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Deciphering Agile Big Data Slide 1 Deciphering Agile Big Data Slide 2 Deciphering Agile Big Data Slide 3 Deciphering Agile Big Data Slide 4 Deciphering Agile Big Data Slide 5 Deciphering Agile Big Data Slide 6 Deciphering Agile Big Data Slide 7 Deciphering Agile Big Data Slide 8 Deciphering Agile Big Data Slide 9 Deciphering Agile Big Data Slide 10 Deciphering Agile Big Data Slide 11 Deciphering Agile Big Data Slide 12 Deciphering Agile Big Data Slide 13 Deciphering Agile Big Data Slide 14 Deciphering Agile Big Data Slide 15 Deciphering Agile Big Data Slide 16 Deciphering Agile Big Data Slide 17 Deciphering Agile Big Data Slide 18 Deciphering Agile Big Data Slide 19
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Deciphering Agile Big Data

The trend in software development has been changed a lot nowadays. People are expecting predictable features from some unpredictable data. We can now develop software products from raw data, refine raw data to produce business insights and analytic. We are using visualizations, statistics, and machine learning to develop and plan the needful. This is termed as Data Science. Data modelling is the first part of any software product development. So, “Waterfall” is the approach.

During this period, “Agile” approaches has been emerged. Software Development projects are now getting delivered on a stipulated period and budget. Data science is still trapped on waterfall method.

Problem area lies here. Galore of opportunities arrives at the juncture of these two trends of

development. Agile big data is a development methodology which can be utilized to address the same. Session will be focused to explore new approaches and team structures to follow this methodology.

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Deciphering Agile Big Data

  1. 1. DECIPHERING AGILE BIG DATA Sourav Maitra 1st – 3rd December, 2017 | Westin, Hyderabad, INDIA
  2. 2. All about mindset development… & Putting things in place
  3. 3. Disclaimer: All the images are downloaded. Copyright (if there is any) belongs to the respective site only. It is used for educational purpose only.
  4. 4. Big Data Management "the organization, administration and management of large volumes of structured and unstructured data“
  5. 5. Big-Words related to Big Data
  6. 6. NO-SQL Eco-System Aggregate Stores Graph • Aggregate Stores • Less or no connection between objects • Good for storing discrete data. But sacrifice • Data model • Language • Functionality Disclaimer: All the images are downloaded. Copyright (if there is any) belongs to the respective site only. It is used for educational purpose only.
  7. 7. Disclaimer: All the images are downloaded. Copyright (if there is any) belongs to the respective site only. It is used for educational purpose only.
  8. 8. Selection Criteria
  9. 9. Big-Words related to Big Data
  10. 10. Agile Big-Data An approach/mindset towards the Big-Data Management Projects
  11. 11. Hiccups…. • Different viewpoints • Different recommendations
  12. 12. Roles in Agile Big Data People Over Processes • Stakeholders • Business Development Team • Marketers • Product Managers • UX and corresponding UI designers • Interaction Designers • Web Developers • Data Scientists • Applied Researchers • Platform Engineers • Op/DevOps Professionals
  13. 13. Roles in Agile Big Data Responding to Change… • Generalists over specialist • Small teams over large teams • High level tools over traditional tools • Smaller Sprint size over Sprint with larger in size
  14. 14. A Good Agile Team • Working CSS and Design aesthetic to be maintained by Designers • Application Developers can deliver core modules of the application • Building Web services and application integration can be designed and monitored by Data Scientist • Entire project needs to be monitored by Product managers
  15. 15. Disclaimer: All the images are downloaded and used as it is. I do not own the copyright of those images. I have used those images purely for educational purpose. Copyright is owned by the respective websites.
  16. 16. Sourav Maitra Chief Avid – AgiTechAvids Program Director @ Joba Online 905-111-70-70 info@agitechavids.com http://agitechavids.com Thank You
  • whilpert

    Apr. 16, 2020
  • chiranjitdas3

    Mar. 18, 2018
  • csepari

    Jan. 20, 2018

The trend in software development has been changed a lot nowadays. People are expecting predictable features from some unpredictable data. We can now develop software products from raw data, refine raw data to produce business insights and analytic. We are using visualizations, statistics, and machine learning to develop and plan the needful. This is termed as Data Science. Data modelling is the first part of any software product development. So, “Waterfall” is the approach. During this period, “Agile” approaches has been emerged. Software Development projects are now getting delivered on a stipulated period and budget. Data science is still trapped on waterfall method. Problem area lies here. Galore of opportunities arrives at the juncture of these two trends of development. Agile big data is a development methodology which can be utilized to address the same. Session will be focused to explore new approaches and team structures to follow this methodology.

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