Voices Conference 2015
Business Intelligence Engineering
Ramya Bommareddy
March 9, 2015
Happy International Women’s Day!
Big Data
Collect, store and analyze any kind of
data
Mobility
Cloud
Anytime, anywhere access to files,
applications, and tools is the norm
Security
Information to securely flow anywhere
Strategic Pillars for Modern Businesses
What is Big Data
Is 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
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
Around the Globe
Geographical Distribution of Teams
Holiday Coverage
Agile Methodology
Market Trends
Local University Affiliations & Programs
Mentoring Programs
Thank you

Business Intelligence Engineering - Voices 2015

  • 1.
    Voices Conference 2015 BusinessIntelligence Engineering Ramya Bommareddy March 9, 2015
  • 2.
  • 3.
    Big Data Collect, storeand analyze any kind of data Mobility Cloud Anytime, anywhere access to files, applications, and tools is the norm Security Information to securely flow anywhere Strategic Pillars for Modern Businesses
  • 4.
    What is BigData Is 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
  • 5.
    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
  • 6.
    Around the Globe GeographicalDistribution of Teams Holiday Coverage Agile Methodology Market Trends Local University Affiliations & Programs Mentoring Programs
  • 7.