corporation

Digital entertainment

40 nodes with 24 cores at 2.4GHz and 128GB RAM

Used for crawling news sites

102

SLC Security Services LLC

Data Information Provider

18 node cluster - 1TB storage, 4GB RAM

Used for high speed data mining applications

103

Specific Media

Ad agency

Cluster 27-111nodes

Used for log aggregation, reporting and analysis

104

Sthenica

Data Solutions provider

3 node cluster

Monitors social media and personalized marketing

105

The Lydia News Analysis Project

University

17-node and 103-node clusters

Processes daily newspapers as well as historical archives

106

Tailsweep

Social media and ad network

8 node cluster - 8GB RAM, 500GB/node Raid 1 storage

Used for data mining and blog crawling

107

Telefonica Research

Research & Development

6 node cluster - 8GB RAM and 2 TB storage

Used in data mining and user modelling

108

Telenav

Mobile phone app

60-Node cluster - 4GB RAM, 13TB storage

Helps learning algorithms for Statistical Categorization

109

Tepgo

E-Commerce Data analysis

3 node cluster - 4GB RAM and 1 TB storage

Analyzes search and usage logs

110

Tynt

Content Management System

Cluster 94 nodes – 752 cores

Assembles web publishers' summaries

111

Universidad Distrital Francisco Jose de Caldas (Grupo GICOGE/Grupo Linux UD GLUD/Grupo GIGA)

Free software working group

5 node cluster

supports the research project

112

University of Freiburg - Databases and Information Systems

Database and information system

10 nodes cluster - 4GB RAM, 3TB/ node storage

queries on large RDF graphs

113

University of Glasgow - Terrier Team

Open source search engine

30 nodes cluster - 4GB RAM, 1TB/node storage

facilitate information retrieval research & experimentation

114

University of Maryland

University

 

Used in machine translation, language modelling, image processing etc.

115

University of Nebraska Lincoln, Holland Computing Center

University

one medium-sized cluster

Used for research projects

116

University of Twente, Database Group

University

16 node cluster - 8GB main memory, 1TB disk

Used in computer science master's program

117

Visible Measures Corporation

Video ad campaigns

128 CPU cores – 100 TB of storage

Used for scalable Data pipeline

118

Web Alliance

Web marketing and Ecommerce

 

Allows to store index and search data

119

Webmaster Site

Chat and Ecommerce

4 node cluster – 2 TB Storage, 32 GB RAM

Used for log analysis and trends prediction

120

WorldLingo

Online translator page

22 nodes, 2TB storage, 8 GB RAM

Stores millions of documents

121

Zvents

Event Management

10 node cluster – 1 TB node storage

Discovers event information

List of Companies Hiring Hadoop Developers 

Accenture Deloitte
Collabera Technologies Pvt. Ltd KPIT Technologies Ltd
Tata Consultancy Services  Tech Mahindra Ltd.
Randstad India Ltd. Adobe Systems Ltd.
Walmart Global Technologu Services ValueLabs LLP

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