business intelligence engineering - voices 2015

7
Voices Conference 2015 Business Intelligence Engineering Ramya Bommareddy March 9, 2015

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Page 1: Business Intelligence Engineering - Voices 2015

Voices Conference 2015

Business Intelligence EngineeringRamya Bommareddy

March 9, 2015

Page 2: Business Intelligence Engineering - Voices 2015

Happy International Women’s Day!

Page 3: Business Intelligence Engineering - Voices 2015

Big Data

Collect, store and analyze any kind of

data

Mobility

CloudAnytime, anywhere access to files,

applications, and tools is the norm

Security

Information to securely flow anywhere

Strategic Pillars for Modern Businesses

Page 4: Business Intelligence Engineering - Voices 2015

What is Big DataIs Big Data really new? A trip down memory lane

1980s: Volume 1990s: Velocity 2000s: Variety

• Seismic and Weather Data

• Optimization problems

• Military applications

• PCs and Workstations

become ubiquitous

• Distributed processing

comes of age

• Internet explosion

• Mobile technology

expands

• Birth of social media

Page 5: Business Intelligence Engineering - Voices 2015

Big Data Technologies

• Non-Relational Data structures

• Distributed Parallel Fault Tolerant File System –

Hadoop (HDFS)

• Redundant Data Storage Across Servers – Triple

Redundancy

• Distributed Storage

• Distributed Processing

• Advanced Analytics

• Reduced Data Movement

14.6 PB

average stored data

per company >1,000

employees of top 5

industries

Volume Velocity

1TB

amount of data

created by an

industrial machine

per hour

Page 6: Business Intelligence Engineering - Voices 2015

Around the Globe

Geographical Distribution of Teams

Holiday Coverage

Agile Methodology

Market Trends

Local University Affiliations & Programs

Mentoring Programs

Page 7: Business Intelligence Engineering - Voices 2015

Thank you