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 t...
What is Big Data
Is Big Data really new? A trip down memory lane
1980s: Volume 1990s: Velocity 2000s: Variety
• Seismic an...
Big Data Technologies
• Non-Relational Data structures
• Distributed Parallel Fault Tolerant File System –
Hadoop (HDFS)
•...
Around the Globe
Geographical Distribution of Teams
Holiday Coverage
Agile Methodology
Market Trends
Local University Affi...
Thank you
Upcoming SlideShare
Loading in …5
×

Business Intelligence Engineering - Voices 2015

442 views

Published on

Business Intelligence Engineering for Big Data
Ramya Bommareddy
Voices 2015 - www.globaltechwomen.com

March 9th 2015

Session Length: 1 hour

Beyond building and developing information technology applications and teams, we will share our experiences of thriving in a globally distributed organization. As a dynamic duo of Engineering Manager and Engineering lead, we will showcase how we are delivering innovation in Business Intelligence and Data Engineering in an Enterprise Data warehouse setting. We cater to the data and information needs of the business community whose priorities are moving targets. The myth that Agile methodology only works for co-located teams has been busted. Promoting a culture of outside-in-thinking through customer centricity, with focus on quality is the key to success.

Published in: Technology
0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total views
442
On SlideShare
0
From Embeds
0
Number of Embeds
12
Actions
Shares
0
Downloads
3
Comments
0
Likes
1
Embeds 0
No embeds

No notes for slide

Business Intelligence Engineering - Voices 2015

  1. 1. Voices Conference 2015 Business Intelligence Engineering Ramya Bommareddy March 9, 2015
  2. 2. Happy International Women’s Day!
  3. 3. 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
  4. 4. 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
  5. 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. 6. Around the Globe Geographical Distribution of Teams Holiday Coverage Agile Methodology Market Trends Local University Affiliations & Programs Mentoring Programs
  7. 7. Thank you

×